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

Introducing Cortex MCP in Devin: AI Engineering Guided by Your Best Practices

Cortex is now in the Devin Marketplace keeping your AI within the guardrails of your org wide best practices With this integration, Devin, the world’s first AI software engineer, can use Cortex data & best practices, like Scorecards, to understand your engineering standards and automatically fix issues at scale. Here’s how it works: Watch the demo to see how Eyal, one of the engineers at Cortex, used Cortex & Devin to turn best practices into action.

How to Connect Jaeger with Your APM

Microservices make it tough to understand how applications behave end-to-end. Most teams already rely on an Application Performance Monitoring (APM) tool to track system health. But as requests move across many services, you also need distributed tracing. Jaeger gives you that visibility. The real value comes from connecting the two. Instead of running APM and Jaeger in silos, you can combine their strengths, metrics from your APM, and traces from Jaeger, to get a clearer view of performance.

Feature Spotlight: PostGres Mocking #speedscale #postgres #postgresql

Struggling with integration testing because of a Postgres database dependency? Testing can feel impossible when you need to replicate realistic data in Postgres. That’s where Speedscale’s Postgres Mocking Tool comes in. Speedscale drops a recorder into your live system, observes all Postgres traffic, and shows you the actual sequence of statements and responses—making it easier than ever to test reliably.

ECS Vs. EKS Vs. Fargate: AWS Container Services Compared

Amazon Web Services (AWS) provides more than 200 services. Among those, Amazon Elastic Compute Service (ECS), Elastic Kubernetes Service (EKS), and AWS Fargate help deploy and manage containers. Choosing between these services can be challenging. They seem similar on the surface (and are all popular). But each offers unique benefits and limitations. In this guide, we compare the three services, discussing the best use cases for each, and helping you choose the best fit for your business.

Acumen - AIOps Automation Platform

Ribbon Acumen is an AIOps & Automation platform for voice and data networks. It's comprised of a series of ready-made applications and a Builder capability that enables organizations to combine those applications with AI to create custom workflows. Those workflows can analyze and react to data from devices and applications, enabling Acumen to automate network deployment and operations, as well as provide tools to rapidly resolve issues.

Lightning-Fast Kubernetes Management with Rancher's Vai Project

If you manage Kubernetes at scale with Rancher, you know that UI performance is not just a “nice-to-have”—it’s crucial for productivity. The Rancher team is on a continuous journey to enhance our platform’s ability to handle increasingly complex environments. In this post take a deep dive into an exciting, evolving improvement we’ve been developing: a project codenamed “Vai” (also called UI Server-Side Pagination or SQLite-backed caching).

Major DAC Update: Expanded Database Support, Enhanced Security, and AI-Powered Features

We are thrilled to announce a significant update across our DAC (Data Access Components) product line. This release focuses on expanding compatibility with the latest development environments, extending support for modern databases, strengthening security, and adding powerful new functionality for AI-driven applications.

Building a .NET PostgreSQL MCP Server for Claude Desktop

Querying PostgreSQL in plain English is no longer a futuristic idea; it’s something you can build today. With a Model Context Protocol (MCP) server, Claude Desktop connects securely to external systems, including databases, through a structured interface. Here, MCP acts as the bridge between Claude and PostgreSQL, allowing it to run queries, explore schemas, and return results instantly in Markdown. This guide walks you through building that bridge in C#.
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Accelerating Cloudnative Development & DevOps

Cloud-native development, and the resultant rise of DevOps, has transformed how software is built, deployed, and maintained. By embracing containerization, microservices, and continuous delivery, organizations have been able to deliver features faster, scale with demand, and recover from failures more gracefully than ever before. Many organizations are adopting these practices to keep up with industry demands and improve efficiency and security. But this speed and flexibility come with a significant cost - complexity.

AWS Prometheus: Production Patterns That Help You Scale

You've got Prometheus running in one cluster — maybe a dev environment, a single EKS cluster, or a proof-of-concept setup. The configuration is straightforward: node_exporter on a few EC2 instances, some service discovery for pods, and a single Prometheus server scraping everything. Storage is local, retention is 15 days, and you can keep all the default recording rules without worrying about costs.