Kubernetes is one of the most complex IT platforms ever built. Now that fleets of Kubernetes clusters are being deployed in enterprise IT environments, the need to make management easier has become much more urgent. IT teams are now looking for management frameworks that will enable IT administrators to use graphical tools to manage Kubernetes clusters at scale alongside DevOps professionals. The management of Kubernetes clusters is about to become the next great IT team sport.

This panel will discuss the opportunities and challenges faced as enterprise organizations increasingly turn to Kubernetes in their environments.

  • What management frameworks are out there, and how can you best use them? 
  • How can IT and DevOps professionals best work together to make sure enterprises can create value with their Kubernetes cluster deployments?
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Microservices architectures can be a game-changer for business agility and incremental application modernization. The pandemic has accelerated the motivation to replatform legacy apps as cloud-native microservices; however, so have the challenges as modern applications need to respond in real-time. According to IDC’s InfoBrief “The Impact of Application Modernization on the Data Layer”, 89% of the 300 North American enterprises surveyed are already using microservices and 66% leveraged Kubernetes. That might all sound great for microservices but the same enterprises also said microservices only accounted for 17% of their application portfolio due to a litany of data management issues when deploying at scale.
 
 Join us as we explore how Redis Enterprise real-time data platform helps navigate the trade-offs and complexities of deploying at scale including a demonstration of a retail-banking microservices deployment using the Redis Enterprise Operator for Kubernetes on Red Hat OpenShift.
 
 Key Takeaways:
  • Learn best practices for building microservices leveraging a real-time data layer
  • How DevOps teams can easily manage, administer and deploy Redis clusters on Kubernetes
  • The key capabilities of cloud-native Redis Enterprise that make it the ideal data platform for real-time microservices-based applications
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The cloud and containerization have revolutionized the way organizations develop, deploy and monitor applications; however, they are not a panacea. Most technology environments are highly complex and contain a variety of virtualized workloads, multiple clouds and on-premises infrastructure and multiple container technologies.

On this webinar, Techstrong Research analysts will share findings from a newly released PulseMeter on managing Kubernetes infrastructure, the shift to the cloud and drivers for keeping some workloads on-premises. In addition, Shaun O’Meara, Global Field CTO at Mirantis, will be joining the webinar to discuss the business and technical challenges around Kubernetes and cloud migration that he observes when he works with clients.

During this webinar we will discuss:

  • Challenges of moving to a public cloud
  • More efficiently managing your Kubernetes infrastructure
  • Drivers to keep some workloads on-premises
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Lightweight distributions of Kubernetes are now at the forefront of edge computing, as more organizations push workloads closer to the data being generated by applications and devices. Kubernetes enables organizations to run containers at the edge to maximize resources and make testing easier, and offer the ability for DevOps teams to move faster and more effectively.

This topic spotlight highlights the growing use of Kubernetes at the edge, focusing on what organizations need to know from a platform, networking and infrastructure perspective.

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The 2023 Kubernetes Benchmark Report is out! Join us as we review the results of over 150,000 scanned workloads to learn what’s working and what needs to be improved. Join to see how you compare and get advice on what you need to do, and what you don’t need to do.
 
Key Takeaways:
  • Benchmark yourself against others
  • See what you are doing well and what you need to improve
  • Get past issues that may be limiting your ability to gain the full value of Kubernetes.
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