InfoQ Homepage DevOps Content on InfoQ
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What Machine Learning Can Learn from DevOps
The fact that machine learning development focuses on hyperparameter tuning and data pipelines does not mean that we need to reinvent the wheel or look for a completely new way. According to Thiago de Faria, DevOps lays a strong foundation: culture change to support experimentation, continuous evaluation, sharing, abstraction layers, observability, and working in products and services.
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.NET Core and DevOps
.NET Core was designed with devops in mind, and this article will cover how the .NET Core projects can benefit from the build automation and application monitoring intrinsic to the platform. The author also shows how the command-line accessibility of .NET Core makes this easier to implement.
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Using Golang to Build Microservices at The Economist: A Retrospective
Microservices written in Go was a key component of a new system that would enable The Economist to deliver scalable, high performing services and quickly iterate new products. Go's baked in concurrency and API support along with its design as a static, compiled language enabled a distributed eventing system. Overall, The Economist team's experience with Go has been a positive experience.
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Micronaut Tutorial: Part 2: Easy Distributed Tracing, JWT Security and AWS Lambda Deployment
In this second Micronaut tutorial article we are going to add several features to our app: distributed tracing, security via JWT and a serverless function. Moreover, we will discuss the user input validation capabilities offered by Micronaut.
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Exploring Azure Service Fabric Mesh: A Platform for Building Mission Critical Microservices
Azure has released a preview of Service Fabric Mesh, a platform targeted at microservice developers who do not want the operational responsibility of running an underlying orchestration platform. InfoQ recently sat down with Chacko Daniel, principal technical PM at Microsoft, to explore the details.
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Getting Started with Istio Service Mesh Routing
In the following tutorial, we will use Istio to demonstrate one of the most powerful features of service meshes: “per request routing.” This feature allows the routing of arbitrary requests that are marked by selected HTTP headers to specific targets, which is possible only with a (OSI) layer 7 proxy. No layer 4 load balancer or proxy can achieve this functionality.
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Building a Web App with Yeoman
Yeoman is an efficient open-source software system for scaffolding web applications, used for streamlining the development process. It is known primarily for its focus on scaffolding, which means the use of many different tools and interfaces coordinated for optimized project generation.
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How to Source Control Your Databases for DevOps
A robust DevOps environment requires having continuous integration for every component of the system. But far too often, the database is omitted from the equation. In this article, we discuss the unique aspects of databases, both relational and NoSQL, in a successful continuous integration environment.
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Decoupling in Cloud Era: Building Cloud Native Microservices with Spring Cloud Azure
To implement a microservices architecture there are common patterns to use. Spring Cloud realizes these patterns as building blocks, and Spring Cloud Azure takes it one step further.
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Who Is Running My Kubernetes Pod? The Past, Present, and Future of Container Runtimes
Container runtime choices have grown over time to include other options beyond the popular Docker engine. The Open Container Initiative (OCI) has successfully standardized the concept of a container and container image in order to guarantee interoperability between runtimes. This article looks at the past, present, and future of container engine implementations.
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Service Delivery Review: The Missing DevOps Feedback Loop?
This article introduces the service-delivery review and answers questions like: does the team know what their customer values about their service? How can we regularly assess service fitness?
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Apache Kafka: Ten Best Practices to Optimize Your Deployment
Author Ben Bromhead discusses the latest Kafka best practices for developers to manage the data streaming platform more effectively. Best practices include log configuration, proper hardware usage, Zookeeper configuration, replication factor, and partition count.