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Shift-Left Monitoring Approach for Cloud Apps in Containers

DZone

Shift-left is an approach to software development and operations that emphasizes testing, monitoring, and automation earlier in the software development lifecycle. Moving inefficient code to cloud containers can be costly, as it may activate auto-scaling and increase your monthly bill.

Cloud 289
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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 273
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Dynatrace for Developers: Fixing memory leaks in our cloud-native services on k8s

Dynatrace

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. Today’s story is about how the Keptn development team is using Dynatrace during development and load-testing. Then we ran the load-tests again.

Cloud 222
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What is cloud application security?

Dynatrace

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 171
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Building the Best Kubernetes Test Cluster on MacOS

DZone

Considering that the big three cloud vendors (AWS, GCP, and Microsoft Azure) all now offer their own flavor of managed Kubernetes services, it is easy to see how it has become ever more prolific in the “cloud-native architecture” space. Like all cloud-native technologies, Kubernetes can be a challenge to test locally.

Testing 276
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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. Why is developer observability important for engineers? Observability is about answering.”