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5 You’re Probably F**king Up Your Microservices

OverOps

It seems like everyone is into microservices these days, and monolith architectures are slowly fading into obscurity. With Microservices, though, there seems to be more consensus that the trend is here to stay. With Microservices, though, there seems to be more consensus that the trend is here to stay. It makes sense.

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Can serverless fix fintech’s scaling problem?

CIO

To avoid creating too many microservices using serverless FaaS (Function-as-a-Service) patterns, we decided to align to an enterprise capabilities framework to help us define the number of components and leverage a domain-driven design approach. Scalability-wise, the metrics across the two systems showed parity. Scalability.

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Metrics Matter: The 4 Types of Code-Level Data OverOps Collects

OverOps

To answer this question, we recently created a framework that helps organizations pinpoint critical gaps in data and metrics that are holding them back on their reliability journeys. Code Metrics. Transactions & Performance Metrics. System Metrics. Are there any blocked threads related to this failure?

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Transforming distribution: How Ingram Micro is becoming a platform business

CIO

These data and models then feed into intelligent headless engines, which use microservices to drive business logic both synchronously and asynchronously. These high-level metrics tie to every leaders objectives. We look at the results and metrics and share our thoughts. How did you manage that shift in incentives?

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Monitoring AWS Container Environments at Scale

Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources. Key metrics to monitor when leveraging two container orchestration systems. Containers power many of the applications we use every day.

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Strangler Pattern: How to Deal With Legacy Code During the Container Revolution

OverOps

Before you know it, you might find yourself preparing to transition a massive, complex monolith application to Microservices and realize that you have no idea where to start and there’s no one left at the company that knows how the foundational code of the software works. Microservices to the rescue? Or in other words….

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There Is Only One Key Difference Between Observability 1.0 and 2.0

Honeycomb

phenomenon We’ve all heard the slogan, “metrics, logs, and traces are the three pillars of observability.” You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more.