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Site reliability engineering: 5 things you need to know

Dynatrace

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE focuses on automation.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

Picture by Adrian — Ka’anapali sunset 2023 There’s been a lot of discussion about platforms recently, I talked about why I think it’s a current hot meme on the WTF Podcast with Charles Humble recently, and Sam Newman just wrote a blog post “ Don’t call it a platform ”.

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Vulnerability assessment: key to protecting applications and infrastructure

Dynatrace

Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services. Dynatrace news.

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AWS re:Invent 2022 guide: Cloud application modernization remains key issue

Dynatrace

But many companies’ IT infrastructure doesn’t start out in the cloud. Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . What is serverless computing?

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Site reliability engineering: 5 things to you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE focuses on automation. SRE drives a “shift left” mindset.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. How can organizations use AI observability to optimize AI costs? What is explainable AI?

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. AWS: A service for everything. Amazon EC2.