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Buddy (also known as Buddy.Works) is a web-based and self-hosted continuous integration and delivery software for Git developers that can be used to build, test, and deploy web sites and applications with code from GitHub, Bitbucket, and GitLab.
To get started with AWS CDK, developers need to install the AWS CDK Toolkit, which provides a command-line interface (CLI) for creating and managing AWS CDK projects. [17] The CLI can be installed using the Node.js package manager or any compatible package manager. Once the AWS CDK Toolkit is installed, developers can create a new AWS CDK ...
The open-source Pulumi CLI and SDKs allows users to manage cloud infrastructure resources [3] in Cloud Providers such as AWS, Azure, Google Cloud, and Kubernetes. [4] using programming languages such as Go, JavaScript, TypeScript, [5] Python, Java, C# and YAML. Pulumi's Automation API supports provisioning infrastructure via programmatic ...
Vagrant is a source-available software product for building and maintaining portable virtual software development environments; [5] e.g., for VirtualBox, KVM, Hyper-V, Docker containers, VMware, Parallels, and AWS. It tries to simplify the software configuration management of virtualization in order to increase
[59] [60] The data is aggregated and provided through AWS management console. It can also be accessed through command line tools and Web APIs, [61] if the customer desires to monitor their EC2 resources through their enterprise monitoring software. Amazon provides an API which allows clients to operate on CloudWatch alarms.
Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...
Wercker is a Docker-based continuous delivery platform that helps software developers build and deploy their applications and microservices.Using its command-line interface, developers can create Docker containers on their desktop, automate their build and deploy processes, testing them on their desktop, and then deploy them to various cloud platforms, ranging from Heroku to AWS and Rackspace.
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]