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Suhail Patel explains how Monzo prepared for the recent crowdfunding (run entirely through its app, using the very same platform that runs the bank) which saw more than 9,000 people investing in the first five minutes. He covers Monzo's microservice architecture (on Go and Kubernetes) and how they profiled and optimized key platform components such as Cassandra and Linkerd.
A service mesh is only meant to be used as infrastructure for communication between services, and developers should not be building any business logic inside the service mesh. Other frameworks and libraries can be used to implement cloud native enterprise application integration patterns.
Marios Michailidis shares their approach on automating ML using H2O’s Driverless AI. Driverless AI employs the techniques of expert data scientists in an easy-to-use application that helps scale data science efforts; empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.
In this Shane Hastie, Lead Editor for Culture & Methods, spoke to Michael Bolton about the current and future state of testing.
Service mesh architectures enable a control and observability loop. At the moment, service mesh implementations vary in regard to API and technology, and this shows no signs of slowing down. Building on top of volatile APIs can be hazardous. Here we suggest to use a simplified, workflow-friendly API to shield organization platform code from specific service-mesh implementation details.
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Cloud Native DevOps With Kubernetes
This full, complete O’Reilly book shows developers and operations staff how to apply industry-standard DevOps practices to Kubernetes in a cloud-native context.
Service Mesh for Microservices
Learn how a service mesh provides a configurable infrastructure layer that makes service-to-service communication flexible, reliable, and fast.
From Docker to Kubernetes: Container Networking 101
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SOA vs Microservices
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