Organizations are rapidly adopting endpoint detection and response software to address the challenge and strengthen their overall network infrastructure security. Why? In large part because endpoints are used by the weakest link in the cybersecurity chain (humans!) and therefore create business risk. Endpoint devices typically have internet access, can reach sensitive internal data, and are primarily used by people who aren’t cybersecurity professionals.

Monitoring with Graphite is often easier than with Prometheus because it uses a simple, hierarchical naming system that's intuitive to manage. Its storage model is also designed for long-term data retention without complex setups, which is perfect when historical data matters. By converting Prometheus metrics to Graphite, you streamline your monitoring to one consistent format, reducing the hassle of juggling multiple systems.

With this blog post, we continue our quarterly “What’s New” series to inform a broader audience about the latest features and improvements made to VictoriaMetrics Anomaly Detection (or simply vmanomaly). This post covers Q3'24 progress along with early Q4 to accommodate a slight shift in the publishing schedule — why not take advantage of it? Stay tuned for upcoming content on anomaly detection.

With the shift toward 5G and the forthcoming 6G evolution, Network Operations Centers (NOCs) are under increasing pressure to keep up with the complexities of modern telecommunications. At the heart of this evolution is the Radio Access Network (RAN), which has developed from supporting basic voice services to enabling the high-speed, low-latency networks essential for IoT, smart cities, and autonomous vehicles.

At Cribl, we’ve been deeply investing in the Microsft Azure security space. Last year, we introduced a native integration with Microsoft Sentinel, enabling us to write data seamlessly to native and custom tables. As highlighted earlier, working with Microsoft Sentinel and Log Analytics involves interacting with tables with predefined column names and data types.

Azure AI Search is Microsoft Azure’s managed search service. In addition to tackling traditional search use cases, Azure AI Search also includes AI-powered features to make it a fully capable document catalog, search engine, and vector database. AI Search is highly interoperable—it can use models created in Azure OpenAI Service, Azure AI Studio, or Azure ML.

As organizations increasingly turn to Kubernetes to support their cloud-native applications, it has become critical for teams to analyze and respond to the dense telemetry data related to this orchestration layer.

OpenAI and its offerings have become mission-critical for countless developers and organizations. This is why it's crucial to understand the platform's reliability as a core business enabler. One way to do so is to track the service status from the OpenAI status page. In this analysis, we review incident data from OpenAI's 2024 status updates, highlighting patterns and offering insights to help manage subsequent disruptions more effectively.

Sometimes, even when you’re running on a solid infrastructure like AWS EKS, a growing company needs to rethink how they manage it. One startup, fresh off a successful Series A raise, found themselves in just that situation. They had been running two EKS clusters — Production and Staging — managed entirely by their CTO, who is an experienced AWS power user.

As announced at FinOps X in June, VMware Tanzu CloudHealth has been working on one of the most significant updates to the platform in its history – an enhanced and modernized experience for our users. Since then, we have shared more details about how this new experience is designed with FinOps practitioners in mind and can power FinOps practices through the Inform, Optimize, and Operate phases throughout the FinOps Framework.