microservices-demo
flyte
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microservices-demo | flyte | |
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31 | 31 | |
15,577 | 4,645 | |
1.5% | 5.7% | |
9.7 | 9.8 | |
about 17 hours ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
microservices-demo
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Jump into Microservices Testing with Docker Compose and Skyramp
Skyramp provides a sample project, sample-microservices, which serves as an excellent starting point for demonstrating testing and mocking with a full-featured distributed application. The application is based on Google's Online Boutique repo, which is an e-commerce store consisting of 11 different microservices. The docker-compose-demo branch referenced above showcases how Skyramp can be seamlessly integrated with Docker Compose for testing microservices with no local setup required. You can also clone the repository and explore the structure of the microservices setup for your own purposes.
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Turbocharge Your Debugging with Skyramp's Hot Code Reload
Our starting point is the hot-code-reload-demo branch in Skyramp's letsramp/sample-microservices GitHub repo. You can use your browser to navigate to the correct branch in the repo here. The sample-microservices repo contains a demo project based on GCP's Online Boutique with added support for REST and Thrift APIs. This sample e-commerce application is perfect for demonstrating cloud-native development and testing, including debugging with Hot Code Reload with Skyramp.
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Testing Microservices with Skyramp in IntelliJ IDEA
This blog features the Skyramp fork of Google’s popular cloud-native microservices demo app, Online Boutique. Online Boutique is a web-based e-commerce app containing microservices that mimic real-world services, such as a product catalog, shopping cart, ad service, recommendation service, payment service, and others. The services use gRPC APIs by default, but Skyramp has also added support for REST and Thrift APIs.
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[P] Machine Learning Threat Detection in k8s
Well, what is considered "real" data here? Why couldn't you simply set up a managed k8s cluster with some prometheus monitoring and run the microservices-demo on it. There is even a synthetic load generator. You could purposefully add in specific kinds of faults into the working system, ones that are supported in metasploit so you can automate intrusions. Consider some goals for gaining access like: exfiltration, denial of service, ransomware. Then consider how you might detect such attacks purely from what you can read out of the prometheus time series data (eg. high egress traffic plus high req/s to redis might mean an exfiltration).
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Keep Calm! Kubernetes Cluster!! with helm file
The microservices source code repository for this project is from this link; google-microservices-demo, containing 11 services we will deploy with this demo. Also, from the same repo, it was illustrated and visualized how these services are connected to each other including a 3rd party service for database - redis. Among the services, Frontend serves as an entrypoint for all the services receiving external requests from the browser. Meanwhile, the load generator deployment is optional, so in this demo we wouldn't bother deploying it.
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Microservice Communication
OpenAPI and possibly developing reusable, versioned client libraries could help, but it's a major undertaking that gRPC makes redundant. I'd be tempted to use grpc-gateway even if I had to implement a REST API. Try looking into buf and monorepo structures for proto management, e.g. something like GoogleCloudPlatform/microservices-demo. For more thorough proto and grpc-gateway definition examples, see googleapis/googleapis.
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Is it worth instrumenting with open-telemetry?
I also just discovered Google Cloud's microservices-demo repository, which has some samples of how to set up otel observability and GCP-specific Go profiling on GCP. I wish I'd found it before setting up otel myself.
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Esteros - Online ice cream shop
My main inspiration in creating this project was the project that was used as an example for this Hackaton. That is, microservices-demo which is licensed under the Apache 2.0 license.
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Open-source microservice application for architecting practice?
I like this demo from google running services in different languages https://github.com/GoogleCloudPlatform/microservices-demo
- Example repos for a full microservice application?
flyte
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First 15 Open Source Advent projects
9. Flyte by Union AI | Github | tutorial
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Orchestration: Thoughts on Dagster, Airflow and Prefect?
Anyone tried Flyte?
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Flyte(v1.5.0) - Self-hosted solution to build production-grade data and ML pipelines; now ships with streaming support, pod templates, partial tasks and more 🚀 (3.2k stars on GitHub)
Flyte is an open source orchestration tool for managing the workflow of machine learning and AI projects. It runs on top of Kubernetes.
GitHub: https://github.com/flyteorg/flyte
- Kubernetes for Data Science with Kubeflow
- Dabbling with Dagster vs. Airflow
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Airflow's Problem
Some of these were the core problems that we wanted to address as part of https://flyte.org. We started with a team first and multi-tenant approach at the core. For example, each team can have separate IAM roles, secrets are restricted to teams, tasks and workflows are shareable across teams, without making libraries. and it is possible to trigger workflows across teams.
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Introducing Flyte (v1.1.0): Orchestrate Your Machine Learning and Data Pipelines with Ease (2.5K Stars on GitHub, Kubernetes-Native)
GitHub: https://github.com/flyteorg/flyte
Website: https://flyte.org/
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
argo - Workflow Engine for Kubernetes
temporal - Temporal service
argocd-example-apps - Example Apps to Demonstrate Argo CD
kubeflow - Machine Learning Toolkit for Kubernetes
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
hera - Hera is an Argo Python SDK. Hera aims to make construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. ⭐️ Remember to star!
bank-of-anthos - Retail banking sample application showcasing Kubernetes and Google Cloud
pachyderm - Data-Centric Pipelines and Data Versioning
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.