Manage and scale rampant data growth and cloud native complexity with the only observability solution purpose-built for modern business needs: Chronosphere

Chronosphere is the only observability platform that puts you back in control by taming rampant data growth and cloud native complexity, delivering increased business confidence. Chronosphere is backed by venture capital investors Greylock, Lux Capital, General Atlantic, Addition, and Founders Fund. The team is distributed, with major hubs in New York, Seattle and Vilnius. The founders and engineers architected, developed, and scaled Uber’s monitoring platform. As the company’s cloud native journey began and adoption of microservices and container based infrastructure grew, it became obvious that no solution, open source or vendored, was scalable, reliable or cost efficient enough. The answer was to build from within, with a focus on tackling the unique challenges cloud native applications created for monitoring. The outcome was the metrics engine – M3 – which was developed in open source from day one to ensure it would not only solve the problem for a single company, but help the broader community as well.

M3 scaled to power one of the largest production monitoring use cases in the world, ingesting billions of data points per second and serving hundreds of thousands of dashboards and alerts. It was also adopted by other household brands such as Walmart, FedEx, and Comcast. As the open source community grew, so did the next layer of questions from large organizations and fast growing tech companies that needed more than what the open source project had to offer. It only felt right to take this as an opportunity to build upon the technology and the experience gained to go on a mission to create the world’s most scalable, reliable, and customizable cloud monitoring solution for the rest of the companies that are embarking on their cloud native journeys.

Your cloud native observability platform

Your observability heartbeat starts with metrics. You need to ingest and query high cardinality metrics generated by your containerized infrastructure, microservices applications, and business services. Generate near instantaneous alerts that go to the relevant teams with all the context they need to rapidly triage the incident. With lightning fast queries and dashboards, teams get everything they need to remediate issues before your customers feel a thing.

Distributed traces are extremely powerful tools for solving problems across large and/or complex systems. Start with the broader context from alerts and dashboards and hone in on more granular distributed trace data to quickly understand the root cause of a problem. Stop making decisions based on statistics, guesses, and samples. Capture, store and analyze every single distributed trace (even at scale), allowing you to make more accurate decisions based on the full distributed trace data set. Use intelligent aggregation and analysis to compare two sets of traces rather than individual spans. Observability is one of the most expensive items in your budget. Its cost is out of balance with the value it delivers. Stop making trade-offs that reduce visibility and increases risk.  

Chronosphere allows you to get your observability data growth under control and helps you transform your existing observability tools and practice from a cost-center to a source of competitive advantage.

How It Works

The Control Plane helps you reduce observability data volume, and cost, to improve performance and deliver more business value. It’s built upon a framework required for success that Chronosphere developed over its four years of working with leading cloud native companies.

Key Benefits

Reduce observability data volumes by 60% or more

• Using shaping policies, the average Chronosphere customer uses the Control Plane to reduce their data by 60% while improving outcomes. 
• Easily identify and eliminate data that isn’t used and doesn’t deliver value.

Keep cost predictable and manageable, even as you scale

• Eliminate unexpected overages and contain cardinality spikes by assigning quotas by team or service.
• Empower teams to manage their own data with insights to the value of their data and the tools necessary to optimize it.

Reduce time spent troubleshooting by 50%

• With data continuously optimized, engineers can find the data they need to solve problems faster. 
• Amplify underutilized high-value data to ensure the entire organization has access to it.

Benefits of adopting the Observability Data Optimization Cycle framework

According to a recent study by ESG, 69% of companies are concerned with the rate of their observability data growth. Implementing this framework effectively will allow any company experiencing the cloud native observability data explosion to significantly improve the amount of data they store while improving the usefulness of the data for their engineers. With observability data costs and growth right sized and under control, the organization can use the budget and time savings to do more and move observability from a cost center to a source of competitive advantage, further improving the ROI of their observability practice.

The new world of cloud native makes controlling data based on the value it delivers, not just cost, a requirement to ensure the best possible observability outcomes. The best observability outcomes extend to more than just identifying and remediating issues quickly. They include using observability data to uncover new business opportunities, generating insights that help to improve the customer experience, etc. Cloud native opens up the opportunity to use observability data in entirely new ways, not possible with previous architectures.

The Observability Data Optimization Cycle outlines what is necessary to move your observability practice from a cost center to a source of competitive advantage. And Chronosphere is the best solution and partner to help make that happen.

Meet the leader behind the success of Chronosphere

Martin Mao is the Co-Founder and CEO of Chronosphere. He was previously at Uber, where he led the development and SRE teams that created and operated M3. Prior to that, he was a technical lead on the EC2 team at AWS and has also worked for Microsoft and Google. He and his family are based in Chronosphere’s Seattle hub and he enjoys playing soccer and eating meat pies in his spare time.

“With Chronosphere, customers can shape and transform their observability data based on need, context, and utility. Only store useful data you actually need to see, so you can reduce cost and improve performance. That’s smart business.”