105 Datadog Testimonials

“The security team scaled quickly by leveraging the data pipelines already built out by the SRE team, integrating security into existing workflows and receiving security alerts in real time.”

“Watchdog is giving us faster incident response. It’s showing us where the problems are in our system that we wouldn’t have otherwise seen. And it’s showing us where other impacts are throughout the system it’s allowing us to essentially deliver a better level of service to our customers.”

“The benefit that Datadog brings to our business, and would bring to anybody's business, is that you immediately understand if you are deploying assets the right way. Not only can you see if something's going wrong, you can see if the solutions that you are implementing are doing what you expected them to do.”

"One thing that I really liked about moving from essentially nothing to Datadog, was the fact that we now had individual engineers who started to show interest in our observability data. So they would look at the dashboards, they would figure out what metrics were missing, they would go into the code, they would add those metrics, and then they would make sure that it was visible in the dashboard.”

“The single most exciting part about Datadog is that we can have a single pane of glass, with everything that we need as far as serverless, logs, metrics, and third-party integrations, that all come together so we can quickly find out if there are any issues in our stack. It's phenomenal—I don't need to go into two or three different applications to see what's going on here or there, and try to correlate. Everything is in Datadog, right there.”

"Kong is the leading open source API management platform, and since Datadog is the leading cloud monitoring platform, partnering with Datadog and building an integration was important for our users. With Datadog, users can log API metrics like request count, request size, response status and latency to the local Datadog Agent, and can also use the Agent to collect Kong’s connection and database details. These capabilities have strengthened Kong's offerings, and we have been proud to partner with Datadog throughout this process."

“Our technology strategy boils down to how fast we can empower our engineers to focus on building high-quality, innovative productivity tools. By moving to Google Cloud Platform and using Datadog to improve application monitoring, we can quickly launch new services and features that will help us succeed in a changing market.”

“Evernote is where people capture and nurture ideas, and integration with Google Drive helps people cultivate and communicate those ideas with rich context."

“We used to have no way to look at things proactively, but we now have insights from Datadog across all our communication such as Slack, emails, and VictorOps.”

“Over the past few years, Braze has built a best-in-class customer engagement platform that is used by the world’s leading brands. As a company, we will continue scaling our platform and expanding our organization to support rapidly increasing market demand, which presents new and exciting challenges. Datadog has enabled us to rally around one platform that will help us scale over the near and long-term.”

“Datadog log management helps us see things that we didn’t even know were broken. It helps us identify issues, see how severe they are, how often they occur and then fix them effectively. These are crucial learnings for us from an observability standpoint because we are always striving to make our systems and our teams better.”

“Even if we scale 10x in 10 minutes, Datadog is able to handle it, and that’s immensely beneficial to us.”

“Datadog’s remediation includes blocking offensive IPs and fraudulent users at the edge, and with the help of Datadog Security Monitoring, we have been able to create more effective detection rules that automate the process and catch malicious activity.”

“Some of the monitoring tools we were using were even part of the same company, but it still felt like they were entirely separate products, because nothing was unified.”

“We were getting less than 60% coverage with our previous monitoring stack. Migrating to Datadog was a lightbulb moment for us, because we realized that we'd finally be able to get 100% coverage of our environment.”