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 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 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 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 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, 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 1.3.0 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 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”.
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, 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 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.
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.
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.
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.
Stack Overflow recently announced making its dataset available through Google’s BigQuery. Using regular SQL statements, developers can query the full set of Stack Overflow data including posts, votes, tags, and badges. In this article we explore datasets that are available through Google's BigQuery platform.