InfoQ Homepage Architecture & Design Content on InfoQ
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Observability, Event Sourcing and State Machines
Peter Lawrey explains the use cases and practicalities for having downstream services consuming all of the state changes of an upstream service in order to provide automated insight of services.
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Avoiding Alerts Overload from Microservices
Sarah Wells talks about the FT team that currently has over 150 microservices in production. Wells shares how her team regain control of their inboxes and their time, and offers some tips and tricks.
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Monitoring Serverless Architectures
Rafal Gancarz provides an overview of monitoring capabilities required for serverless apps -metering, logging, tracing, auditing, alerting-, and helpful AWS services.u
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Do You Really Know Your Response Times?
Daniel Rolls talks about the use of histogram metrics to monitor response times, explains how reservoir sampling can help, and shares good and bad practices when monitoring response times.
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Solving Business Problems with AI
The panelists discuss using AI in the enterprise to solve business problems.
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Lufthansa Open API Fueling Digital Transformation in Travel
Reinhart Lanegger exemplifies how Lufthansa uses APIs to perform a transformation of their company.
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Establishing a Microservice Foundation
Mike Amundsen discusses the benefits and operating principles of microservices.
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Monitoring Bash Microservices at Scale
Paul Bellamy covers epic fails experienced moving to microservices using the RED method to monitor what matters, and production outages they solved with detailed telemetry.
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Event Sourcing on the JVM
Greg Young looks at Event Sourcing as a concept as well as specific JVM-based implementations that are available. He focuses on where such an implementation would be beneficial or not.
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Testing Microservices
Anne-Marie Charrett offers an experience report on how they developed a testing strategy to embrace the challenges raised by testing a microservices architecture.
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Applied Distributed Research in Apache Cassandra
Jonathan Ellis explains the challenges and successes Cassandra has had in creating transactions, materialized views, and a strongly consistent cluster membership within this peer-to-peer paradigm.
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