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Kublr, enterprise-grade Kubernetes -- logging and monitoring

Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability. We made it easy, so your team can focus on what really matters: innovation and value generation.

Multi-cluster Observability and Security with Linkerd and Kublr

Applications distributed on Kubernetes are quickly pushing the geographical and logical boundaries which are inherent to single clusters. As a result, Kubernetes users are growing their applications across multiple clusters. The open source community of the Linkerd service mesh has responded by enabling observability and security across clusters. Combined with Kublr's multi-cluster operations and observability capabilities you've got a powerful set of tools to deliver distributed applications.

Kublr, enterprise-grade Kubernetes -- an overview (short demo)

Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability. We made it easy, so your team can focus on what really matters: innovation and value generation.

Kublr, enterprise-grade Kubernetes -- an overview (short demo)

Centrally deploy, run, and manage Kubernetes clusters across all of your environments with a comprehensive container orchestration platform that finally delivers on the Kubernetes promise. Optimized for large enterprises, Kublr is designed to provide multi-cluster deployments and observability. We made it easy, so your team can focus on what really matters: innovation and value generation.

Implementing Canary Releases on Kubernetes with Spinnaker, Istio, and Prometheus

In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, the gradual rollout is a feature that doesn’t come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.

Kubernetes RBAC 101

Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.

How to Run Kubernetes in Restrictive Environments

Installing Kubernetes is easy. Ensuring it complies with your organization’s enterprise governance and security requirements isn't. During this webinar, Oleg will explain how to use Kubernetes while meeting enterprise requirements. In this technically-focused talk, he’ll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs.

Cloud abstraction, the often overlooked power of Kubernetes

What's Kubernetes? A container orchestrator. Yes, but there is a lot more to it. Well implemented, Kubernetes can function as an infrastructure abstraction running across clouds and data centers, creating a single pool of resources. Allowing enterprises to untie themselves from infrastructure provider-specific technology stack and free development to use whichever tool fits their needs best, almost sounds like IT nirvana!

Advanced Scheduling in Kubernetes

If you are wondering whether advanced scheduling in Kubernetes is achievable, the short answer is yes. There are some challenges, however. For instance, you'll need to accommodate every possible real-life scenario a Kubernetes user might encounter. Then, figure out how to leverage advanced scheduling techniques to shape and describe each scenario via simple rules and configurations.