jaeger
Hoppscotch
jaeger | Hoppscotch | |
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94 | 212 | |
19,409 | 60,091 | |
0.7% | 0.7% | |
9.7 | 9.6 | |
7 days ago | 7 days ago | |
Go | TypeScript | |
Apache License 2.0 | MIT License |
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.
jaeger
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Observability with OpenTelemetry, Jaeger and Rails
Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. https://www.jaegertracing.io/
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Show HN: An open source performance monitoring tool
As engineers at past startups, we often had to debug slow queries, poor load times, inconsistent errors, etc... While tools like Jaegar [2] helped us inspect server-side performance, we had no way to tie user events to the traces we were inspecting. In other words, although we had an idea of what API route was slow, there wasn’t much visibility into the actual bottleneck.
This is where our performance product comes in: we’re rethinking a tracing/performance tool that focuses on bridging the gap between the client and server.
What’s unique about our approach is that we lean heavily into creating traces from the frontend. For example, if you’re using our Next.js SDK, we automatically connect browser HTTP requests with server-side code execution, all from the perspective of a user. We find this much more powerful because you can understand what part of your frontend codebase causes a given trace to occur. There’s an example here [3].
From an instrumentation perspective, we’ve built our SDKs on-top of OTel, so you can create custom spans to expand highlight-created traces in server routes that will transparently roll up into the flame graph you see in our UI. You can also send us raw OTel traces and manually set up the client-server connection if you want. [4] Here’s an example of what a trace looks like with a database integration using our Golang GORM SDK, triggered by a frontend GraphQL query [5] [6].
In terms of how it's built, we continue to rely heavily on ClickHouse as our time-series storage engine. Given that traces require that we also query based on an ID for specific groups of spans (more akin to an OLTP db), we’ve leveraged the power of CH materialized views to make these operations efficient (described here [7]).
To try it out, you can spin up the project with our self hosted docs [8] or use our cloud offering at app.highlight.io. The entire stack runs in docker via a compose file, including an OpenTelemetry collector for data ingestion. You’ll need to point your SDK to export data to it by setting the relevant OTLP endpoint configuration (ie. environment variable OTEL_EXPORTER_OTLP_LOGS_ENDPOINT [9]).
Overall, we’d really appreciate feedback on what we’re building here. We’re also all ears if anyone has opinions on what they’d like to see in a product like this!
[1] https://github.com/highlight/highlight/blob/main/LICENSE
[2] https://www.jaegertracing.io
[3] https://app.highlight.io/1383/sessions/COu90Th4Qc3PVYTXbx9Xe...
[4] https://www.highlight.io/docs/getting-started/native-opentel...
[5] https://static.highlight.io/assets/docs/gorm.png
[6] https://github.com/highlight/highlight/blob/1fc9487a676409f1...
[7] https://highlight.io/blog/clickhouse-materialized-views
[8] https://www.highlight.io/docs/getting-started/self-host/self...
[9] https://opentelemetry.io/docs/concepts/sdk-configuration/otl...
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Kubernetes Ingress Visibility
For the request following, something like jeager https://www.jaegertracing.io/, because you are talking more about tracing than necessarily logging. For just monitoring, https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack would be the starting point, then it depends. Nginx gives metrics out of the box, then you can pull in the dashboard like https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/ , or full metal with something like service mesh monitoring which would provably fulfil most of the requirements
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Migrating to OpenTelemetry
Have you checked out Jaeger [1]? It is lightweight enough for a personal project, but featureful enough to really help "turn on the lightbulb" with other engineers to show them the difference between logging/monitoring and tracing.
[1] https://www.jaegertracing.io/
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The Road to GraphQL At Enterprise Scale
From the perspective of the realization of GraphQL infrastructure, the interesting direction is "Finding". How to find the problem? How to find the bottleneck of the system? Distributed Tracing System (DTS) will help answer this question. Distributed tracing is a method of observing requests as they propagate through distributed environments. In our scenario, we have dozens of subgraphs, gateway, and transport layer through which the request goes. We have several tools that can be used to detect the whole lifecycle of the request through the system, e.g. Jaeger, Zipkin or solutions that provided DTS as a part of the solution NewRelic.
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OpenTelemetry Exporters - Types and Configuration Steps
Jaeger is an open-source, distributed tracing system that monitors and troubleshoots the flow of requests through complex, microservices-based applications, providing a comprehensive view of system interactions.
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Fault Tolerance in Distributed Systems: Strategies and Case Studies
However, ensuring fault tolerance in distributed systems is not at all easy. These systems are complex, with multiple nodes or components working together. A failure in one node can cascade across the system if not addressed timely. Moreover, the inherently distributed nature of these systems can make it challenging to pinpoint the exact location and cause of fault - that is why modern systems rely heavily on distributed tracing solutions pioneered by Google Dapper and widely available now in Jaeger and OpenTracing. But still, understanding and implementing fault tolerance becomes not just about addressing the failure but predicting and mitigating potential risks before they escalate.
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Observability in Action Part 3: Enhancing Your Codebase with OpenTelemetry
In this article, we'll use HoneyComb.io as our tracing backend. While there are other tools in the market, some of which can be run on your local machine (e.g., Jaeger), I chose HoneyComb because of their complementary tools that offer improved monitoring of the service and insights into its behavior.
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Building for Failure
The best way to do this, is with the help of tracing tools such as paid tools such as Honeycomb, or your own instance of the open source Jaeger offering, or perhaps Encore's built in tracing system.
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Distributed Tracing and OpenTelemetry Guide
In this example, I will create 3 Node.js services (shipping, notification, and courier) using Amplication, add traces to all services, and show how to analyze trace data using Jaeger.
Hoppscotch
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Bypass CORS errors while testing your APIs using Hoppscotch 🔧
How can Hoppscotch help you intercept the API calls? 👽
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Hoppscotch v2024.3.0: Access Control, Variable Scopes and more..
We need you help to constantly improve Hoppscotch so that we can make it easier for you to build better software! Write to us at [email protected] or head over to our GitHub repository if you have any feedback about Hoppscotch 💚!
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7 Essential Hoppscotch Features to Skyrocket API Development Productivity 🚀
For the past five years, Hoppscotch 🛸 has been quietly transforming the way developers tackle their work in the API development world. Our mission has always been to make developer's lives easier and their workflows smoother, all from the comfort of their browser. And guess what? We might have evolved and gotten strong, but we are staying true to our goal of simplifying things for developers everywhere. Today, we're here to spill the beans on the simple yet powerful productivity hacks that Hoppscotch offers. Get ready to level up your development game in ways you never imagined.
- When 'open core' projects reject contributions for competing with the EE
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Introducing secret variables in Hoppscotch Environments
Hoppscotch is a powerful yet simple-to-use API testing suite. It removes a lot of complexity, making it easy for anyone to get started with API testing. Try Hoppscotch now!
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Handling Firebase Notifications in Flutter: Practical Tips
Hoppscotch - HTTP client used for sending notifications through the Google API.
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Hoppscotch - API testing at the speed of light⚡
We began as a web-based API client at hoppscotch.io, where anyone can easily initiate API testing. Ever since then the Hoppscotch Desktop app has been a highly requested product by our community. We've been listening and are excited to announce that the day has finally arrived - today marks the launch of the public alpha version of the Hoppscotch Desktop App for macOS, Windows, and Linux!
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Tell HN: Postman just wiped all my stuff
We’re building an open-source Postman alternative.
1.6m+ users, 100k+ monthly active users, 55k+ GitHub stars.
Web app: https://hoppscotch.io
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How to contribute to Hoppscotch 🛸?
The collective efforts and commitment of our team has led Hoppscotch towards remarkable improvements on its path to transforming the API development ecosystem. But, the speed of evolution we've experienced wouldn't have been possible without the open-source nature of Hoppscotch. A significant portion of our success is attributed to our dedicated contributors who have resolved existing issues, filed bug reports, authored blogs, created tutorials, and spread the word about Hoppscotch within their networks 🤝 .
- Ask HN: What are your favorite alternatives to Postman and Insomnia?
What are some alternatives?
Sentry - Developer-first error tracking and performance monitoring
insomnia - The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
skywalking - APM, Application Performance Monitoring System
bruno - Opensource IDE For Exploring and Testing Api's (lightweight alternative to postman/insomnia)
prometheus - The Prometheus monitoring system and time series database.
postman-app-support - Postman is an API platform for building and using APIs. Postman simplifies each step of the API lifecycle and streamlines collaboration so you can create better APIs—faster.
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. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Pinpoint - APM, (Application Performance Management) tool for large-scale distributed systems.
KrakenD - Ultra performant API Gateway with middlewares. A project hosted at The Linux Foundation
fluent-bit - Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows
GrapesJS - Free and Open source Web Builder Framework. Next generation tool for building templates without coding