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

Stop Guessing, Start Measuring: Optimizing Rancher Continuous Delivery With Fleet Benchmarks

Rancher Continuous Delivery (known as Fleet) can be used in a workflow to deploy applications to many clusters. With its GitOps support, it enables downstream clusters to pull updates from a Git repository. We know of users that monitor several hundred Git repositories and deploy to a thousand clusters. To make this scale possible, several intermediate steps are necessary. First, the application is converted into separate bundles, which are then targeted at clusters.

7 Best Network Configuration Management Tools

If you want a secure, efficient, and compliant network, network configuration management is a must. Whether managing a small network or being responsible for a large enterprise system, having the right solution can make all the difference. Network configuration management tools provide valuable insights into devices on your network, and they can help quickly restore previous configurations in the event of a failure, misconfiguration, or security incident. What is network configuration management?

Horizontal Vs. Vertical Scaling: Which Should You Choose?

We all want growth, but often find ourselves unequipped to deal with it. It’s a bit like going to the gym, lifting weights, and seeing real results, only to realize that you no longer fit into your old clothes. Now you have to decide whether to modify them or buy new clothes. We can use this very simple analogy to understand horizontal vs. vertical scaling.

Comprehensive Guide to Developing and Deploying a Python API with Docker and Kubernetes (Part I)

In the evolving landscape of software development, containerization and orchestration have become pivotal. Docker and Kubernetes stand at the forefront of this transformation, offering scalable and efficient solutions for application deployment. This guide provides a detailed walkthrough on developing a Python API, containerizing it with Docker, and deploying it using Kubernetes, ensuring a robust and production-ready application.

Our Biggest Platform Release in Years: Virtual Providers and Virtual Machines

Cycle.io is taking a giant leap forward in 2025. Today, we're announcing the biggest platform release in years -- a release that catapults Cycle into a new era of hybrid infrastructure orchestration and cements its status as a true alternative to both Kubernetes and VMware. Now, with two massively impactful features: Virtual Providers and Virtual Machines.

New Feature: Virtual Providers - Orchestrate Hybrid Infrastructure

Your Infrastructure. Your Cloud. Anywhere. Introducing Virtual Providers—a powerful new way to turn any server or VM into part of your Cycle-managed private cloud. With just a bootable ISO generated from the Cycle platform, you can instantly bring bare metal or virtual machines online—no matter where they live. Cloud, colo, on-prem, edge, or even a server sitting in a closet. Once connected, Cycle handles the provisioning, updates, networking, and orchestration automatically.

NEW: Virtual Machines on Cycle

Run Anything, Anywhere — Now Including Virtual Machines Cycle just got even more powerful. In this video, we're announcing full support for virtual machine workloads on the Cycle platform. That means containers, functions, and now VMs—running side by side, managed through the same automation, networking, and orchestration engine. Whether it's bare metal in a colo, VMs on a cloud provider, or hardware in a homelab, Cycle brings it all together into one global private cloud.

AI at the Edge: Why Smart Data Placement is the Key to Unlocking Its Power

As organizations increasingly deploy AI solutions, I am seeing more and more that the strategic placement of data—particularly at the edge—is becoming paramount to unlocking AI’s full potential. This is a viewed shared by our partners at Riverbed, as highlighted in a recent white paper, Accelerating AI and Data Movement at the Edge. Edge computing enables businesses to perform complex operations at production sites by positioning compute resources nearer to users and operations.

JFrog's SPOF Framework for SaaS Ecosystems

As Software as a Service (SaaS) solutions evolve, organizations face increasing pressure to ensure uninterrupted service delivery. One of the most significant threats to SaaS Service delivery and operational continuity is the presence of known and unknown Single Points of Failure (SPOFs). As a SaaS organization, the team at JFrog deeply understands the risks of SPOFs and works hard to avoid them.