Generative AI has emerged as a powerful force for synthesizing new content—text, images, even music—with astounding proficiency. However, monitoring, optimizing, and maintaining the health of these complex AI systems is challenging, and traditional observability tools are struggling to keep pace. At Grafana Labs, we believe that every data point tells a story, and every story needs a capable narrator.

Have you heard about DORA in the past few months? That’s the Digital Operational Resilience Act, not DevOps Research and Assessment (DORA) on this occasion, which has been gathering pace and attention as the deadline for implementation approaches.

Today I’ll give a brief overview on monitoring and troubleshooting Nerdio, a.NET application, popular with MSPs (Managed Service Providers) and enterprises using Microsoft Azure Virtual Desktop (AVD). Nerdio is a cloud-based application used by administrators to automate the deployment and management of virtual desktops in Azure.

The landscape of enterprise networking has undergone tremendous change in recent years. Widespread adoption of software-defined networking (SDN), the proliferation of multi-cloud environments, the rise of edge computing, and the implementation of zero-trust security models have collectively reshaped network architectures. While these trends bring unprecedented flexibility and scalability, they have also exponentially increased complexity.

In today’s digital environments, slow is the new down. As users continue to grow increasingly accustomed to rapid response—and less willing to wait—slow application performance continues to be highly problematic for organizations. While downtime of major services can make headlines, it is more often slow performance that hurts businesses, ultimately stifling productivity and profits.

Learn how to transform your network efficiency and interoperability, all from a single interface. As networks expand and automation becomes the norm, API usage has exploded; in today’s digital landscape, 90% of developers are now utilizing APIs. APIs are no longer just technical constructs, confined to the dark corners of software engineers – they’re now the lifeblood of many companies. API tools allow you to connect to diverse data sources, supporting interoperability and innovation.

As of 2024, 89% of organizations are using a multi-cloud strategy. Among the reasons for this shift are avoiding vendor lock-in and achieving scalability and cost-effectiveness. Yet, maximizing the value of investments in multi-cloud environments is a major challenge. That’s where multi-cloud FinOps solutions like Ternary come in — or, as you’ll see in this guide, where the top Ternary alternatives can take the lead.

Let’s be real, we’ve never been huge fans of conventional unstructured logs at Honeycomb. From the very start, we’ve emitted from our own codestructured wide events and distributed traces with well-formed schemas. Fortunately (because it avoids reinventing the wheel) and unfortunately (because it doesn’t adhere to our standards for observability) for us, not all the software we run is written by us.

Our new Cribl Search Packs give you a framework for packaging, sharing, and installing config bundles that align with a given data source or use case. Similar in concept to our original Cribl Stream Packs framework, Cribl Search Packs help users find value in their datasets more quickly across common use cases. In fact, Stream Pack users were a powerful driver in the development of Search Packs.

Logs are a rich source of information, providing you with the minute details you need to troubleshoot a specific issue or perform extensive historical analysis. But with billions of logs being generated from your infrastructure every day, it isn’t practical to sift through them all to derive actionable insights. Firewall, CDN, network activity, and load balancer logs are especially high volume, requiring storage solutions that can be expensive and difficult to scale.