Brendan Gregg

APRIL 14, 2022

eBPF tools (2014-2019). I joined Netflix in 2014, a company at the forefront of cloud computing with an attractive [work culture]. 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.

Java 145

Java Cloud Cache AWS 145

Dynatrace

OCTOBER 15, 2021

As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. This occurs once data is safely stored within a local cache. Monitoring begins here. Read eBook now!

Open Source 219

Open Source Metrics Cloud Transportation 219

Brendan Gregg

AUGUST 29, 2021

A cloud-wide monitoring tool, Atlas, showed a high rate of paging for the larger file uploads: The blue is pageins (page ins). Reads usually have apps waiting on them; writes may not (write-back caching). total used free shared buff/cache available Mem: 64414 15421 349 5 48643 48409 Swap: 0 0 0. Counting cache functions.

Cache 105

Cache C++ AWS Latency 105

Brendan Gregg

APRIL 14, 2022

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. I could help not only Netflix but all customers of the cloud.

Java 52

Java Cache Cloud AWS 52

Brendan Gregg

AUGUST 29, 2021

A cloud-wide monitoring tool, Atlas, showed a high rate of paging for the larger file uploads: The blue is pageins (page ins). Reads usually have apps waiting on them; writes may not (write-back caching). This is a 64-Gbyte memory system, and 48 Gbytes is in the page cache (the file system cache). This is "cache busting."

Cache 40

Cache C++ AWS Systems 40

HammerDB

JUNE 27, 2022

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.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

DECEMBER 17, 2019

One which: interleaves log with dump events so that both can make progress allows to trigger dumps at any time does not use table locks uses standardized database features DBLog Framework DBLog is a Java-based framework, able to capture changes in real-time and to take dumps. Proceedings of the Third ACM Symposium on Cloud Computing.

Database 197

Database Traffic Transportation Open Source 197