Operations | Monitoring | ITSM | DevOps | Cloud

This is the eighth blog in our Azure Monitoring series, where we look at a challenge many organizations face as Azure and multi-cloud environments expand: monitoring tool sprawl. What starts as a few monitoring solutions for different needs can turn into disconnected dashboards, duplicate alerts, and fragmented visibility.

Three ways to archive a shared mailbox: In-Place Archive (licence rules), inactive mailbox retirement, or archiving departed-user mail before converting.

We shipped 62 features in June: roughly one every twelve hours! That pace isn't an accident. It's what happens when AI is writing more of the code, generating more of the tests, and clearing more of the review queue, and the rest of the delivery pipeline has to keep up.

Many network outages usually start with something as small as a configuration change that nobody logged. One undocumented edit to a firewall or a core switch can lead to the team losing hours working out what changed, on which device, and how to undo it. Across cloud, SD-WAN, and multi-vendor stacks, that guesswork only gets more expensive. Network configuration management takes the guesswork off the table.

There’s a question we hear constantly from platform and engineering leaders right now, “which agent SDK should we standardize on for our Kubernetes clusters?” The honest answer is that the question is slightly wrong, and the rest of this post explains why. But it’s a fair question, so let’s compare the contenders first.

Has Kubernetes made your DevOps team faster, or just busier? Most teams adopt it for speed and portability, and they get both. What arrives with it is a quieter cost: the operational weight of running the cluster day to day. That weight shows up in the manual work the platform was supposed to eliminate. A resource limit set incorrectly can waste infrastructure for months.

What does it take to stop an outage before it starts? In many cases, the warning signs are already there, scattered across different monitoring tools, which makes it difficult to see the full picture before issues escalate. When an incident occurs, engineers often spend valuable time piecing together metrics, logs, traces, and alerts to determine the root cause. Every minute spent investigating extends the outage and increases its business impact.