Remove Infrastructure Remove Scalability Remove Tuning
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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. Kubernetes is a highly scalable open-source platform for orchestrating containerized workloads in server environments. Image Source.

Tuning 325
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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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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.

Tuning 165
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. What is RabbitMQ? This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. None of this complexity is exposed to application and infrastructure teams. A look to the future.

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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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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. How to find the right quota, what should be used as a CPU or Memory request and limit?