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Beam Graduates to Top-Level Apache Project

by Dylan Raithel on  Feb 21, 2017

Beam exits incubation period and graduates to top-level Apache project, Google support and contribution to open source integration for various data processing backends and more.

Relearning Functional Service Design for Microservices: Uwe Friedrichsen at microXchg

by Daniel Bryant on  Feb 19, 2017

The opening talk of the microXchg microservices conference was delivered by Uwe Friedrichsen, and discussed “Resilient Functional Service Design”. Key takeaways included: microservice developers should learn about fault tolerant design patterns and caching; understanding Domain-Driven Design (DDD) and modularity is vital; and aim for replaceability of components rather than reuse.

Deep Learning at Gilt

by Alex Giamas on  Feb 19, 2017

Deep Learning is a rapidly evolving subfield of Machine Learning originating from Neural Networks. Recent algorithmic advances and utilization of GPU parallelization have resulted in Deep Learning based algorithms mastering the game of Go as well as several practical applications. The fashion industry is one of the target sectors for Deep Learning. Gilt is using Deep Learning for real world apps

Microsoft AirSim, a Simulator for Drones and Robots

by Abel Avram on  Feb 16, 2017

Microsoft has developed and open sourced AirSim, a tool that can be used to simulate the flight of drones around the world. The simulator is built on the Unreal Engine and Microsoft will soon add support for robots and other types of vehicles.

Apache Flink 1.2 Released with Dynamic Rescaling, Security and Queryable State

by Alexandre Rodrigues on  Feb 15, 2017

Apache Flink 1.2 was announced and features dynamic rescaling, security, queryable state, and more. The release resolved 650 issues, maintains compatibility with all public APIs and ships with Apache Kafka 0.10 and Apache Mesos support. Flink’s dynamic rescaling allows one to change the parallelism of a streaming job or of an operator within the job.

A Comparison of Some Container Orchestration Options

by Hrishikesh Barua on  Feb 08, 2017

A recent article compares some of the container orchestration options available today. They range from open-source ones that can be self-hosted, to containers-as-a-service offerings, which again range from startups to enterprise players.

MindMeld’s Guide to Building Conversational Apps

by Abel Avram on  Feb 03, 2017

MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.

Apache HBase 1.3 Ships with Multiple Performance Improvements

by Alexandre Rodrigues on  Jan 30, 2017

Apache HBase 1.3.0 was released mid-January 2017 and ships with support for date-based tiered compaction and improvements in multiple areas, like write-ahead log (WAL), and a new RPC scheduler, among others. The release includes almost 1,700 resolved issues in total.

The Infrastructure Behind Twitter: Scaling Networking, Storage and Provisioning

by Daniel Bryant on  Jan 30, 2017

The Twitter Engineering team has recently provided an insight into the evolution and scaling of the core technologies behind their in-house infrastructure that powers the social media service. Core lessons shared included: Architect beyond the original specifications; there is no such a thing as a “temporary change or workaround”; and documenting best practices has been a “force multiplier”.

Q&A with Matt Klein on Creating Envoy at Lyft

by Thomas Betts on  Jan 25, 2017

At the upcoming Microservices.com Practitioners Summit on Jan 31, Matt Klein, a senior software engineer at Lyft, will be presenting his work on Envoy, a Layer 7 communications bus used throughout Lyft’s service-oriented architecture. InfoQ met with Klein to discuss the benefits of creating a custom tool for Lyft’s networking needs, and how it could benefit other microservices architectures.

Apache Eagle, Originally from eBay, Graduates to top-level project

by Alexandre Rodrigues on  Jan 24, 2017

Apache Eagle, an open-source solution for identifying security and performance issues on big data platforms, graduates to Apache top level project on January 10, 2017. Firstly open-sourced by eBay on October 2015, Eagle was created to instantly detect access to sensitive data or malicious activities and, to take actions in a timely fashion.

Docker 1.13 Released with Improved CLI, Compose-File Support for Swarm Mode, and Secrets API

by Daniel Bryant on  Jan 23, 2017 1

Docker Inc, has released version 1.13 of its open source Docker container engine project. This release includes significant restructuring of the Docker CLI, and the introduction of ‘clean-up’ commands to reclaim disk space. Alongside the launch of Docker 1.13, new releases of the supporting toolchain were also made, including: Docker Compose 1.10, Docker Machine 0.9.0, and Notary 0.4.3.

Improving Azure SQL Database Performance Using In-Memory Technologies

by Kent Weare on  Jan 21, 2017 4

In late 2016, Microsoft announced the general availability of Azure SQL Database In-Memory technologies. In-Memory processing is only available in Azure Premium database tiers and provides performance improvements for On-line Analytical Processing (OLTP), Clustered Columnstore Indexes and Non-clustered Columnstore Indexes for Hybrid Transactional and Analytical Processing (HTAP) scenarios.

Multiple DNS Providers to Mitigate DDoS Attacks

by Hrishikesh Barua on  Jan 07, 2017

Distributed Denial of Service (DDoS) attacks against Domain Name System (DNS) providers are increasing in number and scale with the proliferation of insecure IoT devices. While DNS providers have various methods of protecting themselves against such attacks, one of the ways for a website to protect itself is to use multiple DNS providers.

Mathieu Ripert on Instacart's Machine Learning Optimizations

by Alexandre Rodrigues on  Jan 05, 2017

Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.

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