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Case Study


How Tenacta Group uses Icinga

Tenacta Group is an Italian company with a portfolio of worldwide leading brands that share the same mission: to develop designs and technological innovations that will improve people’s quality of life. We have been using Icinga since its early days, specifically version 1 after the fork from Nagios. We have continued using Icinga because we like its direction for future improvements and appreciate the support of the Icinga community.

Why Seven.One Entertainment Group Chose Datadog RUM for Client-side Observability

Hear why Seven.One Entertainment Group, a subsidiary of ProSiebenSat.1 Media SE , which is Germany’s top commercial broadcaster, chose Datadog Real User Monitoring and how the solution enabled them to better understand client-side issues.

How Coveo Reduced User Latency and Mean Time to Resolution with Honeycomb Observability

When you’re just getting started with observability, a proof of concept (POC) can be exactly what you need to see the positive impact of this shift right away. Coveo, an intelligent search platform that uses AI to personalize customer interactions, used a successful POC to jumpstart its Honeycomb observability journey—which has grown to include 10,000+ machine learning models in production at any one time. Wondering how Coveo got there? So were we.


How Delivery Hero uses Kubecost and Datadog to manage Kubernetes costs in the cloud

As the world’s leading local delivery platform, Delivery Hero brings groceries and household goods to customers in more than 70 countries. Their technology stack comprises over 200 services across 20 Kubernetes clusters running on Amazon EKS. This cloud-based, containerized infrastructure enabled them to scale their operation to support increasing demand as the volume of orders placed on their platform doubled during the pandemic.


How 3 Companies Implemented Distributed Tracing for Better Insight into Their Systems

Distributed tracing enables you to monitor and observe requests as they flow through your distributed systems to understand whether these requests are behaving properly. You can compare tiny differences between multiple traces coming through your microservices-based applications every day to pinpoint areas that are affecting performance. As a result, debugging and troubleshooting are simpler and faster.


How Livecycle Makes Qovery Preview Environments 10x More Valuable

Hey there, We were thrilled to see Livecycle.io's recent article on "Why Qovery Preview Environments Are So Valuable to Development Teams"! We truly believe in the power of our preview environments, and we're excited to share this summary with you. So, if you're interested in learning more about what Livecycle.io is and how they can make our preview environments event better, keep reading.