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OpsClarity develops a performance monitoring solution designed for modern applications and complex data infrastructures. Its platform offers comprehensive observability, specifically targeting the intricate challenges of reactive applications and distributed systems. The technology provides essential insights for maintaining operational integrity and efficiency within dynamic software environments.
The company was founded in 2013 by Alan Ngai, Amit Sasturkar, and Dhruv Jain. Their collective experience, including a founder's background at Google, informed the critical insight that led to OpsClarity's inception: the increasing difficulty in effectively monitoring and managing the performance of highly distributed and reactive software architectures. They aimed to address this gap with specialized tooling.
OpsClarity primarily serves DevOps and engineering teams who operate and manage sophisticated application landscapes. The company's vision was to empower these teams with the necessary tools to understand, diagnose, and optimize performance in environments characterized by constant change and high concurrency. Its focus was on ensuring the reliability and responsiveness of critical modern systems.
OpsClarity has raised $11.0M across 1 funding round.
OpsClarity has raised $11.0M in total across 1 funding round.
OpsClarity has raised $11.0M across 1 funding round. Most recently, it raised $11.0M Series A in December 2015.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2015 | $11M Series A | Swaroop Kolluri | CapitalG, Expa, Greylock, NEO, Next Play Ventures, Y Combinator, Adrian Aoun, Charlie Songhurst, Drew Houston, Gabriel Naouri, Hadi Partovi, Henry Kravis, Jeff Bezos, Jeffrey Wilke, Marc Benioff, Nicolas Berggruen, Noosheen Hashemi, Shane Neman, TOM Chapman, AME Cloud Ventures, Morado Ventures, Pinnacle Ventures | Announced |
OpsClarity has raised $11.0M in total across 1 funding round.
OpsClarity's investors include Swaroop Kolluri, CapitalG, Expa, Greylock, NEO, Next Play Ventures, Y Combinator, Adrian Aoun, Charlie Songhurst, Drew Houston, Gabriel Naouri, Hadi Partovi.
OpsClarity is a technology company specializing in intelligent monitoring solutions for modern fast data, streaming applications, and containerized environments. It builds a data-science-driven platform that provides automated discovery, real-time analysis, and operations intelligence for DevOps teams managing complex, high-velocity data pipelines.[1][5][6][8] The product serves enterprises in sectors like retail, technology, banking, healthcare, lifesciences, financial services, manufacturing, and cybersecurity, solving the problem of monitoring and troubleshooting fast data streams, infrastructure, and applications where traditional batch processing falls short—enabling real-time fraud detection, personalized customer interactions, and rapid issue resolution.[1][8] A 2016 survey by OpsClarity highlighted strong market momentum, with 92% of companies planning increased investment in streaming data technologies, 79% shifting away from batch processing, and widespread adoption of tools like Apache Kafka, Spark, and Storm.[1]
OpsClarity emerged from stealth as a startup led by experienced engineers from Cisco, Google, and Yahoo, including CEO and co-founder Dhruv Jain, who brought expertise in operations and analytics for modern software stacks.[1][6] The idea stemmed from the growing complexity of fast data and streaming applications in the mid-2010s, where DevOps teams lacked intelligent tools to handle real-time data pipelines amid rising adoption of technologies like Apache Kafka—used by companies such as Uber, Netflix, and Goldman Sachs.[1][6] Early traction came through launches like its application and infrastructure monitoring platform and automated discovery for containerized apps, alongside surveys revealing industry pain points like expertise gaps in data frameworks (cited by 44% of respondents).[1][5][8] Pivotal moments included endorsements from industry leaders like Confluent's Jay Kreps, underscoring OpsClarity's role in transforming operations with data science.[1]
OpsClarity rides the explosive trend of real-time streaming and fast data processing, fueled by the shift from batch to continuous analytics in an era of IoT, microservices, and containers.[1][8] Timing was ideal in the mid-2010s as Apache Kafka and Spark gained traction, enabling companies to embed data into fraud detection, customer personalization, and operational resilience—trends that have since defined cloud-native DevOps.[1] Market forces like surging data volumes and the need for sub-second decisions favor OpsClarity, reducing reliance on outdated MapReduce while amplifying tools like Kafka across sectors from banking to manufacturing.[1][8] It influences the ecosystem by highlighting maturity gaps (e.g., expertise shortages) and promoting intelligent ops, paving the way for autonomous systems in cybersecurity and beyond, much like self-driving tech demands flawless real-time monitoring.[1][8]
OpsClarity's focus on streaming intelligence positions it for resurgence amid ongoing AI-driven ops and edge computing booms, potentially expanding into autonomous monitoring for multi-cloud and AI workloads. Trends like zero-trust security and generative AI data pipelines will shape its path, demanding even smarter anomaly detection. Its influence could evolve from niche DevOps enabler to core infrastructure layer, especially as 92% investment signals persist in real-time ecosystems—reinforcing its role in powering the next wave of data-native enterprises.[1]
