News

Monitoring Kubernetes, part 1: the challenges + data sources

Our industry has long been relying on microservice-based architecture to deliver software faster and safer. The advent and ubiquity of microservices naturally paved the way for container technology, empowering us to rethink how we build and deploy our applications. Docker exploded onto the scene in 2013, and, for companies focusing on modernizing their infrastructure and cloud migration, a tool like Docker is critical to shipping applications quickly, at scale.

Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning

MySQL High Availability Framework Explained – Part II

InPart I, we introduced a High Availability (HA) framework forMySQL hostingand discussed various components and their functionality. Now in Part II, we will discuss the details of MySQL semisynchronous replication and the related configuration settings that help us ensure redundancy and consistency of the data in our HA setup. Make sure to check back in for Part III where we will review various failure scenarios that could arise and the way the framework responds and recovers from these conditions.

Enterprise grade CI/CD with GitOps

Implementing Continuous Delivery[1] at enterprise scale is a major challenge. As every company has to innovate their software delivery methods, we need to allow individual teams to learn and improve their own delivery pipeline. This is especially true in the Cloud Native world, where many best practices are still emerging.

Courier: Dropbox migration to gRPC

Dropbox runs hundreds of services, written in different languages, which exchange millions of requests per second. At the core of our Service Oriented Architecture is Courier, our gRPC-based Remote Procedure Call (RPC) framework. While developing Courier, we learned a lot about extending gRPC, optimizing performance for scale, and providing a bridge from our legacy RPC system.

New whitepaper: Achieving Operational Resilience in the Financial Sector and Beyond

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