Remove Metrics Remove Microservices Remove Scalability
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Can serverless fix fintech’s scaling problem?

CIO

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Scalability. Cost forecasting. The results?

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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. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

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Debugging Distributed Systems: 3 Common Distributed Tracing Challenges & How to Overcome Them

OverOps

Below we outline common approaches to distributed tracing, the challenges these methods pose and how OverOps can help deliver greater insights when troubleshooting across microservices. The accelerated adoption of microservices and increasingly distributed systems brings the promise of greater speed, scalability and flexibility.

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Hooked on Service Metrics

DevOps.com

In today’s DevOps landscape, microservices—the cloud-native approach to designing scalable, independently delivered services—allow teams to prioritize each […]. The post Hooked on Service Metrics appeared first on DevOps.com.

Metrics 84
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Title Launch Observability at Netflix Scale

Netflix Tech

This thoughtful approach doesnt just address immediate hurdles; it builds the resilience and scalability needed for the future. Title Health encompasses various metrics and indicators that reflect how well a title is performing, in terms of discoverability and member engagement. Lets explore how this mindset drivesresults.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

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Kubernetes Troubleshooting: 7 Essential Steps for Delivering Reliable Applications

OverOps

If you think of the shift to microservices and containers as an evolution rather than a revolution then you’ve reached the right place! Challenges such as: Managing the transition from a monolithic application to microservices. Dealing with polyglot programming across microservices. Logging across microservices.