AWS CloudFront + AWS Lambda
Connect AWS CloudFront and AWS Lambda on tray.ai
Automate edge logic, content routing, and serverless processing by connecting CloudFront and Lambda on tray.ai.
Why integrate AWS CloudFront and AWS Lambda?
AWS CloudFront and AWS Lambda are two of Amazon's most widely used services, and together they cover the full stack of modern serverless content delivery. CloudFront is the global CDN layer that routes and caches requests; Lambda is the compute layer that processes, transforms, and responds to those requests on the fly. Connecting the two lets teams build scalable, low-latency workflows that respond automatically to traffic patterns, security events, and content delivery needs — without managing servers.
Automate & integrate AWS CloudFront & AWS Lambda
Use case
Automated Cache Invalidation on Code Deployments
When a new deployment fires, a Lambda function can automatically issue CloudFront cache invalidation requests so end users always get the latest content. No more logging into the AWS Console to submit invalidation paths after every release. tray.ai handles the handoff between your CI/CD pipeline, Lambda, and CloudFront.
Use case
Real-Time Security Threat Response at the Edge
Lambda functions triggered by CloudFront security events or WAF alerts can dynamically update IP blocklists, modify security headers, or rotate origin authentication tokens. tray.ai connects these events to downstream tools like PagerDuty or Slack for immediate team notification, creating a closed-loop security response pipeline that runs at CDN speed.
Use case
Dynamic Content Personalization and A/B Testing
Lambda@Edge functions triggered via CloudFront viewer requests can route users to different origin content based on geolocation, device type, or cookie values — handling personalization and A/B test traffic splitting at the edge. tray.ai can sync experiment configuration from tools like LaunchDarkly or Optimizely directly into Lambda environment variables or S3 config files, so your CDN-layer logic always reflects current business rules without manual Lambda redeployments.
Use case
CloudFront Distribution Provisioning and Lifecycle Automation
Engineering teams can automate the full lifecycle of CloudFront distributions — creation, configuration updates, and teardown — using Lambda functions triggered by tray.ai workflows. This is especially useful for multi-tenant SaaS platforms that spin up per-customer CDN distributions on demand. tray.ai orchestrates the provisioning workflow end to end, from CRM or ticketing system triggers through to CloudFront API calls via Lambda.
Use case
Performance Monitoring and Alerting Automation
Lambda can process CloudFront access logs and real-time metrics from CloudWatch, automatically spotting latency spikes, high error rates, or cache-hit ratio drops. tray.ai routes these findings to dashboards, Slack channels, or incident management tools like PagerDuty the moment thresholds are breached — no manual log reviews required.
Use case
Signed URL and Access Token Generation at Scale
For platforms serving premium or gated content, Lambda functions can generate CloudFront signed URLs or signed cookies on demand, triggered by entitlement events from subscription or e-commerce platforms. tray.ai connects the purchase or authentication event from tools like Stripe or Auth0 to Lambda, which returns a time-limited signed URL to the requesting application — a secure, automated entitlement-to-delivery pipeline.
Use case
Multi-Region Failover and Origin Health Orchestration
Lambda functions can monitor CloudFront origin health checks and automatically update origin group configurations or DNS records when a primary origin goes down. tray.ai orchestrates the failover workflow, notifying DevOps teams, logging the incident, and triggering recovery runbooks in tools like Confluence or Notion — cutting mean time to recovery for business-critical applications.
Get started with AWS CloudFront & AWS Lambda integration today
AWS CloudFront & AWS Lambda Challenges
What challenges are there when working with AWS CloudFront & AWS Lambda and how will using Tray.ai help?
Challenge
Managing Complex Lambda Trigger Configurations Across Multiple Distributions
As the number of CloudFront distributions grows, maintaining consistent Lambda@Edge associations and trigger configurations across viewer-request, origin-request, viewer-response, and origin-response events gets increasingly complex and error-prone when handled manually through the console.
How Tray.ai Can Help:
tray.ai provides a centralized workflow layer that programmatically manages Lambda trigger associations across any number of CloudFront distributions, keeping configuration consistent through version-controlled workflows rather than manual console operations. Changes can be applied fleet-wide from a single workflow update.
Challenge
Coordinating Invalidations Without Triggering Cost Overruns
CloudFront charges for invalidation requests beyond the free tier, and poorly coordinated automation that submits redundant or overly broad invalidations can cause unexpected AWS billing spikes — especially in high-frequency deployment pipelines.
How Tray.ai Can Help:
tray.ai workflows incorporate conditional logic to deduplicate invalidation requests, batch affected paths, and use wildcard patterns where appropriate, keeping the total number of invalidation submissions down. Built-in rate limiting and approval gates can also be added for high-volume deployment environments.
Challenge
Handling Asynchronous Lambda Execution and CloudFront API Latency
CloudFront distribution updates and Lambda deployments are inherently asynchronous and can take minutes to propagate globally, which makes it hard to build reliable sequential workflows that depend on completion status without continuous polling or complex retry logic.
How Tray.ai Can Help:
tray.ai natively supports asynchronous workflow patterns with built-in polling loops, wait steps, and conditional branching that monitor CloudFront distribution status or Lambda function state before moving to downstream steps — no custom polling code required, and timeouts are handled gracefully.
Challenge
Securely Passing Credentials and Secrets Between Services
Workflows spanning CloudFront and Lambda often require managing sensitive credentials — CloudFront key pairs for signed URLs, origin authentication headers, Lambda environment secrets — which tend to end up hardcoded or inconsistently managed across automation scripts.
How Tray.ai Can Help:
tray.ai's secure credential store encrypts and centrally manages all AWS authentication tokens, CloudFront key pairs, and other secrets used across workflows. Credentials are never exposed in workflow logic and are automatically updated across all dependent workflows when refreshed in the credential store.
Challenge
Cross-Account and Multi-Region Workflow Orchestration
Enterprise teams often run CloudFront distributions and Lambda functions across multiple AWS accounts and regions, which makes cross-service automation difficult when each environment has separate authentication contexts, regional API endpoints, and distinct IAM permission sets.
How Tray.ai Can Help:
tray.ai supports multiple named AWS connector configurations, so a single workflow can authenticate against and orchestrate resources across different AWS accounts and regions in sequence or in parallel. No need to duplicate workflows per account.
Start using our pre-built AWS CloudFront & AWS Lambda templates today
Start from scratch or use one of our pre-built AWS CloudFront & AWS Lambda templates to quickly solve your most common use cases.
AWS CloudFront & AWS Lambda Templates
Find pre-built AWS CloudFront & AWS Lambda solutions for common use cases
Template
Trigger CloudFront Cache Invalidation via Lambda on GitHub Deployment
Automatically invokes a Lambda function when a GitHub Actions deployment workflow completes, which then submits a targeted CloudFront invalidation request for the deployed asset paths. Production CDN cache stays in sync with the latest release without any manual steps.
Steps:
- tray.ai detects a successful deployment event from GitHub Actions via webhook
- Workflow triggers the designated AWS Lambda function with deployment metadata including affected file paths
- Lambda calls the CloudFront API to create an invalidation for the specified distribution and paths
Connectors Used: AWS CloudFront, AWS Lambda
Template
Auto-Provision CloudFront Distribution for New Salesforce Accounts
When a new customer account is marked active in Salesforce, tray.ai triggers a Lambda function that provisions a new CloudFront distribution with predefined configuration, then writes the distribution domain back to the Salesforce account record.
Steps:
- tray.ai polls Salesforce for newly activated customer accounts on a scheduled interval
- Lambda is invoked with customer metadata and calls CloudFront APIs to create a new distribution using a stored configuration template
- Once provisioning completes, tray.ai writes the CloudFront distribution domain name back to the corresponding Salesforce account record
Connectors Used: AWS CloudFront, AWS Lambda
Template
CloudFront Error Rate Alert to Slack via Lambda and CloudWatch
Monitors CloudFront distribution error metrics in CloudWatch and invokes a Lambda function when 4xx or 5xx error rates exceed a defined threshold, automatically posting a detailed alert to a Slack channel with the distribution ID, error rate, and a direct link to the CloudWatch dashboard.
Steps:
- CloudWatch alarm detects CloudFront 5xx error rate exceeding the configured threshold and triggers an SNS notification
- tray.ai receives the SNS event and invokes a Lambda function to enrich the alert with distribution metadata and current traffic statistics
- Lambda returns the enriched payload to tray.ai, which formats and posts the alert to the designated Slack engineering channel
Connectors Used: AWS CloudFront, AWS Lambda
Template
Generate CloudFront Signed URLs on Stripe Payment Confirmation
Listens for successful Stripe payment events and triggers a Lambda function to generate time-limited CloudFront signed URLs for the purchased digital content, delivering them to the customer via email through SendGrid.
Steps:
- tray.ai receives a payment_intent.succeeded webhook event from Stripe containing product and customer details
- Workflow invokes a Lambda function with content path and customer ID, which generates a CloudFront signed URL using the distribution's key pair
- tray.ai passes the signed URL to SendGrid to deliver a personalized content access email to the customer
Connectors Used: AWS CloudFront, AWS Lambda
Template
Automated CloudFront IP Blocklist Update from Security Events
When a security scanning tool or SIEM flags a malicious IP, tray.ai triggers a Lambda function that updates the associated AWS WAF IP set linked to the CloudFront distribution, then logs the action to a Jira security ticket for audit purposes.
Steps:
- tray.ai receives a threat detection alert from a SIEM tool or security scanner via webhook containing the offending IP address
- Lambda function is invoked to add the IP to the WAF IP set associated with the target CloudFront distribution
- tray.ai creates or updates a Jira security ticket with the blocked IP, timestamp, threat classification, and Lambda execution log reference
Connectors Used: AWS CloudFront, AWS Lambda
Template
Daily CloudFront Access Log Processing and Analytics Sync
Runs a scheduled Lambda function each night to process CloudFront access logs stored in S3, aggregate metrics like top requested paths, bandwidth consumed, and geographic distribution, then sync the results to a BigQuery dataset for business intelligence reporting.
Steps:
- tray.ai triggers the workflow on a nightly schedule and invokes the Lambda log-processing function with the target S3 bucket and date prefix
- Lambda reads, parses, and aggregates CloudFront access log files, computing metrics per distribution and geography
- tray.ai receives the aggregated results and upserts the records into the designated BigQuery dataset for use in Looker Studio or similar BI tools
Connectors Used: AWS CloudFront, AWS Lambda