Transactions bring exactly-once semantics (EOS) to streaming processing. They help developers avoid the anomalies of at-most-once or at-least-once processing (lost or duplicated events, respectively) and focus only on the essential logic.
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Throughput and latency might be in constant tension, but learning and liveliness certainly are not. Case in point: P99 CONF. Over the past two days, the conference took a deep dive into all things P99 with 35 fascinating sessions, nonstop discussions in the Speakers Lounge, 4 flash polls, and lots of lighthearted fun such as …
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Only a specialized subset of engineers obsess over long-tail latencies — P99, P999, or even P9999 percentiles — and are truly fascinated by things like: Programming techniques like io_uring, eBPF, and AF_XDP Tracing techniques like OSNoise tracer and Flamegraphs Application-level optimizations like priority scheduling and object compaction Distributed storage system optimizations in Ceph, Crimson, and …
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Arm-based computers are continuing to make inroads across both personal computing as well as cloud server spaces. From the Arm-based MacBooks you can use during your development stages, to the Graviton2-based instances on AWS, which we recently showed provide better price-performance than similar Intel x86-based instances. Yet Amazon is not the only cloud provider providing …
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JfrUnit is an extension to JUnit which allows you to assert JDK Flight Recorder events in your unit tests. This capability opens up a number of interesting use cases in the field of testing JVM-based applications.
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System-wide continuous profiling has a habit of turning up performance murder mysteries: The data tells you that something is off in a rather unexpected manner, and an investigation then reveals surprising insights about the deployed systems.
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I have spent almost the entire last decade in a fairly specialized product company, building high performance I/O systems. I had the opportunity to see storage technology evolve rapidly and decisively. Talking about storage and its developments felt like preaching to the choir.
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Scheduling requests of any kind always serves one purpose — gain control over priorities of those requests. In the priorities-less system one doesn’t need to schedule; just putting whatever arrives into the queue and waiting when it finishes is enough.
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Many of us have heard of Coordinated Omission (CO), but few understand what it means, how to mitigate the problem, and why anyone should bother. Or, perhaps, this is the first time you have heard of the term. So let’s begin with a definition of what it is and why you should be concerned about it in your benchmarking.
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