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Cisco Sets New Standard for Production Grade Kubernetes, Enabling Enterprises to Confidently Deliver Technology Innovation Faster with AppDynamics and Cisco CloudCenter
May 01, 2018 By BlueAlly
Cisco Sets New Standard for Production-Grade Kubernetes, Enabling Enterprises to Deliver Innovation Faster with AppDynamics and Cisco CloudCenter With 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.
- Support hybrid application topologies: With Cisco CloudCenter 4.9, containerized workloads can be deployed to a Kubernetes cluster on premises or in the cloud. IT operations teams can also deploy a declarative blueprint that includes container-based services as well as virtual machine-based or cloud-based services to a hybrid mix of Kubernetes and traditional virtual machine or cloud environments.
- Empower developers without Kubernetes expertise: Cisco CloudCenter auto-generates the pod manifest file (YAML) specific to each deployment after the user selects the deployment environment. This approach avoids configuration parameters, and as a result keeps container workloads from getting locked into a single cloud. And it makes it easier for developers that aren’t proficient or interested in learning kubectl commands to tap the power of Kubernetes.
- Apply IT governance and controls to Kubernetes: Cisco CloudCenter cost and usage controls, as well as roles and permissions can be set to determine who can deploy what, when, and where in different pre-production and production Kubernetes environments. Kubernetes alone doesn’t provide these types of IT controls that are critical for running containers in production at scale.