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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. What is Microsoft Hyper-V?

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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

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What Is a Workload in Cloud Computing

Scalegrid

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This need is often referred to as “workload optimization.”

Cloud 130
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What is container orchestration?

Dynatrace

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. Docker containers can share an underlying operating system kernel, resulting in a lighter weight, speedier way to build, maintain, and port application services.

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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

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Mastering Kubernetes with Dynatrace

Dynatrace

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Traces help find the flow of a request through a distributed system.

Analytics 231