Posted in devops
Posts Tagged ‘system’
Regardless of where you stand with your digital transformation project(s), are you prepared to explain how machine learning and artificial intelligence (AI) will transform your organization? For the vast majority of IT staffers, the answer will be range from kind of maybe to thats years away, so lets talk later.
The Technical Oversight Committee (TOC) within the Cloud Native Computing Foundation (CNCF) this week has decided to accept Vitess as a new project. Vitess is a database orchestration system developed at YouTube that automatically shards instances of open source MySQL databases as they horizontally scale.
Now that the containerd project has formally reached a 1.0 status under the auspices of the Cloud Native Container Foundation (CNCF), one of the hallmarks of 2018 will be a significant expansion of the number and types of platforms that can host container images. The containerd project provides a mechanism for transferring container images in addition to controlling how a container is executed and supervised on both Linux and Windows systems.
Provisioning a Kubernetes cluster has become a lot easier in recent months, but the daily management of the platform still can be challenging. To make it simpler to manage a Kubernetes cluster, Canonical has teamed up with Rancher Labs to deliver a Cloud Native Platform due out in early 2018.
The recent news from Amazon Web Services that it will finally support Kubernetes is great news for CIOs, but its also a watershed moment for the cloud industry as a wholeone that could finally see Amazons seemingly unassailable dominance in the cloud start to be diminished. AWS announced its long-awaited support for Kubernetes at its re:Invent conference.
Pepperdata has launched a project aiming to enable the Apache Spark in-memory computing framework for big data analytics applications. Pepperdata CTO Sean Suchtuer says the Hadoop File System (HDFS) on Kubernetes open-source project hosted on GitHub seeks to take advantage of a unique opportunity to unify the underlying infrastructure employed to support both big data and traditional applications.