Operations | Monitoring | ITSM | DevOps | Cloud

Its that time again, it’s the end of the year and it’s time to reflect on the things that have happened in the technology world and think about what went well, what didn’t go so well, where cloud providers are investing, and where we think they might be going in 2024.

As the "new guy" here at Cloudsmith (I was named CEO in August), I'm learning more every day about how customers use us to protect their software supply chains. We're doing everything we can to give you a single source of truth for every artifact - whether it's an open source package, a Docker container, a Linux image - that enters your software supply chain, and everything that you produce on the other side.

Netdata introduces its latest feature, the Alerts Configuration Manager, transforming the way users configure and manage alerts in their Netdata environment. This powerful tool integrates directly into the Netdata Dashboard, offering a streamlined and intuitive interface for both novice and experienced users.

Backstage by Spotify is an open-source platform for building IDPs (internal developer portals). IDPs provide standardization and visibility for engineering teams and managers, as the single source of truth for status, ownership, and metrics on software projects. Teams often try Backstage when they have aspirations of “building anything and everything,” but run into problems when supporting “anything and everything” becomes a full-time job for multiple front and back-end engineers.

Monitoring your machine's internal temperatures is important for maintaining system health, optimizing performance, and ensuring the longevity of your computer hardware. It allows you to take proactive measures to prevent potential damage caused by overheating and helps in diagnosing and addressing cooling-related issues effectively. In this article we'll detail how to use the Telegraf agent to collect temperature readings from a Mac computer, that you can forward to a datasource.

As the demand for AI-based solutions continues to rise, there’s a growing need to build machine learning pipelines quickly without sacrificing quality or reliability. However, since data scientists, software engineers, and operations engineers use specialized tools specific to their fields, synchronizing their workflows to create optimized ML pipelines is challenging.

Picture this: you're knee-deep in resolving a P1/P0 incident, urgently seeking answers. What if you could tap into past incidents to get important incident insights and streamline your troubleshooting process? In this blog, we pitch into the practical aspects of leveraging Squadcast's Past Incidents feature to help you enhance your Incident Management process.

Tech debt affects just about every software organization. For better or worse, speed is one of the core tenets of the software development industry – the rush to build more, add new features, and find solutions fast can drive short-term growth for small organizations and add value for large companies. But haste, as it usually does, makes waste: The mass of suboptimal code, redundant services, and bottlenecked processes that we call tech debt.