Ridesharing company Lyft has open sourced Flyte, its distributed processing platform for machine learning workflows that is being used in different Lyft teams including Pricing, Data Science and Fraud. Let’s see how the open source tool can benefit ML workflows.
Both machine learning and the use of cloud-native environments built on containers are becoming more commonplace in the enterprise. Luckily, Kubernetes and containers are a perfect match for ML. The cloud-native model has many advantages that can be brought over to machine learning and other forms of artificial intelligence for more effective, practical business strategies.
Kuma is a new universal open source control plane for service mesh and microservices. It is built upon Envoy and can operate natively across modern Kubernetes. With Kuma, the main goal is to reduce the code that has to be written and maintained to build reliable architectures. Read the introduction to Kuma to learn more about it and how it operates.
Even the best Kubernetes management solution cannot save you from bad infrastructure provisioning. You can’t achieve true self-healing applications if you don’t have a self-healing infrastructure. Find out what self-healing Kubernetes can and cannot do and how Kublr provides fully self-healing clusters, including master and worker nodes.
Container technology is spreading like wildfire in the software world – possibly faster than any other technology before. Kubernetes, in particular, has had a banner year and continues to rise. But what are the key learnings so far? Learn about existing Kubernetes operators in detail with Red Hat’s Roland Huss.
Eirini is a Kubernetes backend from Cloud Foundry, providing an Orchestrator Provider Interface layer. It allows users to choose Kubernetes as their container scheduler, so they can use the tools that they are already familiar with. Now, Eirini recently hit its version 1.0 release. This important milestone means that Eirini is ready for use and has earned its stability. See what’s new and what’s under the hood.
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week Quarkus 1.0.0.Final arrived, five new JEPs were confirmed for Java 14 and we published a new interview in our series Women in Tech.
Chaos engineering is the art of destruction. Since Netflix unleashed Chaos Monkey onto the world, chaos engineering has been used to test system resiliency and see just how secure your system really is. Kubethanos is a new open source tool for Kubernetes pods. It kills half of your pods at random so that you can see just how your system (and your team) behaves under the threat of catastrophic failure.
At Kubecon last week, Containous launched their new Traefik Ambassador Program in an effort to give contributors to the open source cloud-native edge router some recognition for their contributions. Community members are already expressing their enthusiasm for the new initiative. Let’s take a closer look.
What’s hot, what’s not, and what technology should you say yes to as 2020 rolls in? Tech researchers from ThoughtWorks offer their input in the biannual Technology Radar. This issue highlights some rising tech techniques that you should adopt, what Kubernetes tools you should have a look at, and advice regarding cloud adoption.
Kubernetes makes it easy to give engineers the ability to deploy their apps to dedicated, isolated namespaces. In this article you will learn what Kubernetes is and how to use Chaos Engineering to help you reach your company’s objectives. Discover what containers, monoliths, and microservices are, why containers are useful, and how to lay down the foundations of success with Kubernetes.
Gloo is an Envoy-powered API Gateway for use with Kubernetes that can connect, secure, and control traffic from a variety of application services. Gloo’s architecture is very flexible; it can support hybrid applications with multiple technologies, clouds, architectures, and protocols. Recently, Gloo hit its 1.0 milestone and is ready to be used in production.
Modern technology can help free yourself from data sampling. Current computing power has made scalability vastly and available and machine learning algorithms have made the discovery of data quality issues automated and easy. Move on from the old ways of data sampling and learn how to enter the new world of big, smart data.
In this article, Kamesh Sampath shows us how to master the first steps on the journey towards a serverless application. He shows how to set up the right environment and takes us through its deployment.
