Under new channel leadership, OpsRamp has rolled out a series of updates to its partner program, including a more partner-friendly profit-sharing model, enhanced lead-sharing, and more comprehensive sales assistance, complete with sales and technical training, co-marketing and demand generation, and selling resources. OpsRamp also has committed to expanding its channel team with dedicated regional channel account executives and solution engineers for technical sales support.
Today I’m happy to share more about our partnership with Swimlane, which further reinforces our commitment to empowering security teams everywhere. Today’s security teams rely on the power of Elastic’s high-speed, cloud-scale analytics to solve their most complex and pressing security issues. Swimlane’s security automation platform provides a way for these same teams to accelerate and optimize their workflows for max efficiency and to solve SOAR use cases.
Alibaba Cloud is an important partner to us here at Elastic. We officially started our collaboration and strategic partnership with Alibaba Cloud back in 2017, when we announced the Alibaba Cloud Elasticsearch service. Since then, we’ve seen rapid adoption and growth of the service, which now supports more than 10 petabytes of data.
Our journey with Elastic began with a search for a single monitoring platform service for all kinds of applications and infrastructure across geographies and in the cloud. Like many other organizations who use Elastic, our story does not end there.
Today, we are pleased to announce a partnership with Confluent to jointly develop and deliver an enhanced product experience to the Kafka-Elasticsearch community. Kafka is — and has been since the very early days — an important component of the Elastic ecosystem.
As I’ve often talked about before, we have a “big tent” philosophy at Grafana Labs. We believe our users should determine their own observability strategy and choose their own tools; Grafana allows them to bring together and understand all their data, no matter where it lives. In practice, that means that we want to support data sources that our users are passionate about.
