Kubernetes has seized center stage in the DevOps world when building and migrating applications to a cloud-native environment. In reality, Kubernetes is a means to an end — to scale operations of containerized microservice architecture. Managing deployment, scaling, upgrading and updating of the various microservices of fragmented applications running on containers is not a trivial task, certainly already beyond manual processes. So automation is the only way to go.
We are currently in the midst of the biggest KubeCon to date, KubeCon San Diego 2019. With 12,000 expected attendees, KubeCon is the conference for Kubernetes; the one to rule them all, the open-source container-orchestration platform. In honor of this great event, I hand-picked the top-3 mistakes you can make when moving to Kubernetes. These are based on our own experience as a dev-facing company on a K8s journey, as well as the experience of our customers.
Announcing Alcide new integration with Datadog, the leading monitoring platform. Users will now get insights and alerts from Alcide kAudit in real-time in order to detect Kubernetes compliance violations, security incidents, and administration activity anomalies directly from the Datadog platform.
As users adopt Kubernetes, Elastic products move fast to support their evolving needs. Whether you are trying to run Elasticsearch workloads to Kubernetes or want to gain better visibility into container workloads running across different environments, we are doubling down on building cloud native tools to support these efforts. This blog covers recent advancements to support Kubernetes initiatives:
Ever wonder what is going on with your Kubernetes clusters, as they deploy, scale and maintain container images? Do you want deeper visibility than current monitoring tools provide? Wonder no more. Today we are announcing a seamless integration of Kubernetes and Epsagon, the automated, distributed tracing solution for cloud microservices, including containers, with payload visibility to monitor, troubleshoot and fix issues in seconds.
This week at KubeCon in San Diego, Rancher Labs announced the beta of Rio, the application deployment engine for Kubernetes. Originally announced in May of this year, the latest release is version v0.6.0. Rio combines several cloud-native technologies to simplify the process of taking code from the developer’s workstation to the production environment, while ensuring a robust and secure code deployment experience.
By next year the number of connected devices will exceed 20 billion. The vast majority of these devices run on Arm architecture, increasingly at the infrastructure edge. With this growth in mind, the need for an agile, Arm-based development methodology has become increasingly urgent. Arm Neoverse provides the required IP for building the next gen of edge to cloud infrastructure to support the data explosion we are seeing, primarily caused by IoT.
SignalFx Announces Upcoming Availability of the Most Advanced Solution to Monitor and Operate Kubernetes Environments