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Operational data synchronization systems face a critical challenge: maintaining visibility and control over real-time data flows between enterprise systems while ensuring zero downtime. Traditional monitoring approaches often fall short when debugging complex data pipelines that span CRMs, ERPs, and databases in production environments.
When building distributed data synchronization platforms with Elixir, engineers need direct access to running processes to understand system behavior without disrupting critical business operations. This becomes especially important when managing bi-directional sync processes where data consistency across multiple systems is paramount.
Most data integration platforms struggle with operational visibility. Teams building custom synchronization solutions between systems like Salesforce and NetSuite often face these debugging challenges:
The BREAK menu allows you to interact with running Elixir sessions in various ways and is part of the Erlang Virtual Machine (commonly known as the BEAM), making these options available when running Erlang applications and shells [1].
When you press Ctrl-C once in an Elixir session, you access a powerful debugging interface:
BREAK: (a)bort (A)bort with dump (c)ontinue (p)roc info (i)nfo
(l)oaded (v)ersion (k)ill (D)b-tables (d)istribution
This menu becomes available in multiple scenarios:
Process Information (p): Lists all running processes with memory usage, message queue lengths, and execution states—critical for identifying bottlenecks in data synchronization workflows.
System Info (i): Prints information about memory usage and allocation, producing large volumes of data that can help identify memory leaks [1]—essential for monitoring resource consumption in high-volume sync operations.
ETS Tables (D): Displays database table information including size and performance metrics, helping identify data caching issues in synchronization processes.
Distribution (d): Shows information about all nodes in your distributed Elixir/Erlang application, helpful when debugging connection problems [1]—crucial for multi-system data sync architectures.
Continue (c): Returns to the regular IEx session [2] safely without disrupting running processes.
These commands print information about your local IEx session even when you've opened a remote shell to a running application [1]. This limitation creates significant challenges for production debugging, especially when:
While the BREAK menu provides valuable development debugging capabilities, production data synchronization systems require enterprise-grade monitoring and observability built specifically for real-time data flows.
Stacksync is built for mission-critical operations and provides instant retry and rollback capabilities, comprehensive logging, and proactive alerting for any sync issues . This eliminates the need for manual debugging of complex integration failures through low-level system introspection.
Unlike manual debugging approaches, Stacksync provides:
Automated Error Detection: Immediate alerts about record syncing issues over email, Slack, PagerDuty and WhatsApp, with the ability to resolve issues from a centralized dashboard using retry and revert options [3].
Comprehensive Pipeline Visibility: Stacksync offers a monitoring dashboard where you can track and understand exactly your data flows and sync operations , providing the observability that manual debugging techniques cannot match.
Built-in Reliability: Stacksync features enterprise-grade security, full audit trails, and robust error handling to ensure data integrity and compliance .
When comparing operational monitoring capabilities:
Traditional Debugging (BREAK Menu):
Stacksync's Integrated Approach:
True bidirectional sync offers a fundamentally different approach where changes in any connected system—whether CRM, database, or other platform—propagate instantly to all other systems. This real-time consistency eliminates the complexities of traditional integration methods while enabling development teams to focus on building core product features .
Bi-Directional Sync Engine: This is not merely two one-way syncs running in parallel. Stacksync employs a stateful engine that understands data relationships, maintains referential integrity, and automatically resolves conflicts. When an order status is updated in an ERP, that change is instantly and accurately reflected in the CRM, and vice versa, with no data loss or corruption .
Enterprise Scalability: Stacksync is architected to handle enterprise-level data volumes from day one, capable of processing millions of records without performance degradation, using efficient event queues to manage data buffering and batching without the complexity of systems like Kafka .
No-Code Implementation: The platform features an intuitive, no-code interface that allows users to configure complex syncs in minutes, while providing pro-code options for advanced use cases, offering maximum flexibility for technical teams .
BREAK Menu for Development:
Stacksync for Production Operations:
While Elixir's BREAK menu provides essential debugging capabilities for development environments, production data synchronization systems demand purpose-built observability and reliability mechanisms. The complexity of maintaining consistent data across enterprise systems requires automated monitoring, conflict resolution, and recovery capabilities that manual debugging cannot provide.
Stacksync accelerates integration projects by reducing integration timelines by over 90% with no-code, two-click setup, eliminating the need for custom scripts or third-party middleware while providing real-time, two-way sync that instantly reflects data changes across databases, CRMs, and engineering tools .
For teams serious about operational data synchronization, investing in enterprise-grade solutions like Stacksync eliminates the complexity of manual debugging while ensuring reliable, scalable, and monitored data flows across your entire technology stack.
