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since 2017, and many customers have used it with great success while we collected requirements for the next iteration of our Lambda extension. This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. Special challenges when monitoring Lambda functions.
Watchman: monitoring dependency conflicts for Python library ecosystem Wang et al., In comparison, this ratio is only 0.03% for Java projects managed by Maven following the same investigation method. looked at dependency conflicts in Java projects and built a tool called Riddle to help expose and understand them. Wang et al.
Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. By 2017, open source projects like Open-Tracing and Open-Zipkin were mature enough for use in polyglot runtime environments at Netflix.
PMC analysis (2017). On the Netflix Java/Linux/EC2 stack there were no working mixed-mode flame graphs, no production safe dynamic tracer, and no PMCs: All tools I used extensively for advanced performance analysis. Netflix has been the best job of my career so far, and I'll miss my colleagues and the culture. offer letter logo (2014).
Getting frame pointer support in Java was another project I did a while ago. The reactive work can be for any performance problem that shows up, involving runtimes (Java, Node.js), Linux (and sometimes FreeBSD), or hypervisors (Xen, containers). Java core dump analysis for a crashing JVM. - It's a good balance.
I summarized this case study at [Kernel Recipes] in 2017 and have shared the full story here. ## 1. Monitoring I started with the cloud-wide monitoring tool, [Atlas], to check high-level CPU metrics. Note that this sample flame graph is dominated by Java, shown by the green frames. ## 4.
Written by Jose Fernandez , Arthur Gonigberg , Julia Knecht , and Patrick Thomas In 2017, Netflix Studios was hitting an inflection point from a period of merely rapid growth to the sort of explosive growth that throws “how do we scale?” into every conversation.
offer letter logo (2014) flame graphs (2014) eBPF tools (2014-2019) PMC analysis (2017) my pandemic-abandoned desk (2020); office wall I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive work culture. Netflix has been the best job of my career so far, and I'll miss my colleagues and the culture.
This blog post was originally published in November 2017 and was updated in June 2023. MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. 3 GA 23 May 2017 10.2.6
I summarized this case study at Kernel Recipes in 2017; it is an old story that's worth resharing here. Monitoring I started with the cloud-wide monitoring tool, Atlas , to check high-level CPU metrics. A microservice team asked me for help with a mysterious issue. I should also be able to identify the real CPU consumer.
I summarized this case study at [Kernel Recipes] in 2017; it is an old story that's worth resharing here. ## 1. Monitoring I started with the cloud-wide monitoring tool, [Atlas], to check high-level CPU metrics. A microservice team asked me for help with a mysterious issue.
Transaction Monitor/Manager – Coordinator. The Java application starts an XA transaction with the XA enabled TM. This means there are no DTC components available for SQL Server 2017 on Linux. Distributed Transaction Coordination – Generic term. Microsoft specific implementation for DTC using (OLE-TX). Microsoft MSDTC protocol.
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