Amazon Route 53
by Amazon Web Services
Route 53 holds an organization's DNS: hosted zones, record sets, health checks and registered domains with their expiry dates. It changes quietly and breaks loudly. A scheduled copy in the Lake gives security and platform teams a history of records, a list of domains about to expire, and a way to spot records pointing at resources that no longer exist.
- Category
- Cloud & Data Platforms
- Type
- DNS & domains
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Hosted zones
- Record sets
- Health checks
- Registered domains
Load Amazon Route 53 hosted zones into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Amazon Route 53 data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
Amazon Route 53 uses AWS access keys. You add the credentials once, when the AI asks for them, and it tells you where to create them in Amazon Web Services if you need help.
04Questions
Questions you can answer.
Once Amazon Route 53 data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which registered domains expire in the next 60 days, and is auto-renew turned on?
- Which CNAME records point to hostnames we no longer own?
- How many record sets changed in each hosted zone last month?
- Which health checks failed most often in the last quarter?
05How it works
How it works in DataMind.
-
Pick Amazon Route 53.
Open Lake, pick Amazon Route 53 in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Amazon Route 53 API docs.
-
Answer a few questions.
The AI reads the Amazon Route 53 documentation, then asks which credentials you will use, which data to sync (for example hosted zones and record sets), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Amazon Route 53, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Amazon Route 53.
Sources teams join with Amazon Route 53 in the Warehouse, each one connected the same way.
