Remove kubernetes-operator
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Analyzing Kubernetes Operational Data

Dataversity

Kubernetes is an infrastructure platform commonly used in modern IT environments. It supports cloud-native applications and offers many benefits but also introduces complexities and operational challenges. Operating Kubernetes reliably requires detecting errors and fixing them quickly.

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Article: Managing Kubernetes Secrets with the External Secrets Operator

InfoQ Articles

Kubernetes doesn’t yet have the capabilities to manage the lifecycle of secrets, so sometimes we need external systems to manage this sensitive information. In this article, we’ll take a detailed look at one of these tools, the External Secrets Operator. By Önsel Akin.

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Kubernetes Secret Management With External Secrets Operator

Cprime

You may be familiar with Kubernetes secrets. These are Kubernetes objects designed specifically to hold secrets, as the name suggests. But, in reality, Kubernetes secrets don’t give you everything you need to make your secrets secure. A Few Words About Kubernetes Secrets. Why aren’t Kubernetes secrets enough?

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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.

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CI/CD in Kubernetes with ArgoCD: A Practical Guide

Agile Connection

The intersection of Continuous Integration and Continuous Deployment (CI/CD), Kubernetes, and ArgoCD are a powerful synergy that can streamline development and deployment processes.

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40+ Top Kubernetes Interview Questions and Answers for 2022 | Simplilearn

Simplilearn

Kubernetes comes from a Greek word meaning ‘captain,’ ‘helmsman,’ or ‘governor.’ The term is now also used in the DevOps and on-premises software development world to refer to a powerful bundle of solutions that equips operations engineers to scale and service server (and box) setups effortlessly. Read More.

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Top 40 Apache Spark Interview Questions and Answers | Simplilearn

Simplilearn

It can run workloads 100 times faster and offers over 80 high-level operators that make it easy to build parallel apps. Spark can run on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud, and can access data from multiple sources. Apache Spark is a unified analytics engine for processing large volumes of data. Read More.

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