Operations | Monitoring | ITSM | DevOps | Cloud

The request timed out after five seconds. The application said context deadline exceeded. The dependency was healthy, its dashboards were green, and its own latency histogram showed nothing above 30 milliseconds.

Long before dashboards and decibel-loud alerts, there were watchtowers. Every kingdom worth its salt had them, men perched on hills, lighting fires to signal the moment they spotted something suspicious on the horizon. It was, in its time, a fine system. The trouble was that watchmen, being human, occasionally mistook a herd of cattle for an invading army, or a dust storm for smoke, and lit their fires anyway.

Synthetic monitoring has been a critical part of application reliability for years. It gives engineering and operations teams a way to proactively test applications, APIs, and critical customer journeys before users encounter problems. But there is a fundamental limitation with the traditional approach: Someone has to create the tests. As applications become more distributed and customer journeys become more complex, organizations can end up maintaining hundreds or even thousands of synthetic scripts.

Visualize branches and commits, manage parallel work and agents, and run your entire Git workflow from one view. AI changed how code gets written. It also changed what developers spend their time doing. Today, developers are reviewing AI-generated changes, coordinating parallel work across branches and worktrees, cleaning up commit history, resolving conflicts, and getting everything ready to merge.

Most companies will tell you they’re customer-obsessed. Fewer can point to the actual mechanism. At GitKraken, it isn’t a quarterly survey or a roadmap council. It’s a Slack channel where developers vent about their Git workflow, and the desktop team is already in there reading it.

AI agents are only as effective as the context they can access. The problem is that most of that context lives outside your observability platform.

Summary A new async Rust client for InfluxDB. Built for the edge gateways, embedded systems, and high-throughput ingest pipelines where Rust already runs. Table of Contents Time series data shows up wherever the physical world meets software. A satellite constellation streams altitude, power, and thermal telemetry from every spacecraft on every pass. A factory floor running on Industry 4.0 principles instruments every line, every motor, every batch.

You may be familiar with web card skimming, where a fraudster replaces the payment iframe on an ecommerce site with a fake version designed to intercept payment details or divert a transaction. However, there’s another variation that, while not new, is something we encounter far less often. It was highlighted this week during a call from an ecommerce vendor: redirection fraud. In this scenario, the attack starts much earlier in the customer journey.