Operations | Monitoring | ITSM | DevOps | Cloud

While CloudZero has always been a leader in the ingestion, allocation, and analysis of cloud cost data across the broadest set of cloud providers, our team is constantly working on ways to make it easier for customers to get the absolute most value out of the data they send to our platform.

Calculating your Azure DevOps budget doesn’t need to make your palms clammy. Consider this your 2024 guide to figuring out all you need about Azure DevOps pricing so nothing sneaks up on your monthly budget. But let’s define some terms before we get into the nitty-gritty details.

Automation is something you hear a lot about in cloud computing. When done well, it helps save time and eliminates human error. Automation can also help you innovate faster because it frees up your IT talent to focus on innovation – rather than repetitive tasks. But did you know cloud orchestration could be the real reason for those benefits — and not really cloud automation?

The In-process model of running Azure Functions is being retired in favor of the Isolated model in two years. A lot of components on elmah.io are running on Azure Functions. To ensure we are running on the most modern and supported platform (also in two years), we have spent quite some time migrating from In-process to Isolated functions. In this post, I'll share both a checklist to help you do the same as well as some of the lessons learned we had during the migration.

This is a vendor guest post authored by the team at Lytix. Lytix being discussed on this blog is not an endorsement by Taloflow or an approval by Taloflow of any of the content contained herein. Taloflow is not compensated for this vendor guest post in any way and presents this post for purely informational purposes and the benefit of site users.

Storage monitoring involves discovering the estate, devices, and network interconnections. Key telemetry requirements include their states, performance metrics, and logs. As the complexity of the environment increases and storage reliability improves, the focus shifts. Understanding the layers above, such as file systems and databases, and their demand for storage services becomes crucial. This article delves into the detailed knowledge required to achieve effective observability.

Azure storage pricing can be complex, with multiple tiers, storage types, and payment options to consider. This complexity can lead to unexpected costs, ruining your Azure cloud budget. Additional fees for read/write transactions, metadata storage, snapshots, and early deletion fees can add up. The good thing is you can review and adjust your storage configurations to minimize unnecessary costs.