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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

If you’re evaluating container orchestration software to manage containerized applications at scale, you may be wondering about the differences between OpenShift and Kubernetes. According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” Networking.

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What is container orchestration?

Dynatrace

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

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What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

In fact, according to a Gartner forecast , revenue for global container management software and services will reach $944 million in 2024 — up from $465.8 With the significant growth of container management software and services, enterprises need to find ways to simplify the process. million in 2020. Managed orchestration.

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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 216
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 198
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What is a Distributed Storage System

Scalegrid

Speedier access to stored information within distributed storage is achieved by leveraging software-defined storage solutions and strategies like sharding or distributing sections of large databases and improving scalability by dividing tasks among many servers.

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.