Cisco Sets New Standard for Production-Grade Kubernetes, Enabling Enterprises to Deliver Innovation Faster with AppDynamics and Cisco CloudCenterWith AppDynamics for Kubernetes, enterprises will have full visibility into how Kubernetes-based applications impact customer experiences and business performance
With Cisco CloudCenter 4.9, organizations can now deploy and optimize Kubernetes-based applications across on-premises and multicloud environments
San Jose May 1, 2018 Cisco (NASDAQ: CSCO) today announced Kubernetes support for AppDynamics and Cisco CloudCenter , enabling enterprises to quickly and confidently adopt Kubernetes in production, and create and modernize their applications for the multicloud era. Now, enterprises can easily harness the value of Kubernetes to help deliver experiences that exceed their customers' expectations for scale, sophistication, and velocity.
Companies are rapidly adopting containers on the promise of increased application agility. Releasing application features rapidly is critical as customer expectations have never been higher for real-time, personalized, and seamless experiences at every interaction. Despite this promise, enterprises are finding there are challenges with unlocking the full value of containers as they move applications from development into production environments in data centers and the cloud. In fact, according to Gartner, By 2020, less than 20 percent of projects for containerizing legacy applications will be successful.
Together, Cisco CloudCenter 4.9 and AppDynamics for Kubernetes set a new standard for Kubernetes in production by allowing enterprises to seamlessly deploy, monitor, and optimize their Kubernetes-orchestrated applications both on-premises and in public cloud environments. Companies can use Cisco CloudCenter to deploy container-based applications with AppDynamics monitoring enabled on deployment. AppDynamics for Kubernetes can detect and report on dynamic conditions at the application or cluster level. Cisco CloudCenter can be triggered to optimize performance for seamless user experience until abnormalities are resolved. This helps IT operations staff adapt to the new production challenges of managing containerized applications in a dynamic Kubernetes environment.
The Kubernetes platform has emerged as the de-facto container solution as customers accelerate adoption of containerized application architectures, says Kip Compton, vice president, Cisco Cloud Platform and Solutions Group. But organizations are still challenged to efficiently and confidently utilize Kubernetes as they modernize legacy applications and develop new cloud applications. With our latest Kubernetes support, customers can now easily adopt production-grade Kubernetes across multicloud environments.
Unified monitoring for Kubernetes across multicloud environments
Kubernetes makes application deployment and operations more efficient, but organizations still struggle to gain visibility into Kubernetes performance and deployed applications to ensure flawless end-user experience. The new AppDynamics will give organizations the deepest visibility into application and business performance for unparalleled intelligence into containerized applications, Kubernetes clusters, and underlying infrastructure metrics. Enterprises will be able to:
Gain end-to-end visibility AppDynamics for Kubernetes will provide granular level details on application, Kubernetes and Docker container performance metrics. At the heart of it sits the AppDynamics Business Transaction comprised of the required services within an environment that are called upon to fulfill and deliver a response to a user-initiated request such as login, search, or checkout in a retail scenario. Business Transactions reflect the logical way users interact with applications. Powered by the Business Transaction, AppDynamics for Kubernetes can drastically reduce the time it takes to identify and troubleshoot performance issues across Kubernetes clusters on multicloud environments by intelligently filtering performance metrics based on Kubernetes labels. This Kubernetes-label filtering means IT operations teams no longer need to monitor thousands of threads executing a similar service.
Faster root cause analysis Traditional monitoring tools make it difficult to respond to poor user experiences due to alert storms caused by cascading microservice failures. By leveraging unique machine learning capabilities, AppDynamics for Kubernetes makes it simple to identify the root cause of a failure by baselining performance and intelligently alerting IT teams when problems occur.
Correlate Kubernetes performance with business metrics Tagged metrics correlate business metrics such as customer conversion rate, or end-user experience with the performance of applications on Kubernetes platform. Health rules and alerts based on business metrics provide intelligent validation so every code release drives business outcomes.
Cisco CloudCenter 4.9 Kubernetes support
The new Cisco CloudCenter 4.9 is a key element of the open, hybrid cloud offering from Cisco and Google, announced in October 2017 and planned for availability later this year. Customers will be able to run production-grade containers on any infrastructure through the combination of Cisco CloudCenter 4.9, Cisco Container Platform, and the Google Kubernetes Engine (GKE), part of the Google Cloud Platform (GCP).
For IT teams, running Kubernetes in production affects a range of existing virtual machine-based tools and operating processes on which IT relies to deliver services. As organizations transition to container-optimized IT operations, Cisco CloudCenter 4.9 enables organizations to create deployable blueprints that work across multicloud environments so customers can deploy and manage containerized and virtual machine-based wo
