Operations | Monitoring | ITSM | DevOps | Cloud

Internal Developer Platform (IDP) is a game-changing innovation that has transformed the technology landscape. In the previous article, we discussed in detail the effectiveness of these developer platforms in terms of developer efficiency, faster product releases, frequent collaboration, etc. However, one aspect that is of paramount importance, especially from the business perspective, is the ROI. The first question any manager will ask is, "What will be the ROI of investing in an IDP"?

In this post we adopt a slightly different lens through which to “see” and understand IT orchestration understood to be an orderly sequence of automations executed across disparate domains, including servers, networks, security, apps, cloud and more.

We release VictoriaMetrics several times a month, including at least one major update. However, because these new releases often introduce new features, they may be less stable. That’s why we also regularly publish Long-term support releases (LTS) alongside our regular releases. These LTS versions focus exclusively on bug fixes without new features and performance improvements. We committed to publishing LTS versions every six months and supporting them for one year.

Internal developer platforms (IDPs) have become a necessity for software development in today's ever-changing technological landscape. These platforms not only support engineering team velocity and business product strategies but also enhance communication and information flow, impacting successful product launches.

Whether you're a seasoned network administrator or a curious tech enthusiast, the ability to diagnose and resolve network issues is an essential skill. When it comes to troubleshooting network problems, few tools are as powerful and revealing as the humble traceroute. In this blog post, we'll delve into the world of traceroute troubleshooting, uncovering its inner workings and demonstrating how it can be your secret weapon in identifying and resolving network issues.

As we venture deeper into the data-driven era, the traditional systems we have employed to store, search, and analyze data are being challenged by revolutionary advancements in Artificial Intelligence. One such groundbreaking development is the notable advent of Large Language Models (LLMs), specifically those with Multi-Mod[a]l abilities (e.g., Image & Audio).