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Fueling the next wave of IT operations: Modernization with generative AI

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As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

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Applying real-world AIOps use cases to your operations

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Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. A huge advantage of this approach is speed.

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How organizations can build a strong DevSecOps maturity model based on best practices

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This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Download the 2021 DevOps Report.

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The top eight DevSecOps trends in 2022

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In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. To do this effectively, the input from prompt engineering needs to be trustworthy and actionable.

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Service level objectives: 5 SLOs to get started

Dynatrace

As organizations digitally transform, they’re also accelerating the speed of software delivery. Serving as agreed-upon targets to meet service-level agreements (SLAs), SLOs can help organizations avoid downtime, improve software quality, and promote automation in the DevOps lifecycle. or above for the checkout process.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. E-commerce website: For an e-commerce website, maintain an ApDex score of 0.9

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