Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

Application Experience - Amplifying Observability for Today's Experiential World

Nexthink’s industry-leading Experience 24 Events in Boston and London brought together over 1000 IT professionals dedicated to accelerating the value of strategic adoption of DEX. A hot topic was the growing recognition that traditional Observability solutions (APM’s and other high-cardinality technology monitoring solutions) while necessary, are insufficient to solve the full, end-to-end visibility of how employees are experiencing the totality of their web applications.

Integrating Gremlin with your observability tools

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. To get the most value out of Chaos Engineering and reliability testing, you need a way to observe your service’s behavior. Observability tools offer insight into how your systems are performing, but observability on its own isn’t enough. You need a way to monitor your systems while testing their reliability so you can determine whether your service passed or failed a test.

Close Your Hybrid IT Observability Gap SolarWinds Observability SaaS or Self Hosted Solutions

As technology evolves, organizations face the challenge of modernizing their infrastructure to improve efficiency, reduce costs, and meet customer demands. But with hybrid IT setups—combining on-premises data centers, multiple cloud instances, and SaaS applications—most observability tools force compromises. The result? Gaps that impact performance, slow down issue resolution, hurt customer satisfaction, and reduce ROI.

Get complete Kubernetes observability by monitoring your CRDs with Datadog Container Monitoring

Custom resources are critical components in Kubernetes production environments. They enable users to tailor Kubernetes resources to their specific applications or infrastructure needs, automate processes through operators, simplify the management of complex applications, and integrate with non-native applications such as Kafka and Elasticsearch.

How Generative AI Can Prevent Downtime with AI-Powered Observability

Generative AI (GenAI) is still in its infancy, but its impact is already being felt across industries. Over the past year, production applications leveraging GenAI have gone from proof-of-concept to delivering real-world value. According to the World Economic Forum, 75% of surveyed companies plan to adopt AI technologies by 2027. Leading cloud providers like AWS are making significant investments.

140x cheaper than Datadog: why storing observability data on-prem makes sense

I’ve heard this story many times from production engineers: ‘We use tools like Datadog and NewRelic, but to keep costs from skyrocketing, we’re only monitoring our most critical services. We’re storing just 10% of our logs and traces and only the metrics we consider essential. It’s a frustrating situation. Engineers want full visibility across their systems, but cloud storage costs make it impossible to monitor everything.