microservices-demo
signoz
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microservices-demo | signoz | |
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31 | 310 | |
15,744 | 16,811 | |
1.9% | 2.8% | |
9.7 | 9.9 | |
2 days ago | 7 days ago | |
Go | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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Small non complicated apps for k8s demo
You can check https://github.com/GoogleCloudPlatform/microservices-demo for Kubernetes show-casing
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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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I'm looking for a homelab partner!
I'm planning to host this application: Google Microservices Demo (It's an online shop)
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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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How to organize monorepo for microservices?
This demo repo might be a good starting point: https://github.com/GoogleCloudPlatform/microservices-demo
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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.
signoz
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Show HN: OneUptime – open-source Datadog Alternative
You should also check out SigNoz [1], we are an open-core alternative to DataDog - based natively on OpenTelemetry. We also have a cloud product if you don't want to host yourself
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Indexing one petabyte of logs per day with Quickwit
You might want to have a look at SigNoz [1] as well. We have also published some perf benchmark wrt Elastic & Loki [2] and have some cool features like logs pipeline for manipulating logs before ingestion
- Open-Source Observability – SigNoz
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Tools used by the top 1% of Platform Engineers and their Commercial Open Source Alternatives
Check Signoz's repo on GitHub
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Show HN: Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog
SigNoz maintainer here.
We also have traces, metrics and logs in a single application which makes correlation across them much easier. From what I can understand from Quickwit website, they use Grafana and Jaeger for UI.
Here'e our github repo if you want to check it out. https://github.com/signoz/signoz
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Sentry new TOS to use data to train AI with no opt-out
Using user's private with no opt-out option is unethical.
If anyone is looking self-hosted for alternatives then they should try SigNoz: https://github.com/SigNoz/signoz
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Top 11 New Relic Alternatives & Competitors
SigNoz is a great New Relic alternative that is open-source and provides three signals in a single pane of glass. You can monitor logs, metrics, and traces and correlate signals for better insights into application performance.
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Share your DevOps setups
If anyone wants to check the project, here's our github repo - https://github.com/signoz/signoz
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Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
You need a backend to which you can send the collected data for monitoring and visualization. SigNoz is an OpenTelemetry-native APM that is well-suited for visualizing OpenTelemetry data.
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Spring Boot Monitoring with Open-Source Tools
Once the data is collected, it needs to be sent to a backend. That’s where SigNoz comes into the picture. SigNoz is an open-source OpenTelemetry-native APM that provides logs, metrics and traces under a single pane of glass.
What are some alternatives?
argocd-example-apps - Example Apps to Demonstrate Argo CD
skywalking - APM, Application Performance Monitoring System
bank-of-anthos - Retail banking sample application showcasing Kubernetes and Google Cloud
prometheus - The Prometheus monitoring system and time series database.
devtron - Tool integration platform for Kubernetes
uptrace - Open source APM: OpenTelemetry traces, metrics, and logs
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
example-helm-go-microservice - Example Go microservice with Helm chart
zipkin - Zipkin is a distributed tracing system
truenas-csp - TrueNAS Container Storage Provider for HPE CSI Driver for Kubernetes
Sentry - Developer-first error tracking and performance monitoring