Cisco Full-Stack Observability is a strategic investment that outshines Dynatrace by incorporating AI-driven insights, full-stack visibility, and a future-proof design that adapts to your evolving business needs. Application experience is the heart of your digital business, so choosing the right observability platform is not just a technical decision — it’s strategic.

StackState had a blast at this year's KubeCon + CloudNativeCon gathering in Paris! The discussions were in-depth, covering a wide array of topics and lasting much longer than in the past. This year, attendees seemed to have a considerably deeper understanding of the cloud-native ecosystem, probably attributed to its rapid growth. We also noticed a pretty dramatic evolutionary shift in the vendors at the expo hall, who were showcasing some truly progressive specialized solutions.

The concept of observability has become a cornerstone for ensuring system reliability and efficiency in modern software engineering and operations. Observability, beyond its traditional scope of logging, monitoring, and tracing, can be intricately defined through the lens of incident response efficiency—specifically by examining the time it takes for teams to grasp the full context and background of a technical incident.

Kubernetes has changed the way many organizations approach the deployment of their applications. But despite its benefits, the additional layers of abstraction and reams of data can cause complexity around Kubernetes monitoring. We’ve seen so much of these challenges borne out in the results of the 2024 Observability Pulse survey. In the survey report, 36% of respondents say Kubernetes poses a challenge, and just 10% of organizations say they have full observability into their environments.

The Uptrace team is pleased to present the latest v1.7 release, which introduces dark mode, revamped navigation, dashboards list, system tracing metrics, and much more.

Observability has emerged as a distinct approach within the broader scope of IT management, enabling organizations to gain valuable insights into their complex IT ecosystems. By collecting and analyzing data from various sources, observability provides a holistic understanding of system behavior and performance, streamlining troubleshooting and optimization efforts.

Microsoft Azure provides an array of managed services to support many aspects of cloud computing, including application development, workload migration, and data management. To help you monitor the health and performance of these services, Datadog offers integrations with more than 40 Azure services, including Azure Kubernetes Service (AKS), Cosmos DB, and Azure App Services. Each integration provides robust data visualizations, meaningful alerts, and one-click Datadog Agent deployment.