San Francisco – SigNoz, a prominent open-source observability platform, announced over the weekend that its GitHub repository has surpassed 23,000 stars, marking a significant milestone in its growth and community engagement. Co-founder Pranay Prateek shared the achievement, emphasizing the company's commitment to defining standards in open-source observability.
SigNoz positions itself as a robust open-source alternative to proprietary solutions like Datadog and New Relic, offering a unified platform for metrics, traces, and logs. The company leverages OpenTelemetry for data ingestion and ClickHouse as its high-performance data store, aiming to provide predictable pricing and avoid vendor lock-in for developers.
The accumulation of 23,000 GitHub stars underscores the project's increasing popularity and the strong support it garners from the developer community. GitHub stars serve as a key indicator of an open-source project's adoption, interest, and perceived value, often leading to greater visibility and contributions.
Prateek highlighted an upcoming feature, "Trace funnels," expressing particular excitement for its potential. This innovation will allow users to "analyse user journeys and conversion funnels directly from your traces, including funnel validation, step-by-step analytics," according to his social media post. This capability aims to provide deeper insights into application performance and user behavior.
The company's growth is further supported by recent financial backing. In September 2023, SigNoz successfully raised $5.4 million in a seed funding round led by SignalFire, bringing its total funding to $6.5 million, including an earlier investment from Y Combinator. These funds are earmarked for product maturation and scaling its cloud and enterprise offerings.
Prateek conveyed his gratitude to the developer community, stating, "Always grateful to the dev community for their continued support." He concluded with a forward-looking sentiment, "Let’s keep pushing the boundaries of what’s possible in open-source observability."