InfoQ Homepage Infrastructure Content on InfoQ
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A Comparison between Rust and Erlang
This article will focus on a comparison between Erlang and Rust, detailing their similarities and differences. It may be interesting to both Erlang developers looking into Rust and Rust developers looking into Erlang. A final section will detail more about each of the language capabilities and shortcomings and argue for the possibility of leveraging both languages' strengths in the same project.
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When Streams Fail: Implementing a Resilient Apache Kafka Cluster at Goldman Sachs
At QCon New York, Anton Gorshkov presented “When Streams Fail: Kafka Off the Shore”. The talk shared insight into how a platform team at a large financial institution design and operate shared internal messaging clusters like Apache Kafka, and also how they plan for, and resolve, the inevitable failure that occurs.
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Events, Flows and Long-Running Services: A Modern Approach to Workflow Automation
Recent discussions around the microservice architectural style has promoted the idea that “to effectively decouple your services you have to create an event-driven-architecture”. Although events can decrease coupling, we must avoid the mistakes of traditional SOA: centralised control should to be avoided, and workflow engines must be less painful to use and operate.
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FPGAs Supercharge Computational Performance
Originally used in the development of new hardware, new, cloud-based FPGAs are making the technology more accessible. The dramatic improvements in speed and lower costs over traditional CPUs means more companies can start benefiting from the technology. FPGAs are fundamentally concurrent, which makes them an ideal tool for data-intensive, parallel processing problems.
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Virtual Panel: Microservices Interaction and Governance Model - Orchestration v Choreography
The recent trend in application architectures is to transition from monolithic applications to a microservices model. This transition without a good service interaction model will most likely result in chaos and a service landscape that's hard to govern and maintain. InfoQ spoke with domain experts on this topic and compiled their responses in this virtual panel article
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/articles/big-data-in-finance/en/smallimage/logo-ieee-1508304511929.jpeg)
Big Data and Big Money: The Role of Data in the Financial Sector
When we consider the 3Vs of big data— volume, velocity, and variety—it is hard to think of many sectors whose requirements fit so nicely into the guidelines at finance.
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Retiring Mainframe Programmers: Should I Care?
We stay up on new languages, frameworks, and architectures yet ignore the value of mainframe applications. Mainframes manage 70% of the world’s transactions yet its programmer workforce is rapidly retiring baby boomers. And millennials have no interest in mainframe careers. This article describes that state of mainframe applications, bad talks management, and then provides detailed solutions.
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Video Stream Analytics Using OpenCV, Kafka and Spark Technologies
What is the role of video streaming data analytics in data science space. Learn how to implement a motion detection use case using a sample application based on OpenCV, Kafka and Spark Technologies.
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Five Steps to Migrate Unisys Mainframes to AWS
If you have a Unisys mainframe, you may be thinking that cloud computing isn’t an option. But cloud computing has quickly matured, as have the offerings of service providers like AWS, and it’s now proving itself to be a viable option for running mainframe application workloads.
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Apache Beam Interview with Frances Perry
InfoQ Interviews Apache Beam's Frances Perry about the impetus for using Beam and the future of the top-level open source project and covers the thoughts behind the programming model as well as some of the touch-points in integration with other data engineering tools like Apache Spark and Flink.
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/articles/Reladomo-Open-Source-ORM-Part2/en/smallimage/logo-java.jpg)
Introducing Reladomo - Enterprise Open Source Java ORM, Batteries Included! (Part 2)
Goldman Sachs is widely known as a leader in investment banking, but they are very much a leading technology firm as well. Continuing our exploration of Reladomo, the primary Java ORM used at GS and now open source, GS Technology Fellow, Mohammad Rezaei looks at advanced features, such as sharding, caching, bitemporal access, performance, and testing.
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Machine Learning Techniques for Predictive Maintenance
In this article, the authors explore how we can build a machine learning model to do predictive maintenance of systems. They discuss a sample application using NASA engine failure dataset to predict the Remaining Useful Time (RUL) with regression models.