Sawmills Secures $10M Investment to Transform Observability Costs

Sawmills Raises $10M to Address Rising Observability Expenses
Today marks a significant milestone for Sawmills as they unveil their AI-driven telemetry data management platform, having secured $10 million in seed funding. Their innovative solution is crafted to tackle the escalating costs and complexities associated with observability in software development.
The Challenge of Modern Software Observability
As technology continues to advance, companies are finding themselves amidst a whirlwind of complexities. The observation of systems and their performance has become vital, yet maintaining observability comes with its own set of challenges.
With organizations often facing exorbitant annual expenses—averaging around $2 million on observability—many are shocked by unexpected charges that seem to arrive out of the blue. Notably, one financial services organization experienced an astounding $65 million bill from Datadog, which underscored the urgent need for smarter solutions in software monitoring.
Insights from Sawmills’ Creators
Sawmills was founded by experienced professionals from the tech sector, including former leaders at prominent firms like New Relic and CloudBees. Ronit Belson, the CEO, highlighted the urgency with which companies are grappling with the dual pressures of cost and data reliability. Their research indicates that an overwhelming 90% of observability data may remain ineffective, prompting companies to spend resources on collecting and maintaining this data.
Transforming Observability Management with AI
What sets Sawmills apart is its intelligent, AI-driven approach to managing telemetry data. The platform does not just limit itself to data collection but actively analyzes the data streams, identifying opportunities for cost savings while enhancing monitoring capabilities. It introduces a framework that encourages businesses to adopt smarter operational policies, making it easier to avoid sudden cost spikes.
Real-Time Solutions for Improving Data Quality
By utilizing AI models, Sawmills processes logs, metrics, and traces in real time, swiftly identifying issues such as missing data or inconsistent formats. This immediate response not only optimizes operational costs but also ensures that organizations can react promptly to any complications, enhancing the overall efficacy of their observability processes.
Benefits of the Sawmills Platform
Businesses that adopt the Sawmills platform witness impressive transformations. Companies are empowered to streamline telemetry management, ensuring they respond effectively to their business’s unique needs. Early users have reported improvements in their observability resource allocation, optimizing costs while bolstering data governance.
Looking Ahead: A New Path for Observability
Industry experts affirm that telemetry data management represents an emerging category in enterprise cloud infrastructure. The comprehensive vision and technical expertise displayed by Sawmills suggest they are poised to lead this new domain. This initiative is not just about trimming expenses; it’s about revolutionizing how observability is handled in the digital age, making it an essential component of modern enterprise infrastructure.
Frequently Asked Questions
What is the main focus of Sawmills?
Sawmills primarily focuses on optimizing observability costs and enhancing data quality through AI-powered telemetry data management.
How does Sawmills enhance observability practices?
It utilizes AI models to analyze real-time telemetry data, identify issues, and implement solutions that reduce spending and enhance data management.
What challenges do companies face with observability today?
The main challenges include spiraling costs, poor data quality, and unexpected billing, leading many companies to seek smarter management solutions.
Who founded Sawmills?
Sawmills was founded by Ronit Belson, Amir Jakoby, and Erez Rusovsky, all experienced professionals in the software and cloud technology sectors.
What impact has Sawmills had on early adopters?
Early users have reported improvements in costs, resource allocation, and overall data governance, indicating significant benefits from using the platform.
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