Open Source Cloud Services Software - Page 5
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Amazon Genomics CLI
Tool to simplify the processes of deploying the AWS infrastructure
Amazon Genomics CLI is an open-source CLI that helps customers run genomics workflows in the cloud by automating the deployment of best practices infrastructure for workflow engines. Amazon Genomics CLI reduces the time for scientists and developers to start running existing genomics workflows at scale and speeds up iteration cycles as they develop new ones. Amazon Genomics CLI is an open-source tool for genomics and life science customers that simplifies and automates the deployment of cloud infrastructure, providing you with an easy-to-use command-line interface to quickly setup and run genomics workflows on Amazon Web Services (AWS) specified by languages like WDL. By removing the heavy lifting from setting up and running genomics workflows in the cloud, software developers and researchers can automatically provision, configure and scale cloud resources to enable faster and more cost-effective population-level genetics studies, drug discovery cycles, and more. -
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Amazon Neptune Gremlin .NET SigV4
A custom library for Amazon Neptune that enables AWS Signature Version
This project provides a custom library that extends the Apache TinkerPop Gremlin.NET client to enable AWS IAM Signature Version 4 signing for establishing authenticated connections to Amazon Neptune. For example usage refer to: NeptuneGremlinNETSigV4Example.cs. This example shows how to leverage this library for establishing an authenticated connection to Neptune. The GremlinClient library accepts both a GremlinServer object as well as a webSocketConfiguration object that contains a custom configuration set for establishing the WebSocket connection to Amazon Neptune. The SigV4RequestSigner library fetchs IAM credentials using the FallbackCredentialsFactory API (which works similarly to the Java Default Credential Provider Chain), performs the proper Signature Version 4 signing of an http request, and creates the proper WebSocket configuration based on this signed http request. One can then pass this webSocketConfiguration to the GremlinClient to create the connection to Neptune. -
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Amazon Neptune Gremlin Java Sigv4
A Gremlin client for Amazon Neptune that includes AWS Signature
An extension to GremlinDriver with a custom channelizer that enables AWS Signature Version 4 signed requests to Amazon Neptune. This series uses TinkerPop 3.3.x client. Note that active maintenance on TinkerPop 3.3.x has stopped and hence, this version is not recommended. This series uses TinkerPop 3.4.x client. This major version tracks the latest stable release for this package. Note that a minor version (y in 2.x.y) is bumped whenever a new version of Apache TinkerPop is added as a dependency or a major feature is introduced. All minor versions in 2.x series are backward compatible. This package can also be used to enable Gremlin Console to send signed requests to Neptune, refer to Connecting to Neptune Using the Gremlin Console with Signature Version 4 Signing. -
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Amazon Neptune Sparql Java Sigv4
A SPARQL client for Amazon Neptune that includes AWS Signature
A SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository. SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository and Jena HTTP Client. -
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Aws::Record
Aaws-record gem, an abstraction for Amazon DynamoDB
A data mapping abstraction over the AWS SDK for Ruby's client for Amazon DynamoDB. This library is currently under development. More features will be added as we approach general availability, and while our initial release has as small of an API surface area as possible, the interface may change before the GA release. We would like to invite you to be a part of the ongoing development of this gem. We welcome your contributions, and would also be happy to hear from you about how you would like to use this gem. Feature requests are welcome. This automatically includes a dependency on the aws-sdk-dynamodb gem (part of the modular version-3 of the AWS SDK for Ruby. -
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Azure SDK for .NET
Active development of the Azure SDK for .NET
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. New wave of packages that we are announcing as GA and several that are currently releasing in preview. These libraries follow the Azure SDK Design Guidelines for .NET and share a number of core features such as HTTP retries, logging, transport protocols, authentication protocols, etc., so that once you learn how to use these features in one client library, you will know how to use them in other client libraries. You can learn about these shared features at Azure.Core. Last stable versions of packages that are production-ready. These libraries provide similar functionalities to the preview packages, as they allow you to use and consume existing resources and interact with them, for example: upload a storage blob. Stable library directories typically contain 'Microsoft.Azure' in their names. -
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Azure SDK for Python
Active development of the Azure SDK for Python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. For your convenience, each service has a separate set of libraries that you can choose to use instead of one, large Azure package. To get started with a specific library, see the README.md (or README.rst) file located in the library's project folder. Last stable versions of packages that have been provided for usage with Azure and are production-ready. These libraries provide you with similar functionalities to the Preview ones as they allow you to use and consume existing resources and interact with them, for example: upload a blob. They might not implement the guidelines or have the same feature set as the November releases. They do however offer wider coverage of services. A new set of management libraries that follow the Azure SDK Design Guidelines for Python are now available. -
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BLESS
An SSH Certificate Authority that runs as an AWS Lambda function
BLESS is an SSH Certificate Authority that runs as an AWS Lambda function and is used to sign SSH public keys. SSH Certificates are an excellent way to authorize users to access a particular SSH host, as they can be restricted for a single-use case, and can be short-lived. Instead of managing the authorized_keys of a host, or controlling who has access to SSH Private Keys, hosts just need to be configured to trust an SSH CA. BLESS should be run as an AWS Lambda in an isolated AWS account. Because BLESS needs access to a private key that is trusted by your hosts, an isolated AWS account helps restrict who can access that private key, or modify the BLESS code you are running. AWS Lambda functions can use an AWS IAM Policy to limit which IAM Roles can invoke the Lambda Function. If properly configured, you can restrict which IAM Roles can request SSH Certificates. -
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CapRover
Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids
CapRover is an extremely easy-to-use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, Nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface. For a developer who does not like spending hours and days setting up a server, building tools, sending code to the server, building it, getting an SSL certificate, installing it, update nginx over and over again. Deploy apps in your own space (Node js, PHP, Python, Java literally any language!) Simple interface for many docker operations, exposing container ports to host, setting up persistent directories, instance count and etc. Optionally fully customizable Nginx config allowing you to enable HTTP2, specific caching logic, custom SSL certs and etc. -
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Cerebral
Declarative state and side effects management for popular JavaScript
Declarative state and side effects management for popular JavaScript frameworks. The entire Cerebral codebase has been rewritten to encourage contributions. The code is cleaned up, commented and all code is in a "monorepo". That means you can run tests across projects and general management of the code is simplified a lot. When you make a code change you should create a branch first. When the code is changed and backed up by a test you can commit it from the root. A declarative approach to application logic also allows us to build developer tools that builds the mental image of this complexity for you. It makes perfect sense for us to write our UIs with declarative code. The reason is that we need to reuse UI elements and compose them together in different configurations. UIs are complex. But what about our application logic? Applications are becoming more complex in nature as we push the boundaries of user experiences. -
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Chartbrew
Open-source web platform used to create live reporting dashboards
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embeddable charts, query & requests editor, and team capabilities. It is recommended you head over to the more detailed documentation to find out how to set up Chartbrew. The CLI tool creates a chartbrew/.env file which you can configure at any time if you want to change the database, API & client host, etc. The file contains comments explaining what each environmental variable is for. Before running the commands below, make sure you have a MySQL server already running and an empty database that Chartbrew can use. If you want to run your Docker image with new environmental variables, it's important to build the client application again withing the image. -
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Checkov
Prevent cloud misconfigurations during build-time for Terraform
Checkov scans cloud infrastructure configurations to find misconfigurations before they're deployed. Checkov uses a common command-line interface to manage and analyze infrastructure as code (IaC) scan results across platforms such as Terraform, CloudFormation, Kubernetes, Helm, ARM Templates and Serverless framework. Verify changes to hundreds of supported resource types in all major cloud providers. Checkov supports developers using Terraform, Terraform plan, CloudFormation, Kubernetes, ARM Templates, Serverless, Helm, and AWS CDK. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. -
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Choerodon
Open Source Multi-Cloud Integrated Platform
Choerodon is an Open source whole value chain multi-cloud agile collaboration platform, which is built on open source technologies, including Kubernetes, Istio, knative, Gitlab and Spring Cloud, to enable integration of local and cloud environments and achieve the consistency of enterprise cloud/hybrid cloud environments. By providing Lean-Agile, continuous delivery, container environments, microservices, DevOps, and other capabilities, the platform helps organizations to manage applications lifecycle, and deliver business value rapidly and frequently. Choerodon 2.0: Open source with new capabilities for greater availability and stability! Choerodon 2.0 brings new capabilities for open source code management, artifact library management, CI/CD pipeline, container management, environment resources, application deployment, and more to provide greater availability and stability. Although this release does not include project management, test management, knowledge base etc. -
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Cloud Custodian
Rules engine for cloud security, cost optimization, and governance
Cloud Custodian enables users to be well managed in the cloud. The simple YAML DSL allows you to easily define rules to enable a well-managed cloud infrastructure, that's both secure and cost-optimized. It consolidates many of the ad-hoc scripts organizations have into a lightweight and flexible tool, with unified metrics and reporting. Custodian supports managing AWS, Azure, and GCP public cloud environments. Besides just providing reports of issues, Custodian can actively enforce the security policies you define. Setup off-hours to save you money, by turning-off resources when they're not being used. Garbage collects unused resources by looking into utilization metrics. Custodian can be run locally, on an instance, or Serverless in AWS Lambda. Cloud Custodian is open source and free for everyone to use. Use Custodian to build complex workflows or simple queries, millions of policies can be constructed using our easy-to-read DSL. -
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CloudBase Framework
A front-end and back-end integrated deployment tool
Tencent CloudBase Framework is a full-stack deployment solution that simplifies building and deploying serverless applications on Tencent Cloud. It integrates with modern frontend frameworks like React, Vue, and Next.js, and automates infrastructure provisioning, including functions, databases, and hosting. Designed for scalable, cloud-native development, it supports CI/CD pipelines and cloud configuration out of the box. -
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CloudBrute
Awesome cloud enumerator
A tool to find a company (target) infrastructure, files, and apps on the top cloud providers (Amazon, Google, Microsoft, DigitalOcean, Alibaba, Vultr, Linode). The outcome is useful for bug bounty hunters, red teamers, and penetration testers alike. While working on HunterSuite, and as part of the job, we are always thinking of something we can automate to make black-box security testing easier. We discussed this idea of creating a multiple platform cloud brute-force hunter.mainly to find open buckets, apps, and databases hosted on the clouds and possibly app behind proxy servers. Cloud detection (IPINFO API and Source Code) Supports all major providers. Black-Box (unauthenticated). Fast (concurrent), modular and easily customizable, cross Platform (windows, linux, mac), user-agent randomization, proxy randomization (HTTP, Socks5). -
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CloudEvents
CloudEvents Specification
Events are everywhere. However, event producers tend to describe events differently. The lack of a common way of describing events means developers must constantly re-learn how to consume events. This also limits the potential for libraries, tooling and infrastructure to aide the delivery of event data across environments, like SDKs, event routers or tracing systems. The portability and productivity we can achieve from event data is hindered overall. CloudEvents is a specification for describing event data in common formats to provide interoperability across services, platforms and systems. -
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CloudQuery
The open-source cloud asset inventory powered by SQL
CloudQuery extracts, transforms and loads your cloud assets into normalized PostgreSQL tables. CloudQuery enables you to assess, audit, and monitor the configurations of your cloud assets. Use standard SQL to find any asset based on any configuration or relation to other assets. Connect CloudQuery standard PostgreSQL database to your favorite BI/Visualization tool such as Grafana, QuickSight, etc. Codify your security & compliance rules with SQL as the query engine. Integrate CloudQuery with your current visualization, monitoring, and alerting such as Grafana. CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. Build a cloud-asset inventory across any of our supported official or community providers. -
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Cloudprober
Active monitoring software to detect failures
Cloudprober is a monitoring software that makes it super-easy to monitor availability and performance of various components of your system. Cloudprober employs the “active” monitoring model. It runs probes against (or on) your components to verify that they are working as expected. For example, it can run a probe to verify that your frontends can reach your backends. Similarly it can run a probe to verify that your in-Cloud VMs can actually reach your on-premise systems. This kind of monitoring makes it possible to monitor your systems’ interfaces regardless of the implementation and helps you quickly pin down what's broken in your system. Written entirely in Go, and compiles into a static binary. Deploy as a standalone binary, or through docker containers. Continuous, automated target discovery, to ensure that most infrastructure changes don't require re-deployment. Low footprint. -
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ConsoleMe
A central control plane for AWS permissions and access
ConsoleMe is a web service that makes AWS IAM permissions and credential management easier for end-users and cloud administrators. ConsoleMe provides numerous ways to log in to the AWS Console. An IAM Self-Service Wizard lets users request IAM permissions in plain English. Cross-account resource policies will be automatically generated and can be applied with a single click for certain resource types. Weep (ConsoleMe’s CLI) supports 5 different ways of serving AWS credentials locally. Cloud administrators can create/clone IAM roles and natively manage IAM roles, users, inline/managed policies, S3 Buckets, SQS queues, and SNS topics across hundreds of accounts in a single interface. Users can access most of your cloud resources in the AWS Console with a single click. Cloud administrators can configure ConsoleMe to authenticate users through ALB Authentication, OIDC/OAuth2, or SAML. -
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Dataproc Templates
Dataproc templates and pipelines for solving simple in-cloud data task
Dataproc templates are designed to address various in-cloud data tasks, including data import/export/backup/restore and bulk API operations. These templates leverage the power of Google Cloud's Dataproc, supporting both Dataproc Serverless and Dataproc clusters. Google provides this collection of pre-implemented Dataproc templates as a reference and for easy customization. -
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Davinci
Davinci is a DVsaaS (Data Visualization as a Service) Platform
Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching, social intelligence, etc. Sharing and intelligence capability means users could share their dashboards with others, which stimulates them to improve the visualization ability both in aesthetic perception and technical skills. In the field of data visualization, Davinci attaches great importance to basic interaction ability and various chart options; meanwhile, it lays more stress on integration and customization capability as well as sharing and intelligence capability. -
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Easegress
A Cloud Native traffic orchestration system
The Easegres (formally known as Ease Gateway) helps to enlarge the availability and stability, also can improve the performance without changing a line of code. It also can smoothly support rapid business growth without re-arch the whole system. Easegress can be a typical seven-level API Gateway, it also can be a side-car to be a Service Mesh, and Easegress can perfectly work with other software to ship powerful features, such as: Kubernetes Ingress, Knaitve FaaS, and Eureka/Consul/Etcd/Nacos and so on. The Easegress can management the traffic and APIs, not only can do load balancing, canary development but also can aggregate and pipeline a number of APIs. This function automatically helps the website optimize its performance, such as: adding the cache, merging the requests, and reducing the network bandwidth. Sometimes, a site could have unexpectedly higher traffic, the Ease Gateway could help to protect the critical service for critical customers. -
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Empire
A PaaS built on top of Amazon EC2 Container Service (ECS)
Empire is a control layer on top of Amazon EC2 Container Service (ECS) that provides a Heroku-like workflow. It conforms to a subset of the Heroku Platform API, which means you can use the same tools and processes that you use with Heroku, but with all the power of EC2 and Docker. Empire is targeted at small to medium-sized startups that are running a large number of microservices and need more flexibility than what Heroku provides. You can read the original blog post about why we built Empire on the Remind engineering blog. Empire aims to make it trivially easy to deploy a container-based microservices architecture, without all of the complexities of managing systems like Mesos or Kubernetes. ECS takes care of much of that work, but Empire attempts to enhance the interface to ECS for deploying and maintaining applications, allowing you to deploy Docker images. -
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FilterBadRecruiters
Google Apps Script to send third party recruiter email to spam
FilterBadRecruiters is a Google Apps Script that processes new messages looking for unwanted email from known third party recruiters. When a match is found, a reply is sent informing the sender that the message is being reported as spam and will not be read. The script then logs matches to a spreadsheet and updates a pie chart displaying what percentage of these type of messages were sent from each domain.
