InfoQ Homepage Performance Content on InfoQ
-
Sustainable Operations in Complex Systems with Production Excellence
Successful long-term approaches to production ownership and DevOps require cultural change in the form of production excellence. Teams are more sustainable if they have well-defined measurements of reliability, the capability to debug new problems, a culture that fosters spreading knowledge, and a proactive approach to mitigating risk.
-
Monitoring and Managing Workflows across Collaborating Microservices
This article argues that you need to balance orchestration and choreography in a microservices architecture in order to be able to understand, manage and change the system.
-
DevOps and Cloud InfoQ Trends Report - February 2019
An overview of how the “cloud computing” and DevOps space is evolving in 2019 including updates on Kubernetes, Chaos Engineering, Service meshes and more.
-
Observability-Driven Development for Tackling the Great Unknown
How does observability-driven development differ from monitoring? As our distributed systems become increasingly more complicated and as our silos break down for DevOps testing, automation, and efficiency, ODD arises as a superset of monitoring to understand your code’s unknown unknowns. Includes insights from Honeycomb Founder Charity Majors.
-
Article Series - .NET Core - 2nd Series
In this series, we explore some of the benefits .NET Core and how it can help traditional .NET developers and all technologists who need to bring robust, performant and economical solutions to market
-
Book Review: Optimizing Java
InfoQ reviewed the book Optimizing Java, a comprehensive in-depth look at performance tuning in the Java programming language written by Java industry experts, Ben Evans, James Gough and Chris Newland. InfoQ spoke to the authors for more insights on their experiences, learnings and obstacles in authoring this book.
-
Spark Application Performance Monitoring Using Uber JVM Profiler, InfluxDB and Grafana
In this article, author Amit Baghel discusses how to monitor the performance of Apache Spark based applications using technologies like Uber JVM Profiler, InfluxDB database and Grafana data visualization tool.
-
Microservices in a Post-Kubernetes Era
How are microservices standing in the Kubernetes era? The microservice architecture is still the most popular architectural style for distributed systems. But Kubernetes and the cloud-native movement have redefined certain aspects of application design and development at scale.
-
Istio and the Future of Service Meshes
A service mesh provides a transparent and language-independent way to flexibly and easily automate networking, security, and observation functions. This article examines the past, present and future of the Istio service mesh. The near-term goal is to launch Istio to 1.0, when the key features will all be in beta, including support for Hybrid environments.
-
Picking an Active-Active Geo Distribution Strategy: Comparing Merge Replication and CRDT
Modern distributed applications are fuelling the growing demand for distributed active-active, multi-master databases. While most popular databases support multi-master deployment, different databases employ different techniques. LWW, MVCC, merge replication and CRDTs deliver eventual consistency, offering read and write access with local latency and remaining available during network partitions.
-
Microservices and the Economics of Small Things
In this article Mark Burgess explores the process of "decentralizing intent" and the effect it has on the predictability of our systems including what we can know as we scale systems.
-
Article Series: .NET Core
In this series, we explore some of the benefits .NET Core and how it can help not only traditional .NET developers, but all technologists that need to bring robust, performant and economical solutions to market.