InfoQ Homepage Companies Content on InfoQ
-
Automating Chaos Experiments in Production
Ali Basiri discusses the motivation behind ChAP (Chaos Automation Platform), how they implemented it, and how Netflix service teams are using it to identify systemic weaknesses.
/presentations/netflix-chaos-platform/en/mediumimage/Alibig.JPG)
-
Applying Failure Testing Research @Netflix
Kolton Andrus and Peter Alvaro present how a “big idea” -- lineage-driven fault injection -- evolved from a theoretical model into an automated failure testing service at Netflix.
/presentations/netflix-testing-research/en/mediumimage/doibig.jpg)
-
Winston: Helping Netflix Engineers Sleep at Night
Sayli Karmarkar discusses Winston, a monitoring and remediation platform built for Netflix engineers.
/presentations/netflix-winston/en/mediumimage/Sabig.JPG)
-
Fundamentals of Stream Processing with Apache Beam
Frances Perry and Tyler Akidau discuss Apache Beam, out-of-order stream processing, and how Beam’s tools for reasoning simplify complex tasks.
/presentations/stream-apache-beam/en/mediumimage/doibig.JPG)
-
Petabytes Scale Analytics Infrastructure @Netflix
Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.
/presentations/netflix-big-data-infrastructure/en/mediumimage/doiBIG.JPG)
-
Streaming Live Data and the Hadoop Ecosystem
Oleg Zhurakousky discusses the Hadoop ecosystem – Hadoop, HDFS, Yarn-, and how projects such as Hive, Atlas, NiFi interact and integrate to support the variety of data used for analytics.
/presentations/streaming-hadoop/en/mediumimage/Olebig.JPG)
-
Spring with ApacheNiFi
Oleg Zhurakousky provides a quick introduction to Apache NiFi, demonstrates its core features while concentrating on WHY/WHERE and HOW of integrating with Spring.
/presentations/spring-apache-nifi/en/mediumimage/Olebig.JPG)
-
Real World Microservices with Spring Cloud, Netflix OSS and Kubernetes
Christian Posta explains building microservices with Spring, Spring Cloud, and Netflix OSS and running them on Docker and Kubernetes.
/presentations/spring-cloud-kubernetes-microservices/en/mediumimage/Chrisbig.JPG)
-
Lessons Learnt - Migrating from Spring XD to Spring Data Cloud Flow
Katie Mooney, Dillon Woods and Cahlen Humphreys point out key differences in Spring XD that have been resolved in Spring Cloud Data Flow.
/presentations/spring-xd-data-flow/en/mediumimage/doibig.jpg)
-
Operationalizing Data Science Using Cloud Foundry
Lawrence Spracklen creates a machine learning model leveraging data within MPP databases such as Apache HAWQ or Greenplum integrated with Chorus and then deploying this as a microservice on PCF.
/presentations/alpine-chorus-spring-cloud-foundry/en/mediumimage/Lawbig.JPG)
-
Elastic Efficient Execution of Varied Containers
Sharma Podila reviews the state of containers usage in Netflix, discussing projects Titus and Mantis, AWS integration, and using Fenzo to run an elastic infrastructure for a varied mix of workloads.
/presentations/netflix-containers-2016/en/mediumimage/Shabig.JPG)
-
Azure Service Fabric: Microservices Architecture Made Ridiculously Simple
Chase Aucoin explains using Microsoft Service Fabric to create microservices, demoing how to migrate existing services to Service Fabric.
/presentations/microservices-service-fabric/en/mediumimage/Chabig.JPG)