Operations | Monitoring | ITSM | DevOps | Cloud

We shipped v2 of a small products API on a Thursday. Green CI. Green replay. The new search endpoint worked. I went home feeling competent. Friday morning I ran the same traffic against both builds with proxymock and compared the SQL. v2 had added 80 queries on the same HTTP script. A per-product audit COUNT was firing inside the list handler. A startup migration had run ALTER TABLE and CREATE TABLE audit_log. Total DB time was up 70 ms on a demo that should have been boring.

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.

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.

Learn how F5 BIG-IP VE simplifies multicloud application delivery, security, and traffic management with MVE. As enterprise applications continue spreading across multiple clouds, the application edge is changing. A few years ago, application delivery was usually tied to a physical appliance sitting in a data center; today, applications are everywhere.