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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Observability with AWS and beyond.

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

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. 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.

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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.

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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

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Modern approaches to observability and monitoring for multicloud environments

Dynatrace

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. With this information they can: Detect outages, software bugs, unauthorized activity, and service degradations. AI-driven software intelligence.