Daniel is a programmer, consultant, instructor, speaker, and recent author. With over 20 years of experience, he does work for private, educational, and government institutions. He is also currently a speaker for No Fluff Just Stuff tour. Daniel loves JVM languages like Java, Groovy, and Scala; but also dabbles with non JVM languages like Haskell, Ruby, Python, LISP, C, C++. He is an avid Pomodoro Technique Practitioner and makes every attempt to learn a new programming language every year. For downtime, he enjoys reading, swimming, Legos, football, and barbecuing.
Domain Driven Design has been guiding large development projects since 2003, when the seminal book by Eric Evans came out. Domain Driven Design is split up into two parts: Strategic and Tactical. One of the issues is that the Strategic part becomes so involved and intense that we lose focus on implementing these sorts of things. This presentation swaps this focus as topic pairs. For example, when we create a bounded context, is that a microservice or part of the subdomain? When we create a domain event, what does that eventually become? How do other tactical patterns fit into what we decide in the strategic phase?
Domain Driven Design has been guiding large development projects since 2003, when the seminal book by Eric Evans came out. Domain Driven Design is split up into two parts: Strategic and Tactical. One of the issues is that the Strategic part becomes so involved and intense that we lose focus on implementing these sorts of things. This presentation swaps this focus as topic pairs. For example, when we create a bounded context, is that a microservice or part of the subdomain? When we create a domain event, what does that eventually become? How do other tactical patterns fit into what we decide in the strategic phase?
In this day-long work workshop, we will walk through a catalog of all the common architectural design patterns. For each design pattern, we will run docker-compose files that demonstrate the strengths and weaknesses of those design patterns. So you have a first-hand, full-on, and highly engaged full-day workshop to give you the knowledge you need to make critical architectural choices.
This workshop builds an entire event driven data pipeline with Machine Learning and Kafka. From Kafka where we use producers or Kafka Connect to generate information, we then will Kafka Streams to apply a machine learning model to make business decisions.
This workshop builds an entire event driven data pipeline with Machine Learning and Kafka. From Kafka where we use producers or Kafka Connect to generate information, we then will Kafka Streams to apply a machine learning model to make business decisions.
Canary Deployments are the last ingredient of any Continuous Delivery or Continuous Deployment rollout. A canary deployment is a deployment strategy that releases an application or service incrementally to a subset of users. All infrastructure in a target environment is updated in small phases (e.g., 2%, 25%, 75%, 100%). This control makes a canary release the lowest risk-prone compared to all other deployment strategies, like the blue-green strategy. If you need to back out of a production deployment quickly without much disruption, then canary deployments may be an excellent practice to set up.