Maintains scalability and efficiency, automates deployment in platform architectures.
Platform orchestration is indispensable for maintaining scalability, reliability, and efficiency within complex platform architectures. It automates deployment and management tasks, diminishes manual labor, and ensures consistent operations across the platform. As a vital use case in platform engineering, platform orchestration manages and coordinates the deployment, scaling, and lifecycle of services and applications on the platform.
We’ve listed the products and solutions that commonly address the Platform Orchestration use case below.
An internal developer portal for accelerating velocity and achieving high standards.
An internal developer portal for building a service/software catalog and enabling self-service.
Harness IDP streamlines software management, automates service onboarding, centralizes documentation, and integrates with plugins.
An open source platform for unified, standardized management of backend services and tools.
An enterprise-grade platform for building standardized configurations and workflows.
Cortex is an Internal Developer Portal (IDP) designed to streamline and enhance the efficiency of engineering teams.
A sustainable engineering platform for empowering people and boosting software delivery.
Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.
| Feature | Dimensions | Description | Priority |
|---|---|---|---|
| Build Automation |
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The build process is automated, compiling, packaging, and preparing applications for deployment. | Critical |
| Configuration Management |
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The configuration and setup of infrastructure components are supported. | Critical |
| Deployment Automation |
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The deployment process is automated through the definition of deployment configurations and execution of deployment scripts. | Critical |
| Release Automation |
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The release process is automated through the definition of release pipelines and execution of release scripts, enabling efficient and consistent deployments. | Critical |
| Alerting and Notifications |
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Support is available for alerting and notifying systems for proactive issue detection and resolution. | Important |
| Auto-Scaling |
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Resources are automatically scaled based on real-time workload demand to handle fluctuating traffic. | Important |
| Containerization |
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The packaging and deployment of applications are automated using containerization technologies like Docker and container orchestration platforms like Kubernetes. | Important |
| DORA Metrics Support |
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Support is available for evaluating the performance of the software development team using DORA metrics. | Important |
| Data Replication and Sync |
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Data replication and synchronization between distributed services are managed to ensure consistency and integrity. | Important |
| Load Balancing |
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Support is available to distribute incoming requests across multiple instances or nodes, evenly distributing the workload. | Important |
| Configuration Validation |
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Infrastructure configuration files or templates are validated to ensure correctness and prevent provisioning errors. | Nice To Have |
| Environment Clean Up |
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Development or test environments are automatically cleaned up after a specific period or when they are no longer needed. | Nice To Have |
| Performance Dashboards |
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Dashboards and visualizations are provided to display real-time and historical performance metrics. | Nice To Have |
| Request Tracing |
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Support is available for tracing requests from the developer portal to different services. | Nice To Have |
| Service Discovery |
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Services are automatically discovered and registered for efficient communication within the infrastructure. | Nice To Have |
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