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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. In essence, it establishes permissions within a Kubernetes cluster.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

But OpenShift builds from there to provide integrated development tools, CI/CD (continuous integration/continuous deployment) pipelines, and built-in support for popular programming languages, frameworks, and databases. Networking. Kubernetes provides a basic networking model.

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Should You Use ClickHouse as a Main Operational Database?

Percona

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Processed 4.15

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. This can quickly saturate the network (and bog down the client).

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. This can quickly saturate the network (and bog down the client).

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Can AI-Driven Test Automation Enhance Test Automation?

Testsigma

Manual testers check log files, external services, and databases for errors, moreover, they record their findings. Deep learning : Uses multiple layers of neural networks that extract information progressively from the input. Natural language processing : Programming computers to analyze and process natural human language.

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Generative AI in the Enterprise

O'Reilly

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.