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Curbing Connection Churn in Zuul

Netflix Tech

It seems like a minor change, but it had to be seamlessly integrated into our existing metrics and connection bookkeeping. We had discussed subsetting many times over the years, but there was concern about disrupting load balancing with the algorithms available. Subsetting Success The results were outstanding.

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Observability versus monitoring in software development

CircleCI

“Observability” and “monitoring” are two words that can perplex even experienced software engineers. New developers coming into a software engineering or operations role can find it challenging to understand the difference between observability and monitoring. As software has evolved, so has observability.

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NetOps for Application Developers: Understanding the Importance of Network Operations in Modern Development

Kentik

As these applications scale, and engineering for reliability comes into the forefront, DevOps engineers begin to rely on networking concepts like load balancing, auto-scaling, traffic management, and network security.

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Our DevOps Toolbox: The Consul Interview

Exadel

Recently, Michael Shklyar, a DevOps Software Engineer from the Exadel Digital Transformation Practice, recently sat down with Alexey Korzhov , a DevOps specialist from one of our client projects, to discuss Consul, it’s advantages, and how it helps him solve issues. We can even choose metrics for monitoring containers. .

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Kubernetes Tutorial for Beginners: Introduction to K8s

Codegiant

This blog is intended to discuss the basic concepts of Kubernetes for beginners or software engineers who wants to learn about container orchestration with the most popular orchestrator tool also known as k8s. Automated Scaling: It adjusts the number of running instances based on resource usage or custom metrics.

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Kubernetes Tutorial for Beginners: Introduction to K8s

Codegiant

This blog is intended to discuss the basic concepts of Kubernetes for beginners or software engineers who wants to learn about container orchestration with the most popular orchestrator tool also known as k8s. Automated Scaling: It adjusts the number of running instances based on resource usage or custom metrics.

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High Scalability

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