Serverless Pipe Component for Event Data Transformation
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Solution Overview
Problem
In cloud-based computing environments, incompatibilities between services due to differences in code, interfaces, or protocols lead to issues like latency and message failures when trying to process data across services with different APIs or data formats, making it difficult for services to communicate effectively without manual code integration.
Innovation Solution
The implementation of a 'pipe' as a virtual communication channel that allows configuring event transmissions between services, enabling filtering, transformation, batching, and buffering of events without requiring human-provided code, thereby facilitating communication between services with different event structures and processing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If services use different APIs, data formats, or protocols, then service diversity and functionality are improved, but communication reliability and compatibility deteriorate due to latency and message failures
Solution Approach 1:
The patent implements an intermediary service that acts as a mediator between services with different APIs and data formats. This intermediary translates and adapts data between incompatible formats, enabling reliable communication without requiring direct integration between disparate services. The intermediary handles format conversion, protocol adaptation, and data transformation to ensure message delivery reliability.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting data format parameters, API interface parameters, and protocol parameters based on the communicating services. The system modifies data structure parameters, encoding formats, and transmission protocols to match the capabilities of both sending and receiving services, thereby maintaining communication reliability across diverse service types.
2Adaptability or versatility
If manual code integration is provided to mitigate differences between services, then communication compatibility is improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The patent implements self-service by enabling services to automatically discover and adapt to each other's interfaces through the intermediary. Instead of requiring manual code integration, the system allows services to self-configure their communication parameters, automatically register their capabilities, and dynamically adjust their data formats based on the receiving service's requirements, thereby reducing implementation complexity.
Solution Approach 2:
The patent creates a universal intermediary service that handles multiple communication protocols, data formats, and API styles through a single unified interface. This multi-functional intermediary eliminates the need for separate integration code for each service pair, providing universal compatibility across diverse services while simplifying implementation.
3Speed
If direct service-to-service communication is implemented, then response speed is improved, but system complexity and integration difficulty increase
Solution Approach 1:
The patent uses an intermediary that enables direct service-to-service communication without complex point-to-point integrations. The intermediary handles all translation and adaptation logic centrally, allowing services to communicate directly through standardized interfaces while the intermediary manages the complexity of format conversion and protocol adaptation in real-time, maintaining response speed.
4Ease of manufacture
If services are integrated without an intermediary, then deployment simplicity is improved, but adaptability to different service types deteriorates
Solution Approach 1:
The patent implements a universal intermediary that provides standardized communication interfaces for all services. This allows services to be deployed independently with simple configurations, while the intermediary handles the complexity of adapting between different service types, protocols, and data formats, thereby maintaining both deployment simplicity and service interoperability.
Data Source
AI summary
Techniques for a service provider network to communicatively couple services and/or applications in a serverless computing environment. A pipe component can configure a pipe to integrate two services by transmitting data between services and/or applications using the pipe. The pipe may also be configured to transform how a service processes an event, control timing of event transmissions using the pipe, define an event structure for an event, and/or batch events. Pipes enable an application or service to exchange data with a variety of services provided by the service provider network while controlling what type of data is generated, stored, or transmitted.