Tarification

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.

Resultat:

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.

Les principaux impacts négatifs :

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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 1 : Link your Countly account

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

ÉTAPE 2 : Define your criticality thresholds

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

ÉTAPE 3 : Configure alert routing

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

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans countly selon le contexte de l'événement.
Actions automatisées : Error report aggregation, automatic Jira ticket creation, Slack escalation for critical incidents, daily stability trend summaries.
Gouvernance native : Swiftask does not replace Countly, it makes it intelligent by turning raw data into actionable decisions.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-countly@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

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 applique des standards de sécurité enterprise pour vos automatisations countly.

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.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Proven productivity gains

Métrique	Avant	Après
Alert noise	100% of logs	-80% (relevant alerts only)
Manual triaging time	2h / day	0h / day
Reactivity to major crashes	Reactive (manual)	Immediate (automated)

Passez à l'action avec countly

Reduce your Mean Time To Resolution (MTTR) and improve your mobile app stability.

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