Operations | Monitoring | ITSM | DevOps | Cloud

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

Tech Talk | Application management with Targeted Application Install for Victoria Experience

Apps create endless opportunities to leverage the strengths of the Splunk Cloud platform. Until now, you could only install Splunk apps across every search head on a Splunk Cloud Platform Victoria Experience deployment. With TAI you now have fine-grained control over which search head groups will run which apps.

System Datasets: From Alert Fatigue to Optimized Notifications

Alert fatigue rarely begins as a single mistake. It grows as systems scale, teams grow, and “just in case” monitoring becomes the default. A few extra alerts, another threshold, and soon the on-call channel becomes overwhelmed. Engineers get interrupted for noise or stop trusting pages; either way, real signals get missed. Reliability drops, and productivity quietly declines. Most teams respond tactically: tune thresholds, change notifications, suppress noise.
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Fabrix.ai at Cisco Live 2026 Amsterdam

This post highlights the biggest Cisco AI Summit takeaways that came up again and again in Cisco Live conversations, and what they mean for teams operating AI in production. If you are following the broader AgentOps movement and the rise of agentic workflows, Fabrix.ai’s point of view is grounded in a core idea: AI agents create value only when they can be operated safely and consistently. A good starting point is here: Fabrix.ai’s approach to agentic.
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What is a Real-Time Data Lake?

A data lake is a centralized data repository where structured, semi-structured, and unstructured data from a variety of sources can be stored in their raw format. Data lakes help eliminate data silos by acting as a single landing zone for data from multiple sources. But what's the difference between a traditional data lake and a real-time data lake? Some traditional data lakes use batch processing, which involves processing and analyzing a collection of data that has been stored over a specific timeframe. For example, payroll and billing systems that are handled on a weekly or monthly basis might use batch processing.

Behind the magic of auto-instrumentation (Grafana OpenTelemetry Community Call)

You add the OpenTelemetry Java agent, restart your app - and like magic, observability appears. But is it really magic? What’s actually enabled by default? What telemetry should you expect to see? What’s missing? And what might you want to tweak, tune, or even turn off?

IT Cost Optimization Strategy: Eliminating Guesswork with Observability

IT organizations are being asked to reduce costs, manage risk, and maintain performance at the same time. Meanwhile, infrastructure complexity continues to grow, and vendor pricing changes are reshaping budget assumptions. Too often, an IT cost optimization strategy is shaped by incomplete data around sizing, licensing, refresh timing, and platform decisions. That uncertainty leads to overprovisioning, budget surprises, and reactive operations. Observability changes that equation.

How Fabrix.ai Agents Ensure Data Privacy & Security

As Agentic AI moves into enterprise environments, IT and security leaders face a critical challenge on how to leverage advanced LLMs without exposing sensitive data, intellectual property, or proprietary configurations to the cloud. You cannot build a self-driving, autonomous IT infrastructure if your security team blocks the deployment, and that’s exactly why the Fabrix.ai platform features an Enterprise-Grade LLM Integration architecture anchored by our built-in Data Security layer.

Shopify outage on February 15, 2026

On February 15, 2026, Shopify experienced a widespread service disruption that impacted merchants and shoppers around the world. While the provider did not acknowledge the issue until 15:36 UTC, StatusGator’s Early Warning Signals detected unusual activity and alerted customers at 15:00 UTC, just minutes after the first outage reports began coming in. This incident highlights the importance of independent, real time monitoring.