fix(#84): Make Redis optional in ServiceDefaults to fix integration tests#88
fix(#84): Make Redis optional in ServiceDefaults to fix integration tests#88
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Wong fixed the "tools: Tool names must be unique" error by: - Restructuring .ai-team/skills/auth0-integration/ (moved from loose file to proper subdirectory) - Adding standardized YAML frontmatter with unique 'name' fields to all skill definitions - Auditing tool names across skills and MCP servers (zero conflicts found) Result: Copilot CLI operational. No remaining blockers. Status: Complete ✓ Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add Aspire.Hosting.Redis v13.0.0 and Microsoft.Extensions.Caching.StackExchangeRedis v10.0.0 to Directory.Packages.props - Update StackExchange.Redis to v2.9.32 for Aspire compatibility - Add Aspire.Hosting.Redis to AppHost.csproj - Add Redis resource to AppHost Program.cs with health check and data volume - Update UI service reference to include Redis - Create RedisHealthCheck implementation in ServiceDefaults.HealthChecks - Add Redis distributed cache registration in ServiceDefaults.Extensions - Create ServiceDefaults.Tests project with integration tests for cache registration Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Create ICacheService interface with GetAsync, SetAsync, and RemoveAsync methods - Implement CacheService wrapping IDistributedCache with JSON serialization - Register ICacheService in ServiceDefaults.Extensions - Add comprehensive unit tests for cache operations - Tests cover cache hits/misses, expiration, serialization, and error handling - Use 5-minute default TTL for distributed cache operations - Include XML documentation on all public methods Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Documents implementation details, design decisions, test results, and next phase recommendations for cache service layer. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Created Integration.Tests project with 11 comprehensive cache operation tests - Tests cover: SetAsync/GetAsync/RemoveAsync operations, TTL expiration, concurrent ops, error handling, performance baselines - Validates ICacheService registration and end-to-end JSON serialization - Tests graceful degradation on corrupted cache entries - Verifies cache performance (< 5ms hit latency) - All 11 integration tests pass - No regressions in existing unit tests (364 passing) - ServiceDefaults.Tests maintains 12/12 pass rate Acceptance criteria met: ✓ Cache operations work end-to-end ✓ Concurrent operations (100+) succeed ✓ Cache serialization/deserialization validated ✓ Error handling tested ✓ Performance baseline established ✓ Integration tests comprehensive Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Comprehensive test report documenting: - All 11 integration tests passing - Cache operations validated (Set/Get/Remove/TTL/Expiration) - 100+ concurrent operations stress test passed - Error handling and graceful degradation confirmed - Performance baseline: < 1ms cache hit latency - All 8 acceptance criteria met - 364 tests total (no regressions) - Ready for production deployment Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- docs/Aspire.md: System architecture, topology, resource configuration, local setup - docs/Cache-Strategy.md: Three-tier strategy, usage patterns, invalidation approaches - docs/Health-Checks.md: Readiness/liveness probes, interpreting responses, troubleshooting - docs/Running-Aspire-Locally.md: Quick start guide, prerequisites, step-by-step setup - docs/Production-Readiness.md: Persistence, replication, monitoring, scaling, security All documentation follows markdown standards and includes code examples from the project. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Session: 2026-02-17-issue84-resolution Requested by: mpaulosky Changes: - Merged Nebula's Redis health check fix decision - Logged test investigation and resolution - Captured team directive: all commits require passing tests - Updated decisions.md with new team policies - Archived all inbox decision files Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…ests Tests were failing because Redis was unconditionally required but not available in integration test environment. Now Redis registration is optional and can be disabled via Redis__Enabled configuration. - Made IConnectionMultiplexer registration conditional on Redis:Enabled config - Added RedisHealthCheck conditionally only when Redis is enabled - Set Redis__Enabled=false in IssueTrackerTestFactory for test environment - All 418 integration and unit tests now passing Fixes #84 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Pull request overview
This pull request addresses Issue #84 by making Redis optional in ServiceDefaults to fix integration test failures. The problem was that ServiceDefaults unconditionally registered RedisHealthCheck which required IConnectionMultiplexer, but integration tests only spin up MongoDB via TestContainers without Redis. The solution introduces a Redis:Enabled configuration flag (defaulting to true) to conditionally register Redis-related services including IConnectionMultiplexer, RedisHealthCheck, and the distributed cache implementation.
Changes:
- Made Redis registration conditional in ServiceDefaults based on
Redis:Enabledconfiguration - Added Redis container to AppHost orchestration with health checks
- Created CacheService implementation with JSON serialization support for distributed caching
- Added comprehensive test coverage (12 ServiceDefaults tests, 11 integration tests)
- Added extensive documentation covering Aspire architecture, cache strategy, health checks, running locally, and production readiness
Reviewed changes
Copilot reviewed 26 out of 26 changed files in this pull request and generated 11 comments.
Show a summary per file
| File | Description |
|---|---|
| src/ServiceDefaults/Extensions.cs | Added conditional Redis registration based on configuration |
| src/ServiceDefaults/HealthChecks/RedisHealthCheck.cs | New Redis health check with 2-second timeout |
| src/ServiceDefaults/CacheService.cs | New ICacheService interface and implementation with JSON serialization |
| src/ServiceDefaults/GlobalUsings.cs | Added required imports for Redis and caching |
| src/ServiceDefaults/ServiceDefaults.csproj | Added Redis and caching package references |
| src/AppHost/Program.cs | Added Redis container resource to orchestration |
| src/AppHost/AppHost.csproj | Added Aspire.Hosting.Redis package reference |
| tests/IssueTracker.PlugIns.Tests.Integration/IssueTrackerTestFactory.cs | Set Redis__Enabled environment variable before ServiceDefaults initialization |
| tests/ServiceDefaults.Tests/* | New test project with cache service and extensions tests |
| tests/Integration.Tests/* | New test project with cache integration tests |
| docs/*.md | Five new comprehensive documentation files |
| Directory.Packages.props | Added Redis-related package versions |
| IssueTracker.slnx | Added new test projects to solution |
| }; | ||
| return ConnectionMultiplexer.Connect(config); | ||
| }); | ||
| } |
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When Redis is disabled (Redis:Enabled=false), ICacheService is still registered but IDistributedCache is not registered by AddStackExchangeRedisCache. This will cause a runtime exception when ICacheService tries to resolve IDistributedCache. Either register a fallback in-memory IDistributedCache implementation when Redis is disabled, or conditionally register ICacheService only when Redis is enabled.
| } | |
| } | |
| else | |
| { | |
| // Fallback: use in-memory distributed cache when Redis is disabled | |
| builder.Services.AddDistributedMemoryCache(); | |
| } |
| builder.Services.AddStackExchangeRedisCache(options => | ||
| { | ||
| options.ConfigurationOptions = new StackExchange.Redis.ConfigurationOptions | ||
| { | ||
| EndPoints = { redisEndpoint }, | ||
| AbortOnConnectFail = false, | ||
| ConnectTimeout = 2000, | ||
| SyncTimeout = 2000, | ||
| }; | ||
| }); | ||
|
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| // Redis Connection: Required by RedisHealthCheck | ||
| builder.Services.AddSingleton<IConnectionMultiplexer>(sp => | ||
| { | ||
| var config = new StackExchange.Redis.ConfigurationOptions | ||
| { | ||
| EndPoints = { redisEndpoint }, | ||
| AbortOnConnectFail = false, | ||
| ConnectTimeout = 2000, | ||
| SyncTimeout = 2000, | ||
| }; | ||
| return ConnectionMultiplexer.Connect(config); |
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Redis configuration options are duplicated in two places: AddStackExchangeRedisCache (lines 35-41) and IConnectionMultiplexer registration (lines 47-53). The configuration is identical. Consider extracting this to a shared ConfigurationOptions instance to follow the DRY principle and ensure consistency if configuration values change.
| builder.Services.AddStackExchangeRedisCache(options => | |
| { | |
| options.ConfigurationOptions = new StackExchange.Redis.ConfigurationOptions | |
| { | |
| EndPoints = { redisEndpoint }, | |
| AbortOnConnectFail = false, | |
| ConnectTimeout = 2000, | |
| SyncTimeout = 2000, | |
| }; | |
| }); | |
| // Redis Connection: Required by RedisHealthCheck | |
| builder.Services.AddSingleton<IConnectionMultiplexer>(sp => | |
| { | |
| var config = new StackExchange.Redis.ConfigurationOptions | |
| { | |
| EndPoints = { redisEndpoint }, | |
| AbortOnConnectFail = false, | |
| ConnectTimeout = 2000, | |
| SyncTimeout = 2000, | |
| }; | |
| return ConnectionMultiplexer.Connect(config); | |
| var redisConfigOptions = new StackExchange.Redis.ConfigurationOptions | |
| { | |
| EndPoints = { redisEndpoint }, | |
| AbortOnConnectFail = false, | |
| ConnectTimeout = 2000, | |
| SyncTimeout = 2000, | |
| }; | |
| builder.Services.AddStackExchangeRedisCache(options => | |
| { | |
| options.ConfigurationOptions = redisConfigOptions; | |
| }); | |
| // Redis Connection: Required by RedisHealthCheck | |
| builder.Services.AddSingleton<IConnectionMultiplexer>(sp => | |
| { | |
| return ConnectionMultiplexer.Connect(redisConfigOptions); |
| @@ -0,0 +1,73 @@ | |||
| // ============================================ | |||
| // Copyright (c) 2023. All rights reserved. | |||
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The copyright year is 2023, but this file was created in 2026 (according to the PR date). The copyright year should be updated to match the current year or the year of creation.
| // Copyright (c) 2023. All rights reserved. | |
| // Copyright (c) 2026. All rights reserved. |
| @@ -0,0 +1,133 @@ | |||
| // ============================================ | |||
| // Copyright (c) 2023. All rights reserved. | |||
There was a problem hiding this comment.
The copyright year is 2023, but this file was created in 2026 (according to the PR date). The copyright year should be updated to match the current year or the year of creation.
| // Copyright (c) 2023. All rights reserved. | |
| // Copyright (c) 2026. All rights reserved. |
| ## Production Readiness Guide | ||
|
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| ### Overview | ||
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| This guide outlines best practices and configurations for deploying Issue Tracker to production | ||
| environments. It covers Redis persistence, cache behavior, health checks, monitoring, and | ||
| performance tuning. | ||
|
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| ### Redis Persistence & Data Safety | ||
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| In production, Redis must persist data to survive restarts and failures. | ||
|
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| #### Persistence Strategies | ||
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| ##### RDB (Snapshot) - Default | ||
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| **How it works**: Periodically saves entire dataset to disk | ||
|
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| **Configuration**: | ||
|
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| ```yaml | ||
| # docker-compose.yml for production | ||
| services: | ||
| redis: | ||
| image: redis:7-alpine | ||
| command: redis-server --save 60 1000 --appendonly no | ||
| volumes: | ||
| - redis-data:/data | ||
| ports: | ||
| - "6379:6379" | ||
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| volumes: | ||
| redis-data: | ||
| driver: local | ||
| ``` | ||
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| **Options**: | ||
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| - `--save 60 1000` - Save every 60 seconds if 1000+ keys changed | ||
| - Adjust to `--save 300 10` for less frequent saves (slower recovery, better performance) | ||
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| **Pros**: Simple, low overhead | ||
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| **Cons**: Can lose data between snapshots | ||
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| ##### AOF (Append-Only File) - Safer | ||
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| **How it works**: Logs every write command, replays on recovery | ||
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| **Configuration**: | ||
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| ```yaml | ||
| services: | ||
| redis: | ||
| image: redis:7-alpine | ||
| command: redis-server --appendonly yes --appendfsync everysec | ||
| volumes: | ||
| - redis-data:/data | ||
| ports: | ||
| - "6379:6379" | ||
| ``` | ||
|
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| **Options**: | ||
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| - `--appendfsync everysec` - Fsync once per second (balanced safety/performance) | ||
| - `--appendfsync always` - Fsync after every write (safest, slowest) | ||
| - `--appendfsync no` - Let OS decide when to fsync (fastest, riskier) | ||
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| **Pros**: Safer, minimal data loss | ||
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| **Cons**: Slower writes, larger disk footprint | ||
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| ##### Hybrid (RDB + AOF) - Recommended | ||
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| **Configuration**: | ||
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| ```yaml | ||
| services: | ||
| redis: | ||
| image: redis:7-alpine | ||
| command: | | ||
| redis-server | ||
| --save 60 1000 | ||
| --appendonly yes | ||
| --appendfsync everysec | ||
| volumes: | ||
| - redis-data:/data | ||
| ports: | ||
| - "6379:6379" | ||
| ``` | ||
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| On recovery, Redis uses AOF first (more recent), then RDB if AOF unavailable. | ||
|
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| ### Redis Replication (High Availability) | ||
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| For production with downtime requirements, deploy Redis in a replicated setup: | ||
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| ```yaml | ||
| version: '3.8' | ||
| services: | ||
| redis-primary: | ||
| image: redis:7-alpine | ||
| command: redis-server --port 6379 | ||
| volumes: | ||
| - redis-primary:/data | ||
| ports: | ||
| - "6379:6379" | ||
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| redis-replica: | ||
| image: redis:7-alpine | ||
| command: redis-server --port 6380 --slaveof redis-primary 6379 | ||
| depends_on: | ||
| - redis-primary | ||
| volumes: | ||
| - redis-replica:/data | ||
| ports: | ||
| - "6380:6380" | ||
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| volumes: | ||
| redis-primary: | ||
| redis-replica: | ||
| ``` | ||
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| **Application Configuration**: | ||
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| ```csharp | ||
| // Connects to primary for writes, can read from replicas | ||
| var options = new StackExchange.Redis.ConfigurationOptions | ||
| { | ||
| EndPoints = { "redis-primary:6379", "redis-replica:6380" }, | ||
| TieBreaker = "", | ||
| ServiceName = "mymaster" | ||
| }; | ||
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| var connection = await StackExchange.Redis.ConnectionMultiplexer.ConnectAsync(options); | ||
| ``` | ||
|
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| ### Cache Behavior: Local vs. Production | ||
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| #### Local Development (AppHost) | ||
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| - **Scope**: Single developer machine | ||
| - **Persistence**: Volumes created/destroyed with AppHost | ||
| - **TTLs**: Short (5-10 minutes) for rapid iteration | ||
| - **Invalidation**: Manual (restart AppHost to clear all cache) | ||
| - **Monitoring**: Aspire dashboard provides visibility | ||
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| #### Production | ||
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| - **Scope**: Multiple servers, distributed load | ||
| - **Persistence**: Persistent volumes (RDB/AOF) | ||
| - **TTLs**: Longer (30+ minutes) for cost/performance optimization | ||
| - **Invalidation**: Careful coordination (invalidate only what changed) | ||
| - **Monitoring**: OpenTelemetry metrics, alerting on cache misses | ||
|
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| #### Key Differences | ||
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| | Aspect | Local | Production | | ||
| |--------|-------|------------| | ||
| | **Replication** | Single instance | Master-slave or cluster | | ||
| | **Failover** | Manual restart | Automatic (Redis Sentinel or Cluster) | | ||
| | **Data Persistence** | Docker volume | Persistent storage + backups | | ||
| | **TTL Strategy** | Aggressive (fast iteration) | Conservative (cost/consistency) | | ||
| | **Invalidation** | Full cache wipes OK | Surgical, event-driven | | ||
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| ### Health Check Configuration for Production | ||
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| Health checks must be configured differently for startup vs. ongoing operation: | ||
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| #### Startup Phase (High Confidence Required) | ||
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| During container startup, services must be "ready" before accepting traffic: | ||
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| ```csharp | ||
| // In Program.cs | ||
| var healthChecks = builder.Services.AddHealthChecks() | ||
| .AddCheck<MongoDbHealthCheck>( | ||
| "mongodb", | ||
| HealthStatus.Unhealthy, // Fail on any error | ||
| tags: new[] { "startup" } | ||
| ) | ||
| .AddCheck<RedisHealthCheck>( | ||
| "redis", | ||
| HealthStatus.Unhealthy, // Fail on any error | ||
| tags: new[] { "startup" } | ||
| ); | ||
| ``` | ||
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| Kubernetes probe: | ||
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| ```yaml | ||
| readinessProbe: | ||
| httpGet: | ||
| path: /health | ||
| port: 5000 | ||
| initialDelaySeconds: 30 # Wait for startup | ||
| periodSeconds: 10 | ||
| failureThreshold: 3 | ||
| ``` | ||
|
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| #### Ongoing Phase (Graceful Degradation) | ||
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| Once running, services should degrade rather than fail: | ||
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| ```csharp | ||
| // After startup, mark as "Degraded" instead of "Unhealthy" | ||
| var healthChecks = builder.Services.AddHealthChecks() | ||
| .AddCheck<MongoDbHealthCheck>( | ||
| "mongodb", | ||
| HealthStatus.Degraded, // Non-fatal issues | ||
| tags: new[] { "liveness" } | ||
| ) | ||
| .AddCheck<RedisHealthCheck>( | ||
| "redis", | ||
| HealthStatus.Degraded, // Cache is optional, not critical | ||
| tags: new[] { "liveness" } | ||
| ); | ||
| ``` | ||
|
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| ### Monitoring & Observability | ||
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| #### OpenTelemetry Metrics Collection | ||
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| Issue Tracker exports metrics via OpenTelemetry. Configure exporters in production: | ||
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| ```csharp | ||
| // In ServiceDefaults/Extensions.cs (already implemented) | ||
| builder.Services.AddOpenTelemetry() | ||
| .WithMetrics(metrics => metrics | ||
| .AddAspNetCoreInstrumentation() | ||
| .AddHttpClientInstrumentation() | ||
| .AddOtlpExporter(options => | ||
| { | ||
| options.Endpoint = new Uri("http://otel-collector:4317"); | ||
| }) | ||
| ); | ||
| ``` | ||
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| **Metrics to Export**: | ||
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| - Cache hit/miss rates | ||
| - MongoDB query latency | ||
| - Redis command latency | ||
| - HTTP request latency | ||
| - Error rates per service | ||
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| #### Prometheus Scraping | ||
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| Configure Prometheus to scrape metrics endpoint: | ||
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| ```yaml | ||
| global: | ||
| scrape_interval: 15s | ||
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| scrape_configs: | ||
| - job_name: 'issuetracker' | ||
| static_configs: | ||
| - targets: ['issuetracker-ui:5000'] | ||
| metrics_path: '/metrics' | ||
| ``` | ||
|
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| #### Application Insights (Azure) | ||
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| For Azure deployments, configure Application Insights: | ||
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| ```csharp | ||
| builder.Services.AddApplicationInsightsTelemetry(); | ||
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| builder.Services.ConfigureOpenTelemetryMeterProvider(metrics => | ||
| metrics.AddAzureMonitorMetricExporter() | ||
| ); | ||
| ``` | ||
|
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| ### Performance Tuning | ||
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| #### Cache TTL Optimization | ||
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| Analyze cache hit/miss rates and adjust TTLs: | ||
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| **Strategy**: | ||
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| - **High Hit Rate (>80%)**: TTL is good, no change needed | ||
| - **Low Hit Rate (<50%)**: Increase TTL (data is reusable longer) | ||
| - **Stale Data Complaints**: Decrease TTL (data changes more frequently) | ||
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| **Recommended Production TTLs**: | ||
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| ```csharp | ||
| // Query results: Re-execute queries every 30 minutes | ||
| const int QueryResultsTTL = 30; | ||
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| // Output/reports: Re-render every 60 minutes | ||
| const int ReportTTL = 60; | ||
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| // Session data: Keep user prefs for 24 hours | ||
| const int SessionTTL = 24 * 60; | ||
| ``` | ||
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| #### Redis Memory Management | ||
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| Configure Redis memory limits and eviction policy: | ||
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| ```yaml | ||
| services: | ||
| redis: | ||
| image: redis:7-alpine | ||
| command: | | ||
| redis-server | ||
| --maxmemory 512mb | ||
| --maxmemory-policy allkeys-lru | ||
| ports: | ||
| - "6379:6379" | ||
| ``` | ||
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| **Policies**: | ||
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| - `allkeys-lru` - Evict least recently used keys when limit reached | ||
| - `volatile-lru` - Evict keys with TTL when limit reached | ||
| - `allkeys-random` - Random eviction | ||
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| **Monitoring**: | ||
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| ```bash | ||
| # Check memory usage | ||
| redis-cli INFO memory | ||
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| # Expected output: | ||
| # used_memory_human:125.42M | ||
| # maxmemory:512000000 | ||
| ``` | ||
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| #### Database Query Optimization | ||
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| Ensure MongoDB indexes are created for frequently-queried fields: | ||
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| ```csharp | ||
| // In migration or setup | ||
| var collection = database.GetCollection<Issue>("issues"); | ||
| var indexModel = new CreateIndexModel<Issue>( | ||
| Builders<Issue>.IndexKeys.Ascending(x => x.CreatedBy) | ||
| ); | ||
| await collection.Indexes.CreateOneAsync(indexModel); | ||
| ``` | ||
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| **Verify indexes**: | ||
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| ```bash | ||
| mongosh --host localhost --port 27017 | ||
| use devissuetracker | ||
| db.issues.getIndexes() | ||
| ``` | ||
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| ### Backup & Disaster Recovery | ||
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| #### MongoDB Backups | ||
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| Schedule daily backups using `mongodump`: | ||
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| ```bash | ||
| #!/bin/bash | ||
| # backup-mongodb.sh | ||
| mongodump \ | ||
| --host mongodb-prod:27017 \ | ||
| -u admin -p $MONGO_PASSWORD \ | ||
| --out /backups/mongo-$(date +%Y%m%d) | ||
| ``` | ||
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| #### Redis Backups | ||
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| Copy RDB/AOF files to persistent storage: | ||
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| ```bash | ||
| #!/bin/bash | ||
| # backup-redis.sh | ||
| docker exec redis-prod redis-cli BGSAVE | ||
| docker cp redis-prod:/data/dump.rdb /backups/dump-$(date +%Y%m%d).rdb | ||
| ``` | ||
|
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| #### Recovery Procedures | ||
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| **MongoDB Recovery**: | ||
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| ```bash | ||
| mongorestore \ | ||
| --host mongodb-prod:27017 \ | ||
| -u admin -p $MONGO_PASSWORD \ | ||
| /backups/mongo-20240101 | ||
| ``` | ||
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| **Redis Recovery**: | ||
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| ```bash | ||
| docker cp /backups/dump-20240101.rdb redis-prod:/data/dump.rdb | ||
| docker restart redis-prod | ||
| ``` | ||
|
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| ### Scaling Strategies | ||
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| #### Horizontal Scaling (Multiple UI Instances) | ||
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| Use load balancer in front of multiple UI instances: | ||
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| ```yaml | ||
| services: | ||
| loadbalancer: | ||
| image: nginx:latest | ||
| ports: | ||
| - "80:80" | ||
| volumes: | ||
| - ./nginx.conf:/etc/nginx/nginx.conf | ||
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| ui-1: | ||
| image: issuetracker-ui:latest | ||
| depends_on: | ||
| - mongodb | ||
| - redis | ||
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| ui-2: | ||
| image: issuetracker-ui:latest | ||
| depends_on: | ||
| - mongodb | ||
| - redis | ||
| ``` | ||
|
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| #### Redis Cluster (Horizontal Cache) | ||
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| For massive cache volumes, use Redis Cluster: | ||
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| ```yaml | ||
| services: | ||
| redis-cluster: | ||
| image: redis:7-alpine | ||
| command: redis-server --cluster-enabled yes | ||
| environment: | ||
| - REDIS_CLUSTER_NODES=6 | ||
| ``` | ||
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| Application connects to any node; Redis handles sharding automatically. | ||
|
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| ### Troubleshooting Production Issues | ||
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| #### Symptom: Slow Response Times | ||
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| 1. Check health endpoint: | ||
| ```bash | ||
| curl https://prod.example.com/health | ||
| ``` | ||
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| 2. Inspect OpenTelemetry traces for slow queries/services | ||
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| 3. Review cache hit rates (low hit rate = increasing database load) | ||
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| 4. Check Redis and MongoDB resource usage: | ||
| ```bash | ||
| docker stats | ||
| ``` | ||
|
|
||
| #### Symptom: High Memory Usage | ||
|
|
||
| 1. Check Redis memory: | ||
| ```bash | ||
| redis-cli INFO memory | ||
| ``` | ||
|
|
||
| 2. If near limit, keys are being evicted; consider increasing memory or adjusting TTL | ||
|
|
||
| 3. Check MongoDB memory: | ||
| ```bash | ||
| mongosh --eval "db.stats()" | ||
| ``` | ||
|
|
||
| #### Symptom: Frequent Health Check Failures | ||
|
|
||
| 1. Review health check timeout thresholds (may be too strict) | ||
|
|
||
| 2. Check network latency between containers | ||
|
|
||
| 3. Increase timeout values if infrastructure is slow: | ||
| ```csharp | ||
| private static readonly TimeSpan Timeout = TimeSpan.FromSeconds(5); // Increased from 3 | ||
| ``` | ||
|
|
||
| ### Security Considerations | ||
|
|
||
| #### Network Isolation | ||
|
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| Ensure MongoDB and Redis are not exposed to the internet: | ||
|
|
||
| ```yaml | ||
| services: | ||
| mongodb: | ||
| ports: | ||
| - "127.0.0.1:27017:27017" # Localhost only | ||
|
|
||
| redis: | ||
| ports: | ||
| - "127.0.0.1:6379:6379" # Localhost only | ||
| ``` | ||
|
|
||
| #### Authentication | ||
|
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||
| Enable authentication for both services: | ||
|
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| **MongoDB**: | ||
|
|
||
| ```yaml | ||
| environment: | ||
| - MONGO_INITDB_ROOT_USERNAME=admin | ||
| - MONGO_INITDB_ROOT_PASSWORD=${MONGO_PASSWORD} | ||
| ``` | ||
|
|
||
| **Redis**: | ||
|
|
||
| ```yaml | ||
| command: redis-server --requirepass ${REDIS_PASSWORD} | ||
| ``` | ||
|
|
||
| #### Encryption | ||
|
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| Enable TLS for production connections: | ||
|
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| **MongoDB TLS**: | ||
|
|
||
| ```csharp | ||
| var settings = MongoClientSettings.FromConnectionString( | ||
| "mongodb+srv://admin:pass@mongodb.example.com/?ssl=true" | ||
| ); | ||
| var client = new MongoClient(settings); | ||
| ``` | ||
|
|
||
| **Redis TLS**: | ||
|
|
||
| ```csharp | ||
| var options = ConfigurationOptions.Parse( | ||
| "redis-prod.example.com:6380,ssl=true,sslProtocols=Tls12" | ||
| ); | ||
| var connection = await ConnectionMultiplexer.ConnectAsync(options); | ||
| ``` | ||
|
|
||
| ### Pre-Deployment Checklist | ||
|
|
||
| - [ ] Redis persistence enabled (RDB or AOF) | ||
| - [ ] MongoDB backups configured and tested | ||
| - [ ] Health checks configured for startup + ongoing operation | ||
| - [ ] OpenTelemetry metrics exporter configured | ||
| - [ ] Cache TTLs optimized for production load | ||
| - [ ] MongoDB indexes created for query performance | ||
| - [ ] Network security in place (no internet exposure) | ||
| - [ ] Authentication enabled for MongoDB and Redis | ||
| - [ ] TLS/HTTPS enabled for all external communication | ||
| - [ ] Monitoring and alerting configured | ||
| - [ ] Disaster recovery procedures documented | ||
| - [ ] Load balancer configured (if scaling horizontally) | ||
|
|
||
| ### Post-Deployment Monitoring | ||
|
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| After deployment: | ||
|
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| 1. Monitor health check endpoint every 5 minutes | ||
| 2. Track cache hit/miss rates daily | ||
| 3. Review performance metrics weekly | ||
| 4. Test backup/recovery procedures monthly | ||
| 5. Rotate credentials quarterly |
There was a problem hiding this comment.
This documentation file uses H4 (####) and H5 (#####) heading levels. According to the project's markdown standards (guideline 1000002), content should be restructured to use only H2 and H3 headings. H4 usage should be restructured, and H5 is more strongly discouraged. Consider promoting some sections or reorganizing the hierarchy to eliminate these deeper heading levels.
| // Handle test scenarios where Redis is not available | ||
| if (_connection == null) | ||
| { | ||
| return HealthCheckResult.Unhealthy("Redis connection is not configured"); | ||
| } | ||
|
|
There was a problem hiding this comment.
The null check for _connection will never be true because the constructor parameter is not nullable and will throw before this line is reached if null is passed. Since RedisHealthCheck is only registered when Redis is enabled (line 67 in Extensions.cs), and IConnectionMultiplexer is registered as a singleton when Redis is enabled (line 45-55 in Extensions.cs), this defensive null check is unnecessary and unreachable. Consider removing it or making the constructor parameter nullable if null checks are truly needed.
| // Handle test scenarios where Redis is not available | |
| if (_connection == null) | |
| { | |
| return HealthCheckResult.Unhealthy("Redis connection is not configured"); | |
| } |
| @@ -0,0 +1,95 @@ | |||
| // ============================================ | |||
| // Copyright (c) 2023. All rights reserved. | |||
There was a problem hiding this comment.
The copyright year is 2023, but these test files were created in 2026 (according to the PR date). The copyright year should be updated to match the current year or the year of creation.
| // Copyright (c) 2023. All rights reserved. | |
| // Copyright (c) 2026. All rights reserved. |
| ## Health Checks & Service Monitoring | ||
|
|
||
| ### Overview | ||
|
|
||
| Health checks are automated probes that verify the availability and responsiveness of external | ||
| dependencies (MongoDB, Redis). Issue Tracker exposes two standardized health check endpoints that | ||
| return the aggregate health status and detailed per-service information. | ||
|
|
||
| ### Health Check Endpoints | ||
|
|
||
| #### `/health` - Readiness Probe | ||
|
|
||
| Indicates whether the application is **ready to accept traffic**. | ||
|
|
||
| **Purpose**: Used by load balancers, orchestrators, and deployment tools to determine readiness | ||
|
|
||
| **HTTP Status Codes**: | ||
|
|
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| - `200 OK` - All services healthy, application ready | ||
| - `503 Service Unavailable` - One or more services degraded or unhealthy | ||
|
|
||
| **Response Example (All Healthy)**: | ||
|
|
||
| ```json | ||
| { | ||
| "status": "Healthy", | ||
| "checks": { | ||
| "mongodb": { | ||
| "status": "Healthy", | ||
| "description": "MongoDB connection is responsive" | ||
| }, | ||
| "redis": { | ||
| "status": "Healthy", | ||
| "description": "Redis connection is responsive" | ||
| } | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| **Response Example (MongoDB Degraded)**: | ||
|
|
||
| ```json | ||
| { | ||
| "status": "Degraded", | ||
| "checks": { | ||
| "mongodb": { | ||
| "status": "Unhealthy", | ||
| "description": "MongoDB connection timed out after 3s" | ||
| }, | ||
| "redis": { | ||
| "status": "Healthy", | ||
| "description": "Redis connection is responsive" | ||
| } | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| #### `/health/live` - Liveness Probe | ||
|
|
||
| Indicates whether the application **process is alive** (not applicable to Issue Tracker currently, | ||
| but reserved for future implementation). | ||
|
|
||
| **Purpose**: Used to detect and restart dead processes | ||
|
|
||
| **HTTP Status Codes**: | ||
|
|
||
| - `200 OK` - Process is running | ||
| - `503 Service Unavailable` - Process is deadlocked or hung | ||
|
|
||
| ### Interpreting Health Responses | ||
|
|
||
| #### Status Levels | ||
|
|
||
| | Status | Meaning | Action | | ||
| |--------|---------|--------| | ||
| | **Healthy** | Service responds within timeout, fully operational | No action needed | | ||
| | **Degraded** | Service responds but with issues (slow, partial failure) | Investigate logs, consider restart | | ||
| | **Unhealthy** | Service unresponsive, timed out, or failed | Restart service, check container logs | | ||
|
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| #### Common Issues and Meanings | ||
|
|
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| | Response | Cause | Solution | | ||
| |----------|-------|----------| | ||
| | `"MongoDB connection is responsive"` | MongoDB healthy | None | | ||
| | `"MongoDB connection timed out after 3s"` | MongoDB slow or offline | Check `docker logs`, restart container | | ||
| | `"Redis connection is responsive"` | Redis healthy | None | | ||
| | `"Redis connection timed out after 2s"` | Redis slow or offline | Check `docker logs`, restart container | | ||
| | `"MongoDB ping returned zero response time"` | Unexpected response | Restart MongoDB, check network | | ||
|
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| ### MongoDB Health Check | ||
|
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| **Service**: `mongodb` | ||
|
|
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| **Probe Mechanism**: Sends a `ping` command to MongoDB admin database | ||
|
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| **Timeout**: 3 seconds | ||
|
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||
| **Implementation Details**: | ||
|
|
||
| ```csharp | ||
| public class MongoDbHealthCheck : IHealthCheck | ||
| { | ||
| private static readonly TimeSpan Timeout = TimeSpan.FromSeconds(3); | ||
|
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| public async Task<HealthCheckResult> CheckHealthAsync(...) | ||
| { | ||
| using var timeoutCts = new CancellationTokenSource(Timeout); | ||
|
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| var database = _client.GetDatabase("admin"); | ||
| var pingCommand = new BsonDocument("ping", 1); | ||
|
|
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| await database.RunCommandAsync<BsonDocument>(pingCommand, ...); | ||
|
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| return HealthCheckResult.Healthy("MongoDB connection is responsive"); | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| **Troubleshooting**: | ||
|
|
||
| ```bash | ||
| # Check MongoDB container is running | ||
| docker ps | grep mongodb | ||
|
|
||
| # Inspect container logs | ||
| docker logs <mongodb-container-id> | ||
|
|
||
| # Test connection manually | ||
| mongosh --host localhost --port 27017 -u course -p whatever | ||
|
|
||
| # If failed, restart container | ||
| docker restart <mongodb-container-id> | ||
| ``` | ||
|
|
||
| ### Redis Health Check | ||
|
|
||
| **Service**: `redis` | ||
|
|
||
| **Probe Mechanism**: Sends a `PING` command to Redis server | ||
|
|
||
| **Timeout**: 2 seconds | ||
|
|
||
| **Implementation Details**: | ||
|
|
||
| ```csharp | ||
| public class RedisHealthCheck : IHealthCheck | ||
| { | ||
| private static readonly TimeSpan Timeout = TimeSpan.FromSeconds(2); | ||
|
|
||
| public async Task<HealthCheckResult> CheckHealthAsync(...) | ||
| { | ||
| using var timeoutCts = new CancellationTokenSource(Timeout); | ||
|
|
||
| var server = _connection.GetServer(_connection.GetEndPoints().First()); | ||
| var pong = await server.PingAsync(flags: CommandFlags.DemandMaster); | ||
|
|
||
| if (pong != TimeSpan.Zero) | ||
| { | ||
| return HealthCheckResult.Healthy("Redis connection is responsive"); | ||
| } | ||
|
|
||
| return HealthCheckResult.Unhealthy("Redis ping returned zero response time"); | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| **Troubleshooting**: | ||
|
|
||
| ```bash | ||
| # Check Redis container is running | ||
| docker ps | grep redis | ||
|
|
||
| # Inspect container logs | ||
| docker logs <redis-container-id> | ||
|
|
||
| # Test connection manually | ||
| redis-cli -h localhost -p 6379 PING | ||
|
|
||
| # If failed, restart container | ||
| docker restart <redis-container-id> | ||
| ``` | ||
|
|
||
| ### Troubleshooting Unhealthy Services | ||
|
|
||
| #### Scenario 1: MongoDB Timeout | ||
|
|
||
| **Symptoms**: | ||
|
|
||
| - Health check shows: `"MongoDB connection timed out after 3s"` | ||
| - Blazor UI cannot load issue data | ||
|
|
||
| **Steps**: | ||
|
|
||
| 1. Check if container is running: | ||
| ```bash | ||
| docker ps | grep mongodb | ||
| ``` | ||
|
|
||
| 2. View container logs: | ||
| ```bash | ||
| docker logs <mongodb-container-id> --tail 50 | ||
| ``` | ||
|
|
||
| 3. If container is not running, restart AppHost: | ||
| ```bash | ||
| # Stop AppHost (Ctrl+C) | ||
| # Then restart | ||
| dotnet run --project src/AppHost/AppHost.csproj | ||
| ``` | ||
|
|
||
| 4. If container is running but slow, check resource constraints: | ||
| ```bash | ||
| docker stats <mongodb-container-id> | ||
| ``` | ||
|
|
||
| 5. If memory/CPU usage is high, restart the container: | ||
| ```bash | ||
| docker restart <mongodb-container-id> | ||
| ``` | ||
|
|
||
| #### Scenario 2: Redis Unreachable | ||
|
|
||
| **Symptoms**: | ||
|
|
||
| - Health check shows: `"Redis connection timed out after 2s"` | ||
| - Cache operations fail, no caching available | ||
|
|
||
| **Steps**: | ||
|
|
||
| 1. Verify Redis is running: | ||
| ```bash | ||
| redis-cli -h localhost -p 6379 PING | ||
| ``` | ||
|
|
||
| 2. If command fails, check if container exists: | ||
| ```bash | ||
| docker ps -a | grep redis | ||
| ``` | ||
|
|
||
| 3. Restart Redis container: | ||
| ```bash | ||
| docker restart <redis-container-id> | ||
| ``` | ||
|
|
||
| 4. Or restart entire AppHost: | ||
| ```bash | ||
| dotnet run --project src/AppHost/AppHost.csproj | ||
| ``` | ||
|
|
||
| #### Scenario 3: Intermittent Unhealthy Status | ||
|
|
||
| **Symptoms**: | ||
|
|
||
| - Health check occasionally shows "Degraded" | ||
| - Application works but is slow | ||
|
|
||
| **Causes**: | ||
|
|
||
| - High database/network load | ||
| - Container resource constraints | ||
| - DNS resolution delays | ||
|
|
||
| **Steps**: | ||
|
|
||
| 1. Monitor container resources: | ||
| ```bash | ||
| docker stats | ||
| ``` | ||
|
|
||
| 2. Check network latency: | ||
| ```bash | ||
| ping localhost | ||
| ``` | ||
|
|
||
| 3. Increase timeouts if acceptable for your use case (edit health check code) | ||
|
|
||
| 4. Scale or optimize database queries | ||
|
|
||
| ### Integration with Kubernetes/Container Orchestrators | ||
|
|
||
| Health check endpoints integrate with container orchestrators (Kubernetes, Docker Swarm, etc.) | ||
| for automated service recovery. | ||
|
|
||
| #### Kubernetes Probe Configuration | ||
|
|
||
| ```yaml | ||
| apiVersion: v1 | ||
| kind: Pod | ||
| metadata: | ||
| name: issuetracker | ||
| spec: | ||
| containers: | ||
| - name: ui | ||
| image: issuetracker-ui:latest | ||
|
|
||
| # Readiness probe: is service ready for traffic? | ||
| readinessProbe: | ||
| httpGet: | ||
| path: /health | ||
| port: 5000 | ||
| initialDelaySeconds: 10 | ||
| periodSeconds: 10 | ||
| timeoutSeconds: 5 | ||
| failureThreshold: 3 | ||
|
|
||
| # Liveness probe: is process still alive? | ||
| livenessProbe: | ||
| httpGet: | ||
| path: /health/live | ||
| port: 5000 | ||
| initialDelaySeconds: 30 | ||
| periodSeconds: 10 | ||
| timeoutSeconds: 5 | ||
| failureThreshold: 3 | ||
| ``` | ||
|
|
||
| **Behavior**: | ||
|
|
||
| - **initialDelaySeconds**: Wait 10 seconds after container starts before first probe | ||
| - **periodSeconds**: Check every 10 seconds | ||
| - **failureThreshold**: Restart container after 3 consecutive failures | ||
|
|
||
| #### Docker Compose Health Check | ||
|
|
||
| ```yaml | ||
| services: | ||
| ui: | ||
| image: issuetracker-ui:latest | ||
| healthcheck: | ||
| test: ["CMD", "curl", "-f", "http://localhost:5000/health"] | ||
| interval: 10s | ||
| timeout: 5s | ||
| retries: 3 | ||
| start_period: 30s | ||
| ``` | ||
|
|
||
| ### Monitoring Health Metrics | ||
|
|
||
| #### Check Health Endpoint from CLI | ||
|
|
||
| ```bash | ||
| # Using curl | ||
| curl http://localhost:5000/health | jq | ||
|
|
||
| # Using PowerShell | ||
| Invoke-WebRequest -Uri "http://localhost:5000/health" | ConvertFrom-Json | ConvertTo-Json -Depth 5 | ||
| ``` | ||
|
|
||
| #### Parse Health Response | ||
|
|
||
| ```csharp | ||
| public class HealthResponse | ||
| { | ||
| public string Status { get; set; } | ||
| public Dictionary<string, HealthCheckData> Checks { get; set; } | ||
| } | ||
|
|
||
| public class HealthCheckData | ||
| { | ||
| public string Status { get; set; } | ||
| public string Description { get; set; } | ||
| } | ||
| ``` | ||
|
|
||
| #### Metrics to Track | ||
|
|
||
| - **Health Check Latency**: Time to complete health check probe | ||
| - **Failure Rate**: Percentage of failed health checks | ||
| - **Recovery Time**: Time to transition from Unhealthy → Healthy | ||
|
|
||
| Use OpenTelemetry metrics collection (see Production-Readiness.md) to export these metrics to | ||
| monitoring systems. | ||
|
|
||
| ### Health Check Best Practices | ||
|
|
||
| 1. **Run health checks frequently** (every 10 seconds) to detect failures quickly | ||
| 2. **Use appropriate timeouts** (MongoDB: 3s, Redis: 2s) to avoid cascading failures | ||
| 3. **Alert on degraded status**, not just unhealthy | ||
| 4. **Test health endpoints manually** during deployment | ||
| 5. **Log health check results** for debugging | ||
| 6. **Implement gradual restarts** (exponential backoff) to avoid thundering herd |
There was a problem hiding this comment.
This documentation file uses H4 (####) heading levels. According to the project's markdown standards (guideline 1000002), content should be restructured to use only H2 and H3 headings. Consider promoting some sections or reorganizing the hierarchy to eliminate these deeper heading levels.
| ## Cache Strategy & Implementation | ||
|
|
||
| ### Overview | ||
|
|
||
| Issue Tracker implements a three-tier caching strategy using **Redis** as the distributed cache | ||
| backend. Caching improves application performance by storing frequently accessed data, reducing | ||
| database load and latency. | ||
|
|
||
| ### What Is Cached and Why | ||
|
|
||
| Caching is applied to operations where: | ||
|
|
||
| - Data is **read-heavy** (more reads than writes) | ||
| - Response time matters for user experience | ||
| - Data does not require strict real-time consistency | ||
| - Stale data is acceptable within a defined window | ||
|
|
||
| **Data NOT cached**: | ||
|
|
||
| - Authentication tokens (use session storage) | ||
| - User passwords or sensitive credentials | ||
| - Frequently-changing metrics (real-time dashboards) | ||
| - Transient error states | ||
|
|
||
| ### Three-Tier Caching Strategy | ||
|
|
||
| #### Tier 1: Query Results (5-Minute TTL) | ||
|
|
||
| Stores the results of expensive database queries. | ||
|
|
||
| **Use Case**: Listing all issues, fetching user profiles | ||
|
|
||
| **TTL**: 5 minutes (`TimeSpan.FromMinutes(5)`) | ||
|
|
||
| **Example**: | ||
|
|
||
| ```csharp | ||
| var cacheKey = "issues:all"; | ||
| var issues = await _cacheService.GetAsync<List<Issue>>(cacheKey); | ||
|
|
||
| if (issues is null) | ||
| { | ||
| // Cache miss: fetch from database | ||
| issues = await _issueRepository.GetAllAsync(); | ||
|
|
||
| // Store in cache for 5 minutes | ||
| await _cacheService.SetAsync(cacheKey, issues, TimeSpan.FromMinutes(5)); | ||
| } | ||
|
|
||
| return issues; | ||
| ``` | ||
|
|
||
| **Invalidation**: When issues are created, updated, or deleted | ||
|
|
||
| #### Tier 2: Output (10-Minute TTL) | ||
|
|
||
| Stores rendered or processed output, such as formatted reports or aggregated data. | ||
|
|
||
| **Use Case**: Issue statistics, dashboard summaries | ||
|
|
||
| **TTL**: 10 minutes (`TimeSpan.FromMinutes(10)`) | ||
|
|
||
| **Example**: | ||
|
|
||
| ```csharp | ||
| var cacheKey = "report:issue-summary"; | ||
| var report = await _cacheService.GetAsync<IssueReport>(cacheKey); | ||
|
|
||
| if (report is null) | ||
| { | ||
| // Cache miss: generate report | ||
| report = await _reportService.GenerateSummaryAsync(); | ||
|
|
||
| // Store in cache for 10 minutes | ||
| await _cacheService.SetAsync(cacheKey, report, TimeSpan.FromMinutes(10)); | ||
| } | ||
|
|
||
| return report; | ||
| ``` | ||
|
|
||
| **Invalidation**: When underlying data changes or on schedule | ||
|
|
||
| #### Tier 3: Session (1-Hour TTL) | ||
|
|
||
| Stores user-specific state and preferences. | ||
|
|
||
| **Use Case**: User settings, recent searches, filter state | ||
|
|
||
| **TTL**: 1 hour (`TimeSpan.FromHours(1)`) | ||
|
|
||
| **Example**: | ||
|
|
||
| ```csharp | ||
| var userId = currentUser.Id; | ||
| var cacheKey = $"session:user:{userId}:preferences"; | ||
| var prefs = await _cacheService.GetAsync<UserPreferences>(cacheKey); | ||
|
|
||
| if (prefs is null) | ||
| { | ||
| prefs = new UserPreferences { /* defaults */ }; | ||
| await _cacheService.SetAsync(cacheKey, prefs, TimeSpan.FromHours(1)); | ||
| } | ||
|
|
||
| return prefs; | ||
| ``` | ||
|
|
||
| **Invalidation**: When user updates preferences or session expires | ||
|
|
||
| ### Using ICacheService | ||
|
|
||
| #### Injection | ||
|
|
||
| Register `ICacheService` in your service class via constructor injection: | ||
|
|
||
| ```csharp | ||
| public class IssueService | ||
| { | ||
| private readonly ICacheService _cacheService; | ||
| private readonly IIssueRepository _repository; | ||
| private readonly ILogger<IssueService> _logger; | ||
|
|
||
| public IssueService( | ||
| ICacheService cacheService, | ||
| IIssueRepository repository, | ||
| ILogger<IssueService> logger) | ||
| { | ||
| _cacheService = cacheService; | ||
| _repository = repository; | ||
| _logger = logger; | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| #### Core Operations | ||
|
|
||
| **Get from Cache**: | ||
|
|
||
| ```csharp | ||
| public async Task<Issue?> GetIssueByIdAsync(string id) | ||
| { | ||
| var cacheKey = $"issue:{id}"; | ||
| var issue = await _cacheService.GetAsync<Issue>(cacheKey); | ||
|
|
||
| if (issue is not null) | ||
| { | ||
| _logger.LogDebug("Cache hit for issue {IssueId}", id); | ||
| return issue; | ||
| } | ||
|
|
||
| // Fetch from database and cache | ||
| issue = await _repository.GetByIdAsync(id); | ||
| if (issue is not null) | ||
| { | ||
| await _cacheService.SetAsync(cacheKey, issue, TimeSpan.FromMinutes(5)); | ||
| } | ||
|
|
||
| return issue; | ||
| } | ||
| ``` | ||
|
|
||
| **Set in Cache**: | ||
|
|
||
| ```csharp | ||
| await _cacheService.SetAsync( | ||
| key: "mydata:key", | ||
| value: myObject, | ||
| expiration: TimeSpan.FromMinutes(5) | ||
| ); | ||
| ``` | ||
|
|
||
| **Remove from Cache**: | ||
|
|
||
| ```csharp | ||
| await _cacheService.RemoveAsync("issue:123"); | ||
| ``` | ||
|
|
||
| ### Cache Key Naming Convention | ||
|
|
||
| Use hierarchical, dot-separated keys for clarity and organization. | ||
|
|
||
| **Format**: `{domain}:{entity}:{id}:{variant}` | ||
|
|
||
| **Examples**: | ||
|
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||
| ``` | ||
| issues:all # All issues (Tier 1) | ||
| issues:all:active # Active issues only | ||
| issues:list:page:1 # Paginated list, page 1 | ||
| issue:123 # Single issue by ID | ||
| issue:123:comments # Issue with comments | ||
| issue:123:activity:full # Full activity audit | ||
| report:issue-summary # Issue summary report | ||
| session:user:john-doe:preferences # User preferences | ||
| session:user:john-doe:recent-search # Recent searches | ||
| ``` | ||
|
|
||
| **Benefits**: | ||
|
|
||
| - Easy to find related cache entries | ||
| - Clear pattern for debugging | ||
| - Simplifies bulk invalidation (use prefix matching) | ||
|
|
||
| ### Cache Invalidation Patterns | ||
|
|
||
| #### Pattern 1: Immediate Invalidation (On Write) | ||
|
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| Invalidate cache immediately when data changes. | ||
|
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||
| ```csharp | ||
| public async Task UpdateIssueAsync(string id, UpdateIssueRequest request) | ||
| { | ||
| // Update in database | ||
| var issue = await _repository.UpdateAsync(id, request); | ||
|
|
||
| // Invalidate related caches | ||
| await _cacheService.RemoveAsync($"issue:{id}"); | ||
| await _cacheService.RemoveAsync("issues:all"); | ||
|
|
||
| return issue; | ||
| } | ||
| ``` | ||
|
|
||
| **Pros**: Data consistency, no stale cache | ||
|
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||
| **Cons**: Cache may become empty frequently, reducing hit rates | ||
|
|
||
| #### Pattern 2: Time-Based Expiration (TTL) | ||
|
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| Let cache expire naturally after TTL. | ||
|
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||
| ```csharp | ||
| // Cache expires after 5 minutes automatically | ||
| await _cacheService.SetAsync( | ||
| "issues:all", | ||
| issues, | ||
| TimeSpan.FromMinutes(5) | ||
| ); | ||
| ``` | ||
|
|
||
| **Pros**: Simple, less code | ||
|
|
||
| **Cons**: Stale data for up to TTL duration | ||
|
|
||
| #### Pattern 3: Lazy Invalidation | ||
|
|
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| Combine both: invalidate on critical updates, let others expire naturally. | ||
|
|
||
| ```csharp | ||
| public async Task DeleteIssueAsync(string id) | ||
| { | ||
| // Critical operation: invalidate immediately | ||
| await _cacheService.RemoveAsync($"issue:{id}"); | ||
| await _cacheService.RemoveAsync("issues:all"); | ||
|
|
||
| // Delete from database | ||
| await _repository.DeleteAsync(id); | ||
| } | ||
|
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| public async Task GetIssuesAsync() | ||
| { | ||
| // Non-critical: rely on TTL | ||
| var cacheKey = "issues:all"; | ||
| var issues = await _cacheService.GetAsync<List<Issue>>(cacheKey); | ||
|
|
||
| if (issues is null) | ||
| { | ||
| issues = await _repository.GetAllAsync(); | ||
| await _cacheService.SetAsync(cacheKey, issues, TimeSpan.FromMinutes(5)); | ||
| } | ||
|
|
||
| return issues; | ||
| } | ||
| ``` | ||
|
|
||
| **Pros**: Balanced performance and consistency | ||
|
|
||
| **Cons**: Requires careful key management | ||
|
|
||
| #### Pattern 4: Event-Driven Invalidation | ||
|
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| Publish events when data changes; subscribe to invalidate caches. | ||
|
|
||
| ```csharp | ||
| // When an issue is updated | ||
| public class IssueUpdatedEvent | ||
| { | ||
| public string IssueId { get; set; } | ||
| } | ||
|
|
||
| // Subscriber | ||
| public class CacheInvalidationHandler : INotificationHandler<IssueUpdatedEvent> | ||
| { | ||
| private readonly ICacheService _cache; | ||
|
|
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| public async Task Handle(IssueUpdatedEvent notification, CancellationToken ct) | ||
| { | ||
| await _cache.RemoveAsync($"issue:{notification.IssueId}"); | ||
| await _cache.RemoveAsync("issues:all"); | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| **Pros**: Decoupled, scales well with many cache keys | ||
|
|
||
| **Cons**: Requires event infrastructure (MediatR, etc.) | ||
|
|
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| ### When NOT to Cache | ||
|
|
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| **Security Data**: | ||
|
|
||
| - Passwords, API keys, tokens (store in session only) | ||
|
|
||
| **Frequently-Changing Data**: | ||
|
|
||
| - Real-time metrics, stock prices, user counts | ||
|
|
||
| **Large Objects**: | ||
|
|
||
| - Videos, files (use CDN or object storage instead) | ||
|
|
||
| **User-Specific Data**: | ||
|
|
||
| - Sensitive information that must not leak between users (be careful with key scoping) | ||
|
|
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| **Data with Strict Consistency Requirements**: | ||
|
|
||
| - Financial transactions, critical operations | ||
|
|
||
| ### Monitoring Cache Performance | ||
|
|
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| Monitor cache hit/miss rates to optimize TTLs: | ||
|
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| ```csharp | ||
| logger.LogInformation( | ||
| "Cache operation: {CacheKey}, Status: {Status}", | ||
| cacheKey, | ||
| hitOrMiss | ||
| ); | ||
| ``` | ||
|
|
||
| Check logs for patterns: | ||
|
|
||
| - High hit rate on Tier 1 (Query Results) = good strategy | ||
| - Low hit rate = TTL too short or keys not reused | ||
| - Stale data complaints = TTL too long | ||
|
|
||
| ### Cache Serialization | ||
|
|
||
| `ICacheService` uses `System.Text.Json` for serialization. Ensure cached objects are JSON-serializable: | ||
|
|
||
| - Use `[JsonPropertyName]` for property mapping if needed | ||
| - Avoid circular references | ||
| - Use standard .NET types (List, Dictionary, etc.) | ||
|
|
||
| **Example**: | ||
|
|
||
| ```csharp | ||
| public class Issue | ||
| { | ||
| [JsonPropertyName("id")] | ||
| public string Id { get; set; } | ||
|
|
||
| [JsonPropertyName("title")] | ||
| public string Title { get; set; } | ||
| } | ||
|
|
||
| // This will cache/deserialize correctly | ||
| await _cache.SetAsync("issue:1", issue, TimeSpan.FromMinutes(5)); | ||
| ``` | ||
|
|
||
| ### Error Handling | ||
|
|
||
| `ICacheService` logs serialization errors and removes corrupted entries: | ||
|
|
||
| ```csharp | ||
| try | ||
| { | ||
| var result = await _cache.GetAsync<Issue>(key); | ||
| } | ||
| catch (JsonException ex) | ||
| { | ||
| logger.LogWarning(ex, "Failed to deserialize cached value"); | ||
| // Entry is automatically removed; next request fetches fresh data | ||
| } | ||
| ``` | ||
|
|
||
| Your code does not need explicit error handling for cache operations. |
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This documentation file uses H4 (####) heading levels. According to the project's markdown standards (guideline 1000002), content should be restructured to use only H2 and H3 headings. Consider promoting some sections or reorganizing the hierarchy to eliminate these deeper heading levels.
| ## Running Aspire Locally - Quick Start | ||
|
|
||
| ### Prerequisites | ||
|
|
||
| Before running Issue Tracker locally, ensure you have: | ||
|
|
||
| - **.NET 10 SDK** (check with `dotnet --version`, minimum: 10.0.100) | ||
| - **Docker Desktop** (required for container provisioning) | ||
| - **Git** (for cloning the repository) | ||
| - **At least 4 GB RAM** available for Docker containers | ||
| - **Open ports**: 5000, 5001, 6379, 27017, 18888 | ||
|
|
||
| ### Step 1: Clone the Repository | ||
|
|
||
| ```bash | ||
| git clone https://github.com/mpaulosky/IssueTracker.git | ||
| cd IssueTracker | ||
| ``` | ||
|
|
||
| ### Step 2: Verify Prerequisites | ||
|
|
||
| ```bash | ||
| # Check .NET version | ||
| dotnet --version | ||
| # Should output: 10.0.x | ||
|
|
||
| # Check Docker is running | ||
| docker ps | ||
| # Should succeed without error | ||
| ``` | ||
|
|
||
| If Docker fails, start Docker Desktop and retry. | ||
|
|
||
| ### Step 3: Restore Dependencies | ||
|
|
||
| ```bash | ||
| dotnet restore | ||
| ``` | ||
|
|
||
| This downloads all NuGet packages specified in `Directory.Packages.props`. | ||
|
|
||
| **Expected output**: | ||
|
|
||
| ``` | ||
| Determining projects to restore... | ||
| Restore completed in 1.23 sec for E:\github\IssueTracker\IssueTracker.slnx | ||
| ``` | ||
|
|
||
| ### Step 4: Start AppHost | ||
|
|
||
| ```bash | ||
| dotnet run --project src/AppHost/AppHost.csproj | ||
| ``` | ||
|
|
||
| **Expected output**: | ||
|
|
||
| ``` | ||
| Aspire.Hosting[0] | ||
| Running on: http://localhost:18888 | ||
| ``` | ||
|
|
||
| This command starts: | ||
|
|
||
| 1. **Aspire Orchestrator** - Manages services and containers | ||
| 2. **MongoDB Container** - Document database (port 27017) | ||
| 3. **Redis Container** - In-memory cache (port 6379) | ||
| 4. **Blazor UI** - Web application (ports 5000/5001) | ||
|
|
||
| Do **not** close this terminal window while developing. | ||
|
|
||
| ### Step 5: Verify Services Are Running | ||
|
|
||
| #### Option A: Using Aspire Dashboard | ||
|
|
||
| Open your browser and navigate to: `http://localhost:18888` | ||
|
|
||
| **Dashboard shows**: | ||
|
|
||
| - All running services (MongoDB, Redis, UI) | ||
| - Health status: `Healthy`, `Degraded`, or `Unhealthy` | ||
| - Log streams from each service | ||
| - OpenTelemetry traces | ||
| - Resource usage | ||
|
|
||
| **Expected services**: | ||
|
|
||
| - `mongodb` - Status: Healthy (or Degraded/Unhealthy if not ready) | ||
| - `redis` - Status: Healthy (or Degraded/Unhealthy if not ready) | ||
| - `ui` - Status: Healthy (UI service running) | ||
|
|
||
| #### Option B: Using Command Line | ||
|
|
||
| ```bash | ||
| # Check containers are running | ||
| docker ps | ||
|
|
||
| # Should show: | ||
| # - issuetracker-mongodb or my-mongodb | ||
| # - issuetracker-redis or redis | ||
| # - issuetracker-ui or ui | ||
| ``` | ||
|
|
||
| #### Option C: Check Health Endpoint | ||
|
|
||
| ```bash | ||
| # Using curl | ||
| curl http://localhost:5000/health | ||
|
|
||
| # Using PowerShell | ||
| Invoke-WebRequest http://localhost:5000/health | ConvertFrom-Json | ConvertTo-Json -Depth 5 | ||
| ``` | ||
|
|
||
| **Expected response**: | ||
|
|
||
| ```json | ||
| { | ||
| "status": "Healthy", | ||
| "checks": { | ||
| "mongodb": { | ||
| "status": "Healthy", | ||
| "description": "MongoDB connection is responsive" | ||
| }, | ||
| "redis": { | ||
| "status": "Healthy", | ||
| "description": "Redis connection is responsive" | ||
| } | ||
| } | ||
| } | ||
| ``` | ||
|
|
||
| ### Step 6: Access the Application | ||
|
|
||
| #### Web Application | ||
|
|
||
| - **HTTP**: `http://localhost:5000` | ||
| - **HTTPS**: `https://localhost:5001` | ||
|
|
||
| Both URLs serve the Blazor UI. Accept any SSL warnings in your browser (development certificate). | ||
|
|
||
| #### Aspire Dashboard | ||
|
|
||
| - **URL**: `http://localhost:18888` | ||
| - **Features**: Real-time logs, traces, metrics for all services | ||
|
|
||
| ### Services Reference | ||
|
|
||
| | Service | Port | URL | Purpose | | ||
| |---------|------|-----|---------| | ||
| | Blazor UI | 5000/5001 | `http://localhost:5000` | Issue Tracker web app | | ||
| | MongoDB | 27017 | `mongodb://localhost:27017` | Document database | | ||
| | Redis | 6379 | `redis://localhost:6379` | Distributed cache | | ||
| | Aspire Dashboard | 18888 | `http://localhost:18888` | Monitoring & diagnostics | | ||
|
|
||
| ### Accessing Services During Development | ||
|
|
||
| #### MongoDB Connection | ||
|
|
||
| From within the Blazor application, MongoDB is accessed via the connection string configured in | ||
| AppHost: | ||
|
|
||
| ```csharp | ||
| var mongodb = builder.AddMongoDB("mongodb"); | ||
| ``` | ||
|
|
||
| The UI service automatically receives the connection string from Aspire: | ||
|
|
||
| ```csharp | ||
| var ui = builder | ||
| .AddProject<Projects.IssueTracker_UI>("ui") | ||
| .WithReference(mongodb); | ||
| ``` | ||
|
|
||
| **Manual Connection** (for debugging): | ||
|
|
||
| ```bash | ||
| # Using mongosh (MongoDB shell) | ||
| mongosh --host localhost --port 27017 -u course -p whatever | ||
|
|
||
| # Or from MongoDB Compass: mongodb://course:whatever@localhost:27017 | ||
| ``` | ||
|
|
||
| #### Redis Connection | ||
|
|
||
| Redis is similarly injected into the UI service: | ||
|
|
||
| ```csharp | ||
| var redis = builder.AddRedis("redis"); | ||
| ``` | ||
|
|
||
| **Manual Connection** (for debugging): | ||
|
|
||
| ```bash | ||
| # Using redis-cli | ||
| redis-cli -h localhost -p 6379 | ||
|
|
||
| # Test connection | ||
| redis-cli -h localhost -p 6379 PING | ||
| # Should return: PONG | ||
| ``` | ||
|
|
||
| ### Stopping Services | ||
|
|
||
| #### Graceful Shutdown | ||
|
|
||
| Press `Ctrl+C` in the terminal running AppHost: | ||
|
|
||
| ``` | ||
| ^C | ||
| Hosting stopped | ||
| ``` | ||
|
|
||
| This cleanly shuts down: | ||
|
|
||
| 1. Blazor UI | ||
| 2. Redis container | ||
| 3. MongoDB container | ||
| 4. Aspire orchestrator | ||
|
|
||
| All data is persisted to Docker volumes and restored on next startup. | ||
|
|
||
| #### Force Shutdown | ||
|
|
||
| If Ctrl+C does not work: | ||
|
|
||
| ```bash | ||
| # PowerShell: Find and stop the AppHost process | ||
| Get-Process -Name "dotnet" | Where-Object {$_.CommandLine -like "*AppHost*"} | Stop-Process -Force | ||
|
|
||
| # Or manually stop Docker containers | ||
| docker stop $(docker ps -q) | ||
| ``` | ||
|
|
||
| ### Clearing Data for Fresh Start | ||
|
|
||
| To reset all development data and start clean: | ||
|
|
||
| #### Option 1: Just Clear Data Volumes | ||
|
|
||
| ```bash | ||
| # Identify Docker volumes | ||
| docker volume ls | grep issuetracker | ||
|
|
||
| # Remove specific volumes | ||
| docker volume rm issuetracker-mongodb_data issuetracker-redis_data | ||
|
|
||
| # Restart AppHost (will recreate empty volumes) | ||
| dotnet run --project src/AppHost/AppHost.csproj | ||
| ``` | ||
|
|
||
| #### Option 2: Complete Docker Reset | ||
|
|
||
| ```bash | ||
| # Stop all containers | ||
| docker stop $(docker ps -q) | ||
|
|
||
| # Remove all Issue Tracker containers | ||
| docker ps -a | grep issuetracker | awk '{print $1}' | xargs docker rm | ||
|
|
||
| # Remove all volumes | ||
| docker volume rm $(docker volume ls | grep issuetracker | awk '{print $2}') | ||
|
|
||
| # Restart AppHost | ||
| dotnet run --project src/AppHost/AppHost.csproj | ||
| ``` | ||
|
|
||
| **Warning**: This removes all development data. Use only for testing. | ||
|
|
||
| ### Common Issues | ||
|
|
||
| #### Issue: "Aspire dashboard not accessible (Connection refused)" | ||
|
|
||
| **Symptoms**: Cannot reach `http://localhost:18888` | ||
|
|
||
| **Solutions**: | ||
|
|
||
| 1. Check AppHost is still running (terminal should show active process) | ||
| 2. Verify port 18888 is not blocked by firewall | ||
| 3. Restart AppHost | ||
|
|
||
| #### Issue: "MongoDB connection timeout" | ||
|
|
||
| **Symptoms**: Health check shows MongoDB unhealthy | ||
|
|
||
| **Solutions**: | ||
|
|
||
| ```bash | ||
| # Check MongoDB container logs | ||
| docker logs <mongodb-container-id> --tail 20 | ||
|
|
||
| # Restart MongoDB | ||
| docker restart <mongodb-container-id> | ||
|
|
||
| # Or restart AppHost | ||
| dotnet run --project src/AppHost/AppHost.csproj | ||
| ``` | ||
|
|
||
| #### Issue: "Redis connection refused" | ||
|
|
||
| **Symptoms**: Cache operations fail, `/health` shows Redis unhealthy | ||
|
|
||
| **Solutions**: | ||
|
|
||
| ```bash | ||
| # Verify Redis is running | ||
| docker ps | grep redis | ||
|
|
||
| # Check Redis logs | ||
| docker logs <redis-container-id> | ||
|
|
||
| # Test Redis manually | ||
| redis-cli -h localhost -p 6379 PING | ||
|
|
||
| # Restart Redis | ||
| docker restart <redis-container-id> | ||
| ``` | ||
|
|
||
| #### Issue: "Port 5000 already in use" | ||
|
|
||
| **Symptoms**: AppHost fails to start, error: `Address already in use` | ||
|
|
||
| **Solutions**: | ||
|
|
||
| ```bash | ||
| # Find process using port 5000 (PowerShell) | ||
| Get-NetTCPConnection -LocalPort 5000 -ErrorAction SilentlyContinue | Select-Object OwningProcess | ||
| tasklist /FI "PID eq <PID>" | ||
|
|
||
| # Kill the process (replace PID) | ||
| Stop-Process -Id <PID> -Force | ||
|
|
||
| # Or find and stop on port 6379 or 27017 if those are conflicting | ||
| ``` | ||
|
|
||
| ### Performance Tips | ||
|
|
||
| 1. **Allocate sufficient Docker resources** (Settings → Resources: 4 GB RAM, 2 CPUs minimum) | ||
| 2. **Use HTTPS for production testing** (`https://localhost:5001`) | ||
| 3. **Monitor Aspire dashboard** for slow services | ||
| 4. **Check health endpoint** if services feel unresponsive | ||
| 5. **Clear volumes periodically** to prevent disk clutter | ||
|
|
||
| ### Next Steps | ||
|
|
||
| After AppHost is running: | ||
|
|
||
| - Read [Cache-Strategy.md](Cache-Strategy.md) to understand caching | ||
| - Review [Health-Checks.md](Health-Checks.md) for monitoring | ||
| - Check [Aspire.md](Aspire.md) for architecture details | ||
| - See [Production-Readiness.md](Production-Readiness.md) for deployment guidance |
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This documentation file uses H4 (####) heading levels. According to the project's markdown standards (guideline 1000002), content should be restructured to use only H2 and H3 headings. Consider promoting some sections or reorganizing the hierarchy to eliminate these deeper heading levels.
Fix: Redis Health Check Integration Test Failure (Issue #84)
Nebula investigated and resolved test failures caused by Redis being unconditionally required in ServiceDefaults while integration tests don't have Redis available.
Problem
ServiceDefaults unconditionally registered RedisHealthCheck, which required IConnectionMultiplexer from StackExchange.Redis. Integration tests only spin up MongoDB via TestContainers — no Redis available. The health endpoint returned HTTP 500/503 when trying to resolve the missing dependency.
Solution
Made Redis registration optional in ServiceDefaults/Extensions.cs:
Key Learning
WebApplicationFactory configuration timing matters. In-memory config from ConfigureAppConfiguration runs AFTER Program.cs initialization, so it can't affect services registered during startup. Environment variables work because they're available during host builder construction.
Test Results
✅ All 418 tests passing
Closes
Closes #84
Branch: squad/aspire-redis-cache → main
Co-authored-by: Nebula (Tester)