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Building storage-first serverless applications with HTTP APIs service integrations
Over the last year, I have been talking about “storage first” serverless patterns. With these patterns, data is stored persistently before any business logic is applied. The advantage of this pattern is increased application resiliency.
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Scaling services with Shard Manager
We look at how Shard Manager is fully integrated in Facebook’s infrastructure ecosystem and provides a holistic, end-to-end solution supporting basic shard failover as well as sophisticated load balancing, shard scaling, and operational safety. Over the years, as we’ve expanded in scale and functionalities, Facebook has evolved from a basic web server architecture into a complex one with thousands of services working behind the scenes. It’s no trivial task to scale the wide range of back-end services needed for Facebook’s products.
Read More3 Years of Kubernetes in Production–Here’s What We Learned
We started out building our first Kubernetes cluster in 2017, version 1.9.4. We had two clusters, one that ran on bare-metal RHEL VMs, and another that ran on AWS EC2. Today, our Kubernetes infrastructure fleet consists of over 400 virtual machines spread across multiple data-centres.
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Designing Edge Gateway, Uber’s API Lifecycle Management Platform
In October 2014, Uber had started its journey of scale in what would eventually turn out to be one of the most impressive growth phases in the company. Over time we were scaling our engineering teams non-linearly each month and acquiring millions of users across the world. In this article, we will go through the different phases of the evolution of Uber’s API gateway that powers Uber products.
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VALORANT’s 128-Tick Servers
To provide a short summary – in VALORANT, a key part of the gameplay is taking strategic positions and holding them. Holding positions can become impossible if other players can run around a corner and kill the defender before the defender can react due to latency. That latency is partly based on the network and partly based on the server tick rate.
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How we upgraded PostgreSQL at GitLab.com
We explain the precise maintenance process to execute a major version upgrade of PostgreSQL. The biggest challenge was to do a complete fleet major upgrade through an orchestrated pg_upgrade. We needed to have a rollback plan to optimize our capacity right after Recovery Time Objective (RTO) while maintaining a 12-node clusterâs 6TB-data consistent serving 300.000 aggregated transactions per second from around six million users.
Read MoreThree Basecamp outages. One week. What happened?
Basecamp has suffered through three serious outages in the last week, on Friday, August 28th, on Tuesday, September 1, and again today. It’s embarrassing, and we’re deeply sorry. This is more than a blip or two.
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