In Defense of Microservices
summary
Claims that microservices are finally entering an era of intelligent maturity after the 2014–2018 hype and 2018–2022 rising skepticism phase, shows concrete counters: use of Azure Container Apps, AKS/EKS/GKE, Terraform/ARM/Bicep, Docker, Prometheus and ELK for ops, Application Insights and OpenTelemetry for tracing, and patterns like Saga, event sourcing and CQRS with Apache Kafka or Azure Service Bus for data consistency. Gives examples (Netflix/Amazon scale, hundreds of daily deploys) and pragmatic remediation for testing, monitoring and team organization.
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chapters (18)
- 0:00Introduction to Microservices
- 0:31The Era of Hype: 2014-2018
- 4:18Rising Skepticism: 2018-2022
- 7:46Losing Faith in Microservices
- 10:16The Era of Intelligent Maturity
- 11:45Comparing Architectural Styles
- 25:31Core Benefits of Microservices
- 36:13Core Benefits of Microservices
- 37:25Common Critiques of Microservices
- 38:35Addressing Operational Complexity
- 43:37Challenges in Distributed Systems
- 48:12Data Management in Microservices
- 52:07Testing in a Microservices Environment
- 56:06Skills and Expertise Requirements
- 1:00:01Strategies for Successful Microservices Implementation
- 1:05:29Technical Best Practices
- 1:10:47Processes and Tooling
- 1:14:48Comparing Architectural Styles
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