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AWS CloudWatch + Memtro

Logs, metrics and alarms from AWS, answered in plain English with the query that found them.

Connect a read-only IAM user and the model can find log groups, run Logs Insights queries, tail a group for a pattern, pull a metric time series and tell you which alarms are firing. Useful during incidents and for scheduled checks.

What you can do with AWS CloudWatch in Memtro

Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right AWS CloudWatch tool, reads what it needs, and answers with the source cited.

01

During the incident

Ask what the checkout Lambda logged in the last hour and get the errors from Logs Insights with the query that found them.

02

Scheduled checks

A job asks every morning which alarms fired overnight and posts the answer to a saved chat.

  • List log groups and search them with Logs Insights or filter patterns over a time window
  • Metric time series for any namespace with the statistic and period you need
  • Alarm states with reasons and the metric each one watches
  • Explicit credentials per connection, one per region, read-only API calls only

Ask it like this

Questions people ask once AWS CloudWatch is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.

  • ›What errors did the checkout Lambda log in the last hour?
  • ›Show Lambda error counts for payments-api over the last 7 days
  • ›Which alarms are in ALARM state right now and why?

Where it fits

Teams that get the most from AWS CloudWatch in Memtro, with the rest of their stack attached.

Better together

A record in AWS CloudWatch is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.

Also in Engineering and operations

Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.

How to connect

  1. 01Create an IAM user with the CloudWatchReadOnlyAccess managed policy and an access key
  2. 02Enter the access key, secret and region on Dashboard → Connections → AWS CloudWatch (add a session token only for temporary credentials)
  3. 03Add another connection for each extra region
Also works from

Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The AWS CloudWatch tools are the same everywhere.

Clients and agents →

Questions

Can Memtro change anything in AWS CloudWatch?
No. The AWS CloudWatch connector is read-only: every tool reads, searches or lists. Nothing is created, sent, updated or deleted, and the credentials you give it should be read-only too.
Who can use a AWS CloudWatch connection?
A personal connection serves only your own requests. A shared connection serves the organisation: everyone, or only the teams an admin chooses. Admins can always add shared connections; other members need the permission.
Does Memtro store my AWS CloudWatch data?
Credentials are encrypted at rest. Tool results are cached briefly so agent loops do not repeat identical calls, and the facts the model extracts are saved to your organisation's memory with provenance (system, record and link) so they can be checked and superseded.
How do I connect AWS CloudWatch?
IAM access key. Create an IAM user with the CloudWatchReadOnlyAccess managed policy and an access key.

Connect AWS CloudWatch in a few minutes

Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.