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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.

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IT teams seek observability for, and control over, serverless architecture

Dynatrace

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

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Accelerate transformation with automated observability for Google Cloud Platform

Dynatrace

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. At Dynatrace Perform 2022 in February, the theme was “Empowering the game changers.”. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures.

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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. Observability with AWS and beyond.

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Dynatrace named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps) report

Dynatrace

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A new wave of innovation for AIOps.

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The Cloud is Not a Railroad - An Argument Against the Vertical Separation of Cloud Providers

High Scalability

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

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