Operations | Monitoring | ITSM | DevOps | Cloud

Four ways to identify which SharePoint sites and libraries are consuming your storage - the Active sites view, per-site Storage Metrics, PowerShell (Get-SPOSite), and the admin usage reports - plus what to do once you have found them.

Most cloud-native cost tools are built to find and address waste reactively. Underutilized nodes, oversized requests, and idle workloads are revealed in the utilization data, the fixes are well documented, and the initial savings these tools drive are very real. But what we’ve seen consistently across clusters is a different category of blocker, one that quietly prevents consolidation and strands capacity your autoscaler can never reach. They don’t surface in dashboards as obvious waste.

For the past couple of years, most conversations about AI in business have centered on adoption. Which tools should organizations deploy? Where can AI improve productivity? How quickly can it deliver value? Those questions still matter, but they are no longer the most difficult ones to answer. AI is now appearing across business applications, employee workflows, development environments, and customer-facing services.

Using JFrog CLI used to come with a catch. To run a build through it, you had to put it in front of the command. For example, jf npm install instead of npm install or jf mvn package instead of mvn package per the example below: npm install → jf npm install mvn package → jf mvn package Doing that once is easy enough.

A Terraform string is just a sequence of characters, but almost everything you write in HCL touches one: resource names, tags, file paths, generated policies, connection strings. Knowing how Terraform builds, combines, and templates strings will save you from some of the more confusing errors you'll hit in a growing configuration.

Since November, Kosli’s own engineering team has been running a live experiment: what happens to code review when the thing generating the code - and increasingly, the thing reviewing it - is an AI, not a person. Alex Kantor, Kosli’s Director of Technology, walked through that experiment in this webinar: what broke, what it cost to fix, and what four “obvious” assumptions in a standard code review control turned out not to hold once you took the human out of the loop.