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Why Enterprise Software Should Embed a “MustGather” Feature

By Rohit Pujar posted 10 hours ago

  

In the fast-paced changing digital world today, enterprise software not only needs to work reliably but should also be developed to be resilient, have quick issue resolutions, and customer-focused support. One feature often underrated but incredibly effective in enterprise software, is the "MustGather" feature.

Once pioneered by IBM itself, a MustGather is a product feature or tool that accumulates all the diagnostic data that is required for troubleshooting and debugging. As businesses tend to go more towards automation, self-service, and smart support systems, it's no longer a choice but a necessity to have a MustGather feature embedded.


What is a MustGather?

A MustGather is a diagnostic data aggregation mechanism that:

  • Captures logs, system dumps, configurations, memory snapshots, performance stats, and environmental information.
  • Typically called/invoked by the user (or automatically triggered) when a problem occurs.
  • Packages the information in a structured format to be used by developers, support, or engineering to diagnose.

Benefits to End Users: Performance, Time, and Revenue

When customers or internal users can execute a MustGather with one command or button, it results in several concrete benefits:

1. Quicker Issue Resolution

  • Simplifies the back-and-forth retrieval of logs and manual data gathering.
  • Reduces Mean Time to Resolution (MTTR) by offering all pertinent information at once.
  • Makes users experience faster bug fixes and patches, getting them back to work sooner.

2. Reduced Downtime = Saved Revenue

  • In companies where downtime per minute may run into thousands of dollars, rapid diagnostics avert possible cash bleeding.
  • Averts chain failure in dependent systems by identifying root causes beforehand.

3. Elevated System Visibility to End Users

  • MustGather frequently provides visibility into configuration mismatches, memory leaks, version discrepancies, etc.
  • Trains users to diagnose and resolve low-priority issues themselves without requiring support.

4. Enable Proactive Monitoring

  • The formatted output can be used in automated health checks or AI-based incident prediction systems.
  • Early detection translates into less firefighting and more uptime.

5. Empower L1/L2 Support and Field Engineers

  • Support staff can directly evaluate problems without going up to development teams.
  • Saves on escalations and field visits.

Benefits to Enterprises Offering MustGather: Trust, Innovation, and Revenue

Companies that build this feature into their software reap benefits across various dimensions:

1. Customer Satisfaction and Trust

  • Users like transparency and empowerment.
  • Dials down frustration and enhances trust that the vendor is proactive and customer focused.
  • Improves SLAs through enhanced resolution turnaround.

2. Cost Savings

  • Saves total support costs by:
    • Avoiding repeated context-gathering.
    • Keeping unnecessary escalations in check.
    • Reducing reliance on high-cost engineering hours for root cause analysis.

3. Rich Data for Product Improvement

  • MustGather logs aggregated (with permission) can:
    • Influence roadmap decisions.
    • Disclose systemic flaws or often misconfigured elements.
    • Aid in prioritization of enhancements yielding greatest ROI.

4. Revenue Streams Via Premium Support

  • Suppliers may provide added-value diagnostic offerings or “Smart MustGather” tools as part of premium support plans.
  • White-labeled diagnostic tools may be resold/licensed to partners or incorporated into ecosystem platforms.

5. Fast-tracking DevOps and Continuous Improvement

  • Real-world usage patterns, performance metrics, and failure points are made available to development teams.
  • Facilitates continuous tuning and quicker bug report validation.

Pros and Cons of MustGather: A Balanced View

Pros

Cons

Quick Diagnostics

Can reveal sensitive information if not properly secured

Lowered support costs

initial engineering investment is necessary

Increases trust and transparency

Over-collection can produce inflated data sets

Supports self-healing ecosystems

Misconfigured MustGather results in irrelevant data collection

Data-driven product enhancement

Requires frequent updates to conform to evolving architectures


Real-World Usages and Examples

  • Database Platforms: MustGather can identify slow-performing queries, schema inconsistencies, or corrupted indexes.
  • Middleware/Integration Platforms: Instantly identifies misconfigured data flows, memory leaks, or hung threads.
  • Web Servers or Application Servers: Gives a snapshot of request load, heap dump, GC statistics, and deployment state.
  • Enterprise SaaS Products: Allows customer support teams to debug user sessions and usage anomalies rapidly.

Future of MustGather: AI-Driven Diagnostics

New MustGather tools are advancing with:

  • AI/ML integration for predictive diagnostics.
  • Self-fixing functionality that automatically calls for fixes based on pattern matching.
  • Visual dashboards for gathered data to aid interpretation.
  • Fine-grained consent-driven telemetry to meet data privacy laws (e.g., GDPR, HIPAA).

Final Thoughts

In the business world, every second counts. Integrating a well-built MustGather feature is not just a support tool in the classical sense — it is a strategic differentiator. It signifies product maturity, lowers operating expenses, builds customer confidence, and creates a goldmine of insights for ongoing innovation.

If you're constructing or operating an enterprise-level product and haven’t yet incorporated a MustGather capability, it's high time to make it a priority. Because in enterprise software, diagnostics isn’t an option — it's a necessity.


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