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

AI-driven alert triage and root cause analysis (RCA) that proactively responds to production alerts

Watch AI transform alert management in real-time. This technical demonstration compares manual alert investigation with AI alert investigation. It shows how AI agents automatically investigate production alerts, correlate telemetry across distributed systems, and identify root cause, faster and with more insights than manual processes. Watch and learn how to shift your team from reactive firefighting to proactive system reliability management with agentic AI.

Using GreptimeDB as Prometheus Data Lake in Coroot

Coroot is excited to feature an editorial from the open source observability database GreptimeDB as an Open Source Spotlight. We hope to improve the work of our global community of SREs and DevOps professionals by sharing exciting projects like GreptimeDB, which make innovation accessible for everyone through the freedom of open source.

Getting started with Freshdesk dashboards

Freshdesk is a popular incident management system known for its ease of use, robust ticketing system, and powerful automation capabilities as part of the Freshworks suite of tools. While Freshdesk comes with native reporting and dashboards, they can be limited in terms of customization and data correlation across different sources. Additionally, building complex visualizations in Freshdesk often requires more advanced knowledge of their reporting tools. This is where SquaredUp comes in!

Common Unity errors and how to fix them

Unity has a reputation for handing out surprises: the play-mode freeze just after a hot-reload, the sudden sea of pink materials, or the stack trace that politely reminds you your transform was null all along. Rather than letting those moments derail the rest of your sprint, this post rounds up four of the most common runtime offenders, and shows you exactly how to trigger, spot, and fix each one.

Powering What's Next: ScienceLogic's Vision for Intelligent, Outcome-Driven IT

The observability market is changing rapidly. The days of simply collecting logs, metrics, and traces are giving way to something bigger: delivering actionable intelligence that actually connects IT operations with business goals. Organizations don’t just want to know what’s happening anymore; they need to understand why it’s happening, what actions to take, and whether their systems can respond independently.

Deletion protection in Grafana Cloud: a simple way to safeguard your observability stack

We’ve all had that “uh-oh” moment. You press Enter and your blood runs cold, as you realize you just deleted something critical. For engineering teams, this type of disaster takes many forms. For example, maybe you used a DELETE statement without a WHERE clause to delete a row in a database, and accidentally deleted all of them instead. To protect you from the accidental deletion of critical resources in Grafana Cloud, we’re introducing a feature called deletion protection.

How to build reliable and accurate synthetic tests for your mobile apps

Mobile applications offer increased flexibility to both users and developers. Users can access content on a wide range of devices, operating systems, and network types, while developers can leverage touch screens and orientation-based layouts to create more responsive features. However, all of these factors create new testing challenges. To ensure a good user experience (UX), developers have to test their apps across many device models and platforms, which can become costly and time-consuming.

Tracing asynchronous systems in your event-driven architecture: When to use parent-child vs. span links

Asynchronous communication patterns are commonly used in distributed systems, especially in those that rely on events or messages to coordinate activity. Rather than responding to direct API calls like in a traditional request-response architecture, services in an asynchronous system produce, route, or consume events and messages independently.

Keep an eye on remote access to your Kubernetes infrastructure with Datadog Workload Protection

To improve efficiency and reduce cloud spending, teams frequently schedule pods on Kubernetes nodes dynamically, based on available resources. However, this practice has also introduced a new security challenge: The workloads maintained by a development team are now spread between Kubernetes nodes, exposing more hosts and increasing the blast radius when user credentials are compromised.