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AWS re:Invent 2022 guide: Cloud application modernization remains key issue

Dynatrace

Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . Developing a cloud application migration strategy . See how to use Dynatrace in your cloud migration strategy.

AWS 130
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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. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure.

Strategy 218
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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 222
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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. As an example of what you can now achieve with Dynatrace monitoring of GCP, let’s take a look at the Google Cloud Function service. Dynatrace news. Your feedback.

Google 213
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 217
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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. 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 189
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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