Architecture
Presentations
Architectures Panel
How do big operators differ from smaller disruptors? This panel will examine the different architectures that power these systems.
Secrets at Planet-Scale: Engineering the Internal Google KMS
We propose to discuss Google’s internal key management system for cryptographic key material which is a critical part of Google's overall strategy for user data protection. The talk will cover the design choices and strategies that Google chose in order to build a highly reliable,...
Evolutionary Architecture as Product @ CircleCI
Organizations continually evolve their technical architectures in order to adjust to the changing needs of their business. For example: systems must scale with increasing customer demand, tools must create efficiency in growing teams, and implementations are generalized to support...
Architectures That Scale Deep - Regaining Control in Deep Systems
We often hear about architectural "scale" as if it's one-dimension and linear. In fact, it is neither, and that's breaking our tools and processes. Where modern, microservice-based architectures are concerned, "large-scale systems" aren't simply larger versions of...
Practical Change Data Streaming Use Cases With Apache Kafka & Debezium
Debezium (noun | de·be·zi·um | /dɪ:ˈbɪ:ziːəm/) - Secret Sauce for Change Data CaptureApache Kafka is a highly popular option for asynchronous event propagation between microservices. Things get challenging though when adding a service’s database to the picture: How...
Modern Data Architectures Open Space
Session details to follow.
Interviews
Evolutionary Architecture as Product @ CircleCI
What are your goals for the talk?
The goal of the talk is to impress upon people the relationship between their industry and the product they're offering, and the way in which they choose to build their software. As we grow as engineers and leaders, there becomes a stronger connection between the work that we do every day from a technical perspective and the...
Read Full InterviewPractical Change Data Streaming Use Cases With Apache Kafka & Debezium
What do you want people to leave the talk with?
Three things, mostly. One touches a bit on the outbox pattern. Friends don't let friends do dual writes. That's one of the points I would like to talk about. The next one, people should get an understanding of what it is in there for them if they would use the change data capture. What are the use cases? How could they benefit...
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