Detect and prioritize your Countly crashes automatically
Swiftask analyzes your Countly data in real time. Stop wasting time on minor errors: focus only on crashes with critical impact.
Result:
Reduce your Mean Time To Resolution (MTTR) and improve your mobile app stability.
AI Agents
countly
Connector countly · Secure OAuth 2.0
Alert fatigue is overwhelming your engineering teams
Monitoring tools like Countly generate thousands of events. Your developers spend their time manually triaging logs instead of fixing issues that truly affect the user experience.
Main negative impacts:
Alert fatigue
Too many non-critical notifications end up being ignored, increasing the risk of missing a major bug.
Lost velocity
Manual crash triaging consumes valuable time that should be spent developing new features.
Delayed response
Without automatic prioritization, critical crashes wait too long before being addressed.
Swiftask acts as an intelligent filter for your Countly data. It identifies crash patterns, assesses their impact, and only alerts your teams about critical incidents.
BEFORE / AFTER
What changes with Swiftask
Manual log management
Your team receives a raw list of 500 Countly crashes. They have to browse the interface and cross-reference data to guess what is important, creating a daily bottleneck.
Swiftask + Countly
Swiftask continuously analyzes incoming data. Only crashes affecting more than 5% of your active users are pushed to your ticketing tools. Your developers receive a context-rich summary ready for action.
Optimize your monitoring in 4 easy steps
1
STEP 1 : Link your Countly account
Configure the secure connection between Swiftask and your Countly instance via API key.
2
STEP 2 : Define your criticality thresholds
Teach the Swiftask agent which impact levels or crash frequencies require immediate intervention.
3
STEP 3 : Configure alert routing
Choose where to send reports: Jira, Slack, or email. The agent formats the content for immediate understanding.
4
STEP 4 : Launch intelligent analysis
The agent monitors data streams and triggers actions only on qualified events.
Advanced features for your crashes
The agent analyzes: crash frequency, number of unique users impacted, application version, and business criticality.
- Target connector: The agent performs the right actions in countly based on event context.
- Automated actions: Error report aggregation, automatic Jira ticket creation, Slack escalation for critical incidents, daily stability trend summaries.
- Native governance: Swiftask does not replace Countly, it makes it intelligent by turning raw data into actionable decisions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-countly@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.
Benefits for your DevOps team
Focus on what matters
Eliminate the background noise of minor errors and handle what truly counts.
Optimized MTTR
Immediate detection drastically reduces the time between incident and fix.
Better user experience
Reduce visible crashes early through proactive detection.
No-code automation
Configure your prioritization rules without writing a single line of code.
Full traceability
Every agent decision is documented in your history.
Security and log privacy
Swiftask applies enterprise-grade security standards for your countly automations.
- Data encryption: Your Countly data is processed via encrypted connections.
- Restricted access: Only authorized members of your workspace can modify rules.
- Compliance: Processed data adheres to your company's privacy standards.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Proven productivity gains
| Metric | Before | After |
|---|---|---|
| Alert noise | 100% of logs | -80% (relevant alerts only) |
| Manual triaging time | 2h / day | 0h / day |
| Reactivity to major crashes | Reactive (manual) | Immediate (automated) |
Take action with countly
Reduce your Mean Time To Resolution (MTTR) and improve your mobile app stability.