Remove solutions kubernetes
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Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science

O'Reilly on Data

Do you buy a solution from a big integration company like IBM, Cloudera, or Amazon? Integrated all-in-one platforms assemble many tools together, and can therefore provide a full solution to common workflows. However some assembly is required because they need to be used alongside other products to create full solutions.

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Deploying ML Models Using Kubernetes

Analytics Vidhya

Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The post Deploying ML Models Using Kubernetes appeared first on Analytics Vidhya.

Modeling 346
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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

Similarly, it would be pointless to pretend that a data-intensive application resembles a run-off-the-mill microservice which can be built with the usual software toolchain consisting of, say, GitHub, Docker, and Kubernetes. To plug this gap, frameworks like Metaflow or MLFlow provide a custom solution for versioning.

IT 364
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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Kubernetes has emerged as the de facto solution for orchestrating services and microservices in cloud native design patterns. Usage in Kubernetes surged by 211% in 2018—and grew at a 40% clip in 2019. Also intriguing: cloud-specific interest in microservices and Kubernetes grew significantly last year on O’Reilly.

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Progress for big data in Kubernetes

O'Reilly on Data

It has become much more feasible to run high-performance data platforms directly inside Kubernetes. Kubernetes is really cool because managing services as flocks of little containers is a really cool way to make computing happen. Previous solutions. Recent advances in Kubernetes. That can lead to grief in a few ways.

Big Data 233
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The DataOps Vendor Landscape, 2021

DataKitchen

It is easy to get overwhelmed when trying to evaluate different solutions and determine whether they will help you achieve your DataOps goals. BMC Control-M — A digital business automation solution that simplifies and automates diverse batch application workloads. Kubeflow — The Machine Learning Toolkit for Kubernetes.

Testing 300
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What Should Data Developers Know About Kubernetes Troubleshooting?

Smart Data Collective

Kubernetes is one of the most important that all big data developers should be aware of. Kubernetes has become the leading container orchestration platform to manage containerized data-rich environments at any scale. Common Types of Kubernetes Issues that Data Developers Must Recognize. External Network Connectivity.