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Latest Customer Stories

From Static to Ephemeral Environments: How Flat Significantly Increase Development Velocity with Qovery

Learn how Qovery helped Flat Mx, a proptech company in Mexico, speed their release cycle and scale their infrastructure efficiently. Initially launched three years ago, Flat Mx combines technology with real estate data and expertise to optimize the property valuation process and automate it. The engineering team at Flat Mx was facing challenges with their monolithic application and needed a more efficient solution for their cloud needs.

Observability for business decision making: bridging the gap between IT and the business

Hear from Corneile Britz, Observability and DevOps Specialist and Co-Founder of Boxfish how Observability can provide real-time data to support business decision-making and improve customer experience, enabling collaboration and trust between IT and business stakeholders.

El Salvador government healthcare institution saves up to $400,000 by using OpManager

Instituto Salvadoreño del Seguro Social (ISSS) is an El Salvadorian government institution that provides health care services to the people of El Salvador. The institution offers insurance, medical treatment, prescription home delivery, and other health-related services. There are about 114 branches throughout El Salvador.

Intercom: Building a More Resilient Ecosystem Through Observability

Learn how Intercom implemented Honeycomb’s distributed traces to learn about production. Kesha Mykhailov, Product Engineer at Intercom joins Honeycomb Developer Advocate Jessica Kerr, and Account Executive Michael Wilde to discuss how Intercom uses distributed traces to streamline their observability workflows, allowing their product engineers to learn about and from their production to increase Intercom’s resilience. Topics include.

Monitoring EKS With Zenoss Service Impact

Udaybhasker Challa, Monitoring Engineer at Guardian Life Insurance reviews how Guardian's Kubernetes/EKS environments are being monitored by Zenoss. This will include discussion on pods, containers and autoscaling node alerts, and will show the relationship of cluster components through Zenoss Service Impact.