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EU Data Act Compliance for Cloud and DevOps Teams: What Changes You Need to Make Before the Deadline

If you have been staying updated on trends, you already know that the EU data act is actually very quickly turning into one of the most important regulations for companies that manage business data and customers in Europe. Understandably, many companies have already been adjusting to privacy laws over the past few years. However, this new regulation has brought on different challenges.

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.

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.

Introducing Kepler | GitKraken's Agentic Development Environment (ADE)

Kepler is GitKraken's agentic development environment: mission control for running parallel coding agents at scale. Running one agent is easy. Running five of them across three repos is where things break: scattered terminals, no shared view, no idea what's done or stuck. Kepler puts every agent session on one surface so you can plan work, write code, and review what ships without losing track of anything.