Operations | Monitoring | ITSM | DevOps | Cloud

I spotted this thread on Reddit, discussing the pains of executives dropping into incidents, and the corresponding impact it can have on the incident response process. Being an SRE community, it was a little more of a one-sided account of the situation. So let’s look a little closer, and dive into what it takes to make incidents better for responders and executives alike.

Recently when recording an episode of the FinOps on Azure podcast with Rik Hepworth which will be out soon we discussed a scenario where we have a cost issue because something went wrong with an Azure solution. In this article we will explore that problem and how you can implement some protection for it.

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).

In the digital age, effective document management is the cornerstone of operational efficiency, especially within platforms like SharePoint. SharePoint serves as a central repository for a myriad of documents—each vital for the day-to-day function of a business. However, without proper management, this repository can quickly turn into an unnavigable maze.

The wins just keep coming! Today we celebrate fresh evidence of the mark we're making in the industry.

Observability tools help engineering teams understand the health and behavior of software. But the term “health” in the context of this type of tooling is fairly narrow in scope—pertaining to real-time performance, reliability, and availability. While these are three important metrics to monitor, they’re lagging indicators of bigger issues happening upstream.

This is part four of seven in our Frugal Architect blog series. Read the rest of the series here. In case you weren’t as giddy as CloudZero was at re:Invent this past year, we wanted to recount the seven laws outlined by Werner Vogels, Amazon’s CTO, which he’s bundled into a framework called “The Frugal Architect” (check out the whole framework here). What is “The Frugal Architect”?

Backstage is gaining wide adoption for platform engineering teams looking to build internal development platforms. After implementing Backstage, data has shown an improvement in 2X of code changes, and a decrease of 17% in cycle time making a huge impact on the business delivery pipeline for organizations. Backstage with its rich plugin ecosystem, makes it possible to get full troubleshooting and security coverage you need across your entire pipeline in a single dashboard and interface.