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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

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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 219
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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. Requirements to achieve multicloud observability and monitoring. Environments with multiple cloud service providers that deploy microservices, containers, and Kubernetes systems require a more dynamic, modern approach to monitoring.

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The top eight DevSecOps trends in 2022

Dynatrace

As a result, developers and operations teams can automatically manage, monitor, and provision IT resources through software code rather than manually configure one device after another. Serverless architecture expands. Going serverless can also be more cost-effective than managing infrastructure on-premises. and 2.14.1.

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What is observability? Not just logs, metrics and traces

Dynatrace

Although some people may think of observability as a buzzword for sophisticated application performance monitoring (APM) , there are a few key distinctions to keep in mind when comparing observability and monitoring. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363
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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. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application. Analyze the data.

DevOps 185