Today at the Perform 2020 conference, Dynatrace announced the next generation of its Infrastructure Monitoring module in its all-in-one Software Intelligence Platform. The latest generation platform will include upgrades such as enhanced AI, expanded out-of-the-box observability and the ability to create custom metrics from log events. The company has also announced expanded support for Kubernetes with its explainable AI engine, Davis, now automatically ingesting 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.
Over the past few years, many companies have moved away from traditional data centers to some form of hybrid and/or multi-cloud approach. A majority of companies are also leveraging microservices. The above being the case, it is becoming more and more difficult to leverage existing monitoring tools. This leads many companies to develop their own tools that can introduce a slew of issues. Dynatrace has made enhancements to its Infrastructure Monitoring module to address the above.
New enhancements to the Dynatrace Infrastructure Monitoring module include:
Containers have really taken off in the last several years. Over two-thirds of organizations use some form of containers and we can only expect that number to grow. Kubernetes is a container orchestration system that has outpaced all the others and is by far the favorite. As Kubernetes become more omnipresent the ability to manage them or simply use a dashboard to see some metrics may become difficult. Piggy-backing on the above. Dynatrace has enhanced its platform to add further support to Kubernetes while making the full-stack observable and adding AI to the platform.
Key enhancements to the Dynatrace platform’s support for Kubernetes environments include:
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