Azure DevOps has become a cornerstone for development teams, providing comprehensive tools for managing, planning, and delivering software projects. But effective project management isn’t just about setting up pipelines and managing repositories – it’s about measuring progress and making data-driven decisions. Here’s a look at three powerful tools for reporting Azure DevOps metrics: Azure DevOps built-in dashboards, Power BI, and SquaredUp.

Azure DevOps is a powerful toolset that helps teams plan, develop, deliver, and operate software projects efficiently. Among its many features, Dashboards and Boards stand out as critical tools for project management and team collaboration. While they may seem similar at first glance, they serve different purposes and cater to different needs within the DevOps lifecycle. This blog will explore the differences between Dashboards and Boards in Azure DevOps, highlighting when and how to use each effectively.

GenOps is a new operational platform for Generative AI. Learn the difference between AI agents and microservices and how to implement GenOps.

If you are a Frends user, then you have chosen to use the Frends Platform to implement an iPaaS solution. You may have come from a BizTalk background where you chose to migrate to Frends as an alternative to Azure, or you may be a new greenfield Frends implementation. Frends customers have been successful implementing their integration solutions with Frends and when we visited the Autom8 conference we spoke to a lot of Frends customers about how they are using the product.

Snowflake has gained significant traction in the data warehousing space due to its unique architecture, flexibility, and ease of use. Heck, after using a legacy approach for some time, we at CloudZero went with Snowflake. While at it, we noticed Snowflake customers express concerns about costs more often than they would like. So, in this guide, we’ll share our best tips for getting the most out of Snowflake without overspending.

In this blog series we’ve examined Five Myths of Apache Spark Optimization. But one final, bonus myth remains unaddressed: Bonus Myth: I’ve done everything I can. The rest of the application waste is just the cost of running Apache Spark. Unfortunately, many companies running cloud environments have come to think of application waste as a cost of doing business, as inevitable as rent and taxes.

Get a detailed look at the top cloud monitoring tools of 2024. Compare leading solutions to understand their features and performance, helping you choose the best fit for your cloud infrastructure.

This blog explores the complexities of cloud monitoring, the limitations of native tools, and how ManageEngine Applications Manager can provide a comprehensive solution.