Operations | Monitoring | ITSM | DevOps | Cloud

That was the question posed at the Women in Open Source+ Panel I had been asked to moderate. The panelists, from Snowflake, AWS, and NVIDIA, gave similar answers: We have our jobs today because of the community, and I don’t see that changing any time soon. I felt the same. When I joined Aiven, its direct callout to open source was a deciding factor.

Your employees have access to AI. They've completed the training. Their usage is climbing, but has the way they work actually changed?

Every retail IT leader knows that a mix of anticipation, cautious relief, and low-grade paranoia the week before the holiday freeze. Change requests stack up. Teams push last-minute updates to servers, registers, and store systems. And somewhere across hundreds or thousands of locations, one system has drifted slightly out of compliance. Nobody notices until peak traffic arrives. Then a lane goes down, a register stops processing transactions, checkout slows, and revenue starts walking out the door.

Sending server logs to Papertrail over Syslog takes one setup command, and running it needs admin access: sudo on Linux, or Administrator rights on Windows. If you started a free trial but don’t have that access here are instructions to get your logs flowing. Copy your setup command, send it to a teammate who has admin access using one of the ready-made messages below, and your logs can be streaming in Papertrail within minutes of them running the script. This post walks you through those steps.

Our conversations at the recent ServiceNow® World Forum in London highlighted a growing interest in how enterprises can make better use of the operational intelligence available across their existing IT environments.

Learn what continuous data protection is, how it reduces data loss, and how it supports lower recovery point objectives. Table of Contents A backup can complete exactly as scheduled and still leave you with more data loss than your business can tolerate. Imagine this scenario. Your business database is backed up at midnight every night – but one afternoon, it fails at 4 p.m. Everything written in the 16 hours leading up to this failure falls outside your latest recovery point.

AI coding tools have changed how fast software ships. They haven’t changed who runs it. Every extra release, alert and incident still lands on the same SRE, Platform and DevOps teams, and 78% of technology leaders report more incidents since adopting AI-generated code. So operations teams are turning to agents too. Six in 10 enterprise leaders are piloting, deploying or evaluating automated incident response, according to Caylent.

Agents have quickly become part of the tech landscape as organizations embrace AI across their businesses. But embracing agents also means embracing the monitoring best practices that have long been part of engineers' workflows: tracking performance, catching errors, and responding to incidents But it doesn't stop there. Agents also introduce new challenges.

In 2025, attackers reached the Salesforce data of hundreds of companies without breaking into Salesforce. They used access tokens belonging to an AI chat agent. Google's threat intelligence team counted more than 700 potentially affected organizations, and because the tokens belonged to a trusted app, they carried the attackers past safeguards such as MFA. Enterprises already know how to manage this kind of risk for people.

AI Signals adds a standard set of AI dimensions to your dimension picker, plus custom dimensions built from your own data. Not every team needs all of them. The ones you don’t use make the ones you want harder to find. Cleaning that up used to require an engineer to run a script every time an account team needed a change. We identified the bottleneck and automated it, so account teams can manage dimensions themselves and engineering stays focused on product work.