After epidemic-driven cloud adoption in the enterprise, costs are finally coming. with a microscope. MMore than a third of organizations report cloud budget overruns of up to 40%, according to recent data. Poll By observational software vendor Pepperdata. A separate survey from Flexera found that optimizing existing cloud services is a top motivation for 59% of companies – with cost being the main motivation.
An entire cottage industry of startups has sprung up around facilitating cloud computing. But among the competition, Sync Computing claims to uniquely match business objectives such as cost and runtime reduction with low-level infrastructure configurations. Founded as a spinout from MIT Lincoln Lab, Sink today raised $12 million (plus $3.5 million in debt) in a venture funding round led by Costanoa Ventures, along with The Motor, Moore Strategic Ventures and National Grid Partners.
Synergy co-founders Jeff Chu and Suraj Bramhavar both worked as members of the technical staff at MIT’s Lincoln Laboratory before starting the startup. Bramhavar came to MIT in a photonics research position at Intel, and Chu co-founded another startup — Anoka Microsystems — designing low-cost optical switches.
Synchronization was born out of inventions developed at Lincoln Lab, a A method to speed up the mathematical optimization problem commonly found in logistics applications. Many cloud computing solutions offer recommendations for high-level optimization or support workflows that optimize workloads, sync go deep; Chou and Bramhavar sayWith application-specific lists and recommendations based on algorithms designed to “order” the appropriate resources.
“[We realized that our methods] It can greatly improve the resource utilization of all large-scale computing systems,” Chu told TechCrunch in an email interview. “As Moore’s Law diminishes, this will be a key point of technology.
Chu says he doesn’t want to optimize data pipelines and sync in historical data to provide low-level cloud resources. For example, some customers have speeded up their Apache Spark workloads by up to 80% with just one data acquisition from the past – Apache Spark is the popular analytics engine for data processing.
Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databrick on AWS. Self-service support for Databricks on Azure is in progress.
“The launch of our public API will allow users to implement sync automation for multiple tasks and provide continuous monitoring. [cloud environments] With custom integration,” Chou said. “The C-suite cares about managing cloud computing costs, and our synchronization automation does this by accelerating the output of data science and data analytics teams… The product enables data engineers to quickly change infrastructure settings to meet business goals. For example, one day, teams may need to cut costs and advance turnaround time, but the next day, they may have a tight deadline, so they need to speed up the runtime. With Sync, this can be done with one click.
Sink first used the technology at MIT’s Supercomputing Center with major government high-performance computing centers, including the Department of Defense—which has a $1 million contract. Now, Sync says it has roughly 300 registered users on the self-service app and offers testing and feedback to “several dozen” design partners, including Duolingo and engineers on Disney’s streaming services team.
“The pandemic and recent economic climate have had benefits to match, as controlling cloud costs with improved efficiency is now top of mind for many cloud software-as-a-service-native companies. Many companies are hiring snowballs and need a ‘simple key’ to drop cloud costs without adding burden or extra fees to overcapacity teams, Chu said. “With the recent economic downturn, the demand for a unique approach to synchronization has increased significantly, and it has already been adopted by major enterprise customers. Our main challenge is for developers and CTOs to see how what we build is different and also realize that they can benefit greatly from using both.
Chu said the latest round of funding brings Boston-based Sync’s total capital to $21.6 million to focus on customer acquisition, marketing and sales, product development and R&D, including integrations with existing engineering workflows. Sync currently has 14 employees, a number Chu expects to grow to 25 by the end of the year.