axiom-demo
demo-scene
axiom-demo | demo-scene | |
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3 | 25 | |
13 | 1,516 | |
- | 0.3% | |
4.9 | 5.8 | |
over 2 years ago | 14 days ago | |
Shell | Shell | |
- | 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.
axiom-demo
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Observability Is Not Only for SREs
> The solution goes - Splunk is too expensive, let's ditch logs altogether and hope we capture some metrics and plot them in nice dashboards. Instead of dumping the logs highly compressed into cheap s3 and running some Snowflake or Spark on it later.
I don't usually promote on HN but this is exactly why we built https://axiom.co! We've been working on this problem for some time, essentially allowing schema-less/index-free ingest, S3-based storage in a highly-efficient format, and then querying with a Splunk-like (specifically Kusto-inspired) language via serverless functions.
We built it because we also realised we would avoid or think too much about logging (cost, scaling, retention, etc) which led to compromises either in our monitoring or later when we wanted to dive in and try and draw some insights/analytics from that kind of data.
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Better log/analytics for your Vercel projects
At Axiom we put together a Vercel integration, that enables you to monitor the health and performance of your Vercel deployments by ingesting all your request and function logs.
- Show HN: Axiom Demo
demo-scene
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Show HN: Settling merge or rebase? with Kafka and JavaScript <3
Hi HN!
I recently created a website that displays your votes on classically debated questions like 'tabs or spaces?'?
One of my favorite things about it is that if you leave the result progress bars up, and someone else votes, you can see the results change in real time.
I used the confluent-kafka-javascript(https://github.com/confluentinc/confluent-kafka-javascript) client which is currently in early access.
Votes are sent to a Kafka topic deployed in Confluent Cloud, and the code for the frontend is on Amplify while the code creating the route and Kafka clients is on EC2.
I put a version of the code here(https://github.com/confluentinc/demo-scene/tree/master/confl...) so you can follow along and deploy a similar project for yourself. I'm hoping it makes a fun way for you to learn this Kafka JavaScript client.
In the future, I'd like to implement features like allowing you to change your vote, or a board summarizing votes like "30% of developers who voted for X voted for Y".
Enjoy! Looking forward to your feedback.
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Confused and frustrated about Kafka
Here’s a great place to dig into things: https://developer.confluent.io
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Getting Started as a Kafka Developer
Once you’ve decided on a language to focus on, it’s time to start filling those knowledge gaps. Don’t be discouraged by this step. We all have knowledge gaps, and filling them can be very rewarding. First, you’ll want to make sure you have a good understanding of Kafka basics. Fortunately, there are many resources to help you with this. A web search will turn up many great books and other resources. And, of course, Confluent Developer offers interactive courses ranging from introductory (Apache Kafka 101) to advanced (Kafka Internals), full documentation, and other content to help you get started.
- Any suggestions for writing a long thesis about Kafka's scalability, availability and fault-tolerance?
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What Are Apache Kafka Consumer Group IDs?
Confluent Developer: Learn Apache Kafka through Confluent Developer tutorials, documentation, courses, blog posts, and examples.
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Problems with the set-up
Spend some time on https://developer.confluent.io , especially https://developer.confluent.io/get-started/java/ and look at https://github.com/confluentinc/examples . Those will give really practical examples for how to set up your configs and start consuming
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Looking For Suggestions on The Definitive Guide (V2)
FWIW you'll find a bunch of promo codes over at developer.confluent.io
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Kafka to fetch data from another microservices
Kafka streams is a Java library built on the producer/consumer APIs designed to create event-driven microservices on top of Kafka. In general, I recommend exploring https://developer.confluent.io to learn more
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Creating topics and console consumers using a dockerized Kafka cluster?
For example: https://github.com/confluentinc/demo-scene/tree/master/kafka-connect-zero-to-hero
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A few starter questions: What is a good setup for learning? Is Confluent platform ok?
should I be reading a different material for a first Kafka project and working with a different kind of setup? Now, I can't be unbiased on this one ;) One of the things we're doing with Confluent Developer is to try and create a resource for people to learn Kafka from the ground up, whether they ultimately decide to pursue it on Confluent or not. The fundamentals of Kafka that you'll be learning are going to be as applicable whether you're using Apache Kafka self-managed, or Confluent, or AWS' MSK, or whatever else. Personally I'd this stage I'd use whatever setup you find easiest and least friction to your learning journey. As u/louisvell mentioned, /u/stephanemaarek's courses on Udemy are also very popular, if you wanted a "second opinion" on how to approach learning Kafka.
What are some alternatives?
examples - Apache Kafka, Apache Flink and Confluent Platform examples and demos
kenzer - automated web assets enumeration & scanning [DEPRECATED]
docker-kafka-kraft - Apache Kafka Docker image using Kafka Raft metadata mode (KRaft). https://hub.docker.com/r/moeenz/docker-kafka-kraft
axiom-honeycomb-proxy - A log forwarder/multiplexer for Axiom and Honeycomb.
cp-all-in-one - docker-compose.yml files for cp-all-in-one , cp-all-in-one-community, cp-all-in-one-cloud, Apache Kafka Confluent Platform
kubernetes-conjur-demo - Demo application for Conjur Kubernetes integration
kafka-lag-exporter - Monitor Kafka Consumer Group Latency with Kafka Lag Exporter
avro-piper - Console utilities for Avro
protoactor-go - Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
aeson-pretty - JSON pretty-printing library and command-line tool.
confluent-kafka-python - Confluent's Kafka Python Client