Holly Cummins
Cloud Chaos and Microservices Mayhem
#1about 4 minutes
The evolving role of developers in the cloud era
Modern developers must expand beyond just writing apps to include operations, security, and financial management (FinOps) to succeed in the cloud.
#2about 6 minutes
Adapting infrastructure practices for the cloud environment
Cloud adoption requires new approaches to instance management to avoid zombie servers, externalizing logs, and rethinking application packaging with containers.
#3about 3 minutes
Optimizing Java performance for cloud-native applications
Cloud environments shift the focus from long-term throughput to rapid startup and low memory usage, making ahead-of-time (AOT) compilation with frameworks like Quarkus highly effective.
#4about 4 minutes
Aligning release schedules with microservices architecture
Adopting microservices without changing organizational processes like infrequent release schedules negates the benefits and leads to cargo culting without achieving agility.
#5about 6 minutes
The dangers of the distributed monolith anti-pattern
Microservices can easily become a distributed monolith with hidden coupling and increased complexity, losing the benefits of compile-time safety without gaining true independence.
#6about 3 minutes
Using the test pyramid for microservices
The test pyramid provides a strategy for microservices testing, with contract tests offering a balance between the low cost of unit tests and the high confidence of integration tests.
#7about 6 minutes
Demonstrating hidden coupling with a simple refactoring
A live coding demo shows how a seemingly safe backend refactoring can break the frontend, revealing hidden coupling between services that is not caught by the compiler.
#8about 8 minutes
Implementing consumer-driven contract tests with Pact
Using the Pact framework, a consumer-driven contract test is created to define expectations, which then automatically verifies the provider and catches breaking API changes.
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