View all

This article was originally posted on the Kelda.io blog by CEO and Founder, Ethan J. Jackson. Kelda is Docker compose for Kubernetes. It allows you to quickly test your code changes in a remote environment that matches production, without the complexity of interacting with Kubernetes directly. I recently had the pleasure of speaking about Kelda at ESCAPE/19 - the multi-cloud conference, in New York City. It was a fantastic event packed full of sharp folks with interesting perspectives. The talk, How Microservices Enable Multi-Cloud at the Expense of Developers, describes how microservices and CI/CD led to the development of Kubernetes which itself promises to make multi-cloud viable for the first time. However, these advantages are not without costs, particularly for developer productivity. The talk is summarized below.

An often overlooked privilege of building database technology is the opportunity to team up with companies that are making a positive impact in the world. For Cockroach Labs, EF (Education First) is one of those companies. Since 1965, Education First has offered a range of educational programs including study abroad, student exchange, educational travel courses and language classes; all in an effort to "open the world through education." Currently, Education First has 612 offices and schools in over 50 different countries. In 2019 it launched a digital learning platform to remove the distance between teachers and students in different countries. The services that Education First provides help to grow the work and travel possibilities for people of all ages from all countries.

Dan Kelly

December 17, 2019

Since 2017, Cockroach Labs has run thousands of benchmark tests across dozens of machine types with the goal of better understanding performance across cloud providers. If there’s one thing we’ve learned in our experiments, it’s this: benchmarking the clouds is a continuous process. Since results fluctuate as the clouds adopt new hardware, it’s important to regularly re-evaluate your configuration (and cloud vendor).

Andy Woods

December 11, 2019

This year, as every year, Black Friday and Cyber Monday stressed e-commerce systems to their breaking points. Major companies like H&M, Nordstrom Rack, and other retailers experienced the kinds of costly outages that keep SREs up at night. Multi-cloud infrastructure is sometimes offered as a panacea to these kinds of outages. But multi-cloud deployments are not a band-aid. In fact, they often introduce new complexities into the system that need to be sniffed out. But sniffing out bugs in multi-cloud environments is, by nature, complicated. Ana Medina, a chaos engineer from Gremlin, spoke at ESCAPE/19 about how to do it, including a detailed list of the kinds of errors to search for and checklists of questions to ask.

Dan Kelly

December 9, 2019

This article was originally posted on the personal blog of the Peewee ORM founder, Charles Leifer. Peewee is a simple and small Python ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use. And as of Peewee's most recent release (3.13.0), it supports CockroachDB!

At Cockroach Labs, we're focused on making data easy for our customers. CockroachDB is designed as a vendor-agnostic, cloud-native database for transactional workloads. We offer a number of benefits over traditional relational databases including serializable isolation, online schema changes, and high availability fault-tolerance. Today, we want to demonstrate another CockroachDB differentiator: multi-region support for global scale. In this blog post, we introduce Follower reads, a key feature for supporting multi-region reads with low latency when your use case can accept stale data.

For many people, interactions in the workplace and connections between coworkers are deeply important to overall wellbeing. We learned in the early days of Cockroach Labs that expressing gratitude and praise for the good work of our peers was deeply important to our culture, and that there existed a desire to acknowledge and appreciate each other publicly. This developed into what we call “peer acks”, short for peer acknowledgments, a forum for celebrating the good work of our peers.

Jessica Edwards

November 27, 2019

At Cockroach Labs, we write quite a bit about consensus algorithms. They are a critical component of CockroachDB and we rely on them in the lower layers of our transactional, scalable, distributed key-value store. In fact, large clusters can contain tens of thousands of consensus groups because in CockroachDB, every Range (similar to a shard) is an independent consensus group. Under the hood, we run a large number of instances of Raft (a consensus algorithm), which has come with interesting engineering challenges. This post dives into one that we’ve tackled recently: adding support for atomic replication changes (“Joint Quorums”) to etcd/raft and using them in CockroachDB to improve resilience against region failures.

Last week, we launched Cockroach University with our first course, Getting Started with CockroachDB. Our goal in building this was to provide a way for people to learn CockroachDB in an engaging and structured environment with lots of opportunities for hands-on practice, as well as a chance to show off what they’ve done. We included a graded final exam, and those who pass will receive a Certificate of Completion.