Identify critical errors, triage with rich context.
Error tracking is crucial for maintaining the health and performance of software applications. It involves monitoring, recording, and managing errors that occur during application execution to ensure rapid detection, diagnosis, and resolution.
- Errors are detected automatically as they occur during application runtime.
- When an error is detected,relevant information about the error is captured.
Error Tracking reduces noise by intelligently grouping errors into issues across frontend and backend applications.
Automatically aggregate similar errors into issues
Error tracking is crucial for maintaining the health and performance of software applications. It involves monitoring, recording, and managing errors that occur during application execution to ensure rapid detection, diagnosis, and resolution.
Error Reporting: When an error is detected, relevant information about the error is captured and reported. This typically includes the error message, stack trace (which shows the sequence of function calls leading to the error), timestamps, and contextual data such as user actions or system state.
Root Cause Analysis: Developers use error tracking tools to investigate and diagnose the root cause of errors. This involves analyzing stack traces, logs, and associated metadata to understand why the error occurred and how it can be fixed.
Get full-stack visibility through seamless correlation of frontend, backend, and mobile data
To achieve full-stack visibility and seamless correlation of frontend, backend, and mobile data, organizations rely on integrated monitoring and observability solutions.
Real User Monitoring (RUM): Capture and analyze user interactions and performance metrics directly from users' browsers or mobile devices. RUM provides insights into page load times, resource utilization, and user experience metrics.
Application Performance Monitoring (APM): Monitor backend services, APIs, and microservices. APM tools provide insights into response times, transaction traces, database queries, and server-side performance metrics.
Get notified about the most pressing issues
To ensure you stay on top of critical issues affecting your applications and infrastructure, consider implementing a robust notification system as part of your monitoring and observability strategy.
Set Thresholds: Establish alert thresholds based on normal operating conditions. Alerts can be triggered when metrics exceed predefined thresholds, indicating potential issues.
Real-Time Monitoring: Implement real-time monitoring tools to continuously track performance metrics. This allows you to detect anomalies and issues as soon as they occur.
Anomaly Detection: Utilize anomaly detection algorithms to automatically identify abnormal patterns in metrics that may indicate issues before they impact users.
Error Tracking
Successful cloud migration can transform your organization by offering numerous benefits. Bigtecsys provides tools to benchmark and optimize the performance of on-premises workloads before and after migration, ensuring a smooth and efficient transition
Hybrid Cloud Observability
Self-hosted observability to take you from reactive to proactive across on-prem and hybrid IT environments.
- Deployment to meet your needs, whether behind your firewall or self-hosted in AWS®, Microsoft® Azure, or GCP®
- Flexible licensing – allocate nodes across multiple instances – and optimal scalability
- Built from our years of network management leadership and enhanced with machine learning
Bigtecsys Observability
SaaS-delivered observability to simplify management of cloud-native and hybrid IT environments.
- Visibility across your hybrid IT landscape, including custom apps, microservices, Kubernetes, and containers
- Accelerate insights with unified data across metrics, traces, logs, and user experience
- Extensible with open-source framework, public API, and out-of-the-box third-party integrations
Database Performance Analyzer
Cross-platform database monitoring and management software built for SQL query performance monitoring, analysis, and tuning
- Agentless and designed to be easy to install with quick time-to-value and low overhead of 1% or fewer
- Runs on either Windows® or Linux® servers, in Azure, or as an AWS subscription
- Goes beyond problem analysis by providing expert advice with table tuning and query advisors
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From security to observability and beyond, Bigtecsys helps you go from visibility to action.
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