What to Monitor First After Deploying DynamoDB

July 2026

A DynamoDB source is healthy when the runner can describe and scan the intended table in the right region, not merely when it has some AWS credentials.

Short Answer

Monitor the first successful DescribeTable and Scan against the exact DynamoDB table and region you deployed. The connector docs are explicit that batch reads need dynamodb:DescribeTable and dynamodb:Scan, while authentication comes from the AWS default credential chain, so the real post-deploy invariant is simple: the runner's AWS identity must resolve in the right region and return items from the named table.

That is stronger than checking whether the job can talk to AWS at all. A role can authenticate and still miss the table because the region is wrong, the table name is off by one environment suffix, or the principal lacks scan access. If CDC is part of the plan, keep that as a second check. The source docs separate Streams permissions from the baseline batch path for a reason.

Why Teams Struggle with This

Teams often collapse DynamoDB into a generic AWS connectivity test, then spend hours debugging a deployment that was actually failing on the table boundary, the region boundary, or missing scan permissions.

• The runner needs the right table name and the right region, not just a valid AWS principal.
• Batch success depends on dynamodb:DescribeTable and dynamodb:Scan, which are easy to omit from a narrowly scoped IAM policy.
• A custom endpoint_url for LocalStack or another emulator is a different runtime path from production AWS and should be validated separately.
• Turning on CDC before the initial scan path is healthy makes DynamoDB Streams problems harder to separate from ordinary table-read problems.

How Skippr Handles It

Skippr keeps DynamoDB post-deploy checks direct because the source surface is direct: table_name, region, and optional endpoint_url, with credentials resolved from the AWS chain the runner already uses.

That makes the first validation concrete. If one table scan works from the deployed environment, you have proven the actual runtime path instead of an abstract AWS login story.

• Uses the AWS default credential chain rather than a separate connector-specific secret.
• Separates baseline batch-read requirements from CDC-only Streams requirements.
• Makes the table and region explicit in config, which helps post-deploy review.
• Supports local endpoint testing without pretending it proves the production path.

What the First Useful Version Looks Like

Pick one table with known items and verify that the first scan returns the expected shape and count range. That tells you more than a green startup log line.

Once batch reads are steady, add the CDC path deliberately and validate Streams permissions as their own runtime boundary rather than as an afterthought.