Operations | Monitoring | ITSM | DevOps | Cloud

Elastic Security is making your organization safer with general availability of our favorite AI features. Elastic Security is announcing the general availability (GA) of two of our most widely deployed generative artificial intelligence (GenAI) capabilities: Attack Discovery, launched in May, and Automatic Import, launched in August. Elastic’s AI-driven security analytics are providing immense value to many organizations.

For years, organizations have used the term “observability” as an evolution of monitoring, a discipline practiced by operations teams to understand whether production software was working. I’ve been annoyed by this—not because it’s philosophically wrong, but because it diminishes the importance of observability as a generalized software engineering practice.

Broadcom continues to expand the capabilities of AppNeta by Broadcom, offering ongoing enhancements in features and value. With the introduction of TCP protocol support, users can now achieve more streamlined setup processes and deeper visibility into modern network paths. These enhancements help eliminate blind spots and improve monitoring accuracy across complex network environments. Review this post to learn more about these valuable new capabilities.

Sometimes silence isn’t golden; it’s a red flag. Whether you’re monitoring IoT sensors, system logs, or application metrics, missing data can be just as critical as abnormal data. Without visibility into these gaps, you risk overlooking potential failures, security threats, or operational inefficiencies. In time series workflows, detecting silence is often the first sign of trouble—whether it’s a network issue, device failure, sensor failure, or stalled process.

If you're working in infrastructure or operations and looking to build reliable APIs, FastAPI might be the Python framework you need. This guide will help you understand how FastAPI can fit into your automation workflows and get you started with practical examples.

Monitoring and observability are cornerstones of modern infrastructure management. Three popular solutions that often come up in this space are the ELK Stack, Grafana, and Prometheus. This comparison breaks down the key differences, use cases, and integration capabilities to help you determine which tool or combination better suits your operational needs.

In today’s evolving cloud-native landscape, having a reliable monitoring and observability setup is essential for maintaining application health and performance. Two widely used solutions, Amazon CloudWatch and the ELK Stack (Elasticsearch, Logstash, and Kibana) offer powerful capabilities for log management, metrics, and alerting. But each serves different needs and environments.

Healthcare organizations are increasingly leading the charge in technology adoption, rapidly deploying advanced applications and digital tools to improve patient outcomes and operational efficiency. However, this acceleration is placing unprecedented pressure on existing IT infrastructure. Teams are being asked to support next-generation workloads, such as AI-powered diagnostics and real-time data platforms, on legacy systems, often without the benefit of increased budget or headcount.

System outages cost businesses an average of $5,600 per minute, according to Gartner. That's over $300,000 per hour of downtime. But beyond the financial impact, downtime destroys customer trust, damages your reputation, and creates a backlog of urgent work for your already busy technical teams. The key to minimizing downtime? A robust DevOps alert management system that notifies you of issues before they become full-blown disasters.