Ask Claude or ChatGPT which alarms are firing, what the logs say and how a metric is trending in CloudWatch.
Read from Amazon CloudWatch when someone asks. Nothing exported, nothing copied, and changes only where you allow them.
Which CloudWatch alarms are in alarm right now, and why?
Is CPU on the orders database trending up over the last 24 hours?
Search the API logs for 5xx errors in the last hour and group them by endpoint.
None of these change anything in AWS. They are gated like writes because each one starts or stops a Logs Insights query, which counts against your account's limit on concurrent queries. Every write is on record.
When an alarm goes off, the first ten minutes go to finding the right log group, writing a query and pulling up the metric. Connected once through a read-only role in your AWS account, whoever is on call can ask in plain English, and nothing in AWS can be changed.
An admin connects Amazon CloudWatch one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. You create an IAM role in your account that trusts FrontierOps, with an external ID tied to your organization, and paste its ARN and region. Every session is limited to read-only CloudWatch actions: no alarm changes and no log writes.
A Logs Insights query changes nothing, but it takes one of your account's concurrent query slots, so running, stopping and analyzing are permissions you grant on purpose. Alarms and metrics are plain reads.
Add one connection per account and region. A question aimed at one never quietly reads another.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Amazon CloudWatch, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Amazon CloudWatch through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Amazon CloudWatch is connected once, for every AI and every agent, under one set of permissions, with every call on record.