Sumo Logic becomes the first machine data analytics vendor to unify both structured and unstructured data, significantly expanding their market opportunities, and providing a broader range of service offerings for partners.
Suku Krishnaraj, Sumo Logic’s VP of Product Marketing
Redwood City-based application performance management vendor Sumo Logic has announced a new platform, which for the first time unifies unstructured log data and structured metrics data together in a machine data analytics platform. It provides full visibility of the entire modern application stack using all machine data sources, like Graphite, AWS Cloud Watch, Docker, Chef, Apache, and MySQL.
“Sumo Logic works in the cloud-native machine data analytics space, collecting data from logs,” said Suku Krishnaraj, Sumo Logic’s VP of Product Marketing. “With this we are adding metrics, which are structured data, to our platform, and providing the industry’s first unification of these different data types in machine data analytics.”
Krishnaraj said that within the last week Sumo Logic has crossed a milestone with over 1000 customers. While they have marquee enterprise customers like Toyota and Twitter which have massive amounts of data being analyzed, he indicated that their market penetration is pretty much divided between the enterprise, with over 1000 employees, and midmarket and SMBs with below than 1000.
“At the lower end for us, among SMBs, dev-ops is the primary focus,” he said. “They use Sumo to accelerate the dev/ops process, and are constantly collecting data from apps these rely on.”
Krishnaraj said that expanding their platform to encompass structured metrics data will create a significant extension of Sumo’s real-time continuous intelligent capability, which will expand their use cases to additional environments which leverage machine learning.
“There is no other company building this unified log and metrics data in a cloud-native fashion and providing real time analytics for our customers,” he said. “This combination now caters to advanced telemetry and business insight in addition to dev-ops, and for customers with massive amounts of data, will make correlating logs and metrics easy and comprehensive.”
The advance in the unified platform is its ability to handle the unique structure types of log and time-series metrics data natively, within the context of each data types’ unique form. This allows the creation of graphical interactive dashboards that make log and metric analytics viewable in real-time, either side-by-side, or contextually overlaid.
Sumo Logic has a broad channel go-to-market strategy, which Krishnaraj said will benefit significantly from the new platform.
“We have a direct sales force for the enterprise, and we partner with larger resellers and SIs to complement us in the enterprise,” he said. “In the midmarket and SMB, we partner with MSPs, who bundle us into their offerings. We also have technology partnerships with Amazon and Microsoft, which get us in their partner playbooks, particularly MSPs. As well, we are creating an ecosystem of ISPs like Chef, Docker and MongoDB – working on specializations with each one of these to offer as a service to developers.”
While each of these groups can leverage the expanded platform, Krishnaraj said that the MSPs serving the sub-1000 seat market should be able to significantly expand their business.
“MSPs so far have been able to provide a machine learning analytics platform based on logs, and we are the premier monitoring service for that,” he said. “Now they can provide a much broader Sumo-as-a-service with the metrics. This means more opportunities for them, and more opportunities for us to get into customers where we weren’t considered before.”
