Microservices Day London 2016
| title | author | length |
|---|---|---|
| Highlights | 02m | |
A concise roundup of Microservices Day London 2016 that stitches together session takeaways, panel disagreements and the practical tensions between cloud… | ||
| How to enable organizations to go faster | Fred George | 32m |
Claims concrete velocity: teams push to production every 3.5 minutes, run hundreds of tiny services (Netflix ~600 services, 1–2k LOC) and workshops build… | ||
| Fighting the Good Fight at the Hot Gates of Micro-Services | Adrian Trenaman | 26m |
The site runs roughly 300 microservices that produce a daily noon traffic spike and the team moves features by classifying services, assigning departments of… | ||
| Solving service discovery: Node.js microservices without a registry | Richard Rodger | 27m |
Argues service discovery can be registry-free by using peer-to-peer membership and message patterning: implements the SWIM gossip protocol so each Node.js… | ||
| Microliths: how to avoid traps in your stack and your culture | Jason Melo | 28m |
Claim: moving a monolith into hundreds of services only helps if synchronous coupling is removed; tools used are Kafka, Spark, ELK (Elasticsearch Logstash… | ||
| Containers as an enabler for microservices and what it means for our industry | Keith Lynch | 25m |
Argument: containers package application plus libraries into immutable images so teams build once and move them unchanged through environments, with Docker and… | ||
| Micro-transformation | Clifton Cunningham | 27m |
Company replatforms from Windows 2003 datacenter to AWS, deploys everything as microservices with 100 services and shuts the legacy datacenter down. CI/CD… | ||
| Microservices and Containers. How much faster than a VM?! | Anne Currie | 24m |
Claim: containers instantiate in seconds versus minutes so infrastructure can reuse capacity in real time instead of autoscaling. Experiment: a simple… | ||
| Data integration in the world of microservices | Fabian Wollert, Valentine Gogichashvili | 22m |
Zalando describes a working data integration pipeline: an event-first architecture feeding a custom ziki platform that sits on Kafka and Nakadi, materializes… | ||
| Autobahn in the cloud | Christian Deger | 25m |
Company migrates a 2.4M-listing monolith running on .NET Windows Oracle and ~2,000 VMware VMs to JVM/Scala on AWS, carving vertical self-contained systems… | ||
| Panel Discussion Lessons Learned from the Field | Joe Drumgoole, Peter Elger, Keith Lynch | 38m |
Concrete lessons emerge not abstract slogans: OpenShift failed without high-level buy-in and management coaching proves mandatory for organizational change… | ||
| nothing matches | ||