Operations | Monitoring | ITSM | DevOps | Cloud

Cloud computing empowers organizations to access IT resources on demand, over the Internet, and on a pay-per-use basis. Thus, your company does not need to purchase, install, operate, and upgrade hardware for physical data centers. Instead, you can rent resources as needed from cloud service providers such as Amazon Web Services (AWS). For instance, AWS provides compute, storage, database, networking, machine learning, data lake, analytics, security, and IoT resources/services.

Distributed architecture is increasingly being adopted in current software systems because it brings great scalability and flexibility, keeping them resilient under real-world conditions, Unfortunately, this new distribution also introduces new points of failure in the systems. Traditional testing methods are no longer enough; they focus only on whether a system works, not on whether it keeps working under stress or failure. That is where chaos engineering comes in.

CircleCI gives you deep visibility into your builds, workflows, and tests, but jumping between browser tabs, copying project URLs, or re-authenticating across tools can slow things down. What if your IDE could just show you the projects you’re working on and let you act on them directly? This post shows how to use the list_followed_projects tool in the CircleCI MCP server to browse and interact with your CircleCI projects by chatting with an AI assistant inside your IDE.

Heroku and AWS offer distinct benefits for startups and mid-size companies. This guide compares pricing, scalability, security, and developer experience to help you choose the right cloud platform based on your team’s needs and growth goals.

Your Java app slows down during peak load. A microservice crashes, but logs aren’t helpful. These aren’t rare events—they’re common signs something’s off inside the JVM. For Java developers and DevOps teams, JVM metrics offer clues to what’s going on. This blog covers the key metrics to track, what they tell you, and how to use them to troubleshoot performance issues in a practical, no-nonsense way.

Yet another supply chain attack has surfaced, this time using the xrpl library to sneak through malicious packages. xrpl.js is recognised as the recommended npm library for integrating the XRP Ledger (XRPL) with JavaScript/TypeScript applications, and has over 140k downloads a week.

IT and data teams in Financial Services must meet the more exacting demands for data integrity, compliance, performance, high availability and security that are expected in the sector. These demands require a dedicated, comprehensive, and scalable monitoring solution to help teams succeed in this high stakes environment.

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.