Operations | Monitoring | ITSM | DevOps | Cloud

From Telemetry to Shared Understanding: Why Operations Teams Need Better Visual Incident Notes

Modern operations teams are rarely short on data. A production incident can generate thousands of log lines, multiple dashboards, traces across several services, deployment events, alerts, chat messages, and customer reports. The harder problem is turning that data into shared understanding quickly enough for people to act.

How AI Is Being Used to Fast-Track Patients in Healthcare

Healthcare systems are under growing pressure due to rising patient demand and limited clinical staff. To manage this, hospitals and clinics are increasingly using artificial intelligence to speed up patient flow and reduce waiting times. AI helps by automating triage, improving scheduling, and supporting clinicians with faster decision-making. The result is a more efficient system where patients can be assessed and treated sooner.

Five things your logs will never tell you

A customer escalation hit my queue when I was on the customer smoke jumpers team at an observability vendor. My team was the group that parachutes into Fortune 500 accounts one bad week from churning and usually after a big customer outage. The customer had filed a billing dispute three weeks earlier and their on-call engineers were stuck. They had our full stack: logs, metrics, traces, end-to-end instrumentation, every product we sold and some we didn’t. They could see the request came in.

New: Save time during incidents with incident templates

Creating incidents often means filling out the same information over and over again. That’s why we’ve added Incident Templates – a faster way to create incidents using pre-configured settings. With templates, you can save commonly used incident details and apply them with a single click whenever you need them.

Mirror, Cut Over, Move On: A Live Kafka Migration from Confluent to Aiven

Kafka migrations get talked about like they're impossible. They aren't. They're a sequence of decisions, preparations, and good compromises - plus a working playbook. In this session, Dirk runs a real Confluent Cloud-to-Aiven migration live. Top to bottom: target Kafka cluster deployment, MirrorMaker 2 setup, replication flow and offset handling, and a staged cutover that keeps producer and consumer downtime to almost zero.