SDDC 2.0 with Kubernetes, Apigee, and Istio – Cisco’s Collaboration with Google Follows a Grander Vision

By Torsten Volk on Oct 27, 2017 10:13:23 AM

On October 25, Cisco and Google announced their hybrid cloud partnership, where Google brings the container runtime (Kubernetes), the platform to provide, manage, and consume APIs (Apigee), and of course a wide range of consumable cloud services (visual recogngition, machine learning, text to voice, etc.). Cisco contributes the hyperconverged infrastructure (Hyperflex) with Kubernetes management (Harmony), networking (Nexus 9k), and hybrid cloud management software (CloudCenter) to integrate Google’s public cloud services with the customer’s local data center.

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Microsoft Pulling ahead of Amazon with its fully Managed Kubernetes Offering

By Torsten Volk on Oct 25, 2017 9:00:55 AM

Azure Container Service (now AKS where the K stands for Kubernetes) is now offers managed Kubernetes as Tech Preview. This new service provides single-line install (az aks create –n myCluster –g myResourceGroup), automated upgrades, self-healing, and scaling. Microsoft promises that the Azure control plane for Kubernetes will remain free (AWS charges for management servers), with customers only paying for worker nodes running applications. Like all other major vendors, Microsoft declares Kubernetes the winner of the container orchestrator and scheduler race and stresses its contribution to the open source project (only 37 commits, compared to 114 by IBM, 668 by Red Hat, and 1543 by Google as of October 25, 2017). Microsoft also stresses the importance of its Draft project (acquired through Deis) to make Kubernetes accessible to developers without any container experience. Today, Amazon does not offer managed Kubernetes, but it is expected that there will be an announcement in this regard at re:Invent in November.

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The Scheduler Race is Over – Why Kubernetes Won and What it Means to the Market

By Torsten Volk on Oct 19, 2017 11:51:23 AM

What Happened?

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Struggling to Turn Around – Finally Docker Announces Kubernetes Support

By Torsten Volk on Oct 18, 2017 9:27:18 AM

Docker used the picturesque setting of its Copenhagen DockerCon event to announce Kubernetes support for both, Docker Enterprise Edition and Docker Community Edition. The company plans to deliver betas for end of 2017.

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EMA Enterprise Decision Guide: Container Management in Production and at Scale

By Torsten Volk on Oct 9, 2017 11:09:24 AM

I’m excited to kick off this project, as no other topic in IT seems to have so many different aspects to consider and so many points to attack it. As, hopefully, in all our EMA research projects, we will look at this topic from all angles without any predetermined outcomes. The project will be exclusively guided by what’s best for the customer when it comes to ramping up a container strategy.

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Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals

By Torsten Volk on Sep 26, 2017 11:37:40 AM

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'

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Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals

By Torsten Volk on Sep 26, 2017 10:44:15 AM

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'

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EMA Quick Take: Why Puppet Acquired Distelli – Kubernetes Management Is Key

By Torsten Volk on Sep 21, 2017 4:50:38 PM

 

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Prologue for EMA Research Project: Machine Learning and Artificial Intelligence in Enterprise IT and DevOps

By Torsten Volk on Sep 18, 2017 2:29:07 PM

Why are there still so many repetitive tasks in data center and cloud management today? Why does application management still contain so many manual steps? Why do most organization still suffer from automation and monitoring silos that prevent them from avoiding preventable application outages and service degradations?

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VMworld 2017 – Prologue

By Torsten Volk on Aug 18, 2017 4:18:34 PM

“Oh, I’m not coming to VMworld this year, we are at Jenkins instead.” This is a sentence I’ve heard quite a few times now from vendors that I’m used to seeing at VMworld and it makes me wonder what’s going on.

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