Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 129

Performance Hardware Tuning Storage 129

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving.

DevOps 220

DevOps Traffic Efficiency Servers 220

Brendan Gregg

JANUARY 17, 2018

It is used for capacity planning and scalability analysis. My tool does this using /proc/PID/clear_refs and the Referenced value from /proc/PID/smaps, which were added in 2007 by David Rientjes (thanks). Your app may have populated 100 Gbytes of main memory, but only uses 50 Mbytes each second to do its job. Consider these overheads.

Cache 71

Cache Latency C++ Programming 71

The Netflix TechBlog

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility.

Processing 229

Processing Media Latency Innovation 229

Brendan Gregg

JANUARY 16, 2018

It is used for capacity planning and scalability analysis. My tool does this using /proc/PID/clear_refs and the Referenced value from /proc/PID/smaps, which were added in 2007 by David Rientjes (thanks). Your app may have populated 100 Gbytes of main memory, but only uses 50 Mbytes each second to do its job. Consider these overheads.

Cache 40

Cache Latency C++ Programming 40

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007.

Serverless 228

Serverless Media Latency Social Media 228

O'Reilly Software

MARCH 7, 2018

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. blocking), discarding data, or none—which can lead to resilience problems, poor performance, or worse: rapid unscheduled disassembly in production. Welcome to a new world of data-driven systems.

Transportation 72

Transportation Java Programming Architecture 72