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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. Its approach to serverless computing has transformed DevOps.

AWS 223
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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production.

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

Dynatrace

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

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How to evaluate modern APM solutions

Dynatrace

Artificial intelligence for IT operations (AIOps) for applications. The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail. We use a lot of serverless (FaaS) in our infrastructure, and Dynatrace really helps us troubleshoot failed invocations.

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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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Modern approaches to observability and monitoring for multicloud environments

Dynatrace

To identify those that matter most and make them visible to the relevant teams requires a modern observability platform with automation and artificial intelligence (AI) at the core.

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Web Development Trends in 2023

KeyCDN

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.