Not all systems can meet their SLAs by relying on CPU/memory usage metrics alone, most web and mobile backends require autoscaling based on requests per second to handle any traffic bursts. This step by step guide shows you how to set up Kubernetes Horizontal Pod Autoscaler with Prometheus defined custom metrics, to fine tune your application monitoring and ensure high availability.
Part 4 of the GitOps blog series explains how you can make your continuous delivery pipeline more secure using 3 best practices which enables auditing and compliance. This is aimed at Kubernetes users who have adopted Continuous Integration (CI) and who want to add Continuous Deployment (CD) to their pipeline.
While Helm helps with getting applications running, you need other tooling to keep them up to date when something changes. Check out our alpha release of our Helm integration in Weave Flux. It makes sure your Helm chart releases are kept up to date with what’s in Git. You can try it out using the published repository in Github.
Looking at a CICD pipeline with security in mind, reveals some interesting concerns. Consider the credentials and access typically assigned to each step, and what’s actually required for each step - Read Write access, and Read Only access. The CI system can be a target, because it’s got credentials for the source code, the image repo and the cluster, and it crosses two logical security boundaries. Learn how you can mitigate this with a GitOps approach.
See how Qordoba doubled their productivity by using Weave Cloud for Continuous Delivery to deploy machine learning models to Kubernetes.
Google Developer Advocate, Ray Tsang shows us how to debug microservices running in Kubernetes.
Watch this short architecture overview video to learn how Weaveworks monitors clusters at scale using a highly available, multi-tenant system built on AWS services.
Discover how to achieve an automated continuous delivery with Kubernetes, Google Cloud Platform and Weave Cloud multiple time a day. Discover the role, observability and metric monitoring play for determining whether you’re progressing once you’ve increased your speed of deployment.
This blog post explains techniques for development teams who strive for high velocity continuous delivery using Kubernetes and Docker. When we say “high velocity” we mean that every product team can safely ship updates many times a day — deploy instantly, observe the results in real time, and use this feedback to roll forward or back. The goal is for product teams to use continuous experimentation to improve the customer experience as fast as possible.
We put together a collection of educational pages on how to run Kubernetes on AWS , focusing on best practices for configuration, installation options and management. Topics covered include: what Amazon services are required, the CNI interface and how pod networking is accomplished, defining ingress, how to use datastores with Kubernetes and how to meet the AWS IAM requirements.
This step by step tutorial shows how to set up Kubeflow, a tool that simplifies set up of a portable Machine Learning stack and Weave Cloud on the Google Cloud Platform. Kubeflow users will then be able to use Weave Cloud to observe and monitor the stack, including metrics for resource management.
Are your Kubernetes ReplicaSets slowing you down? With a quick little clean up, our CPU load went down by 10%! Here's a quick overview of how you can check how many you have running, set a revision limit and even request a rollback.
What a week we've had in Austin with fellow Kubernauts (4,000 to be exact!) for the annual KubeCon event. Thank you for stopping by our booth and chatting containers, microservices and Kubernetes with us. And don't miss our exciting announcement in collaboration with Google!
What a week we had last week with our partners and peers (43,000 to be exact!) in Vegas for the annual AWS re:invent. Thank you for stopping by our booth and chatting containers, microservices and Kubernetes with us! Of course one of the most exciting moments was the EKS announcement, a managed Kubernetes offering on AWS.
We've partnered with the Google team to create a simple set-up process that makes it easy to experience the power of Kubernetes (GKE) with Weave Cloud’s management capabilities. If you're exploring Kubernetes and want a completely integrated CI/CD pipeline with observability and monitoring then this gives you everything you need.
Sealed Secrets is a Kubernetes Custom Resource Definition Controller which allows you to store even sensitive information (aka secrets) in Git, which previously has not been an option. In addition, you can use Weave Cloud’s Deploy feature in conjunction with Sealed Secrets to create a continuous deployment pipeline where all operations are git based and where the desired state of your apps is declared in your git repos including your secrets.