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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 209
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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? A DevOps platform engineer is a more recent term.

DevOps 180
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.

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How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. These examples can help you define your starting point for establishing DevOps and SRE best practices in your organization.

DevOps 176
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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code.

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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. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. But nothing is perfect — and microservices is no exception.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. They can do so by establishing a solid FinOps strategy. What is AI observability?

Strategy 212