InfoQ Homepage Presentations
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Building .NET Microservices
Kevin Hoffmann and Chris Umbel discuss building .NET microservices and deploying them to the Spring Cloud.
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Implementing Microservices Tracing with Spring Cloud and Zipkin
Marcin Grzejszczak and Reshmi Krishna describe how to do distributed tracing with Spring Cloud Sleuth and Zipkin, demoing incorporating these technologies into an existing stock trading application.
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How to Properly Blame Things for Causing Latency: An Introduction to Distributed Tracing and Zipkin
Adrian Cole overviews how to debug latency problems using call graphs created by Zipkin, taking a look at the ecosystem, including tools to trace Ruby, C#, Java and Spring Boot apps.
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Implementing Config Server and Extending It
Clint Checketts discusses the concerns to consider when rolling out a config server around security, encryption, and location of repositories, and Config Server's extensibility.
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Putting a SpEL on Spinnaker: Evolving an Expression Language for Continuous Delivery at Netflix
Tomas Lin discusses Spinnaker and SpEL, an open source, multi-cloud continuous delivery platform that is used by over 90% of cloud deployments at Netflix.
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Developing Microservices with Aggregates
Chris Richardson describes how to use aggregates to design modular business logic that can be partitioned into microservices.
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Spring Cloud on AWS
Agim Emruli presents common patterns and best-practices to run the application on the AWS cloud and how to use the platform provided services efficiently.
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Load Balancing is Impossible
Tyler McMullen discusses load balancing techniques and algorithms such as Randomized Least-conns, Join-Idle-Queue, and Load Interpretation.
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A Dark and Stormy Night: Operational Antipatterns
Kiran Bhattaram shares common operational antipatterns, useful tactics and stories learned in difficult situations.
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Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors
Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.
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Instant and Personal: Searching Your Network at LinkedIn
Shakhina Pulatova overviews the Instant Search experience at LinkedIn and how they use Machine Learning to deliver personalized results as the query is typed.
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Introduction to DocumentDB
Brian Korzynski introduces DocumentDB, a document database offering on the Azure platform: what it is, how to use it, how much it costs, and how it compares to other cloud document database offerings.
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