Archive — US — techcrunch
Observe continues to adapt to the changing world of software observability
Observe, an observability platform, founded in 2017, is adapting to rapid changes in software observability driven by AI advancements. The platform helps engineers identify software disruptions using AI agents, but faster software releases generate more data complexity. CEO Jeremy Burton announced the release of a Model Context Protocol to streamline workflows, with a focus on supporting Apache Iceberg by year-end and significant revenue growth.
Key points
- Founded in 2017 to address software observability challenges.
- AI advancements lead to more frequent software updates and increased data production.
- Observe's product uses AI agents to enhance issue detection and resolution.
- Complexity rises as more agents are deployed within networks.
- Model Context Protocol (MCP) released to integrate observability into developers' workflows.
- Company's revenue nearly tripled in 2024, maintaining a 93% customer retention rate.
- Funding includes $156 million in Series C led by Sutter Hill Ventures for R&D and new hires.
- Expecting to support Apache Iceberg, an open-source data format, by year-end.
Why it matters
- The shift towards AI-driven software development aligns with trends in DevOps and continuous integration.
- The rise of observability platforms reflects the growing complexity of microservices and cloud-native architectures.
- By 2025, many companies are expected to integrate AI into their workflows, echoing Observe's adaptations.
Observe is positioning itself at the forefront of software observability by leveraging AI to meet emerging complexities, reflecting broader trends in tech that emphasize both rapid software development and sophisticated data management.