diff --git a/docs/ops.html b/docs/ops.html
index 765c198e614d2..931d2b286fb9d 100644
--- a/docs/ops.html
+++ b/docs/ops.html
@@ -680,16 +680,20 @@
- From a security perspective, we recommend you use the latest released version of JDK 1.8 as older freely available versions have disclosed security vulnerabilities.
+ Java 8 and Java 11 are supported. Java 11 performs significantly better if TLS is enabled, so it is highly recommended (it also includes a number of other
+ performance improvements: G1GC, CRC32C, Compact Strings, Thread-Local Handshakes and more).
+
+ From a security perspective, we recommend the latest released patch version as older freely available versions have disclosed security vulnerabilities.
- At the time this is written, LinkedIn is running JDK 1.8 u5 (looking to upgrade to a newer version) with the G1 collector. LinkedIn's tuning looks like this:
+ Typical arguments for running Kafka with OpenJDK-based Java implementations (including Oracle JDK) are:
+
-Xmx6g -Xms6g -XX:MetaspaceSize=96m -XX:+UseG1GC
-XX:MaxGCPauseMillis=20 -XX:InitiatingHeapOccupancyPercent=35 -XX:G1HeapRegionSize=16M
- -XX:MinMetaspaceFreeRatio=50 -XX:MaxMetaspaceFreeRatio=80
+ -XX:MinMetaspaceFreeRatio=50 -XX:MaxMetaspaceFreeRatio=80 -XX:+ExplicitGCInvokesConcurrent
- For reference, here are the stats on one of LinkedIn's busiest clusters (at peak):
+ For reference, here are the stats for one of LinkedIn's busiest clusters (at peak) that uses said Java arguments:
- 60 brokers
- 50k partitions (replication factor 2)
@@ -697,7 +701,7 @@
- 300 MB/sec inbound, 1 GB/sec+ outbound
- The tuning looks fairly aggressive, but all of the brokers in that cluster have a 90% GC pause time of about 21ms, and they're doing less than 1 young GC per second.
+ All of the brokers in that cluster have a 90% GC pause time of about 21ms with less than 1 young GC per second.
We are using dual quad-core Intel Xeon machines with 24GB of memory.