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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How to Monitor Database Backups and Get Alerted When One Fails

To monitor a database backup, make the backup script check its own output (exit code, file size, a table you know must be there) and ping a heartbeat URL only when all of it passed. If that ping does not arrive on schedule, you get an alert. A backup that failed, wrote an empty file, hung, or never started all look the same from the outside: no success ping.

How to Monitor Celery Beat and Catch Missed Periodic Tasks

To monitor Celery beat, give each periodic task its own heartbeat URL and ping it from the worker when the task succeeds, with a task_success signal handler. If beat is down, the message sits in a queue no worker reads, or the task raises, the ping does not arrive and you get an alert. The trap is that beat only publishes messages: its log prints Sending due task on schedule whether or not anything ever runs the task.

7 Best Network Sniffing Tools for 2026

Ever wondered what is actually using your network when it suddenly slows down? It could be a device sending too much data, a backup running at the wrong time, or an application taking too long to respond. Without visibility into network traffic, finding the real cause can take hours. That’s where network sniffing tools can help. They let you inspect network traffic, capture packets, and see what is happening between devices, servers, and applications.

7 Best SQL Server Monitoring Tools for 2026

A slow query can affect an application before the database team knows what is causing it. A blocked session, failed job, or growing database file can create more problems if no one spots it early. That’s where SQL Server monitoring tools come in. They help you track database performance, find slow queries, monitor waits and locks, and see what changed before a problem occurred.

Manage your OpenTelemetry Collectors with Fleet Management in Grafana Cloud

If you’ve built your telemetry pipelines around OpenTelemetry Collectors, you’ve already invested in a collector distribution, YAML configuration, and a deployment model that fits your infrastructure. As that deployment grows, managing it means keeping shared configuration consistent, accommodating different workloads, and understanding whether your collectors are healthy. Fleet Management in Grafana Cloud brings those tasks together in one place.

Debug Production at the Speed of AI

Your coding agent can debug production issues now. Yes… Not just “help you debug.” Actually run the investigation… FOR YOU! In this new era of agentic development, speed matters. And in the old days (you know… last week or so) we used to investigate production bugs ourselves. Manually. Like humans. But for a lot of incidents, we don’t need to do all of that anymore.

Generative AI in Banking: Balancing innovation, risk, and operational readiness

Generative AI (GenAI) is moving quickly into banking. According to a 2025 survey by McKinsey, 52% of financial institutions surveyed already consider GenAI a priority, while another 39% are interested but have not yet made it a top priority. As adoption grows, banks need to think carefully about what AI agents can access, which identities it uses, what actions it can take, and whether those activities can be traced when something goes wrong.

Seer Agent: Get Answers. Take Action.

This video walks through what it looks like to treat Sentry's Seer agent the way you already treat a chatbot, asking it plain language questions about your own production application. From Slack or inside your Sentry account, Seer Agent can answer questions with real context: the affected spans, the recent release, the likely cause. Seer doesn't stop at answering questions. Ask it to act on what it just told you and it completes that work inside Sentry, serving as an assistant to your projects, team workflows, and your future self.

Governing AI Agents From the Inside: What We Learned Building AgentIQ

When every employee is building AI agents, seeing what they did afterward isn't enough. AgentIQ's in-flow governance runs inside the agent's execution flow—pausing for human approval, enforcing policies by value, masking PII, and stopping runaway agents before costs spiral.