Operations | Monitoring | ITSM | DevOps | Cloud

Incident Commander Role: Responsibilities and Best Practices

When a critical system goes down at 3 AM, the difference between a quick resolution and hours of costly downtime often comes down to one role: the incident commander. This person serves as the central coordinator during IT incidents, making crucial decisions that can save thousands of dollars per minute.

Vibe Coded Software Cybersecurity Risks and How To Respond

Generative AI has enabled anyone in any company to become a software creator, thereby creating a new generation of vibe-coded cybersecurity risks. The rise of "vibe coding" (building applications on the fly by describing what's needed in natural language) has introduced an entirely new class of security blind spots when these tools plug into your systems or are installed in your environment. Here's what vibe coding cybersecurity risks look like in your environment and what you need to do to stop them.

AI Agent Is Hitting Your APIs - Are You Ready?

It’s no longer theoretical – artificial intelligence has left research labs and entered production systems, generating a new breed of consumers – autonomous and intelligent agents. These autonomous AI agents are increasingly interacting with real-world APIs (application programming interfaces), which are sets of protocols and tools for building and integrating software applications.

Why Monitoring Heartbeat Events with PagerDuty AIOps is the Future of System Health Tracking

Organizations migrating from Opsgenie and other legacy incident management platforms are discovering that basic connectivity monitoring isn’t enough for modern operations. While Opsgenie Heartbeats and similar traditional heartbeat features offer simple binary status checks of system availability, PagerDuty’s AIOps-powered approach transforms system health monitoring from reactive alerting into intelligent, automated operational intelligence.

Selector MCP and the Future of Modular Automation

In the first two parts of this series, we explored why modern network operations demand intelligent automation and how AI agents can reason, act, and collaborate to solve complex problems. We examined the frameworks – such as ReACT, LangGraph, and Pydantic – that power these agents, and how the Model Context Protocol (MCP) facilitates seamless integration with tools and services. But theory alone doesn’t improve network uptime or reduce manual toil.

EU AI Act: what changes in August 2025 and how to prepare

‍ On August 2, 2025, a key part of the EU AI Act comes into force. It has serious implications for how you manage incidents related to artificial intelligence. ‍ While the full regulation will not apply until 2026, new obligations for providers of general-purpose AI (GPAI) models begin this summer. If you are building or deploying AI-powered services in Europe, the clock is ticking.

Jaeger Monitoring: Essential Metrics and Alerting for Production Tracing Systems

Your Jaeger setup is running. Traces are coming in, and the UI is helping you spot slow services or debug broken flows. But just like any part of your observability stack, Jaeger needs some basic monitoring to stay reliable. If the collector starts queueing spans or the agent runs out of buffer, it can lead to dropped traces, sometimes without any obvious sign in the UI. This blog focuses on the operational side of Jaeger.

SLF4J and Log4j - Understanding the Differences

Good logging isn’t optional when building Java applications—it’s critical. Logs are often the first place we turn to when something breaks and are essential for performance tuning, security audits, and long-term maintainability. Two names come up in the Java logging conversation: Simple Logging Facade for Java (SLF4J) and Log for Java (Log4j). They sound similar and often work together, but they serve distinct roles.