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DevOps

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How to monitor Google Kubernetes Engine with Datadog

Google Kubernetes Engine (GKE), a service on the Google Cloud Platform (GCP), is a hosted platform for running and orchestrating containerized applications. Similar to Amazon’s Elastic Container Service (ECS), GKE manages Docker containers deployed on a cluster of machines. However, unlike ECS, GKE uses Kubernetes, an increasingly popular open source orchestrator that can deploy, schedule, and scale containers on the fly.

Sentry's Internal Integrations: Build internal tools that fit your workflow

Sentry helps developer teams build the most reliable software. Our help often manifests in two distinct forms: resolving issues in your product and ensuring that issue resolution fits seamlessly into existing workflows. We recently launched our Integration Platform, which allows developers to build publicly available tools on top of Sentry. For the launch, we built many new features, while also making it easier to use existing ones.

Kubernetes in Highly Restrictive Environments

Installing Kubernetes is easy. Ensuring it complies with your organization’s enterprise governance and security requirements aren’t. Oleg will outline a plan to use the technology while meeting enterprise security requirements. In this technically-focused talk, he’ll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs.

Canary Release on Kubernetes with Spinnaker, Istio, and Prometheus

In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, the gradual rollout is a feature that doesn't come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.

Centralizing Kubernetes and Container Operations

While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into existing enterprise infrastructure. 

Enabling Digital Transformation with Container Technologies

Digital transformation may be in danger of becoming an overused buzzword. Yet, real business needs are driving this trend and IT leaders feel the pressure to transform their businesses every day. Whether it is the need for speed, agility, or rethinking business processes as a whole – these challenges are here to stay.

Application Deployment with Kubernetes

Kubernetes ensures your deployed applications are always available to users. But how do you deploy applications in Kubernetes without user/service interruptions? Should you write your own scripts using low-level Kubernetes objects, package everything in Helm, or use specific CI/CD tools? There isn’t a clear-cut answer; it always depends.

Kubernetes, Data Science and Machine Learning

Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open-source community. During this meetup, we’ll discuss the growing use of Kubernetes for data science and machine learning workloads. We’ll examine how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We’ll demo a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform.