In the first two articles in this series about using serverless on an open source platform, I described how to get started with serverless platforms and how to write functions in popular languages and build components using containers on Apache OpenWhisk.Here in the third article, I’ll walk you through enabling serverless in your Kubernetes environment.
Kublr and Kubernetes can help make your favorite data science tools easier to deploy and manage. Hadoop Distributed File System (HDFS) carries the burden of storing big data; Spark provides many powerful tools to process data; while Jupyter Notebook is the de facto standard UI to dynamically manage the queries and visualization of results.
The holy grail for any CMO looking for their next gig is to find the perfect combination of addressable market, market timing, company, and product. That’s why I am so excited to be joining the team at Rancher Labs, the leader in container management software. Let’s look at all the variables.
Starting this week, we will do a series of four blogposts on the intersection of Spark with Kubernetes. The first blog post will delve into the reasons why both platforms should be integrated. The second will deep-dive into Spark/K8s integration. The third will discuss usecases for Serverless and Big Data Analytics. The last post will round off with insights on best practices.
Kubernetes is the de facto open source container orchestration tool for enterprises. It provides application deployment, scaling, container management, and other capabilities, and it enables enterprises to optimize hardware resource utilization and increase production uptime through fault-tolerant functionality at speed. The project was initially developed by Google, which donated the project to the Cloud-Native Computing Foundation. In 2018, it became the first CNCF project to graduate.
Kubernetes is an open-source container-orchestration system for automating application deployment, scaling, and management. It was originally designed by Google, and is now maintained by the Cloud Native Computing Foundation.
Back in May we did a soft-launch of The RanchCast. We debuted it as a Twitch stream and produced a couple of episodes that you can now find on The RanchCast YouTube channel. After those episodes aired, I went through the feedback from the community and other streamers. Now we’re ready to re-launch.
At Sensu Summit 2018, Sensu CEO Caleb Hailey and CTO Sean Porter sat down with Kelsey Hightower, Staff Developer Advocate at Google Cloud Platform (GCP), for a fireside chat on a variety of topics, including the evolution of the monitoring space, Kubernetes best practices, their opinions on an open core business model, how operators’ jobs are changing, and more. Kelsey, Sean, and Caleb discussing all things Kubernetes and open source at Sensu Summit 2018
Load balancing, traffic management, authentication and authorization, service discovery — these are just some of the interactions taking place between microservices. Collectively called a “service mesh”, these interconnections can become an operations headache when handling large‑scale, complex applications. Istio seeks to reduce this complexity by providing engineers with an easy way to manage a service mesh.
This week Rancher Labs announced a record 161% year-on-year revenue growth, along with a 52% increase in the number of customers in the first half of 2019. Other highlights from H1’19 included: You can find the complete release here. We are grateful to our community of customers, partners, and users for the growth we achieved in the first half of 2019, and we will continue to gauge Rancher’s success in the larger context of enterprise adoption of Kubernetes.
