WunderGraph Hub Integrations

Slack is a cloud-based project collaboration and team interaction software solution specially designed to seamlessly facilitate communication across organizations. Featuring powerful tools and services integrated into a single platform, Slack provides private channels to promote interaction within smaller teams, direct channels to help send messages directly to colleagues, and public channels that enables members across organizations to start conversations. Available on Mac, Windows, Android, and iOS apps, Slack offers a plethora of features that include chat, file sharing, collaborative workspace, real-time notifications, two-way audio and video, screen sharing, document imaging, activity tracking and logging, and more.

Solving today's complex business problems takes teams of engaged people working together. We’ve built an online guide to teach you and your team the secrets of successful teamwork. When you have a place to create and make decisions as a team, there’s no limit to what you can achieve. Teams brings everything together in a shared workspace where you can chat, meet, share files, and work with business apps. Get your team on the same page with group chat, online meetings, calling, and web conferencing. Collaborate on files with built-in Microsoft 365 (formerly Office 365) apps like Word, Excel, PowerPoint, and SharePoint. Add in your favorite Microsoft apps and third-party services to keep the business moving forward. Get end-to-end security, administrative control, and compliance—all powered by Microsoft 365. Teams is designed for groups of all kinds. Get started with the free, no-commitments version. You can also get Teams as part of the best-in-class suite of productivity tools.

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Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/

WunderGraph is an open source, next-generation API platform designed to unify, manage, and accelerate how developers compose, integrate, and serve APIs from diverse backends (such as REST, gRPC, Kafka, and GraphQL) into a single, type-safe, high-performance API surface that modern applications can consume. It includes Cosmo, a full lifecycle API management solution for federated GraphQL that provides schema registry, composition checks, routing, analytics, metrics, tracing, and observability, all manageable via code in your existing development workflows rather than separate dashboards. WunderGraph lets teams define how multiple services should be composed into one API, automatically generate type-safe client libraries, and handle authentication, authorization, and API calls with built-in tooling that fits into CI/CD and Git-centric processes.

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools. Send a GraphQL query to your API and get exactly what you need, nothing more and nothing less. GraphQL queries always return predictable results. Apps using GraphQL are fast and stable because they control the data they get, not the server. GraphQL queries access not just the properties of one resource but also smoothly follow references between them. While typical REST APIs require loading from multiple URLs, GraphQL APIs get all the data your app needs in a single request. Apps using GraphQL can be quick even on slow mobile network connections.