api.video-nodejs-client
fluent-bit
api.video-nodejs-client | fluent-bit | |
---|---|---|
7 | 35 | |
61 | 5,344 | |
- | 1.3% | |
8.0 | 9.8 | |
8 days ago | 5 days ago | |
TypeScript | C | |
MIT License | 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.
api.video-nodejs-client
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The 7 Best Live Streaming SDKs & APIs
7. api.video: Best Complete Toolkit for Integration
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Flutter - Decent Videoplayer for Streaming (HLS)
I'm currently working on a mobile project that involves watching video content. I switched from using static .mp4 files to HLS video-on-demand streaming with adaptive bitrates - that way the videos should watchable even though users have bad connection speed. I have managed that setup through hosting vidoes on api.video, which gives you a link to the HLS stream.
- Ajutor realizarea unui live streaming website
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Ask HN: Who is hiring? (February 2023)
Here is our website : https://api.video
We are looking for talented GO/PHP developer to join our Api team.
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Best option for pushing video content to an expected traffic of 1M daily on a react App
You said Vimeo is not working out for you (hard to believe Vimeo is the cause of your issues and not you). So alternatively then, your best bet is to use Mux.com, Cloudflare Stream, or api.video. They are all kind of similar but specialize in handling streaming video. You will still pay out the nose. Streaming video is expensive in general.
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Live-streaming SDK and API vendors
Api. video is one of the fastest-growing startups in the industry.
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How to Make Your Own Livestreaming Service with api.video
The tutorial can be broken into three parts. In the first part, you will use api.video’s Node.js Client to create your own livestream service. In the second part, you will create a simple React App to host your livestream service. The UI can be built using any framework you prefer. For this tutorial, we’ll stick with React. Finally, you will connect Zoom to your livestream service for users to be able to view it.
fluent-bit
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Fluentbit
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Fluent Bit with ECS: Configuration Tips and Tricks
$ docker run --rm fluent-bit-dummy WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested Fluent Bit v1.9.10 * Copyright (C) 2015-2022 The Fluent Bit Authors * Fluent Bit is a CNCF sub-project under the umbrella of Fluentd * https://fluentbit.io [2023/12/24 16:06:59] [ info] [fluent bit] version=1.9.10, commit=557c8336e7, pid=1 [2023/12/24 16:06:59] [ info] [storage] version=1.4.0, type=memory-only, sync=normal, checksum=disabled, max_chunks_up=128 [2023/12/24 16:06:59] [ info] [cmetrics] version=0.3.7 [2023/12/24 16:06:59] [ info] [output:stdout:stdout.0] worker #0 started [2023/12/24 16:06:59] [ info] [sp] stream processor started [0] dummy.0: [1703434019.553880465, {"message"=>"custom dummy"}] [0] dummy.0: [1703434020.555768799, {"message"=>"custom dummy"}] [0] dummy.0: [1703434021.550525174, {"message"=>"custom dummy"}] [0] dummy.0: [1703434022.551563050, {"message"=>"custom dummy"}] [0] dummy.0: [1703434023.551944509, {"message"=>"custom dummy"}] [0] dummy.0: [1703434024.550027843, {"message"=>"custom dummy"}] [0] dummy.0: [1703434025.550901801, {"message"=>"custom dummy"}] [0] dummy.0: [1703434026.549279385, {"message"=>"custom dummy"}] ^C[2023/12/24 16:07:08] [engine] caught signal (SIGINT) [0] dummy.0: [1703434027.549678344, {"message"=>"custom dummy"}] [2023/12/24 16:07:08] [ warn] [engine] service will shutdown in max 5 seconds [2023/12/24 16:07:08] [ info] [engine] service has stopped (0 pending tasks) [2023/12/24 16:07:08] [ info] [output:stdout:stdout.0] thread worker #0 stopping... [2023/12/24 16:07:08] [ info] [output:stdout:stdout.0] thread worker #0 stopped
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Should You Be Scared of Unix Signals?
> Libc is a lot more tricky about signals, since not all libc functions can be safely called from handlers.
And this is a huge thing. People do all kinds of operations in signal handlers completely oblivious to the pitfalls. Pitfalls which often do not manifest, making it a great "it works for me" territory.
I once raised a ticket on fluentbit[1] about it but they have abused signal handlers so thoroughly that I do not think they can mitigate the issue without a major rewriting of the signal and crash handling.
[1] https://github.com/fluent/fluent-bit/issues/4836
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Vector: a Rust-based lightweight alternative to Fluentd/Logstash
Fluentbit is Fluentd's lightweight alternative to itself.
https://fluentbit.io
- FLaNK Stack Weekly for 14 Aug 2023
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Ultimate EKS Baseline Cluster: Part 1 - Provision EKS
From here, we can explore other developments and tutorials on Kubernetes, such as o11y or observability (PLG, ELK, ELF, TICK, Jaeger, Pyroscope), service mesh (Linkerd, Istio, NSM, Consul Connect, Cillium), and progressive delivery (ArgoCD, FluxCD, Spinnaker).
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Fluentbit Kubernetes - How to extract fields from existing logs
From this (https://github.com/fluent/fluent-bit/issues/723), I can see there is no grok support for fluent-bit.
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Parsing multiline logs using a custom Fluent Bit configuration
apiVersion: v1 kind: ConfigMap metadata: name: fluent-bit-config namespace: newrelic labels: k8s-app: newrelic-logging data: # Configuration files: server, input, filters and output # ====================================================== fluent-bit.conf: | [SERVICE] Flush 1 Log_Level ${LOG_LEVEL} Daemon off Parsers_File parsers.conf HTTP_Server On HTTP_Listen 0.0.0.0 HTTP_Port 2020 @INCLUDE input-kubernetes.conf @INCLUDE output-newrelic.conf @INCLUDE filter-kubernetes.conf input-kubernetes.conf: | [INPUT] Name tail Tag kube.* Path ${PATH} Parser ${LOG_PARSER} DB /var/log/flb_kube.db Mem_Buf_Limit 7MB Skip_Long_Lines On Refresh_Interval 10 filter-kubernetes.conf: | [FILTER] Name multiline Match * multiline.parser multiline-regex [FILTER] Name record_modifier Match * Record cluster_name ${CLUSTER_NAME} [FILTER] Name kubernetes Match kube.* Kube_URL https://kubernetes.default.svc.cluster.local:443 Merge_Log Off output-newrelic.conf: | [OUTPUT] Name newrelic Match * licenseKey ${LICENSE_KEY} endpoint ${ENDPOINT} parsers.conf: | # Relevant parsers retrieved from: https://github.com/fluent/fluent-bit/blob/master/conf/parsers.conf [PARSER] Name docker Format json Time_Key time Time_Format %Y-%m-%dT%H:%M:%S.%L Time_Keep On [PARSER] Name cri Format regex Regex ^(?[^ ]+) (?stdout|stderr) (?[^ ]*) (?.*)$ Time_Key time Time_Format %Y-%m-%dT%H:%M:%S.%L%z [MULTILINE_PARSER] name multiline-regex key_content message type regex flush_timeout 1000 # # Regex rules for multiline parsing # --------------------------------- # # configuration hints: # # - first state always has the name: start_state # - every field in the rule must be inside double quotes # # rules | state name | regex pattern | next state # ------|---------------|--------------------------------|----------- rule "start_state" "/(Dec \d+ \d+\:\d+\:\d+)(.*)/" "cont" rule "cont" "/^\s+at.*/" "cont"
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Tool to scrape (semi)-structured log files (e.g. log4j)
There are also log forwarding tools like promtail and fluentbit that can be used to both ship logs to something like Loki and produce metrics.
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
FluentBit, is a logging processor that can help you to push all of your application logs to a central location like an ElasticSearch or OpenSearch cluster.
What are some alternatives?
configs - Deprecated - Currently being moved into the plugins repo
loki - Like Prometheus, but for logs.
api.video_live_stream
rsyslog - a Rocket-fast SYStem for LOG processing
SheetJS js-xlsx - 📗 SheetJS Spreadsheet Data Toolkit -- New home https://git.sheetjs.com/SheetJS/sheetjs
syslog-ng - syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
twilio-video-app-react - A collaboration application built with the twilio-video.js SDK and React.js
jaeger - CNCF Jaeger, a Distributed Tracing Platform
React - The library for web and native user interfaces.
winston - A logger for just about everything.
material-ui-docs - ⚠️ Please don't submit PRs here as they will be closed. To edit the docs or source code, please use the main repository:
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.