Argo Integrations

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Use an Akuity platform fully managed for Argo CD. Direct expert support from Argo co-creators. Use the industry-leading Kubernetes-native software delivery software to implement GitOps in your organization. We put Argo CD in the cloud to make it easier for you. The Akuity platform, which includes end-to-end analytics and a developer experience, is enterprise-ready right from the beginning. GitOps best practices allow you to manage large clusters and safely deploy thousands. The Argo Project is an open-source suite of tools that allows you to deploy and run Kubernetes applications and workloads. It extends Kubernetes APIs, unlocks new and more powerful capabilities in continuous delivery and container orchestration, event automation and progressive delivery, and many other areas. Argo is a Cloud Native Computing Foundation project incubating and is trusted by leading enterprises around world.

Argo CD is a declarative GitOps continuous delivery tool that Kubernetes uses. Applications, configurations, environments, and definitions should be declarative, version-controlled, and should be able to be renamed as needed. App deployment and lifecycle management must be automated, auditable, and easily understood. Argo CD follows the GitOps model of using Git repositories to define the desired application state. Argo CD automates deployment of desired application states in specified target environments. Application deployments can track changes to branches, tags, and pinned to a specific version at a Git commit.

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Open-source platform for managing cloud environments. Dashboards are included to help visualize and monitor environments. YAML is an easy-to-read format for defining entire environments in a declarative manner. Declarative format to define entire environments. It allows organizations to define whole environments in a declarative format. Provision them, detect drift and reconcile it, and teardown the environments when they are no longer required. Dashboards are included to help visualize and monitor environments. Environment as Code (EaC), an abstraction of cloud-native software, provides a declarative method to define an entire environment. It has a control plan that manages the environment's state, including resource dependencies and drift detection and reconciliation. CloudKnit, an open-source platform for managing cloud environments, is a progressive delivery platform. We currently support an easy-to-use YAML format to define the environment.

Define a test execution consisting of a tool, test repository, and any arguments/parameters. Testkube workflows allow you to run any testing tool out of the box, or create your own custom workflow. Combining similar or dissimilar workflows for test execution into suites. Create a searchable repository for ready-to-run tests. Use proactive triggers for test executions based on CI/CD events. You can do this manually or according to a schedule. Listen for Kubernetes events, like deployments, to trigger test executions automatically. Use Kubernetes' native scalability in order to increase the number of simultaneous test executions. Scale load tests from 1 to 1,000 using advanced scaling capabilities. Parallelize functional tests for faster completion. Access logs and other artifacts generated by test tools in a central repository. Find errors quickly by highlighting failure-related keywords in the log.