Remove 2007 Remove Cloud Remove Latency Remove Scalability
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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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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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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. have been released since then with some major changes.

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Välkommen till Stockholm – An AWS Region is coming to the Nordics

All Things Distributed

In 2007, we opened our first AWS Region in Ireland and since then have opened additional regions, in Germany and the UK, with France still to come. After the launch of the AWS EU (Stockholm) Region, there will be 13 Availability Zones in Europe for customers to build flexible, scalable, secure, and highly available applications.

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. " Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing.

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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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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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