Local Micro-Agents That Observe, Log and React. Build powerful micro-agents that observe your digital world, remember what matters, and react intelligently—all while keeping your data 100% private and secure.
This article details how Nubank built its own in-house logging platform to address issues of cost, scalability, and control over their logging infrastructure. Initially reliant on a vendor solution, they found costs rising unpredictably and experienced limitations in observability and data retention.
To solve this, Nubank divided the project into two major steps: **The Observability Stream** (ingestion and processing) and the **Query & Log Platform** (storage and querying).
* **Observability Stream:** Fluent Bit for data collection, a Data Buffer Service for micro-batching, and an in-house Filter & Process Service.
* **Query & Log Platform:** Trino as the query engine, AWS S3 for storage, and Parquet for data format.
The new platform currently ingests 1 trillion logs daily, stores 45 PB of searchable data with a 45-day retention, and handles almost 15,000 queries daily. Nubank reports the platform costs 50% less than comparable market solutions while providing them with greater control, scalability, and the ability to customize features. The project underscored Nubank's value of challenging the status quo and leveraging a combination of open-source and in-house development.
To solve this, Nubank divided the project into two major steps: **The Observability Stream** (ingestion and processing) and the **Query & Log Platform** (storage and querying).
* **Observability Stream:** Fluent Bit for data collection, a Data Buffer Service for micro-batching, and an in-house Filter & Process Service.
* **Query & Log Platform:** Trino as the query engine, AWS S3 for storage, and Parquet for data format.
The new platform currently ingests 1 trillion logs daily, stores 45 PB of searchable data with a 45-day retention, and handles almost 15,000 queries daily. Nubank reports the platform costs 50% less than comparable market solutions while providing them with greater control, scalability, and the ability to customize features. The project underscored Nubank's value of challenging the status quo and leveraging a combination of open-source and in-house development.
A guide to building a robust logging system in Python, covering structured logging, log levels, handlers, formatters, filters, and integrating logging with modern observability practices.
Articles on logging, tracing, and observability including Echopraxia, Blindsight, structured log analysis, and more.
This script defines logging functions for Bash scripts, including verbose, debug, info, warn, error, and stack trace functionalities.
This article provides an overview of OpenTelemetry, an open-source observability framework, and guides on integrating it with Go applications. It covers key concepts like logs, metrics, and traces, and demonstrates setting up a reusable telemetry package using OpenTelemetry in Go.
Ollogger is a powerful, flexible logging application that helps users create custom AI-powered logging assistants. Built with React, TypeScript, and modern web technologies.
Cloudflare, an internet infrastructure and security company, has upgraded its logging pipeline by migrating from syslog-ng to OpenTelemetry Collector. This change affects one of Cloudflare's largest data pipelines, processing millions of log events per second.
**Key Points**
* **Motivations:** Language compatibility, easier integration, enhanced metrics, and unified telemetry infrastructure.
* **Custom Components:** Custom exporter, modified file exporter, processors, and rate-limiters.
* **Migration and Future Plans:** Careful rollout, monitoring, and plans for more sophisticated log sampling techniques and open-source contributions.
* **Other Adopters:** Google, Splunk, Shopify, and GitHub are also adopting OpenTelemetry for various use cases.
**Key Points**
* **Motivations:** Language compatibility, easier integration, enhanced metrics, and unified telemetry infrastructure.
* **Custom Components:** Custom exporter, modified file exporter, processors, and rate-limiters.
* **Migration and Future Plans:** Careful rollout, monitoring, and plans for more sophisticated log sampling techniques and open-source contributions.
* **Other Adopters:** Google, Splunk, Shopify, and GitHub are also adopting OpenTelemetry for various use cases.
Use Callbacks to send Output Data to Posthog, Sentry, etc. LiteLLM provides input_callbacks, success_callbacks, and failure_callbacks to easily send data based on response status.
LiteLLM is a library to deploy and manage LLM (Large Language Model) APIs using a standardized format. It supports multiple LLM providers, includes proxy server features for load balancing and cost tracking, and offers various integrations for logging and observability.
