Datadog announced an integration with Nessus from Tenable.
Dynatrace announced new enhancements to its support for Kubernetes.
The Dynatrace explainable AI engine, Davis, now automatically ingests additional Kubernetes events and metrics, enabling it to deliver precise answers in real time about performance issues and anomalies across the full stack of Kubernetes clusters, containers, and workloads. Dynatrace now also automatically discovers, instruments and maps heterogeneous container technologies within Kubernetes, making even the largest and most diverse containerized environments easier to deploy and manage, thereby simplifying IT’s journey to cloud-native environments.
“We reinvented Dynatrace specifically to support multi-cloud and microservices architectures, providing precise answers about the applications and infrastructure in these environments in real time and at scale,” said Steve Tack, SVP of Product Management at Dynatrace. “Our explainable AI engine, Davis, now automatically ingests additional Kubernetes metrics, making Dynatrace even smarter about clusters and containers. This distinguishes us as the only observability solution that provides precise answers about issues and anomalies across the full stack, from the platform to the workloads running on it. Ultimately, that’s what enables our customers to tackle the complexity inherent in Kubernetes environments with speed and efficiency.”
Key enhancements to the Dynatrace platform’s support for Kubernetes environments include:
- Precise, AI-powered answers – Davis has been enriched with the ability to ingest additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes. As a result, Dynatrace better understands all dependencies and relationships across the entire Kubernetes stack, from clusters to containers, and the workloads running inside. This further enables Dynatrace to provide full stack observability at scale, and deliver more precise, AI-powered answers to dramatically simplify Kubernetes roll-out and management.
- New cloud application and microservice analysis capabilities – With Dynatrace, organizations can now understand and optimize Kubernetes resource utilization, enabling administrators and application owners to identify and solve performance issues and improve business outcomes proactively.
- Extended automatic container instrumentation – Dynatrace now automatically discovers, instruments and maps heterogeneous container technologies within Kubernetes environments, including implementations based on Docker, CRI-O and containerd. This makes it easy to deploy and manage even the largest containerized environments. New container resource usage analysis also provides broader coverage for the range of container runtimes used by organizations.