InfoQ Homepage Microservices Content on InfoQ
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eBPF and the Service Mesh: Don't Dismiss the Sidecar Yet
While eBPF looks promising to improve service mesh sidecar proxy performance, there are other, simplier ways to improve performance. The layer 7 processing needed for service meshes is unlikely to be feasible in eBPF for the foreseeable future, which means that meshes will still need proxies.
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Location, Location, Location: MVA Considerations for Distributed Processing and Data
Even when designing a Minimum Viable Architecture (MVA), developers must consider resource location, especially when mobile apps are part of a distributed system. Distributing the data and processing can introduce new challenges if location is not part of the decision-making criteria.
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Migrating Netflix's Viewing History from Synchronous Request-Response to Async Events
In a web-based service, a slowdown in request processing can eventually make your service unavailable. Chances are, not all requests need to be processed right away. Some of them just need an acknowledgement of receipt. Have you ever asked yourself: “Would I benefit from asynchronous processing of requests? If so, how would I make such a change in a live, large-scale mission critical system?”
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Developing a Cloud-Native Application on Microsoft Azure Using Open Source Technologies
Cloud native is a development approach that improves building, maintainability, scalability, and deployment of applications. My intention with this article is to explain, in a pragmatic way, how to build, deploy, run, and monitor a simple cloud-native application on Microsoft Azure using open-source technologies.
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Go Native with Spring Boot and GraalVM
Spring Boot 3 & Spring Framework 6, due in late 2022, will have built-in support for native Java. For Spring Framework 5.x & Spring Boot 2.x, Spring Native is the way to go. Spring Native provides integrations for Spring's vast ecosystem of libraries. It also has a component model that allows you to extend native compilation support for other libraries.
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The What and Why of Programmable Proxies
A question which gets often asked is “What is a programmable proxy, and why do I need one?” This article tries to answer this question from different perspectives. We will start with a brief definition of what a proxy is, then discuss how proxies evolved, explaining what needs they responded to and what benefits they offered at each stage. Finally, we discuss several aspects of programmability.
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Getting Started to Quarkus Reactive Messaging with Apache Kafka
How data is processed/consumed nowadays is different from how it was once practiced. In the past, data was stored in a database and it was batch processed for analytics. Apache Kafka is a distributed event store and stream-processing platform for storing, consuming, and processing data streams in real-time. In this post, we’ll learn how to produce and consume data using Apache Kafka and Quarkus.
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Data Patterns for the Edge: Data Localization, Privacy Laws, and Performance
With growing competition to get data that power experiences to the end-user closer and closer and the advent of local data privacy laws, let's look at different enterprise data patterns like “synchronous data retrieval”, “subsequent data retrieval” and “prefetch data retrieval” on data center.
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Best Practices for Running Stateful Applications on Kubernetes
Running stateful applications on Kubernetes is not a common use-case but it is possible. This article covers a number of techniques for safely operating stateful applications on Kubernetes including the StatefulSet and DaemonSet controllers, secret management, ConfigMaps, and the effective use of namespacing.
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Is Docker Secure Enough? Advice for Configuring Secure Container Images and Runtimes
Ensure that Docker is secure enough by fine-tuning the security approach to meet your use cases. It is important to have an understanding of the differences between the Docker image and the Docker runtime and the security implications and priorities for each. This article covers a number of techniques for ensuring appropriate security for Docker.
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Seven Ways to Fail at Microservices
At QCon Plus last November, I presented some of the ways microservices can go wrong. I’m a consultant for IBM, and part of my job is helping businesses get cloud-native. These problems are based on my experience – which, unfortunately, I see repeatedly in the field.
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Managing Technical Debt in a Microservice Architecture
At QCon Plus, Glenn Engstrand described how Optum Digital engineering devised a method for reliably and predictably paying down tech debt for hundreds of microservices, forming relevant communities and identifying high-risk areas. The communities' collective decisions can be compiled into an actionable roadmap and presented to product managers in a systemic and non-confrontational way.