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Sajeeb Lohani
Global Technical Information Security Officer (TISO), Bugcrowd
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Glossary

Error tracking


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Table of contents

    What is error tracking?

    1. Error monitoring improves application health. Monitoring for errors lets you identify issues with your applications to consistently maintain high performance.
    2. Error monitoring prevents revenue losses. The faster your team reacts to errors and bugs, the faster they’re able to resolve them. This helps to prevent customer churn by maintaining a good user experience.
    • Track across all browsers, but ignore older versions. A small percentage of users will be using older versions of browsers that are no longer supported by the vast majority of applications. Maintaining consistency across all browsers is challenging enough, but to also account for phased-out versions of those browsers should not fall on your list of priorities at all.
    • Prioritize errors by the volume of users affected. Errors will vary across your user base, some Javascript errors will only touch 0.01% of users, whereas others will affect 20% or more. Make sure to prioritize accordingly as you address the different issues.
    • Filter bot traffic. As you address bugs and errors, you’ll want to focus only on your human users, not bots.
    • Does the tool have good dashboards to understand information and quickly check on application health?
    • Can you trace the errors throughout your services?
    • Does it integrate easily within your applications and infrastructure?
    • Is it capable of discovering the root cause of issues?

    Common features of error tracking tools

    • Automated service discovery
    • Observability dashboards
    • Automated alerts
    • Visual service dependency mapping
    • Automated anomaly detection
    • Global benchmarks
    • Service and infrastructure stack drill-down and analysis

    Error tracking and root cause analysis with Sumo Logic

    Introducing observability as part of the application strategy early is key to reliability. Root cause analysis correlates unusual spikes with OpenTelemetry trace metrics, host metrics, and other relevant metrics to accelerate troubleshooting incidents in applications. But observability requires powerful unified analytics across the entire set of data to quickly uncover insights on the behavior of the application.

    Explore how Sumo Logic’s integrated application observability and monitoring solution for logs enables faster issue resolution and root cause analysis with seamless integration between performance monitoring, distributed transaction tracing, and logs.

    FAQs

    Not always. The accuracy of the analysis depends on data quality, the expertise of the individuals conducting the analysis and the thoroughness of the investigation process. Log data is at the atomic level of data, making it the most helpful and accurate for root cause analysis.

    Yes, Sumo Logic provides log management, infrastructure monitoring, APM and more as part of our full-stack observability solution. Any new telemetry collected from across your tech stack (physical or virtual machines, clouds, microservices, etc.) provides additional context and insights that help you gain visibility into your overall environment.

    Observability is crucial in maintaining service reliability by providing insights into system performance, identifying issues quickly, facilitating timely responses, and enabling proactive measures to prevent incidents. Organizations can ensure high availability, meet customer expectations, and enhance customer experience by monitoring key metrics and utilizing an observability tool. Observability helps detect potential failures, optimize system reliability, and effectively meet reliability standards.