Pingl is designed for large-scale projects
Pingle's intelligent structure automatically monitors processes that have performance issues or are called too many times. It focuses on pinpoint error detection, so you don't get lost in unnecessary data.
Real-Time Monitoring
For end-to-end transaction analysis
Service Overview
High level performance monitoring
Service Map
Detailed service topology mapping.
Filtering by connection type (database, http, messaging system) and error rate
Database Monitoring
Pinpoint query performance issues and ultimately avoid prolonged downtime
Anomaly Detection
Anomaly detection based on cpu usage, heap memory usage and sqlid
Log Management
Collect, search, and correlate logs from applications faster
Distributed Analysis
Get a complete real-time view of your system in one place, eliminating data silos and tool sprawl. Simplify monitoring and troubleshootingoptions for log correlation, app performance and infrastructure .
Trace Flamegraph
Analyze processes self time and total time with Flamegraph
Oracle Sql Monitor
Easily spot and drill down to database errors before they go critical.
Statistics on each step of the execution plan are tracked against key performance metrics such as elapsed time, CPU time, read and write counts, I/O wait time, and various other wait times. This allows DBAs to analyze SQL execution in greater depth than previously possible and decide on the most appropriate tuning strategies for the monitored SQL statements.
Service Map
Service Mapping is a tool to build a map of all services and applications running in an enterprise IT environment. It identifies all the components and the dependencies between them, providing a real-time view of service topology. This visibility is crucial for understanding how services are interconnected and for managing the complexities associated with them.
Database Monitoring
Database monitoring is important because it allows you to keep a close eye on your database's performance. It helps you identify and address any performance bottlenecks, such as slow queries or insufficient system resources, that could impact your applications and users.
Alerting
Alerts and visuals based on CPU usage, heap memory usage and sqlid
Multidimensional analysis
Client, Server, Internal, Producer, Consumer based analysis
You can analyze latency, impacts, request rate and error rates based on services and operations.
Infrastruture
You can analyze derivative graphs based on cpu, memory, gc, jvm, thread, http. You can query traceid in peaked point ranges from graph details.
Log Management
Powerful filters and fast log query
You can switch from log to trace id and observe all the movements related to that trace id.
Your Data is Safe
A fully secure platform that complies with strict data security rules.
There is no need for internet access on the installed server.