Is Scala on the Way Out?
During the interim of writing this post and now: Scala has fallen dramatically on language indexes and has gone from #30 to #33 (ranked below FORTRAN and COBOL) while functional Java languages like Groovy has risen to #16 and is being considered for language of the year TypeSafe.. I mean LightBend.. is now working on Lagom, a 'Java-first' framework. Lightbend has hired a Java evangelist. New versi
Sleek and Fast: Speeding Up your Fat Web Client
Editor’s Note: This post is based on Sarah’s talk “Sleek and Fast: Weight Management for your Fat Web Client” given at the Grace Hopper Conference this year in the Software Engineering track. The need for speed In the fall of 2016, our flagship engineering team completed an initial feature build-out for the new LinkedIn desktop site built on our new Pemberly architecture. The site was released to
Application Pauses When Running JVM Inside Linux Control Groups
Application Pauses When Running JVM Inside Linux Control Groups Linux cgroups-based solutions (e.g., Docker, CoreOS) are increasingly being used to host multiple applications on the same host. We have been using cgroups at LinkedIn to build our own containerization product called LPS (LinkedIn Platform as a Service) and to investigate the impact of resource-limiting policies on application perform
Instant Messaging at LinkedIn: Scaling to Hundreds of Thousands of Persistent Connections on One Machine
Instant Messaging at LinkedIn: Scaling to Hundreds of Thousands of Persistent Connections on One Machine Coauthor: Cliff Snyder We recently introduced Instant Messaging on LinkedIn, complete with typing indicators and read receipts. To make this happen, we needed a way to push data from the server to mobile and web clients over persistent connections instead of the traditional request-response par
Introducing {py}gradle, an open source Python plugin for Gradle
Introducing {py}gradle, an open source Python plugin for Gradle Image Credit: Yiying Lu, Copyright: Gradle Inc. Gradle is a build automation tool that supports many programming languages. It coordinates the process of building software between multiple different code repositories and automates a number of important related tasks, like checking dependencies and warning programmers if something they
Stream Processing Hard Problems – Part 1: Killing Lambda
We live in an age where we want to know relevant things happening around the world as soon as they happen; an age where digital content is updated instantly based on our likes and dislikes; an age where credit card fraud, security breaches, device malfunctions and site outages need to be detected and remedied as soon as they happen. It is an age where events are captured at scale and processed in
A comprehensive comparison of Jupyter vs. Zeppelin
No choice is not good. But life could be complicated with too many choices (especially when we have no idea how to make decision). As a lifelong student of data science and technology in general, I usually run into challenges of what tool to use and fall in love with. That's why I'm writing this post to help learners like myself. I'm not going to talk about the commercial technologies (such as Ada
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Building Smart Replies for Member Messages
Fixing the Plumbing: How We Identify and Stop Slow Latency Leaks at LinkedIn
ParSeq: Asynchronous Java Made Easier
Test Strategy for Samza/Kafka Services
Introducing and Open Sourcing Flashback, an Internet Mocking Tool
Dyno: How LinkedIn Determines the Capacity Limits of Its Services
IPv6 Inside LinkedIn Part III: The Elephant in the Room
IPv6 Inside LinkedIn Part II: Back to the Future
IPv6 at LinkedIn Part I: “ChippIn” Away at IPv4
Stream Processing Hard Problems Part II: Data Access