Swiftask analyzes your Datadog metrics to detect cost anomalies. Your AI agents alert you and suggest corrective actions instantly.
Result:
Turn your Datadog data into real savings and automate your FinOps strategy.
AI Agents
datadog
Connector datadog · Secure OAuth 2.0
The complexity of modern infrastructure makes cost management difficult. Datadog alerts are often ignored due to noise, and FinOps teams lack visibility into the root causes of overconsumption.
Main negative impacts:
Alerts lost in the noise
Your teams receive too many non-critical notifications, leading them to ignore truly important budget alerts.
Lack of business context
Technical Datadog data is not always linked to business logic, making analysis difficult for decision-makers.
Delayed reaction to waste
Inefficiencies (underutilized instances, idle storage) are only detected after the monthly bill is generated.
Swiftask acts as an intelligent bridge between Datadog and your business processes. Our AI agents continuously analyze your cost metrics to isolate anomalies and trigger automated corrective actions.
BEFORE / AFTER
Reactive cloud management
A sudden consumption spike goes unnoticed. At the end of the month, the bill explodes. A team must then manually dig through Datadog to identify the source, wasting days of work.
Proactive cloud management
As soon as a cost anomaly is detected, your Swiftask agent analyzes the cause, notifies you on Slack or Teams, and proposes an immediate fix based on your business rules.
1
STEP 1 : Connect Datadog to Swiftask
Integrate your Datadog APIs to allow Swiftask to securely access your performance and cost metrics.
2
STEP 2 : Define your optimization rules
Configure the budget thresholds and anomaly types that the agent should monitor daily.
3
STEP 3 : Enable intelligent alerts
The agent filters out the noise and only alerts you to significant drifts, with the context needed for decision-making.
4
STEP 4 : Automate corrective actions
Let the agent execute cleanup scripts (e.g., stopping test instances) upon human validation.
The agent cross-references Datadog data with your infrastructure tags to precisely identify the services or teams responsible for overspending.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-datadog@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.
Identify and eliminate cloud waste before it becomes financial debt.
Your engineers no longer spend hours auditing logs to understand a cost spike.
Empower your teams by sending targeted notifications about their own resources.
Centralize the management of your optimization policies in a single interface.
Adapt your optimization rules as your cloud infrastructure grows.
Swiftask applies enterprise-grade security standards for your datadog automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Anomaly detection time | Several days | Real-time |
| Waste reduction | N/A | -20% on average |
| Manual audit time | Hours/week | Minutes/week |
Turn your Datadog data into real savings and automate your FinOps strategy.