InfoQ Homepage Case Study Content on InfoQ
-
Powering Flexible Payments in the Cloud with Kubernetes
Ana Calin covers the technical and security challenges Paybase faced and the lessons they learned as they built their cloud-native microservices architecture and integrated with traditional systems.
/presentations/paybase-microservices-arch/en/mediumimage/ana-calin-m-1559809150117.jpg)
-
Change Is the Only Constant
Stuart Davidson talks about real-world examples from Skyscanner where he thinks the decisions they've made have helped them deal with change and which might be interesting to a technical audience.
/presentations/skyscanner-change/en/mediumimage/Stuart-Davidson-m-1559811683697.jpg)
-
Corda: Looking Forward and Back, Blockchain on a JVM Stack
Carolyne Quinn and Mike Ward discuss Corda, an open source enterprise blockchain, and look at technologies used: Kotlin, JVMs, pluggable consensus, Corda Foundation and SGX,.
/presentations/corda-blockchain-jvm/en/mediumimage/Doibig-1559265778122.JPG)
-
Michelangelo Palette: A Feature Engineering Platform at Uber
Amit Nene and Eric Chen discuss the infrastructure built by Uber for Michelangelo ML Platform that enables a general approach to Feature Engineering across diverse data systems.
/presentations/michelangelo-palette-uber/en/mediumimage/Doibig-1559179009887.JPG)
-
The (R)evolution of a Portfolio Wall
Anna Miedzianowska and William Peck discuss the evolution of the Portfolio Wall at Ocado, lessons learned and mistakes to avoid.
/presentations/ocado-portfolio-wall-2019/en/mediumimage/12big-1558926775100.jpg)
-
Habito: The Purely Functional Mortgage Broker
Will Jones talks about Haskell at Habito, some of the wins and trade-offs. He also talks about why functional programming is beneficial for large projects, and with migrating a data store.
/presentations/habito-mortgage-broker/en/mediumimage/Will-Jones-m-1559814749979.jpg)
-
Massive Scale Anomaly Detection Framework
Guy Gerson introduces an anomaly detection framework PayPal uses, focusing on flexibility to support different types of statistical and ML models, and inspired by scikit-learn and Spark MLlib.
/presentations/scale-anomaly-detection-framework/en/mediumimage/Guybig-1558623570290.JPG)
-
Scaling for the Known Unknown
Suhail Patel explains how Monzo prepared for the recent crowdfunding which saw more than 9,000 people investing in the first 5 minutes and covers Monzo's microservice architecture (on Go & Kubernetes)
/presentations/monzo-microservices-arch/en/mediumimage/monzo-microservices-m-1558595085609.jpeg)
-
Docker Data Science Pipeline
Lennard Cornelis explains why they chose OpenShift and Docker to connect to the Hadoop environment, also how to set up a Docker container running a data science model using Hive, Python, and Spark.
/presentations/ing-docker-hadoop/en/mediumimage/Lenbig-1558321090152.JPG)
-
BBC iPlayer: Architecting for TV
David Buckhurst talks about BBC iPlayer and explores the challenges of TV application development. He touches on the next steps for iPlayer as they blur the lines between broadcast and IP television.
/presentations/bbc-iplayer-tv/en/mediumimage/David-Buckhurst-1556177256068.jpg)
-
Airbnb’s Great Migration: Building Services at Scale
Jessica Tai recaps her QCon SF 2018 “Great Migration” presentation then continues the story with a focus on how Airbnb is building, operating, and scaling its expanding network of services.
/presentations/airbnb-services-scalability/en/mediumimage/Jessica-Tai-m-1556178723260.jpeg)
-
It's All about Delivering: A Journey from AWS to Cloud Foundry
Daniel Basten discusses how Talanx adopted the Axon Framework and moved from AWS to PCF.
/presentations/talanx-axon-aws-pcf/en/mediumimage/Danig-1555901014670.JPG)