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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Networking.

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What is a Distributed Storage System

Scalegrid

Handling a storage system spread across multiple physical servers introduces complexities such as unpredictability in behavior, difficulties with testing procedures, and an overall increase in administrative complexity due to the dispersed nature of data. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130
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Lessons learned from enterprise service-level objective management

Dynatrace

Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality.

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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application.

Metrics 166
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What Is a Workload in Cloud Computing

Scalegrid

Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130
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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

Energy data at the entire machine or raw cloud instance level needs to be apportioned to virtual machines or cloud instances which run an operating system, and to pods, containers and processes running applications and background activities that consume CPU, memory and I/O resources.

Energy 52
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Devops and the need for cloud based solutions

Testsigma

These may include operating systems and other software on the machine. For example, as the traffic increases, you can allocate two more machines to a particular zone. You can also integrate Testsigma with Amazon AWS and Microsoft Azure. Whatever the user’s needs are, they can be allotted to them such as 8GB Ram etc.

DevOps 59