How To Use AeonScope: A Practical Step‑By‑Step Guide For 2026

A user types “show me how aeonscope” and needs clear steps. This guide answers that request. It shows core tasks, setup steps, and common fixes. It uses plain steps and short sentences. It assumes a basic technical background. The guide helps a user move from install to export fast. It avoids jargon and keeps each step direct.

What AeonScope Does And When To Use It

AeonScope handles time-series ingestion, annotation, and visualization for sensor and log data. A user chooses AeonScope when they need fast indexing, flexible tagging, and interactive charts. Analytics teams use it for anomaly detection and trend reports. Engineers use it for root-cause analysis and performance monitoring. Data teams use it to combine streams and apply simple transforms. If a user needs real-time alerts and compact storage, they pick AeonScope. For batch-only tasks, a user may prefer a simpler CSV tool.

Installing AeonScope And First‑Time Setup

A user who types “show me how aeonscope” often starts with install. The installer runs on Linux, Windows, and macOS. A user downloads the binary or uses the package manager. The installer creates a service and a default config file. After install, the user starts the service and checks the status. The user opens the web UI on port 8080 by default. The interface asks for an admin account. The user sets a strong password and enables TLS in production.

System Requirements And Account Creation

AeonScope requires 4 GB RAM for light use and 8+ GB for production. A single CPU core suffices for testing: four cores improve ingest throughput. Disk I/O affects performance: use SSD for active storage. The user creates an account from the web UI or via CLI. The CLI command creates a user with email and role. The user assigns admin or reader roles. The service stores credentials in the config or a key store. The user enables two-factor authentication for sensitive deployments.

Core Workflow — From Import To Export

A user who asks “show me how aeonscope” follows a clear workflow. First, the user imports data. AeonScope accepts HTTP, MQTT, and file uploads. The user maps incoming fields to typed columns during import. Second, the user tags and annotates records for context. Third, the user queries data with the query bar or saved queries. Fourth, the user builds dashboards and sets alerts. Finally, the user exports results to CSV, JSON, or a cloud bucket. Each step saves state to the project.

Troubleshooting Common Issues And Where To Learn More

A user searches “show me how aeonscope” often when they face errors. If the service fails to start, the user checks the log file in /var/log/aeonscope. If ingestion lags, the user increases worker threads and checks disk I/O. If queries run slow, the user narrows time ranges and adds indexes on key fields. For authentication errors, the user verifies the config and the key store. AeonScope documentation lives on the project site and includes a quick start, API docs, and troubleshooting guides. The user can join the community forum or open a support ticket for complex problems.