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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

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The top eight DevSecOps trends in 2022

Dynatrace

According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”. With IaC enable DeSecOps teams to institutionalize these processes in code, ensuring repeatable, secure, automated, and efficient processes.

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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. Learn more here. What is AWS Lambda?

AWS 228
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RSA 2022 guide: DevSecOps transformation with runtime vulnerability management

Dynatrace

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities.

Strategy 224
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Multicloud architectures, on the other hand, blend services from two or more private or public clouds — or from a combination of public, private, and edge clouds.

Cloud 222
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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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363
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Accelerate transformation with automated observability for Google Cloud Platform

Dynatrace

These capabilities enable deeper insights into all areas of GCP environments, which in turn allows businesses to quickly troubleshoot performance issues, optimize container workloads, and efficiently scale cloud operations. As a developer, you might use Google Cloud Function for serverless components. Google Cloud Datastore.

Google 220