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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 228
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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. Check back here throughout the event for the latest news, insights, and announcements.

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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. The platform allows development, security, and operations teams to build a strong DevSecOps culture, including application security along with software development agility and speed.

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'Paris s'éveille'! Introducing the AWS EU (Paris) Region

All Things Distributed

We are excited to offer a complete portfolio of services, from our foundational technologies, such as compute, storage, and networking, to our more advanced solutions and applications such as artificial intelligence, IoT, machine learning, and serverless computing.

AWS 112
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A 5G future

O'Reilly

High-speed networks through 5G may represent the next generation of cord cutting. Rural connectivity is a persistent problem; many rural users (and some urban users) are still limited to dial-up speeds. We recently conducted a survey on serverless architecture adoption. We were supposed to have fiber to the home by now.

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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.

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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. A huge advantage of this approach is speed. The goal of AIOps is to automate operations across the enterprise.

DevOps 196