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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

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.

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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Some cloud providers also offer specialized instances for database workloads, which may provide additional features and optimizations for performance and scalability.

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How To Measure the Working Set Size on Linux

Brendan Gregg

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.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

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.

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How To Measure the Working Set Size on Linux

Brendan Gregg

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.

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The Netflix Cosmos Platform

The Netflix TechBlog

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.

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Transforming enterprise integration with reactive streams

O'Reilly Software

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. What if we could fully embrace the concept of streaming, and redesign system integration from a reactive—asynchronous, non-blocking, scalable, and resilient perspective? Welcome to a new world of data-driven systems.