Telegraf
go
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Telegraf | go | |
---|---|---|
111 | 2,070 | |
13,753 | 119,564 | |
1.0% | 1.2% | |
9.9 | 10.0 | |
4 days ago | 5 days ago | |
Go | Go | |
MIT License | BSD 3-clause "New" or "Revised" 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.
Telegraf
- How I would automate monitoring DNS queries in basic Prometheus
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Current network throughput from total byte value?
The Telegraf (v1.27.3) Net Input Plugin only reports total numbers - i.e., total bytes received by an interface.
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Filestat working but need help with output
I need some help with Filestat - https://github.com/influxdata/telegraf/tree/master/plugins/inputs/filestat
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Telegraf Deployment Strategies with Docker Compose
Telegraf’s Secretstores Plugin implementation on GitHub
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Right way to link containers on host vs custom network.
That's the thing, I do need network_mode: host on telegraf in order to get host network statistics. See here or here
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Telegraf Inputs.SMART
After screwing around with it for a while, I was able to get inputs.smart working... but I'm not thrilled with the answer. According to this in order for you to get the SMART data inside a container you need to edit the sudoers file inside the container.
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Learnings from integrating JMX based metrics from Java applications into time series databases
I’ve been using the Jolokia agent with telegraf to push JVM metrics into InfluxDB (among other things). I think it can be used with Prometheus too.
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open source network monitoring tool
Do you mean Telegraf?
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Help with reading modbus using telegraf
I have two devices; both are connected to a Raspberry Pi using a USB converter as Slave 1 and 2. I want to get some readings using Telegraf software https://github.com/influxdata/telegraf/tree/release-1.26/plugins/inputs/modbus (happy to try any other linux software), but I'm having trouble (I'm seriously confused to be honest) with byte_order, data_type, and input register addresses.
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Telegraf processor plugin.
Yeah i think you can use the grok processor, docs found here: https://github.com/influxdata/telegraf/tree/master/plugins/parsers/grok
go
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
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Why Go is great choice for Software engineering.
The Go Programming Language
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OpenBSD 7.5 Released
When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:
https://github.com/golang/go/issues/16606
If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.
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Go's Error Handling Is Perfect
Sadly, I think that is indeed radically different from Go’s design. Go lacks anything like sum types, and proposals to add them to the language have revealed deep issues that have stalled any development. See https://github.com/golang/go/issues/57644
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
I've been writing a lot about Go and gRPC lately:
What are some alternatives?
prometheus - The Prometheus monitoring system and time series database.
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
Collectd - The system statistics collection daemon. Please send Pull Requests here!
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
pfSense-Dashboard - A functional and useful dashboard for pfSense that utilizes influxdb, grafana and telegraf
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
OPNsense-Dashboard - A functional and useful dashboard for OPNsense that utilizes InfluxDB, Grafana, Graylog, and Telegraf.
Angular - Deliver web apps with confidence 🚀
tcollector - Data collection framework for OpenTSDB
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020