Cloud native technology has been changing the way payment services are architected. In 2020 I presented a series with insights from real implementations adopting open source and cloud native technology to modernize payment services.
The series consisted of six articles and covered architectural diagrams from logical, schematic, to detailed views of the various use cases uncovered.
The architectures presented were based on open source cloud native technologies, such as containers, microservices, and a Kubernetes based container platform. The major omission in this series was to avoid discussing any aspect of cloud native observability. This series will take a look at fixing that omission with an open source standards based cloud native observability platform that helps DevOps teams control the speed, scale, and complexity of a cloud native world for their financial payments architecture.
The part one introduction covered the baseline architecture, defined the payments project, and shared the planning for this series in adding observability to the logical and physical architectures. Part two explored the common architectural elements needed when adding cloud native observability to your financial payments solutions. Part three discussed a physical architecture view of a financial payments example sharing insights into how to deploy your cloud native observability at scale.
In this article we'll walk through a financial calculations physical architecture, exploring how to add scalable cloud native observability and laying out the various deployment options you have for your financial calculations observability solution.