sui VS opentelemetry-go

Sui — a smart contract platform based on Narwhal and Bullshark protocols (written in Rust);

How can I avoid repeating these? [dependencies] sui-json = { git = "https://github.com/MystenLabs/sui.git", tag = "testnet-v1.5.0"} sui-sdk = { git = "https://github.com/MystenLabs/sui.git", tag = "testnet-v1.5.0"} sui-keys = { git = "https://github.com/MystenLabs/sui.git", tag = "testnet-v1.5.0"} sui-json-rpc-types = { git = "https://github.com/MystenLabs/sui.git", tag = "testnet-v1.5.0"} sui-types = { git = "https://github.com/MystenLabs/sui.git", tag = "testnet-v1.5.0"} shared-crypto = { git = "https://github.com/MystenLabs/sui.git", tag = "testnet-v1.5.0"}

Hello u/fancy_joe, It was moved from the framework. You can now find it as an example here. You will have to publish it to use it.

the command I'm running is "cargo install --locked --git https://github.com/MystenLabs/sui.git --branch devnet sui"

Sui's Tokenomics White Paper

Update 0.12.2 released on devnet. Detailed information on the link https://github.com/MystenLabs/sui/releases/tag/devnet-0.12.2.

We’ve recently made updates to our Wallet Adapter (Connect your dApps to Wallets on Sui) https://github.com/MystenLabs/sui/tree/main/sdk/wallet-adapter and Wallet Standard (browser wallet standard created in collaboration with Solana) https://github.com/MystenLabs/sui/tree/main/sdk/wallet-adapter/packages/wallet-standard. Note that these implementations are still new and will go through continual improvements and changes. As always we welcome contributors!! If you are building a non-browser wallet, please reach out–we are eager to engage with you to explore how to best integrate non-browser wallets into the wallet adapter ecosystem. Thanks all.

Github: https://github.com/MystenLabs/sui

Our first approach was to implement a separate SDK for each independent technology stack. We decided to use OpenTelemetry which is widely adopted and covers most of our needs.

Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.

OpenTelemetry

When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.

You can follow this process with any large token AI system like Claude by identifying tracing data relevant to the code you are working on, using it as context to prompt OpenAI or other LLMs. Generally, you’d generate tracing data by implementing OpenTelemetry (aka OTEL) libraries into your application, adding spans to your functions with Jaeger, or using commercial SaaS tools like Honeycomb and Datadog.

While many programming languages provide robust support for Open Telemetry, this instance focuses on Golang. It's important to note that, in the current context, the logs SDK for Golang is not implemented. For future reference consult the list of supported languages and explore the Open Telemetry repositories. Always prioritize the main repository and its contrib repository, housing extensions and instrumentation libraries crucial to the Open Telemetry framework. Stay updated with the latest developments to ensure seamless integration and enhanced functionality.

OneUptime (https://github.com/oneuptime/oneuptime) is the open-source alternative to DataDog. It's 100% free and you can self-host it on your VM / server / cloud or you can use SaaS at https://oneuptime.com

NEW UPDATES (since we last posted to HN): We now support OpenTelemetry (https://opentelemetry.io/) natively which will help you to monitor, observe and debug any app, service, database or stack.

OpenTelemetry is the fastest growing Cloud Native Computing Foundation (CNCF) project. It standardizes the instrumentation and collection of traces, metrics, and logs from applications, and is supported by all the major observability projects, languages, and tools. One standard to rule them all!

OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. https://opentelemetry.io/

Tracetest uses your existing OpenTelemetry traces to power trace-based testing with assertions against your trace data at every point of the request transaction. You only need to point Tracetest to your existing trace data source, or send traces to Tracetest directly!