microservices-demo
container-service-extension
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microservices-demo | container-service-extension | |
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31 | 1 | |
15,577 | 78 | |
1.5% | - | |
9.7 | 5.4 | |
about 13 hours ago | 22 days ago | |
Go | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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 Googleโs 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?
container-service-extension
We haven't tracked posts mentioning container-service-extension yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
argocd-example-apps - Example Apps to Demonstrate Argo CD
bank-of-anthos - Retail banking sample application showcasing Kubernetes and Google Cloud
devtron - Tool integration platform for Kubernetes
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
truenas-csp - TrueNAS Container Storage Provider for HPE CSI Driver for Kubernetes
example-helm-go-microservice - Example Go microservice with Helm chart
eks-anywhere - Run Amazon EKS on your own infrastructure ๐
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. ๐ฅ ๐ฅ. ๐ Open source Application Performance Monitoring (APM) & Observability tool
microservices-demo - Deployment scripts & config for Sock Shop
loki - Like Prometheus, but for logs.
parca - Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
charts - Bitnami Helm Charts