Latest news

NEW: MARCH NEWSLETTER

• We list all the latest Java performance related news and articles
  • "You can easily add a memory leak regression test to your continuous integration pipeline"
• All the latest Java performance tips extracted in concise form
  • "Push different types of requests onto different queues so that long processing requests don't delay quick or high priority requests" and "Check the memory eviction policy of your cache. It needs one. One good rule of thumb is if the object is not touched for 5 minutes, it probably won't be"

FEBRUARY NEWSLETTER

• We list all the latest Java performance related news and articles
  • "All the new Java 12 performance features, what they are and how to use them"
• All the latest Java performance tips extracted in concise form
  • "Memory leaks have many reasons, some less common are: faulty clone methods; duplicate singletons; cache logic bugs"

JANUARY NEWSLETTER

• We list all the latest Java performance related news and articles
  • "There were a few tips that were really good but didn't make into the top 8 for 2018 - this month I cover those 'runner up' tips"
• All the latest Java performance tips extracted in concise form
  • "Having a bottleneck is not a problem, because there is always a bottleneck (otherwise it takes no time at all). Failing to achieve targets is the problem - which means you need targets to know if you have a problem"

DECEMBER NEWSLETTER

• We list all the latest Java performance related news and articles
  • "I continue to highlight the very best of the over 300 tips I've extracted this year. The top tip this month: On modern systems O(N) analysis is insufficient, as memory transfer often dominates algorithm complexity analysis; the next tip ..."
• All the latest Java performance tips extracted in concise form
  • "For ultra-low latency: you can't have any GCs; use shared memory; apply single-threaded processing logic (no synchronization) with the thread pinned to the core and all other threads excluded from that core; use simple object pooling (single-threaded); scale by partitioning data across non-shared threads/processes/microservices; spin when waiting for data to keep hold of the CPU and keep it hot; record everything so that you can replay in test to analyse outliers; don't cross NUMA regions, each process/microservice should run on one core; use wait-free data structures (no waits and guaranteed that the thread can always proceed and will finish within a set number of cycles); run replicated hot-hot for high availability"

NOVEMBER NEWSLETTER

• We list all the latest Java performance related news and articles
  • "I'll highlight the very best of the over 300 tips I've extracted this year. The top tip of the year was on development techniques that apply to different latency targets ..."
• All the latest Java performance tips extracted in concise form
  • "Low location affinity of data is a latency problem. Data that will be used together but are located on different nodes will need to have the data combined to be used and that will cause additional latency. You can't get scale out, low affinity and low latency all at the same time; scaling out will limit affinity, impacting latency."

OCTOBER NEWSLETTER

• We list all the latest Java performance related news and articles
  • "Java provides top quality development environments and tools, extensive libraries, a huge and dedicated expert community, a large pool of reasonable priced developers, fabulous performance, massive scalability, excellent multi-core support, and the JVM provides unmatched observability and high reliability. The combination is easily the most reasonable cost maintainable option for you"
• All the latest Java performance tips extracted in concise form
  • "Pick the right executor: a fixed size thread pool (sized to the available cores) is appropriate for computationally expensive tasks; a variable sized pool is appropriate for tasks that are short or block a lot; a ForkJoinPool is appropriate for computationally expensive tasks that can be decomposed into subtasks"

SEPTEMBER NEWSLETTER

• We list all the latest Java performance related news and articles
  • "you can now directly measure the cost benefit of a performance change - the performance engineer is now a cost-saving profit centre"
• All the latest Java performance tips extracted in concise form
  • "If the timed out CompletableFuture task or pipeline blocks a thread (eg fails to cancel or the pipeline after timeout takes time), subsequent tasks could be delayed or even blocked - at the very least use async pipelining for the subsequent stages"

AUGUST NEWSLETTER

• We list all the latest Java performance related news and articles
  • "the most important performance item in Java 11 is one that is not listed in the new features: The CMS GC is still there! This will come as a huge sigh of relief for many many companies who were not yet seeing adequate enough performance from G1"
• All the latest Java performance tips extracted in concise form
  • "jcmd supports JFR: jcmd PID JFR.start name=MyRecording settings=profile delay=20s duration=2m filename=myrecording.jfr; jcmd PID JFR.check; jcmd PID JFR.dump name=MyRecording filename=dump.jfr"

JULY NEWSLETTER

• We list all the latest Java performance related news and articles
  • "I wholeheartedly support renaming 'non-functional requirements' to 'quality attributes'"
• All the latest Java performance tips extracted in concise form
  • "Response time ranges challenges: seconds - easily achievable (small methods, minimize branching, use cohesion, abstract cleanly); hundreds of milliseconds - needs general performance tactics to achieve (as previous plus: optimized data structures, algorithm complexity minimized, use batching and caching); tens of milliseconds (low latency) - needs specific performance tactics to achieve (as previous plus: memory access patterns optimized for CPU caches, lock free algorithms, asynchronous processing, stateless, RamFS/TmpFS, GC and object lifecycle tuning); under 1 millisecond (ultra-low latency) - very specific techniques needed (as previous plus: thread affinity, NUMA, Large pages, avoid false sharing, data-oriented design, disable c-states, ensure CPU cache friendly operations)."

JUNE NEWSLETTER

• We list all the latest Java performance related news and articles
  • "Stateful scaling is much much harder than stateless scaling. Making your application stateless is hitting the scaling jackpot, it becomes just running multiple instances and routing requests. Stateful scaling involves distributed transactions, syncing caches, data routing, ... and much more"
• All the latest Java performance tips extracted in concise form
  • "O(N) time complexity analyses tend to assume that: you can ignore constant factors; instructions have the same duration; memory doesn't matter; and instruction execution dominates performance. But on modern systems memory DOES matter and memory access can easily dominate over instruction execution. The processor can execute 300 instructions in the time it takes for data to be retrieved from main memory (RAM)."

MAY NEWSLETTER

• We list all the latest Java performance related news and articles
  • " I put together a Java code puzzler that might challenge you"
• All the latest Java performance tips extracted in concise form
  • "The limit for sorting speed on modern systems is not the comparison computations, it's the data movement; so the old established sorting algorithms are no longer the best. Sorting is fastest by getting the data to the parallel cores faster. mergesort is a good parallel sort with a min-heap data structure. You size the heaps to fit into the CPU cache."

APRIL NEWSLETTER

• We list all the latest Java performance related news and articles
  • "You need monitoring or you are blind to what is happening in your system. But monitoring only gets you the data, you need to use that data with analyses/thresholds/alerts/consoles/profiles to get full observability"
• All the latest Java performance tips extracted in concise form
  • "For load distribution (by a coordinator), choosing the least busy server optimizes performance. But choosing the least busy server has a (coordination) cost, and this is limited by the Universal scalability law. At low parallelism coordination makes latency more predictable, but at high parallelism coordination degrades throughput. A compromise strategy is for the coordinator to choose 2 servers at random and then pick the least busy of the two"

MARCH NEWSLETTER

• We list all the latest Java performance related news and articles
  • "We're likely to see cloud infrastructure that hosts containers directly without the underlying VM, giving an extra efficiency to running in a container if you're cloud based - because the container has lower overhead than a cloud virtual machine, so you'll benefit with no real cost!"
• All the latest Java performance tips extracted in concise form
  • "A docker image with the full JDK is around 0.5GB. With JDK9+ you can create custom JREs with just the subset of the JDK you need (jdeps tool helps identify which modules an application uses). A minimal JRE containing only the java.base module, eg ' jlink --module-path /docker-java-home/jmods --strip-debug --compress=2 --output java --add-modules java.base' with alpine linux and the musl-libc library in the image results in an image of less than 50MB in size (an order of magnitude smaller). (This is maintained in project Portola)"

Previous newsletters

All our previous newsletters can be viewed from here

How to use this site

This site has four main information resources:

• The uncategorized tips page lists many other web pages with Java performance tuning related information. Each web page has its performance tuning tips extracted and listed immediately after the URL is listed. These tips are being categorized, and the tips page links to those categories currently available. If the performance area you are interested in is not yet categorized, send us an email from this page telling us the categorization you'd like to see. In any of the tips pages, use your browser's "find" or "search" option to identify particular tips you are interested in on the page, and follow up by reading the referenced web page if necessary or desired.
• The resources page lists Java performance tuning resources including books, tools, reports, other performance tuning sites of interest, and Java performance tuning discussion groups.
• The news pages are monthly newsletters listing any new Java performance tuning related information, together with Kirk Pepperdine's discussion group roundup and Javva The Hutt.
• The tool reports pages are detailed introductory reports on various Java performance related tools, for both free and commercial tools.

This site has been designed to download almost as fast as possible. (Some stylistic markup and required server-side processing has been used in preference to absolute speed contraints.) The web tree contains very few graphics and almost no complex typesetting markup except for very simple tables, and the main pages can be accessed directly from the menu.

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