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Otto is a hybrid cloud orchestration platform designed to provision infrastructure and deploy application workloads across diverse cloud environments using infrastructure as code. It functions as an infrastructure as code provisioner that automates the deployment of consistent resources through policy-driven workflows.
The main features of hashicorp/otto are: Cloud Provisioning, Hybrid Cloud Infrastructure, Infrastructure as Code, Hybrid Cloud Provisioning, Cloud Infrastructure Automation, Cross-Infrastructure Provisioning, Application Delivery Workflows, Hybrid Cloud Orchestration Platforms.
Projects with overlapping indexed features include: aws/aws-cdk — The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision… lyft/cartography — Cartography is a graph-based infrastructure visualization and security analysis framework. It ingests data from… codeaprendiz/learn-devops — This project is a comprehensive educational repository designed to teach DevOps practices through structured learning… maiot-io/zenml — ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data… boto/boto3 — Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud… pulumi/pulumi — Pulumi is an infrastructure-as-code framework that enables the definition, deployment, and management of cloud…
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
Cartography is a graph-based infrastructure visualization and security analysis framework. It ingests data from diverse cloud, identity, and software-as-a-service providers to model complex relationships between resources, users, and security findings within a centralized graph database. By mapping these interdependencies, the platform enables organizations to gain visibility into their environment and identify potential security risks through graph traversal queries. The platform distinguishes itself through its ontology-based normalization and cross-platform entity correlation, which map he
This project is a comprehensive educational repository designed to teach DevOps practices through structured learning paths and hands-on exercises. It focuses on mastering infrastructure management, container orchestration, and system administration by providing a curriculum that covers the full lifecycle of cloud-native environments, from initial provisioning to ongoing maintenance and security. The repository distinguishes itself by offering a practical, task-based approach to complex operational domains. It guides users through the implementation of infrastructure-as-code, the configuratio
ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself