Introduction In 2013, when LinkedIn moved to multiple data centers across the globe, we needed a way to redirect traffic from one data center to another in order to mitigate potential member impact in the event of a disturbance to our services. This need led to the birth of one of the most important pieces of engineering at LinkedIn, called TrafficShift. It...
Automation Articles
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- Topics:
- data center,
- Automation,
- SRE
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Co-authors: Susie Xia and Anant Rao LinkedIn serves more than 467 million members on a global computing infrastructure through hundreds of internal services. During processes such as new feature releases, capacity planning for traffic growth, and data center failover analysis, the following questions are raised frequently: “What is the maximum QPS (queries per...
- Topics:
- Performance,
- Resilience,
- Testing,
- Automation
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LinkedIn’s data center infrastructure has grown at a massive scale. Starting with one server setup, one cabinet at a time, we’re now powering on hundreds of servers at a time and seeing them come online automatically. You could call it “Zero Touch Provisioning” for systems. This evolution presented us with many challenges, however. This post will describe how...
- Topics:
- data center,
- Automation
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Around the end of 2012, LinkedIn decided to move away from retail data centers to wholesale ones that are built and maintained by...
- Topics:
- Python,
- Automation,
- SRE
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LinkedIn’s API is the gateway used by numerous applications to access LinkedIn data, from simple third-party apps to large-scale...
- Topics:
- tools,
- Automation,
- SRE
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In ensuring site availability as you scale, you automate or you die. Making sure LinkedIn works properly for 364 million members...
- Topics:
- infrastructure,
- Automation,
- SRE