Operations | Monitoring | ITSM | DevOps | Cloud

In a world where IT complexity is accelerating, trust has never been more essential. At ScienceLogic, trust isn’t just a value—it’s our compass. It guides how we innovate, how we serve, and how we grow alongside our customers. That’s why we’re proud to share that ScienceLogic SL1 has once again been named a Top Rated product on TrustRadius—for the sixth consecutive year. This recognition is more than a milestone.

Code in production will break. Maybe a request takes too long, maybe it fails quietly, or maybe it works fine one minute and falls over the next. Logs can help, sure—but they don’t always show the full picture, especially when performance issues are involved. Elastic APM gives you a clearer view. It traces what your application is doing from incoming requests to database queries and everything in between.

Like many shoppers in the UK this week, I found myself staring at half-empty shelves in my local grocery store. In a small but frustrating twist, my usual sandwich, chicken mayo on malted bread, was nowhere to be found. The disruption wasn’t just about lunchtime preferences; it was part of a broader impact from cyberattacks that hit major UK retailers, including Co-op and Marks & Spencer.

Sentry’s auto-instrumentation, using BrowserTracing, is convenient. You can get interesting insights about your frontend application out-of-the-box, such as whether slow and failing API calls are hurting your user experience (summarized in Network Requests), or how your website stacks up against industry standards for performance (summarized in Web Vitals).

Getting paged pulls engineers away from meaningful work, yet incident response in many organizations remains manual, reactive, and draining. An alert fires and teams scramble to find the root cause, relying on siloed knowledge, incomplete context, and a few on-call experts who are already stretched thin. The rise of AI coding agents has only intensified this challenge: As teams ship code faster with less human oversight, production systems grow increasingly complex and harder to understand.

To efficiently optimize your LLM application before pushing to production, you need a comprehensive testing and evaluation framework. By running experiments, you can optimize prompts, fine-tune temperature and other key parameters, test complex agent architectures, and understand how your application may respond to atypical, complex, or adversarial inputs. However, it can be difficult to manage your experiment runs and aggregate the results for meaningful analysis.

Datadog’s Oracle Cloud Infrastructure integration enables you to collect metrics and logs from your entire OCI stack and monitor them within a single platform alongside other third-party technologies. Datadog’s new OCI QuickStart is a fully managed, single-flow setup experience that helps you monitor your OCI infrastructure and applications in just a few clicks.

VictoriaMetrics Cloud continues to evolve as the most efficient, scalable and open platform in the observability landscape. In our last Q1 update blogpost, we shared new features such as seamless OpenTelemetry integrations, new Organizations support, and improvements in the Explore UI and APIs. This time we wanted to take a minute to showcase how we’re taking the interoperability journey very seriously. Integrations in VictoriaMetrics Cloud Haven’t tried VictoriaMetrics Cloud yet?

As data systems grow more complex and data becomes even more business-critical, teams struggle to detect and resolve issues that impact data quality, reliability, and, ultimately, trust. Engineers have to rely on manual checks and ad hoc SQL queries to catch data quality issues—often after teams relying on the data have noticed something has gone wrong.

As your organization grows, you may operate in increasingly complex environments and manage more services and larger teams to maintain them. Evolution like this can lead to an explosion of telemetry data from across your stack, including metrics, traces, logs, and frontend interactions. The benefit of greater visibility is often outweighed by the challenge of acting on the data you collect, and you can easily fall behind on implementing the fixes your services require to operate reliably and efficiently.