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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Dynamic load balancing : AI algorithms can dynamically balance incoming requests across multiple microservices based on real-time traffic patterns, optimizing performance and reliability.

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Demystifying Kuma Service Mesh

Dzone - DevOps

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. It has its roots in the three-tiered model of application architecture. Under a heavy load, the application could break if the traffic routing, load balancing, etc.,

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Announcing Complete Azure Observability for Kentik Cloud

Kentik

We designed this new map specifically around Azure hybrid cloud architectural patterns in response to the needs of some of our largest enterprise customers. It includes rich metrics for understanding the volume, path, business context, and performance of flows traveling through Azure network infrastructure.

Azure 105
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Why Use Kong API Gateway

Dzone - DevOps

Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues. Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security.

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Cybersecurity Snapshot: Insights on Hive Ransomware, Supply Chain Security, Risk Metrics, Cloud Security

Tenable

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . But to truly map cybersecurity efforts to business objectives, you’ll need what CompTIA calls “an organizational risk approach to metrics.”.

Metrics 52
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NetOps for Application Developers: Understanding the Importance of Network Operations in Modern Development

Kentik

At scale, and primarily when carried out in cloud and hybrid-cloud environments, these distributed, service-oriented architectures and deployment strategies create a complexity that can buckle the most experienced network professionals when things go wrong, costs need to be explained, or optimizations need to be made.

Network 64
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Driving Exceptional Support: Unleashing Support Power with Honeycomb

Honeycomb

Here are some best practices: Determine the specific customer issues you want to troubleshoot, and the key metrics and events that will help identify and resolve those issues. Understanding Service Map architecture proves invaluable in such situations. This should guide your instrumentation efforts.