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For many teams, 2024 was the year of asking, “can OpenTelemetry do this?” In 2025, the community answered with a resounding “yes,” moving beyond experimentation to focus on what matters most in practice: stability, ease of use, and cross-project compatibility. That momentum now sets the stage for what’s to come for OpenTelemetry in 2026.

A typical ITOps day is consumed by manual triage, fragmented context, and coordination work that expands with scale and slows every incident. Your day begins with alerts that arrived overnight. The symptoms are partial and the blast radius is unclear, so the first task is not remediation; it is figuring out what is real, what is related, and what matters. Next, a ticket comes in with a brief description and no evidence. Ownership is unclear.

Errors get a bad rap, but they’re just trying to help. Remember, errors aren’t the enemy, they’re the messenger. Conventional wisdom tells you to think of errors as failures, as things that thwart progress and frustrate developers. The reality is that errors are actually there to help you. They prevent you from shipping broken code to production. They stop your application from continuing to operate incorrectly and costing you money.

Logs are often the first place dev teams look when they investigate an issue. But logs are often added as an afterthought, and developers struggle with the balance of logging too much or too little. As a seasoned developer, you may remember a time when you were asked to investigate an issue and then handed a 200 MB plaintext log file. Three hours and four Python scripts later, you would realize that the problem was in a different component.

This is blog 2 in our New Year, New Resolution Series on OTel migrations. Read the first post, "New Year, New Telemetry: Resolve to Stop Breaking Dashboards", here. Most New Year’s resolutions fail because they require a "big bang" change. If your 2026 mandate is to migrate to OpenTelemetry (OTel), the traditional approach is the definition of friction.

This post covers ~80% of VictoriaLogs concepts and features people ask about most often. For deeper details and full references, see the official VictoriaLogs documentation. Part of a series.

Latest updates, insights, events, and more regarding Microsoft SCOM, and Azure Monitor.

More than half of all connections to web services now originate from mobile devices. Mobile apps are no longer peripheral - they are central to how businesses engage customers, deliver services, and generate revenue. Despite this shift, many organizations still rely on observability tools that are fundamentally server-centric. These platforms are adept at monitoring backend health, but they often fail to capture what’s happening at the edge - on the mobile device itself.

The IT landscape has evolved rapidly, transitioning from monolithic applications to complex, distributed system architectures comprising microservices that run on platforms like Kubernetes. With this added complexity, simply checking if a server is running is no longer sufficient. As IT professionals, we need insight into what’s really happening inside these systems. That’s where observability comes in.

Automation revealed truth. AI learned to reason from it. Now, systems are beginning to understand themselves. The self-aware enterprise isn’t a vision of autonomy. It’s a model of awareness. It sees, understands, and acts with precision based on verified knowledge of how it operates. This is the next evolution of intelligence in IT. Not artificial. Not imagined. Built.