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sf-bedrock

Name: sf-bedrock
Author: sf-bedrock

The software provides a streamlined framework and practical toolkit for Salesforce development teams to efficiently manage background processes, scheduled tasks, event handling, and REST API integration, addressing the complexities of enterprise Salesforce architecture. Its key features include support for asynchronous event relays, durable event publishing, scheduled job execution, dependency injection, lightweight testing, and platform-safe automation, all designed to facilitate clean, maintainable code while solving challenges related to data management, platform limits, and automation reliability, making it ideal for Salesforce developers, architects, and administrators seeking scalable, reusable solutions for complex enterprise workflows.

sf-bedrock can be found in Sales Automation Software categories.

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Consumer Type: B2B

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sf-bedrock Main Features

Testing
Allows for fast tests by simulating reads, writes, cache, limits, and asynchronous actions without slow database setups.
Toolkit
It includes tools for fast testing, handling data cleanly, and automating tasks safely on the platform.
Frameworks
Provides shared patterns for async work, events, schedules, and APIs so developers don’t have to create these from scratch.
Open Source
sf-bedrock is open source under MPL-2.0 license, so teams can inspect, use, and improve the code freely.
Main Purpose
sf-bedrock gives Salesforce teams simple code frameworks for background tasks, events, scheduled jobs, and REST APIs.
Daily Helpers
Offers small, easy-to-use tools for managing records, queries, data changes, cache, feature flags, and testing triggers.
Documentation
It provides search tools and documentation to help users find information, although some documents may not match yet.
Pre-release Status
sf-bedrock is still being developed and its APIs and documents may change before it is officially released.
Async Background Work
Supports background tasks that track status, process in batches, retry on failure, prioritize, and handle multiple threads when needed.

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