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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. So we built one: The Dynatrace Cloud Automation control plane. Cloud Automation use cases.

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What is IT automation?

Dynatrace

IT admins can automate virtually any time-consuming task that requires regular application. IT automation, DevOps, and DevSecOps go together. Automating IT practices offers enterprises faster data centers and cloud operations, as well as increased flexibility and accuracy. Digital process automation tools.

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Vulnerability assessment: key to protecting applications and infrastructure

Dynatrace

Host analysis focuses on operating systems, virtual machines, and containers to understand if there are software components with known vulnerabilities that can be patched. These can include the configuration of operating system access controls and the use of unnecessary libraries or system services.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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What is Kubernetes?

Dynatrace

According to the 2020 Cloud Native Computing Foundation (CNCF) survey , 92 percent of organizations are using containers in production, and 83 percent of these use Kubernetes as their preferred container management solution. This simplifies orchestration in cloud-native environments. Dynatrace news. But what is Kubernetes exactly?

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Weighing a microservices approach means covering all architecture bases

Dynatrace

A microservices approach enables DevOps teams to develop an application as a suite of small services. Because monolithic software systems employ one large codebase repository, the service becomes a massive piece of software that is labor-intensive to manage. VMs require their own operating system and take up additional resources.

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Cloud Testing: How to overcome the challenges of testing on-premise?

Testsigma

It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc. Based on which version of operating systems or browsers your users consume content on, you have to plan your testing. Lollipop and 6.0

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