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Kubernetes Performance Tuning: Make the Most of Your Clusters

DZone

Why Is Kubernetes Performance Tuning Needed? As Kubernetes becomes a basic infrastructure for many organizations, performance tuning for Kubernetes clusters is becoming more important. Image Source. Kubernetes is a highly scalable open-source platform for orchestrating containerized workloads in server environments.

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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations. Dynatrace, OneAgent, and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies.

AWS 298
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Monitoring of Kubernetes Infrastructure for day 2 operations

Dynatrace

One of the promises of container orchestration platforms is to make i t easier for the developers to accelerate the deployment of their app lication s without having to worry about scalability and infrastructure dependencies. It is important to understand the impact infrastructure can have on the platform and the application it runs.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Power Dashboarding, Part I: Start your exploration journey with Dashboards

Dynatrace

With Dashboards , you can monitor business performance, user interactions, security vulnerabilities, IT infrastructure health, and so much more, all in real time. Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you.

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Foundation Model for Personalized Recommendation

The Netflix TechBlog

It facilitates the distribution of these learnings to other models, either through shared model weights for fine tuning or directly through embeddings. In NLP, the trend is moving away from numerous small, specialized models towards a single, large language model that can perform a variety of tasks either directly or with minimal fine-tuning.

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Tech Transforms podcast: AI in government, insider threat, critical infrastructure and car hacking ghost stories

Dynatrace

Grant Schneider’s triple whammy of insider threats, critical infrastructure, and AI Our next guest, Grant Schneider, senior director of cybersecurity services at Venable and former federal CISO, took things up a notch. Schneider shared his perspective on the impact of those incidents.