Flip AI provides an AI-powered Large Language Model (LLM) designed for DevOps. It specializes in predicting and resolving business disruptions swiftly by analyzing observability data. The LLM understands all forms of data, including unstructured, to aid in quick recovery of software issues. Aimed at debugging production incidents without prior model training, it integrates with existing observability systems, fine-tuning based on feedback and recognizing patterns to ensure immediate value. Flip prioritizes enterprise data security, is non-intrusive, and guarantees no data egress. Developed by a team with experience at AWS and government, Flip AI is revolutionizing observability with their proprietary DevOps LLM.

Flip AI

DevOps-focused LLM for rapid business disruption resolution and system restoration.

Observability

Sentry is a platform for developers providing tools for identifying, debugging, and fixing code errors and performance issues. It supports various programming languages and frameworks, helping over 90,000 teams. Sentry gives detailed error reports including environment, device, OS, and problematic code commits. It also facilitates automated alerts and issue tracking through integration with tools like Slack, Jira, GitHub. Additionally, Sentry offers performance monitoring to detect slow transactions and browser profiling for app optimization. Privacy controls protect user data during session replays, which provide visual context like dead clicks. Setup is quick, prioritizing both trust and security.

Sentry

Developer-first app monitoring platform for code error resolution and insights.

Axiom provides a platform for logging without data sampling, allowing observation of every event. It supports ingestion and storage of petabytes of data efficiently, with compatibility for various agents, languages, and services. Axiom enables data collection from multiple sources such as Splunk, Datadog, and Elastic, while also supporting OpenTelemetry logs, traces, and metrics. Its schema-less datastore requires no index management, offering the capability to live stream events and utilize advanced querying with APL. Dashboards and alerting features allow for data visualization and monitoring. Users can instantly query any data, manage event routing, and use dashboards for a comprehensive view, without worrying about complex licensing or provisioning.

Axiom

Axiom manages and queries large-scale data for organizational insights.

Highlight is an open source, fullstack monitoring platform designed for modern web applications. It provides developers with a cohesive view of their entire stack, combining error tracking, session replay, logs, and more to understand application issues deeply. The platform supports modern frameworks, integrates with various development tools, and ensures compliance with security standards like SOC 2, HIPAA, or ISO. Highlight enables developers to catch and debug bugs, gain insights into user interactions, and improve customer support by understanding user behavior. The startup encourages joining their open source community for collaborative improvement and offers hands-on support to enhance user experience.

Highlight

Monitoring platform providing insight for full-stack web application performance.

Langfuse is an open source platform providing observability and analytics tools for machine learning language (LLM) applications. It aims to streamline debugging and tracing in these complex environments, ensuring that developers can understand the impact of changes in application performance. Langfuse comes equipped with prebuilt dashboards, analytics, integration capabilities for Python and JavaScript/TypeScript SDKs, and is designed to work with any LLM app. Additionally, their platform offers integrations for popular frameworks and libraries, and encourages collaboration through their community on Discord. Langfuse offers various pricing tiers, including a free option for hobbyists and two paid versions for professional and team usage.

Langfuse

Open source observability, analytics for large language model applications.

Helicone is a startup focused on providing monitoring solutions for large language model (LLM) applications. It is designed for developers and companies to gain insights and understand the performance of their LLM applications in real-time with just two lines of code for integration. Helicone supports any LLM provider, is built for substantial scale to manage millions of requests seamlessly, and enhances understanding of model usage and cost. With features like caching, rate limiting, retries, and analytics, users can streamline development, deployment, and scaling of their LLM apps, ensuring efficient operation and protection against various issues.

Helicone

Helicone provides AI observability tools for LLM application monitoring.

New Relic is an all-in-one observability platform offering data-centric solutions for engineers to monitor, debug, and optimize their software stack. The platform encompasses the full stack, including front end, back end, infrastructure, vulnerabilities, and logs. It integrates with Slack, enhancing collaboration within the team. New Relic positions itself as a cost-effective solution with a generous free tier that doesn't require a credit card to get started. It provides 750+ integrations and promises up to 5x value. New Relic focuses on building data-driven engineers and demolishing operational silos while ensuring enterprise-level security for data protection.

New Relic

Observability platform for engineering team stack monitoring and improvement.

Flip AI

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