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An insight into Chaos Engineering and Chaos Testing

Trigent

With scale comes complexity and many ways these large-scale distributed systems can fail. These outages/interruptions often occur in complex and distributed systems where many things fail simultaneously, exacerbating the problem. Depending on the system architecture, searching for and fixing errors takes a few minutes to an hour.

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Understanding Microservices

Mentormate

SOA addresses some of the monolithic system concerns by separating the codebase into smaller pieces, however it introduces team dependencies as it strives to optimize for reusability. Microservices is the next step in the evolution of architecture patterns. Microservices strive to optimize for scale.

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Bliki: ConwaysLaw

Martin Fowler

We often see how inattention to the law can twist system architectures. If an architecture is designed at odds with the development organization's structure, then tensions appear in the software structure. This, indeed, is why I describe microservices as primarily a tool to structure a development organization.

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An Interview

LeanEssays

Every large agile framework that I know of is an excuse to avoid the difficult and challenging work of sorting out the organization’s system architecture so that small agile teams can work independently. Even though the demo group was limited due to security, it was representative of future consumers.

Film 82
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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

How do I upgrade or evolve microservices? Which teams are going to run my system? With event-first design, the data becomes the API which, like any production system, needs to support change and evolution (i.e., Audit logs: Each microservice will capture a security context (e.g., What is the latency? Avro or Protobuf ).

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What is Continuous Verification?

OpenCredo

Following alongside DevOps and CI/CD, the adoption of cloud, distributed NoSql databases, microservices and Kubernetes, has generated an explosion in the complexity of IT systems. Systems which previously had 3 layers (presentation, application and persistence) may now have hundreds of moving parts.

Survey 106
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Research Results: Key software architecture metrics

Apiumhub

Size of Biggest Cycle Group. I believe metrics regarding cyclic dependencies and coupling are very good indicators for architectural erosion. Without people, we don’t have complete systems architecture. DDD + Microservices. So I think this is a really difficult (and so interesting) problem. .

Metrics 94