Search Results for "state-thread"

...Application deployment and lifecycle management should be automated, auditable, and easy to understand. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Argo CD automates the deployment of the desired application states in the specified target environments. Application deployments can track updates to branches, tags, or pinned to a specific version of manifests at a Git commit. See tracking strategies for additional details about the different tracking strategies available. Argo CD is implemented as a kubernetes controller which continuously monitors running applications and compares the current, live state against the desired target state (as specified in the Git repo).

Deploy Kubernetes Helm Charts. Declaratively deploy your Kubernetes manifests, Customize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD. Keep a directory of chart value files and maintain changes in version control. Apply CI/CD to configuration changes. Periodically sync to avoid skew in environments.

...The route.serving.knative.dev resource maps a network endpoint to one or more revisions. You can manage the traffic in several ways, including fractional traffic and named routes. The configuration.serving.knative.dev resource maintains the desired state for your deployment. It provides a clean separation between code and configuration and follows the Twelve-Factor App methodology. Modifying a configuration creates a new revision.

PHPloy is an incremental Git FTP and SFTP deployment tool. By keeping track of the state of the remote server(s) it deploys only the files that were committed since the last deployment. PHPloy supports submodules, sub-submodules, deploying to multiple servers and rollbacks. PHPloy requires PHP 7.3+ and Git 1.8+. PHPloy is very easy to use. PHPloy stores a file called .revision on the server. This file contains the hash of the commit that you have deployed to that server.

...The optional run-time GUI captures logs, while CLI mode stays lean for automation. Config is driven by a simple INI per OS, so app IDs, entry points, requirements, and paths are declarative. PyAppExec also manages user-level caches/state, log rotation, and GUI suppression preferences letting you ship Python apps without asking end users to touch Python, virtualenvs, or package managers.

...Under the hood it coordinates distributed nodes, tolerating partial failures while continuing to drive toward the target state. By separating deployment recipes from environment specifics, glu encourages repeatable, testable releases for multi-service stacks.