Atlassian recently released Stash Data Center, a highly available and horizontally scalable deployment option for its on-premises source code and Git repository management solution Stash. New nodes can be added without downtime to provide active-active clustering and instant scalability.
Google has recently published a paper providing architectural guidelines for creating a scalable and resilient solution running on their cloud platform. This article digests the respective paper extracting the main ideas and advice. These guidelines can be used with minor changes for deploying web applications on other clouds.
Matt Ranney, Chief Systems Architect at Uber, gave an overview of their dispatch system, responsible for matching Uber's drivers and riders. Ranney explained the driving forces that led to a rewrite of this system. He described the architectural principles that underpin it, several of the algorithms implemented and why Uber decided to design and implement their own RPC protocol.
At QCon London 2015 Phil Calcado shared lessons learnt from SoundCloud’s move from a monolithic to microservices architecture, and stated that the core requirements for building a microservice platform include developing capabilities for rapid provisioning, basic monitoring and rapid application deployment.
Matt Rogish talked about using Objectives and Key Results (OKRs) for company, team, and personal goal setting at the No Pants Festival 2015 in Antwerp, Belgium. InfoQ interviewed Rogish about what OKRs are and how you can use them, their strengths and pitfalls, doing annual performance reviews and managing people with numerical goals, and starting with OKRs.
Alachisoft has offered a heavily stripped down version of their NCache product under the Apache 2 open source license. This version only supports .NET clients; unlike the full version while also has support for Java.
Google Cloud Monitoring is now available for free whilst in beta to all Google Cloud Platform customers. The service provides dashboards and alerts for cloud-powered applications, giving developers and operations staff insight and metrics to their services.
jClarity is a relative newcomer on the Java Application Performance Monitoring scene, focusing on tools that deliver a diagnosis and a remedy rather than simply providing metrics that require skilled interpretation. InfoQ spoke to jClarity CEO Martijn Verburg about their new Illuminate Gold release
Are you trying to make performance comparisons between cloud providers? Google, along with a diverse set of collaborators, has released an open-source performance benchmarking framework that tests common workloads across clouds. InfoQ reached out to Google to learn more about this somewhat unusual partnership, and how the industry will benefit from it.
Docker Inc, have released initial versions of their Machine, Swarm and Compose tool set for orchestrating Docker-based distributed applications. The Docker blog states that the current releases are not yet production-ready, but feedback from the community is being requested.
The Apache Aurora community have released version 0.7.0-incubating of the Apache Aurora framework for Mesos, which provides a platform for long-running services and cron jobs. This release includes beta integration with Docker, official support for the Aurora command-line client v2, and performance improvements for running Aurora at scale.
James Turnbull, VP of engineering at Kickstarter and author of The Docker Book, presented at both FOSDEM and Config Management Camp about monitoring, sharing his views on modern, scalable, business oriented monitoring, provided as a service with self service APIs, and integrated in the project development.
The modern.IE Platform Status indicates that now asm.js is in Development. According to Microsoft, the Chakra engine in Windows 10 will support asm.js, and Microsoft has been collaborating with Mozilla to implement it faster. Chrome is going to support it via TurboFan, a new optimizing compiler for V8.
An article by Jin Scott - A tale of two clusters: Mesos and YARN – describes hardware silos created by using different resource managers on different hardware clusters, most popular being Mesos and Yarn and introduces Myriad – a solution allowing to run a YARN cluster on Mesos.
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