Pyroscope

Observe and debug performance issues in code, infrastructure, and CI/CD pipelines. Pyroscope is a continuous profiling system that collects, stores, and queries high-cardinality application performance data, enabling the identification of CPU and memory bottlenecks.

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• Low-Impact Agents. Pyroscope agents instrument applications with minimal runtime overhead. These agents, available for multiple languages such as Go, Python, and Java, efficiently capture stack trace data, making monitoring in production environments possible without degrading service.
• Efficient Storage Engine. This component is designed to handle large volumes of profile data with high label cardinality. It uses compression techniques and a specific design that reduces storage costs and allows retaining profile information for extended periods for historical analysis.
• Specific Query Engine (FlameQL). FlameQL is a query language created to select and aggregate profile data. It offers the possibility to filter and segment information based on multiple dimensions, such as service name, custom labels, or time range, facilitating the location of specific issues.
• System-Wide Continuous Profiling. The platform continuously captures CPU and memory usage profiles from all instrumented services. This approach provides visibility into application behavior at any time, helping to identify trends and anomalies in resource consumption.
• Ad Hoc Profiling Scripts. It allows the upload and centralized analysis of profiles generated by external tools, such as `pprof`. This function unifies different sources of performance data in one place for correlation and study, integrating information from diverse environments and collection methods.
• Profile Exemplars. Connects profiling data with OpenTelemetry traces. This linkage makes it possible to obtain specific profiles for a particular request or span, enriching existing telemetry data with detailed code performance information in context.
• Flame Graph Visualization. Presents profile data using interactive flame graphs. This visualization allows quickly understanding which functions consume the most resources by showing stack traces hierarchically and proportionally to the time or memory used.
• Diff Comparison. Offers the ability to compare two profiles or two points in time for the same service. The tool highlights the differences in resource consumption between the compared versions, being practical for validating the impact of a deployment or code change.
• Grafana Integration. Includes an official plugin for Grafana. This integration allows visualizing flame graphs and Pyroscope metrics directly within Grafana dashboards, consolidating performance observability with other system metrics.
• Query and Export API. Exposes an API that allows querying profile data in JSON and other compatible formats. It facilitates analysis automation, creation of custom reports, and integration with internal systems or engineering workflows.
• Multi-tenant Support. Structures data and access based on tenants. This feature isolates information from different teams or clients within the same installation, adapting to corporate environments or service providers that need to separate data.
• Profile-Based Alerting. Configures rules that trigger alerts when certain performance patterns, such as an increase in CPU consumption of a specific function, exceed a defined threshold. Alerts can be sent to systems like Slack or PagerDuty for quick response.

Pyroscope was conceived and developed starting in 2020 by a team of engineers focused on solving observability challenges in microservices architectures and distributed systems. The main development of the server backend and agents is done in the Go programming language.

Alternatives to Pyroscope:

SysMonTask

SysMonTask is a system monitoring tool designed to provide detailed information about hardware performance and running processes.

Price: Free   Size: 47.7 MB   Version: 1.3.9   OS: Linux