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Performance Optimization for Multi-Layered Cloud Native AWS Application

DZone

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 263
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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

With our annual user conference, Dynatrace Perform 2024 rapidly approaching on January 29 through February 1, 2024, our teams, partners, and customers are buzzing with excitement and anticipation. More so than ever before, organizations are investing in cloud migration and cloud modernization to lower total cost of ownership (TCO).

Cloud 217
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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams.

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Bridging the Observability Gap for Modern Cloud Architectures

DZone

Cloud-native architectures have brought immense complexity along with increased business agility. But with this complexity comes fragility and lack of transparency into system performance and reliability.

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Dynatrace achieves Google Cloud Ready – Cloud SQL designation

Dynatrace

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server.

Google 209
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What is platform engineering?

Dynatrace

In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Why is platform engineering important?

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Platform engineering: Empowering key Kubernetes use cases with Dynatrace

Dynatrace

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. It needs to be engineered properly as a product or service, and it needs automation, observability, and security in itself.”