Operations | Monitoring | ITSM | DevOps | Cloud

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

Building an end-to-end Retrieval- Augmented Generation (RAG) workflow

One of the most critical gaps in traditional Large Language Models (LLMs) is that they rely on static knowledge already contained within them. Basically, they might be very good at understanding and responding to prompts, but they often fall short in providing current or highly specific information. This is where RAG comes in; RAG addresses these critical gaps in traditional LLMs by incorporating current and new information that serves as a reliable source of truth for these models.

Simple Talks Podcast | S2 Episode 9 - Coffee chat with Carlos Chacon

Carlos Chacon of Marathon Consulting joins Louis for a lively chat about topics far and wide, from the community and podcasts to security and laundromats. Carlos has his own longstanding podcast and, as they came to the end of the interview, he turned the tables on Louis and made him answer some of his own questions too!

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.