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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

“IDPs are not constrained to building microservices or a new serverless app,” Grabner noted. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. It includes a notebook with configuration and deployment instructions.

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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. Dynatrace news. Learn more here. What is AWS Lambda?

AWS 228
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The top eight DevSecOps trends in 2022

Dynatrace

AIOps, conversely, is an approach to software operations that combines AI algorithms with data analytics to automate key tasks and suggest precise answers to common IT issues, such as unexpected downtime or unauthorized data access. Serverless architecture expands. Microservices go hand-in-hand with serverless computing.

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What is observability? Not just logs, metrics and traces

Dynatrace

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363
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Modern approaches to observability and monitoring for multicloud environments

Dynatrace

Observability is the new standard of visibility and monitoring for cloud-native architectures. The Dynatrace Software Intelligence Platform, and its powerful AI engine Davis, automate root-cause analysis and discover the unknown unknowns, all without missing a beat in today’s most complex cloud-native architectures.

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Applying real-world AIOps use cases to your operations

Dynatrace

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI. Achieving autonomous operations.

DevOps 195