Pylon's Ask AI and Copilot pull CloudWatch metrics, logs, and alarms directly into answers, so agents correlate customer-reported issues with live observability data in one query.
With the Application Signals MCP server, Pylon's AI can analyze performance metrics, check Service Level Objective compliance, and investigate issues using distributed tracing to gauge customer impact.
Because Pylon leverages connected MCPs automatically, CloudWatch context can be combined with past tickets, call recordings, docs, and other MCPs like Linear or Notion in a single response.
Set up AWS credentials scoped to the minimum IAM permissions required by the CloudWatch and Application Signals MCP servers, following least-privilege access to your metrics, logs, alarms, and Application Signals data.
Deploy the awslabs.cloudwatch-mcp-server and awslabs.cloudwatch-appsignals-mcp-server, passing your AWS profile and region.
Open the Integrations page in Pylon, filter to MCP, and add the CloudWatch MCP servers as external MCP connections. Note that you need admin access to configure MCP connections.
The Pylon and CloudWatch integration connects AWS infrastructure monitoring to your B2B support workflow. When CloudWatch detects anomalies or threshold breaches, alerts can be linked to affected customer conversations in Pylon, so support teams immediately know which accounts are impacted and can reach out proactively rather than waiting for customers to file tickets.
When an infrastructure event fires in CloudWatch, support teams can see which customer accounts are affected in Pylon without manually cross-referencing systems. This means faster, more informed customer communication during incidents, with full account context already loaded so agents know the account's tier, ARR, and recent support history before they reply.
Yes. By connecting CloudWatch to Pylon, teams can build workflows that automatically create issues or flag accounts when infrastructure alerts fire. Instead of customers discovering a problem themselves, your support or customer success team can reach out first with an update, turning a reactive incident into a proactive experience.
Yes. Customer success managers benefit when infrastructure events are linked to account data in Pylon. If a CloudWatch alert affects a high-ARR or at-risk account, the CSM is informed immediately with full context, rather than finding out from a frustrated customer in a Slack message hours later.
When a CloudWatch alert fires, Pylon can automatically link it to the relevant customer accounts and create a tracked issue with all the context already attached. Support teams skip the manual triage step of identifying who is affected and jump straight to communication and resolution, cutting the time between an alert and a customer update significantly.
Pylon connects with the tools your team lives in — Slack, email, CRMs, ticketing systems,and more. Meet your customers where they are and streamline every support workflow.
Receive and respond to customer messages from Telegram
Manage B2B support directly in Slack channels alongside your team.
Connect Pylon to Granola to ingest call recordings
Sync Outlook Calendar meetings to customer records in Pylon
Automatically capture and log Google Meet call notes to Pylon
Automcatically link active incidents to affected customer conversations.
Enrich customer records with usage data from Amazon Redshift.
Create Shortcut stories from customer conversations automatically
Trigger PagerDuty incidents from critical customer-reported issues.
