Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes.

DevOps 209

DevOps Traffic Efficiency Servers 209

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. But also larger log files mean that the recovery process will be slower in case of a crash.

Performance 124

Performance Hardware Tuning Storage 124

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

Brendan Gregg

JANUARY 17, 2018

It is used for capacity planning and scalability analysis. For large processes (>100 Gbytes), the delays in setting and reading pagemap data can be large, so I've added the Est(s) column to better reflect the real span of the WSS measurement. ### How it works My wss.pl That's the working set size. Accounting for shared pages. -

Cache 71

Cache Latency C++ Programming 71

Brendan Gregg

JANUARY 16, 2018

It is used for capacity planning and scalability analysis. For large processes (>100 Gbytes), the delays in setting and reading pagemap data can be large, so I've added the Est(s) column to better reflect the real span of the WSS measurement. ### How it works My wss.pl That's the working set size. Accounting for shared pages. -

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. Working with never-ending streams of data necessitates continuous processing of it, ensuring the system keeps up with the load patterns it is exposed to, and always provides real-time, up-to-date information.

Transportation 72

Transportation Java Programming Architecture 72