Where did microservice architectures come from and where are they going? Architecture patterns are optimizations based on assumptions
about what is expensive or difficult vs. what is cheap or easy. As technology evolves things that were formerly hard to do become
trivial, and a disconnect arises that causes old architectural and organizational patterns to become obsolete, and new ones to appear.
Over the last few years cloud and containerization have driven a move to microservice architectures, serverless deployments and
integrated DevOps based organizations.
Products, the organizations that build them and the architectures that implement them all need to be able to evolve as they adapt to changes on shorter and shorter timescales. This talk will describe how to simulate and visualize large scale microservices deployments in a few seconds.
This tutorial goes into depth on the business need for speed that leads to microservices and the characteristics of existing microservice architectures. In addition, there will be a hands-on exercise to model your existing architecture, a future state, and the step by step migration to get there.
The audience is developers, architects, technical leaders, operations engineers, and anybody interested in the design and architecture of services and components. As part of this training, attendees get hands-on in simulating their own microservice architectures, using the open source spigo/simianviz tool.
While no experience of microservices or SOA is necessary, it would be useful. Moreover, some awareness of cloud architectures, web services, and DevOps practices would also help.
A laptop where you have admin rights to install software and the ability to sync to Github to get the code and contribute changes. We will use the Go language runtime (currently version 1.4.2). Windows, MacOSX, and Linux are supported.
Adrian Cockcroft has had a long career working at the leading edge of technology. He’s always been fascinated by what comes next,
and he writes and speaks extensively on a range of subjects. At Battery, he advises the firm and its portfolio companies about
technology issues and also assists with deal sourcing and due diligence.
Before joining Battery, Adrian helped lead Netflix’s migration to a large scale, highly available public-cloud architecture and the open sourcing of the cloud-native NetflixOSS platform. Prior to that at Netflix he managed a team working on personalization algorithms and service-oriented refactoring.
Adrian was a founding member of eBay Research Labs, developing advanced mobile applications and even building his own homebrew phone, years before iPhone and Android launched. As a distinguished engineer at Sun Microsystems he wrote the best-selling “Sun Performance and Tuning” book and was chief architect for High Performance Technical Computing.
He graduated from The City University, London with a Bsc in Applied Physics and Electronics, and was named one of the top leaders in Cloud Computing in 2011 and 2012 by SearchCloudComputing magazine. He can usually be found on Twitter @adrianco.