At GlueCon 2015, Adrian Cockcroft presented a list of rules for monitoring microservice and container-based applications. In addition to these guidelines, Cockcroft also highlighted a series of challenges for monitoring cloud-native container-based systems, and introduced his ‘Spigo/simianviz’ microservice simulation and visualisation tool.
Performance is key to mobile apps. Google provides a lot of training material to improve performance in Android apps. A brief overview of tips and techniques.
New Relic has released a set of new features to its Software Analytics Platform. Service Maps is a real time visual map focused on services. Together with a tool for Docker monitoring, a database dashboard for NoSQL databases and an unified alerts platform, the company wants to reduce complexity in modern software architecture.
This article outlines some of the performance optimizations done for the Chakra engine and the Octane and Jet Stream benchmark results for Edge, Chrome and Firefox.
Weaveworks, creators of the Weave Docker virtual networking solution, have released a pre-alpha version of 'Weave Scope', an open source developer-focused container monitoring tool. Scope automatically generates a map of containers, enabling developers to visualise, monitor, and control applications by using the information exposed to drive deployment and operational decisions.
Apple have announced that the company’s popular Siri iOS-based intelligent personal assistant is powered on the backend by Apache Mesos, the open source cluster manager. The Mesosphere blog states that Apple have created a proprietary PaaS-like scheduler framework named J.A.R.V.I.S., which allows developers to deploy Siri services in a scalable and fault-tolerant manner.
CoreOS has released Tectonic, a new product created from the aggregation of the CoreOS stack and the Google Kubernetes platform. Tectonic packages up different container technology and puts an UI on top of containers which includes a management console, an integrated registry and other tools to automate deployment.
Microsoft has announced and made available the preview of Azure Service Fabric (ASF), a cloud platform including a runtime and lifecycle management tools for creating, deploying, running and managing microservices. ASF microservices can be deployed on Azure or on-premises on Windows Server private or hosted clouds. Support for Linux is to come in the future.
Google has published the paper "Large-scale cluster management at Google with Borg", unveiling details on a technology that was very little spoken about in the past.
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.
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