Remove 2019 Remove Cache Remove Java Remove Storage
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Netflix End of Series 1

Brendan Gregg

eBPF tools (2014-2019). 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. flame graphs (2014).

Java 145
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. This occurs once data is safely stored within a local cache. Monitoring begins here.

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Netflix End of Series 1

Brendan Gregg

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.

Java 52
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HammerDB for Managers

HammerDB

Given the increasing importance of open source and the widespread use of HammerDB, the TPC adopted HammerDB in 2019 and now hosts the project on GitHub. Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions.