AWS CloudWatch is a widely used observability tool that comes built into AWS. It provides easy access to logs, metrics, and alarms, making it a convenient choice for teams monitoring AWS workloads. But while CloudWatch offers a lot of power, many teams unknowingly misconfigure or misuse it, leading to unexpected costs, limited visibility, and operational challenges. Here are some common pitfalls we see—and how to avoid them.

As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.

We’re excited to announce a series of upgrades to our AI Agent, Log Management Explore UI and core integrations designed to empower you with even deeper observability and streamlined operations. These updates enhance account visibility, multi-telemetry trace insights, and logging capabilities while ensuring seamless compatibility with OpenTelemetry. Read on to discover how these enhancements can help you gain more clarity and control over your environment.

According to the 2024 Logz.io Observability Pulse Survey, 91% of respondents said they’re actively looking for ways to reduce observability costs, and 50% want better visibility into their monitoring expenses.