The cloud-agnostic-architecture illusion

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • WorkOS - The modern identity platform for B2B SaaS
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  • image-spec

    OCI Image Format

  • We build all services as containerized workloads, i.e., OCI images - sometimes called Docker images. We deploy these to the Kubernetes product offered by the cloud vendor. Whenever we need some capability, containers are the answer. This insulates our applications from the vendor. In principle, we could switch providers as long as Kubernetes is available.

  • PostgreSQL

    Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

  • PostgreSQL is a SQL-based, relational database, similar to MariaDB or Microsoft SQL Server. Each product offers different capabilities. PostgreSQL, e.g., offers strong support for handling CSV data and extended support for regular expressions. Microsoft SQL Server on the other hand offers Views that update automatically.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Keycloak

    Open Source Identity and Access Management For Modern Applications and Services

  • We need to host many infrastructure components ourselves. If we cannot depend on the cloud provider's IAM solution, then we have to roll our own Keycloak.

  • docs

    User documentation for Knative components. (by knative)

  • The same holds for the runtime. If we use containers, we could use Google's GKE because a comparable product exists on AWS with Amazon EKS. We could even use the serverless Google Cloud Run, because it is based on KNative, which we could port to Azure or AWS, too.

  • nodejs-pubsub

    Node.js client for Google Cloud Pub/Sub: Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics.

  • We can mitigate lock-in by following first principles. Loosely coupled architectures are popular for a reason. We can build systems that allow replacing single components if we follow this principle. E.g., if we move our dependency to GCP's Pub/Sub to a specific component, moving to AWS requires replacing that component with a new AWS SNS version.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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