- There is a need to separate API management from delivery
- Complete solutions have become very expensive
- There is a trend towards microservices, serverless, service mesh, and other technologies
- We want containerized solutions that are very easy to deploy and scale
- Development time is too long and thus too expensive
- Security is more important than ever but conflicts with usability
This approach provides tremendous scalability and agility. A rich transformation component is based on Google’s Jsonnet that has evolved into a highly performant component called DataSonnet.
Since it leverages open source, the investment from a total cost of ownership perspective is minimal. In addition, ArganoMS³ has included archetypes and accelerators to improve time to value.
Integration platforms have become a prominent component for enterprises to manage complexities between on-premise, SaaS, custom applications, and the vast number of analytics technologies used today. However, the one size fits all approach of some vendors has become an obstacle to innovation and cost management, as well as vendor lock- in.
Tavros provides an open approach that addresses all of the same use cases as the major vendor platforms but in a more cost-effective and modern approach based on containerization, microservices, service mesh, and API Management.
ArganoMS³ enhanced tried and true technologies such as Spring Boot and Camel, which will be as part of the Apache Camel 3.7 release as DataSonnet 2.0, and then enhanced its value through modern containerization technologies. The open stack encompasses all critical aspects of integration and container management such as scalability, reliability, and observability. With a rich transformation engine, thorough monitoring and logging, robust security, and easy deployment, the platform is meant to minimize complexity while providing enterprise-level capabilities. In addition, ArganoMS³ has optimized several features in order to provide accelerated development, a smaller footprint, and improved runtime performance.