Superlog

Rollbar

Rollbar is an error monitoring and observability platform that helps engineering teams detect, understand, and resolve production issues in real time. It automatically groups similar errors, tracks releases and deploys, and surfaces root-cause context, and it processes over 2 billion errors monthly across teams using 10+ supported languages. Rollbar also includes session replay to visualize what users experienced alongside related errors, and an AI-powered Resolve agent that reviews code, identifies the underlying issue, and can open a pull request with a proposed fix. It connects with AI coding agents via MCP integration so production error data can inform fixes without leaving the development workflow.

Herald

Herald is an AI SRE (Site Reliability Engineering) tool designed to proactively detect and resolve potential issues within software systems before they impact users or trigger alerts. It achieves this by building a comprehensive context graph encompassing observability data, codebase, CI/CD pipelines, and documentation. This allows Herald to understand normal system behavior and identify anomalies with high accuracy, even for novel incidents that traditional threshold-based monitoring would miss. Once an anomaly is detected, Herald automatically investigates across code, infrastructure, and telemetry to pinpoint the root cause. This investigation process is iterative and data-driven, evaluating multiple hypotheses simultaneously and correlating signals from various sources. The system then presents the determined root cause, often with actionable remediation advice, significantly reducing the Mean Time To Resolution (MTTR) and preventing downtime. Developed by a team with expertise in AI, LLMs, and data systems from UC Berkeley's RISELab, Herald is trusted by leading tech companies. It offers a next-generation approach to incident management, moving beyond reactive alert handling to true proactive incident prevention and contextualized problem-solving, aiming to deliver results in days rather than months.

Instalog

Instalog is a crash reporting and observability platform that captures every crash, log, and event in your app, then uses AI to explain what broke and how to fix it. It supports iOS, Android, Flutter, React Native, and Expo with a single SDK, and integrates with team tools like Slack and Linear.

Middleware

Middleware is a full-stack observability platform that unifies infrastructure monitoring, application performance monitoring (APM), real-user monitoring (RUM), logs, synthetic testing, and LLM observability in one place. Instead of juggling multiple tools, engineering teams can ingest all telemetry data and view it on a single timeline, making it easier to detect issues and move from symptom to root cause quickly. At the core of the platform is OpsAI, an AI-powered SRE agent. It analyzes traces, RUM data, and logs to automatically detect production issues, pinpoint the exact line of code responsible, and even open a pull request with fixes. Users can also ask for dashboards, charts, or queries in plain English, eliminating the need to learn a custom query language. Middleware is built for scale and reliability, with native OpenTelemetry support, 450+ integrations, petabyte-scale data handling, and enterprise-grade security including SOC 2, GDPR, ISO 27001, and HIPAA readiness. It offers a completely free tier to get started and provides 24/7 support from real engineers rather than chatbots.

Multiplayer

Multiplayer is a local-first, AI-powered debugging agent for developers. It connects coding agents like Claude Code, Codex, and Copilot to production environments by capturing full-stack, auto-correlated, unsampled data around issues. It then routes that data to your preferred coding agent to generate deduplicated, high-quality pull requests, reducing noise and review fatigue.