Pricing

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.

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

STEP 1 : Link your Countly account

Configure the secure connection between Swiftask and your Countly instance via API key.

STEP 2 : Define your criticality thresholds

Teach the Swiftask agent which impact levels or crash frequencies require immediate intervention.

STEP 3 : Configure alert routing

Choose where to send reports: Jira, Slack, or email. The agent formats the content for immediate understanding.

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

1. Focus on what matters

Eliminate the background noise of minor errors and handle what truly counts.

2. Optimized MTTR

Immediate detection drastically reduces the time between incident and fix.

3. Better user experience

Reduce visible crashes early through proactive detection.

4. No-code automation

Configure your prioritization rules without writing a single line of code.

5. 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.

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