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Kublr - Ops Friendly. Enterprise Ready.

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  • Application Deployments with Kubernetes
    Application Deployments with Kubernetes Slava Koltovich, CEO Kublr Recorded: Jun 27 2018 62 mins
    Kubernetes ensures your deployed applications are always available to users. But how do you deploy applications in Kubernetes without user/service interruptions? Should you write your own scripts using low-level Kubernetes objects, package everything in Helm, or use specific CI/CD tools? There isn’t a clear-cut answer; it always depends.

    In this online meetup, Slava Koltovich, CEO of Kublr, will discuss various application deployment options and demonstrate how tools like Spinnaker, Istio, and Jenkins can be used to implement blue-green or canary deployments to ensure zero-downtime application rollout.
  • Kubernetes, Data Science, and Machine Learning
    Kubernetes, Data Science, and Machine Learning Oleg Chunikhin, CTO Kublr, Vlad Penkin, Recorded: May 23 2018 40 mins
    Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open source community. During this meetup we’ll discuss the growing use of Kubernetes for data science and machine learning workloads. We’ll examine how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We’ll demo a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform.
  • Implement Advanced Scheduling Techniques in Kubernetes
    Implement Advanced Scheduling Techniques in Kubernetes Oleg Chunikhin, CTO at Kublr Recorded: Mar 7 2018 53 mins
    Is advanced scheduling in Kubernetes achievable? Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations?

    Oleg Chunikhin answers those questions and demonstrate techniques for implementing advanced scheduling. For example, using spot instances and cost-effective resources on AWS, coupled with the ability to deliver a minimum set of functionalities that cover the majority of needs – without configuration complexity. You’ll get a run-down of the pitfalls and things to keep in mind for this route.

    SPEAKER: Oleg Chunikhin, CTO at Kublr, has been working in the field of software architecture and development for nearly 20 years. He joined Kublr in 2017, as he specializes in DevOps technologies including Kubernetes, Docker, and Puppet. Oleg has successfully defined Kublr’s technology strategy and innovative standards, tools, technologies, and processes.
  • Dev How You Want. Run Where You Want: Application Portability with Kubernetes
    Dev How You Want. Run Where You Want: Application Portability with Kubernetes Oleg Chunikhin, CTO at Kublr Recorded: Jan 25 2018 57 mins
    Containers and Kubernetes allow for code portability across on-premise VMs, bare metal or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this online meetup Oleg Chunikhin, CTO at Kublr, describes best practices for “configuration as code” in a Kubernetes environment. He demonstrates how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules and services, can be used to abstract from the infrastructure.

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