Swiftask orchestrates your TimescaleDB retention and archiving policies. Automate the management of your time-series data to ensure performance and compliance.
Result:
Reduce storage costs and maintain optimal performance without manual effort.
Manual time-series data management hinders scalability
Manually managing retention, partitioning, and archiving for massive volumes of data in TimescaleDB is complex and error-prone. Teams waste valuable time purging databases or migrating archives to cold storage.
Main negative impacts:
Swiftask deploys AI agents capable of executing intelligent lifecycle policies on your TimescaleDB instance. You define the rules, the AI executes and monitors your data lifecycle continuously.
BEFORE / AFTER
What changes with Swiftask
Traditional manual management
An engineer must write and test complex SQL scripts to purge old data every month. If forgotten or if an error occurs, the database fills up, performance drops, and costs explode.
Intelligent management with Swiftask
The Swiftask agent dynamically monitors data age and performance thresholds. It automates movement to compressed tables or cold storage, ensuring a constantly optimized database.
Optimize your TimescaleDB lifecycle in 4 steps
STEP 1 : Connect your TimescaleDB instance
Configure the secure connection between Swiftask and your database via a dedicated interface.
STEP 2 : Define your retention policies
Use the no-code assistant to set archiving or deletion rules based on data age or volume.
STEP 3 : Activate automation agents
The AI takes over to execute maintenance tasks according to your schedule or in real time.
STEP 4 : Monitor via the dashboard
Track actions performed, space freed, and receive alerts in case of lifecycle anomalies.
Automation capabilities for TimescaleDB
The agent analyzes your database metrics: hyper-table size, data age, and growth rate to adjust lifecycle policies.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-timescaledb@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why automate with Swiftask?
1. Constant performance
Keep your hyper-tables optimized at all times thanks to automatic cleaning.
2. Budget optimization
Reduce storage costs by intelligently moving data to less expensive tiers.
3. Simplified compliance
Ensure adherence to retention policies with automated traceability.
4. Operational agility
Free your engineers from repetitive database maintenance tasks.
5. Enhanced security
Secure connection ensuring data integrity during lifecycle operations.
Security for databases
Swiftask applies enterprise-grade security standards for your timescaledb automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your infrastructure
| Metric | Before | After |
|---|---|---|
| Maintenance time | Several hours/month | Automated (0h) |
| Storage costs | Linear growth | Optimized (-30% avg) |
| Error risk | High (manual) | None (systematic) |
| Visibility | Log-based | Real-time dashboard |
Take action with timescaledb
Reduce storage costs and maintain optimal performance without manual effort.