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AppDynamics and Cisco Announce Kubernetes Support

Cisco 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” (Four Key Container Deployment Considerations for I&O Leaders; February 2018).

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, VP, 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 ofthe 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.

- Accelerate 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 workloads on premises and in the cloud.Cisco CloudCenter 4.9enables customers to:

- 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 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.

Cisco CloudCenter 4.9 is available now.

AppDynamics for Kubernetes will be available by May 9.

Cisco CloudCenter and AppDynamics can be purchased as standalone subscription-based software offers, or bundled together through the Cisco Multicloud Portfolio as Cloud Consume. They also are available with Cisco HyperFlex through Cisco SmartPlay bundles.

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AppDynamics and Cisco Announce Kubernetes Support

Cisco 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” (Four Key Container Deployment Considerations for I&O Leaders; February 2018).

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, VP, 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 ofthe 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.

- Accelerate 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 workloads on premises and in the cloud.Cisco CloudCenter 4.9enables customers to:

- 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 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.

Cisco CloudCenter 4.9 is available now.

AppDynamics for Kubernetes will be available by May 9.

Cisco CloudCenter and AppDynamics can be purchased as standalone subscription-based software offers, or bundled together through the Cisco Multicloud Portfolio as Cloud Consume. They also are available with Cisco HyperFlex through Cisco SmartPlay bundles.

The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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