Runbook Suite Overview
An explainer video of the all the products within the Runbook Suite.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Kubeflow vs MLFlow
Learn the main differences between the MLOps tools of choice: Kubeflow and MLFlow Started by Google a couple of years ago, Kubeflow is an end-to-end MLOps platform for AI at scale. Canonical has its own distribution, Charmed Kubeflow, which addresses the entire machine-learning lifecycle. Charmed Kubeflow is a suite of tools, such as Notebooks for training, Pipeline for automation, Katib for hyperparameter tuning or KServe for model serving and more. Charmed Kubeflow benefits from a wide range of integrations with other tools such as MLFlow, Spark, Grafana or Prometheus.
Securing open source software with Platform One and Canonical
Our own Devin Breen and Mark Lewis discussed Securing Open Source Software with the Chairman of Iron Bank at USAF Platform One Zachary Burke at AWS Summit Washington, DC. The topic includes: Securing Open Source Software, Secure Minimal Containers, and Software Security Scanning.
The NOC of the Future: What Businesses Must Know Now
The Network Operations Center (NOC)— the powerful, centralized epicenter that supervises, monitors, and maintains network availability—is the core of the network infrastructure. It’s up to the NOC to keep large, complex networks running reliably.
Synthetic monitoring as Code with Checkly and ilert
This post will introduce Checkly, the synthetic monitoring solution, and their monitoring as code approach. This guest post was written by Hannes Lenke, the CEO, and co-founder of Checkly. First, thanks to Birol and the ilert team for the opportunity to introduce Checkly. ilert recently announced discontinuing its uptime monitoring feature and worked with us on an integration to ensure that existing customers could migrate seamlessly. So, what is monitoring as code and Checkly?
How we improved testing Ubuntu on WSL - and how you can too!
As the popularity of Windows Subsystem for Linux increases, the Ubuntu development team is committed to delivering a first class experience for Linux developers on Windows. To achieve this we’ve made improvements to our automated testing workflows via the creation of WSL-specific GitHub actions. In this post, Ubuntu WSL engineer Eduard Gómez Escandell talks us through the motivation for this approach and how you can implement these actions for your own CI workflows.
Evolution at the edge: what matters when developing an edge strategy?
The evolution of information technology is governed by how businesses adapt to ever-increasing amounts of data. Those businesses most able to exploit more data, win. Terms such as ‘speed’ and ‘agility’ refer to how a business handles and uses this data. Given the 2.5 quintillion bytes created every day, there is a huge opportunity for businesses to create unassailable leadership.
3 Tips to Improve Your Dockerfile Build time
Building Docker images efficiently is crucial for developers and organizations seeking streamlined development and deployment processes, and it’s a real topic for the 50k developers on Qovery; a few weeks ago, a topic was even open on our forum about it. In this article, we will explore three valuable tips gathered along the way to improve the build time of your Dockerfiles, allowing you to optimize your workflow and save valuable time.
What is High Cardinality
Overview of what is high cardinality in the context of monitoring using Prometheus and Grafana.
GitKraken Client 9.5: Workspace Power Ups & PR Complexity Scores
Looking to share a group of repos with someone? In this update, we’re introducing easier Workspace collaboration along with other power ups for your everyday version control. Let’s dive in and discover what’s new!