NGINX vulnerability: Quickly detect and mitigate IngressNightmare vulnerabilities with Dynatrace
Quickly find and mitigate the IngressNightmare vulnerabilities affecting Kubernetes clusters with Dynatrace.
Engineering Blog: Cloud-native
Tutorials, tips and resources for engineers on cloud technologies and observability
Observability as Code: DIY with Crossplane
Observability as Code: DIY with Crossplane
Extension management made simple with the new Dynatrace Extensions
Simplified extension management with Dynatrace Extensions
Cloud native
Enhance efficiency and compliance with automated AWS tag change triggers: A step-by-step guide
Learn how to trigger Guardians whenever Amazon AWS EC2 tags change. Streamline AWS automation for better reliability and efficiency at scale.
Observability as Code: DIY with Crossplane
Observability as Code: DIY with Crossplane
Build systems more reliably with Dynatrace: Chaos Engineering
Learn about the Reliability metric, which measures modern operational practices.
The 3 biggest Kubernetes deployment mistakes you can make
Learn about all the things that can go wrong when moving to Kubernetes—and how to avoid the mistakes that lead to such problems.
OpenShift vs. Kubernetes: Understanding the differences
Navigate the nuances between OpenShift and Kubernetes, understanding their strengths, use cases, and deployment considerations.
Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically
Dive into effective troubleshooting techniques for Kubernetes workloads using metrics, logs, and traces; empower DevOps teams to maintain robust apps.
Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2
Dynatrace now supports AWS Lambda functions on Graviton2 processors, enhancing serverless performance monitoring and optimization.
How to collect Prometheus metrics in Dynatrace
Explore seamless integration for gathering Prometheus metrics within Dynatrace, enabling comprehensive observability and performance monitoring.
Kubernetes workload troubleshooting with metrics, logs, and traces
Dive into effective troubleshooting techniques for Kubernetes workloads using metrics, logs, and traces; empower DevOps teams to maintain robust apps.