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Western Digital HDD Simulation at Cloud Scale – 2.5 Million HPC Tasks, 40K EC2 Spot Instances

AI year in review

At Facebook, we think that artificial intelligence that learns in new, more efficient ways – much like humans do – can play an important role in bringing people together. That core belief helps drive our AI strategy, focusing our investments in long-term research related to systems that learn using real-world data, inspiring our engineers to share cutting-edge tools and platforms with the wider AI community, and ultimately demonstrating new ways to use the technology to benefit the world. In 2018, we made important progress in all these areas.

Rate Limiting at the Edge

I’m sure many of you have heard of the “Death Star Security” model—the hardening of the perimeter, without much attention paid to the inner core—and while this is generally considered bad form in the current cloud native landscape, there is still many things that do need to be implemented at edge in order to provide both operational and business logic support. One of these things is rate limiting. Modern applications and APIs can experience a burst of traffic over a short time period, for both good and bad reasons, but this needs to be managed well if your business model relies upon the successful completion of requests by paying customers.

POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions

Combining Federation V2 and Istio Multicluster

In a previous post, we saw how to leverage Istio Multicluster to deploy an application (bookinfo) on multiple Red Hat OpenShift clusters and apply mesh policies on all of the deployed services. We also saw that the deployment process was relatively complex. In this post we are going to see how Federation V2 can help simplify the process of deploying an application to multiple clusters.

Write operators for databases in Kubernetes with KubeDB

Running production quality databases in Kubernetes can be quite a hassle. But KubeDB promises to solve all your problems. Let’s have a quick look at this framework.

Kubernetes Failure Stories

I started to compile a list of public failure/horror stories related to Kubernetes. It should make it easier for people tasked with operations to find outage reports to learn from. Since we started with Kubernetes at Zalando in 2016, we collected many internal postmortems.

Lasers vs. Microwaves: The Billion-Dollar Bet on the Future of Magnetic Storage

Deployment strategies for the Jaeger Agent

If you’ve been following the evolution of the Kubernetes templates for Jaeger, you might have noticed an important change recently: the Jaeger Agent is not being deployed as a DaemonSet anymore. Instead, instructions are now being provided on how to deploy it as a “Sidecar”. The Agent component was developed to act as a “buffer” between the tracer and the collector.

A Crash Course For Running Istio

At Namely we’ve been running with Istio for a year now. Yes, that’s pretty much when it first came out. We had a major performance regression with a Kubernetes cluster, we wanted distributed tracing, and used Istio to bootstrap Jaeger to investigate.