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Web Development

eBay's UI Framework Marko Adds Optimized Reactivity Model - Q&A with Marko's Development Team

Marko, eBay's performance-focused UI framework, features optimization strategies that are now becoming mainstream (e.g., server-side rendering, progressive and asynchronous rendering, partial hydration). InfoQ discussed with the Marko development team how those performance strategies may differentiate Marko from other frameworks and future performance-minded initiatives in their roadmap.

Bruno Couriol Ryan Carniato Michael Rawlings Dylan Piercey
on Mar 22, 2021
Emerging Technologies

Boosting WebAssembly Performance with SIMD and Multi-Threading

Early implementations of WebAssembly's SIMD and multi-threading proposals show that WebAssembly is narrowing the gap with native performance, by using SIMD instructions and multicore CPUs. Significant performance improvements have been observed in compute-intensive tasks (machine-learning, bio-informatics, scientific computing).

Bruno Couriol
on Feb 19, 2021
Development

Improving the Performance of a Route Editor Using a Quadtree

A quadtree is a tree data structure that allows the user to partition a two-dimensional space and to quickly find the intersection of objects. In this article we show how we used it to improve the performance of our route editor.

Nina Fursova
on Feb 18, 2021
DevOps

Piercing the Fog: Observability Tools from the Future

Visibility into those distributed systems and how they are performing is challenging. Despite all the observability tools available for site reliability, debugging remains incredibly difficult, and many SREs would agree that their debugging processes have only marginally improved. This article explores how observability for troubleshooting could be done from the user’s point of view.

Srinath Perera
on Feb 10, 2021
AI, ML & Data Engineering

Performance Tuning Techniques of Hive Big Data Table

In this article, author Sudhish Koloth discusses how to tackle performance problems when using Hive Big Data tables.

Sudhish Koloth
on Feb 05, 2021
Cloud

Performance Analysis for Arm vs x86 CPUs in the Cloud

In this article, the author uses AWS’s Arm (Graviton2) and x86_64 (Intel) EC2 instances to evaluate computational performance across different software runtimes, including Docker, Node.js, and WebAssembly. Our conclusion is that Arm is more cost effective in the cloud, especially with lightweight runtimes that are close to the underlying operating system.

Michael Yuan
on Jan 25, 2021
Culture & Methods

Training from the Back of the Room and Systems Thinking in Kanban Workshops: Q&A with Justyna Pindel

In the book Kanban Compass, Justyna Pindel shares her experiences from applying training from the back of the room and systems thinking in her Kanban workshops. She adapted her training approach by connecting with attendees and providing them suitable exercises to maximize learning opportunities.

Ben Linders Justyna Pindel
on Jan 19, 2021
DevOps

Monitoring Microservices the Right Way

Modern systems are more complex to monitor as they tend to emit large amounts of high cardinality data. Recent innovations in open-source time series databases have improved the scalability of newer monitoring tools such as Prometheus. These solutions are able to handle the high scale of data while providing metric scraping, querying, and visualization based on Prometheus and Grafana.

Dotan Horovits
on Dec 03, 2020 1
DevOps

Instrumenting the Network for Successful AIOps

AIOps platforms empower IT teams to quickly find the root issues that originate in the network and disrupt running applications. AI/ML algorithms need access to high quality network data to determine what went wrong and where. Network visibility starts from TAPs around network equipment, and teams can add application instrumentation and logs as data sources for complete insights.

Ron Nevo
on Nov 23, 2020
Architecture & Design

Load Testing APIs and Websites with Gatling: It’s Never Too Late to Get Started

Conducting load tests against APIs and websites can both validate performance after a long stretch of development and get useful feedback from an app in order to increase its scaling capabilities and performance. Engineers should avoid creating “the cathedral” of load testing and end up with little time to improve performance overall. Write the simplest possible test and iterate from there.

Guillaume Corre
on Sep 19, 2020
Architecture & Design

Resilience in Deep Systems

Deep systems, with multiple layers of microservices, have special challenges, and handling them requires the right mindset and tools.

Amir Souchami
on Aug 13, 2020
Architecture & Design

Realtime APIs: Mike Amundsen on Designing for Speed and Observability

In a recent apidays webinar, Mike Amundsen, trainer and author of the recent O’Reilly book “API Traffic Management 101”, presented “High Performing APIs: Architecting for Speed at Scale”. Drawing on recent research by IDC, he argued that organisations will have to drive systemic changes in order to meet the upcoming increased demand of consumption of business services via APIs.

Daniel Bryant
on Aug 07, 2020