Pricing

Automatically triage your Better Stack alerts with Swiftask

Swiftask analyzes and prioritizes your Better Stack alerts in real-time. Stop wasting time on noise: focus only on critical incidents.

Result:

Reduce alert fatigue and drastically accelerate your Mean Time To Resolution (MTTR).

The Better Stack alert flood is paralyzing your team

Your team receives hundreds of Better Stack alerts daily. Most are insignificant or repetitive, drowning critical issues in constant noise. The result: on-call burnout, alert fatigue, and missed major incidents.

Main negative impacts:

Alert fatigue: Facing too many alerts, engineers eventually ignore notifications. The risk of missing a critical alert becomes real.
High response time: Time spent manually triaging alerts delays the actual intervention on the incident.
Lack of context: Each alert arrives in isolation, without correlation to business data or past incidents.

Swiftask acts as an intelligent filter between Better Stack and your team. AI analyzes, categorizes, and prioritizes every alert before it reaches your engineers.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A Better Stack alert triggers. An engineer is woken up, must manually analyze the log, correlate data, and determine if it's an emergency. Often, it's a false positive, but the stress cycle has already begun.

With Swiftask + Better Stack

Swiftask intercepts the Better Stack alert instantly. AI analyzes criticality, groups related alerts, and only notifies the engineer if human action is truly needed, with a full contextual summary.

Optimize your alert triaging in 4 steps

STEP 1 : Configure the Better Stack connector

Link your Better Stack instance to Swiftask via webhook. Setup is instantaneous.

STEP 2 : Define your AI triaging rules

Teach the agent what constitutes a critical incident vs a minor warning based on your KPIs.

STEP 3 : Contextual enrichment

Swiftask automatically enriches the alert with data from your other tools (Jira, GitHub, logs).

STEP 4 : Automate the response

Silence false positives, create Jira tickets, or notify the right people based on criticality.

Advanced intelligent triaging features

AI analyzes alert type, frequency, impacted service, and recent history to decide on the appropriate action.

Target connector: The agent performs the right actions in better stack based on event context.
Automated actions: Automatic suppression of false positives. Grouping of correlated alerts. Automatic incident ticket creation. Intelligent notification on Slack/Teams with problem summary.
Native governance: All triaging decisions are logged to allow continuous adjustment of your filtering rules.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-better-stack@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 choose Swiftask for Better Stack

1. Drastic noise reduction

Filter out up to 80% of non-critical alerts automatically.

2. Accelerated MTTR

Engineers receive qualified alerts with the necessary context to act immediately.

3. Incident governance

Standardize your incident management with an AI that always follows the same protocols.

4. Seamless integration

Fits perfectly into your existing SRE stack without modifying your monitoring tools.

5. Continuous learning

The AI adapts to your infrastructure's evolution to remain relevant at all times.

Security and compliance

Swiftask applies enterprise-grade security standards for your better stack automations.

Data encryption: All data from Better Stack is encrypted in transit and at rest.
SOC2 compliance: Swiftask meets the most demanding security standards for enterprises.
Total control: You maintain control over all triaging rules and can modify them in one click.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measurable impact on your operations

Metric	Before	After
Alert volume processed	100% manual	90% automated
Triaging time per incident	5-10 minutes	Instant
False positives transmitted	High	Near zero

Take action with better stack

Reduce alert fatigue and drastically accelerate your Mean Time To Resolution (MTTR).

Anticipate system incidents with predictive Better Stack log analysis

Next use case