The Containerization of Machine Learning: TensorFlow, Kubernetes and Kubeflow

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Machine learning (ML) is a method of data analysis for identifying patterns and predicting future probabilities. It is part of research on artificial intelligence (AI). By inputting data with predetermined answers into mathematical models, computers can train themselves to predict future unknown sets of inputs.

While ML has so far been successful in solving specified tasks, the analysis of…

Java’s Got a New Release Train: Are you on it or under it?

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Oracle is taking a more contemporary approach to releasing new versions of the Java platform with the recent release of Java 10. Rather than letting feature readiness drive the timing of new releases, Oracle will employ a train release model. New versions will be released every six months – regardless of content. Sun Microsystems, and now Oracle, have traditionally released new versions every two…

Mesh your Services with Istio: Solving Complexity at the Network Layer

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Istio and the service mesh

Developed in collaboration between Google and IBM, Istio is an open source technology that provides operational control over and behavioural insight into the service mesh of an application as a whole. Sitting above the application layer, service meshes consist of a dedicated network layer abstracted away from microservices themselves. Monitoring the service mesh,…

7 Things CloudOps is Betting on in 2018…

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CloudOps is Betting on 2018! Here’s how.

We continue to race into an ‘everything as a service’ world. The pace is accelerating and the stakes are intensifying. Success in a cloudy world requires software defined operations: end-to-end automation, data collection of all potentially relevant metrics, and smart algorithms that apply predictive analytics (or even machine learning) to ‘big’…

Lost at Sea: Navigating the Complexities of Kubernetes

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A Comparative Summary of Kubernetes Tooling: Open Source, Distributions, and Managed Services
While the efficiency and long-term viability of Kubernetes are apparent, its reputation for complexity is not unfounded. To that end, CloudOps has compiled a summary of the most well-known tooling to implement and manage Kubernetes clusters. Facilitating the deployment of containers at scale, Kubernetes…

Containerizing ONAP for Efficiency: Why Bell created OOM using Kubernetes

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Companies determined to stay digitally relevant are adopting software-centric architectures. Many are transitioning their IT departments from VMs to containers in order to orchestrate workloads in an agile fashion. Although VMs have brought some degree of agility and flexibility by abstracting the computer system into virtual machine images, they also bring with them some of the limitations of…

CloudOps is a Kubernetes Certified Service Provider

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CloudOps is pleased to announce that we are now a Kubernetes Certified Service Provider (KCSP). Run by the Cloud Native Computing Foundation in collaboration with the Linux Foundation, the KCSP program is comprised of 28 vetted service providers with substantial experience helping enterprises adopt Kubernetes successfully. KCSP partners provide support, consulting, and professional services and…

Docker and Kubernetes: What is the Value of Containerization?

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In the last few years, containerization and microservices-based architecture took the DevOps community by storm. According to 451 Research, container technology such as Docker and Kubernetes will see the fastest growth compared to other cloud-enabling technologies, with an estimated CAGR of 40% through 2020 (see Figure 1). “Two things stand out from our market sizing and research on…

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