A case, not a chat log
Each investigation opens a case with a working hypothesis, a confidence level and the next moves. Follow-up questions land in the same case.
Deep InvestigationBeta
Ask Mica what broke. It reads AWS, Kubernetes, logs, deploys and config, then returns the root cause, the evidence and a fix you approve.
Read-only by default. Nothing changes until you approve it. A separate app from Microtica, in beta.
Sample Mica conversation. Asked why checkout-api keeps restarting in Production, Mica checks the environment's health, the service and its logs, and compares versions across environments. It finds that the pods are killed for exceeding their 256 Mi memory limit since commit 9f3c1a2 added an in-memory product cache, shows the service and its logs, and asks for approval to raise the memory limit to 512 Mi in Production.
How it works
Describe the problem in plain language. No query syntax and no jumping between dashboards.
Mica plans the checks, runs them read-only and connects metrics with logs, events and recent deploys.
The root cause, the evidence behind it and a recommended fix. Any change waits for your approval.
What you get
Mica works through your connected accounts the way an engineer would, and tells you which parts it hasn’t pinned down.
Each investigation opens a case with a working hypothesis, a confidence level and the next moves. Follow-up questions land in the same case.
Each finding is marked Confirmed, Likely or Low. Dead ends stay visible as Ruled out, so you can see what the answer rests on.
Every run adds a chapter with its verdict and full report. A long incident reads as one story.
Ask Mica to keep an eye on something after a fix. It checks on a schedule and closes the watch only once it verifies the fix.
Mica remembers facts about your setup and loads your runbooks as skills, so you don’t re-explain your infrastructure.
Start with a quick triage. Choose Deepen when you need the loose ends chased down.
Where you ask
Cases started in Slack post back to the thread, so the team sees each decision where the conversation is.
Use cases
Cost spikes, crash-looping pods, slow endpoints, broken deploys. The same plain-language question, and a case back every time.
“Our AWS spend is up 30% this week. Why?”
You get
The resource or deploy that changed, with the cost trail.
“The api-server pod in prod keeps restarting.”
You get
Out of memory or exit code, the deploy behind it and the fix.
“My ECS service won’t stay healthy.”
You get
Task metrics, health check settings, IAM and the cause.
“The API got slow around 2pm. What changed?”
You get
Metrics, logs and events lined up on one time range.
“Did the last deploy break checkout?”
You get
The change matched to the error spike.
“The service can’t pull from ECR.”
You get
The IAM policy or security group rule to fix.
Access and approvals
You decide which accounts, clusters and namespaces Mica can see, using credentials you create and revoke on your side.
How security worksMica connects to your AWS accounts and Kubernetes clusters directly. Your services don’t have to be deployed with Microtica.
Read the docsRun your first investigation on the free plan. For paid plans, talk to us.
See pricingConnect an AWS account in a few minutes and see what Mica finds.