AWS Deploy Push
You run aws deploy push to bundle app files and send them to cloud storage. This command also registers the new bundle with the deployment service in one step. Many teams run this command from developer laptops or shared build servers. Teams often attach broad storage and deployment roles to make those uploads work fast. Those wide permissions create major risks if an attacker steals a local key. How aws deploy push works under the hood The deployment tool starts by reading a spec file in you
AWS IAM Policies + Push-Based Authentication: the complete guide
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You run aws deploy push to bundle app files and send them to cloud storage. This command also registers the new bundle with the deployment service in one step. Many teams run this command from developer laptops or shared build servers. Teams often attach broad storage and deployment roles to make those uploads work fast. Those wide permissions create major risks if an attacker steals a local key.
How aws deploy push works under the hood
The deployment tool starts by reading a spec file in your local source folder. This file tells the tool which app code and scripts belong in the bundle. Next, the tool compresses those files into a single archive on your machine. It checks your cloud role to make sure you have write permissions for storage.
After compressing the files, the tool sends the archive to a designated storage bucket. It then calls the deployment service API to register that exact storage location. The service saves the bundle metadata so target servers know where to pull code. Finally, the tool outputs a message you can use to trigger the actual release.
Why teams move from manual pushes to pipelines
Running deployment commands from a laptop works well for small test projects. As a team grows, local pushes cause version conflicts and broken builds. Two engineers might push different code revisions to the same bucket at the same time. Local machines can also include uncommitted test files by mistake.
Most teams fix this by moving the push step into an automated build server. The build server pulls clean code from version control and packages it the same way. Still, the build server still needs a cloud role with storage write rules. Securing that server role becomes the next big challenge for operations teams.
AWS IAM Policies + Push-Based Authentication: architecture patterns and best practices
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What native cloud roles solve and what they miss
Native cloud identity roles control who can log in and call deployment APIs. You can scope a role so it only writes to one specific storage bucket. You can also restrict which app names a role can register or update. This setup blocks unauthorized users from sending random files into your cloud account.
Still, native cloud roles only check permissions at the start of an API call. They do not inspect the actual commands or scripts inside the bundle in flight. A developer with a valid key can still push a broken script to production. Static keys stored on laptops for CLI pushes also stay valid until someone rotates them. If a key leaks, cloud logs show the role name, not the actual person. Auditing every CLI command across many cloud accounts takes hours of manual log review.
Check database and API queries on the wire
Identity tools, roles, and network rules decide who opens a session. Setup alone cannot check what each query does or mask sensitive values in a response once a session starts. When workflows touch Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, or internal HTTP APIs, hoop.dev runs beside those services as an open-source proxy, a sidecar for your Postgres or API. It inspects requests coming in and results going back on the wire.
Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run. On responses, hoop.dev data masking rewrites matched sensitive values in memory. Furthermore, hoop.dev holds SOC 2 Type II, is MIT licensed, and writes every query and decision to an audit trail that generates evidence for HIPAA, GDPR, and PCI DSS. See the source on GitHub.
Frequently asked questions
What does the push command actually send to cloud storage?
It zips your source code, build artifacts, and the spec file into one archive. Then it uploads that single archive file to your designated cloud storage bucket.
Does pushing a bundle start a release right away?
No, the push step only uploads the archive and registers the revision metadata. You must run a separate create deployment command to install the code on servers.
What permissions does a user need to push a bundle?
The user role needs write permissions for the target cloud storage bucket. It also needs permission to register an app revision in the deployment service.