Dr. Christopher Field is Co-Founder, President, and Principal Investigator at Theia Scientific. With formal education in analytical chemistry and instrumentation, Chris has expertise in scientific hardware and software design, deploying embedded Linux devices for Internet of Things (IoT) and sensor fusion applications, and developing computer vision and image processing pipelines for cell analysis.

Quik Pick Express, a California-based trucking company, provides a variety of services, including container drayage, warehousing services, container shipping, transloading, and much more. The company services seven locations in the state of California, with its IT infrastructure network being critical for its business. After a thorough evaluation, Quik Pick Express’ IT team chose OpManager, an all-inclusive network monitoring solution, to monitor its business-critical IT infrastructure network.

Let's start with the bottom line: When we upgraded to Elasticsearch 7.15 last year, our internal observability clusters saw a reduction in inter-node traffic from 464TB to 204.5TB per day. We monitored this reduction through subsequent upgrades and noticed its impact on our data transfer and storage costs. So here it is: upgrading saved Elastic $3,500 per day, or approximately $100,000 a month, or $1.2 million annually.

Hey Civo users, at Gimlet, we think that best practices in the Kubernetes ecosystem have solidified so much, that they can be packaged into tools, so that you don't have to make nuanced decisions every corner. This is what we have been doing with our CLI tools, and nowdays doing with the Gimlet Dashboard! We have been following Civo for over a year now and see how much the Gimlet team shares the Civo community's spirit.

The promise: Order any groceries and essentials from Blinkit’s mobile app, and they’ll be delivered to your doorstep within 10 minutes. The process: Very difficult with a legacy logging tool. For Blinkit, the instant delivery service formerly known as Grofers that serves millions of consumers across India, their tech stack was beginning to interfere with business operations at a time when the company was hyperscaling due to its popularity.

Housetable uses AI and Data Science to predict what customer’s homes will be worth after renovation, to support users in securing financing that takes into account the real value of their property. With its AI-powered renovation intelligence, customers can enjoy a 100% digital experience with quick application via mobile app, dynamic approvals, and integrated payments both from banks and directly to contractors.