Argo Workflows
argoproj.github.ioRun container-native workflows as DAGs or ordered steps on a Kubernetes cluster.
Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.
Run a Python project's configured test and lint commands in isolated environment matrices.
Instrument browser applications with client-side real-user monitoring signals for a Grafana observability stack.
Drawing, character rigging and compositing in one animation pipeline
Build and publish software artifacts with a managed Google Cloud pipeline service.
Build, test, and deploy through YAML pipelines organized as stages, jobs, and steps.
Collect application metrics and traces with eBPF-based auto-instrumentation instead of adding a language agent.
Automate GUI behavior tests for desktop, web, mobile, and embedded applications with object-based recognition.
A DAST scanner for finding and validating exploitable vulnerabilities in web applications and APIs.
Describe a terminal walkthrough in a tape file and render it as a shareable recording.
Connect professional-services pipeline, delivery, staffing, financials, and billing.
Analyze B2B marketing journeys through account, pipeline and revenue relationships.
Publish vacancies and move applicants through hiring stages with shared team access.
Unify B2B marketing and sales activity for attribution and account-level analysis.
Route standardized customer events into warehouses and connected business tools.
Shared customer records with stage-specific deal work
Company and opportunity records connected with the team's Outlook conversations
Connected sales, marketing, and service around a shared CRM
A sales CRM organized around the next customer follow-up
Combine candidate assessments and structured interviews within a configurable talent-evaluation platform.
Complex-sales CRM with milestones, sales aids, and account plans
Contacts and sales opportunities linked with tasks, projects, and client documents
Sales deal tracks and milestone-triggered follow-up with a small free tier
Shared customer history, sales pipelines, and follow-up tasks for growing teams