- AI-driven Continuous Optimization company Opsani announced that it raised $10 million in Series A funding
Opsani — a leading provider of AI-driven Continuous Optimization for cloud applications — announced that it secured a $10 million Series A round of funding led by Redpoint Ventures with participation from early investors Zetta Ventures and Bain Capital.
Redpoint partner Satish Dharmaraj will be joining the Opsani board in conjunction with the funding round. And this funding round will be used for scaling Opsani’s operations to tackle the projected $50 billion cloud spend market in 2020, which is projected to grow at 20% year over year.
Savvy organizations utilize a robust and effective continuous integration (CI) and continuous delivery (CD) toolchain that quickly and automatically sends safe new code to users. But up until now, DevOps teams have not been able to optimize the runtime environment—the complexity has grown beyond human scale. And a simple five-container application can have more than 255 trillion hardware and software resources and basic parameter permutations. Applications are able to run, but DevOps do not really know if they’re getting the best performance and efficiency in their environments.
Opsani has addressed the problem by adding a new best practice to the CI/CD toolkit: automated continuous optimization (CO). CO uses AI to autonomously optimize cloud applications and their infrastructure for maximum efficiency, performance for end-users, and cost savings.
“Redpoint immediately saw the opportunity company has to save companies millions against the soaring costs of cloud-first environments while creating the best possible experience for their applications’ users,” said Opsani CEO Ross Schibler. “They’re keenly aware of how DevOps is changing, growing and becoming a strategic advantage, and with Redpoint’s help, CI and CD will be joined by CO (Continuous Optimization) as the recognized best practices trifecta of DevOps.”
Schibler was formerly the CTO of Cisco and the VP of Systems Architecture at Violin Memory. And Schibler founded Opsani with CTO and VP of Engineering Peter Nickolov and VP of Products and Marketing Bert Armijo.
On average, Opsani customers are experiencing more than a 200% increase in performance per dollar, getting more out of their applications while saving up to 80% on their cloud spend—overnight. And CO relies on systems that automatically adjust runtime parameters in response to performance and cost—even in ways people would not consider: to optimize the trillions of possible combinations. As a result, companies quickly recognize dramatic cloud cost savings through increased efficiency while most importantly — delivering a better experience to their end-users.
“Ancestry (an Opsani customer) is obsessed with our customers’ experience and their journeys. That passion for their personal discovery and satisfaction drives us to continuously innovate and use cutting-edge technology to benefit our millions of users,” said Ancestry Chief Architect Russ Barnett. “We’re continuously growing and to support expansion, we invest in new products to ensure Ancestry’s performance and efficiency are delivering maximum value. Opsani will allow us to maintain optimal performance of our cloud resources and gain visibility and control to manage costs in an increasingly complex environment.”
Since Opsani is constantly gathering new data, it continuously uncovers new optimization solutions. And Opsani reacts constantly to new traffic patterns, new code, new instance types, and all other key business metrics. With each new iteration, the system’s predictions are able to find the optimal solutions and they’re automatically promoted—no human intervention is needed. Infrastructure is tuned precisely to the workload and goals of the application—whether those goals relate to cost, performance, or some balance of the two.
And Opsani integrates with AWS, Azure, Google Cloud Platform, and Kubernetes. And plugins are available for GitHub, Terraform, Jenkins, Spinnaker, Wavefront, DataDog, SignalFX, Prometheus, Splunk, and New Relic.
“Redpoint has been successful in following its core philosophy of prioritizing and backing great teams, so getting behind Opasni carries that tradition forward. Ross and Peter are serial company builders and leaders, and they’ve again identified an unmet need that Opsani is uniquely positioned to service. Continuous Optimization of cloud-based applications completes the CI/CD toolset in DevOps,” added Satish Dharmaraj, Partner, Redpoint Ventures. “Using machine learning, Opsani automatically tunes applications for efficiency, best possible performance for end-users, and saves millions on cloud spend,” Dharmaraj said. “This needs to be a new best practice for agile software teams. The savings Opsani delivers drops right to the bottom line while making the user experience consistently great, and that’s a boon for the industry as a whole.”