NEW YORK–(BUSINESS WIRE)–Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced that ParkMobile, the leading provider of smart parking and mobility solutions in the U.S., has utilized Datadog for monitoring, APM, and logging during its migration from an on-premises environment to a cloud-based environment on Amazon Web Services.

“We’re glad that ParkMobile has realized these benefits throughout their migration process and look forward to helping more customers in the future.”

ParkMobile helps millions of people easily find and pay for parking on their mobile devices, with solutions to quickly pay for street and garage parking without having to use a meter or kiosk. Additionally, ParkMobile offers parking reservations for concerts, sporting events, airports, campuses, and more, in cities across the United States. Cities and parking operators rely on ParkMobile, and in turn, ParkMobile relies on its technology to power these critical services. When ParkMobile began the process of migrating their legacy on-prem infrastructure to AWS, their engineering team needed a new approach to monitoring, logging, and APM that could manage the transition at both scale and cost, and support cloud-native services and design patterns.

“In 2018, we made a strategic decision to fully migrate to AWS and sunset our data center. As we migrated our applications to containerized workloads on AWS, we quickly realized our legacy monitoring tools weren’t ready for this new Kubernetes and EKS based world,” said Matt Ball, Chief Technology Officer at ParkMobile. “The team tried a few different tools, including open-source, but the costs in both financial and human terms were too high. Our Site Reliability Engineers were turning into full-time open source engineers, which was a poor use of resources. Datadog is intuitive and cost-effective, and it has allowed us to index all our logs, see them alongside our metrics, and trace our applications with support for the languages we use. We adopted Datadog in February 2020 and we were fully out of the data center by June. Datadog really accelerated our migration.”

Once ParkMobile had migrated their infrastructure and applications, they needed to implement new monitoring and alerting frameworks to reflect the dynamic nature of their new cloud environment. Datadog provided true observability into these new microservice architectures and Kubernetes clusters, as well as powerful alerting tools and robust integrations, allowing ParkMobile to adopt and build with these new technologies with confidence.

“Datadog helped us utilize Site Reliability Engineering concepts, allowing us to implement meaningful SLIs and SLOs,” said Ball. “With easy integrations into Slack and Opsgenie, Datadog worked seamlessly with our paging, ITIL, and incident management process as well. It didn’t take too many people or too much time to implement Datadog. We now have ten times the observability as before at less than half the cost. It just worked.”

“For digital businesses migrating to cloud workloads, Datadog not only provides the necessary observability, but also saves time, money, and precious engineering resources,” said Alex Rosemblat, Chief Marketing Officer, Datadog. “We’re glad that ParkMobile has realized these benefits throughout their migration process and look forward to helping more customers in the future.”

ParkMobile relied on Datadog throughout its migration journey and continues to use Datadog for observability into metrics, traces, and logs.

About Datadog

Datadog is the monitoring and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security, and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications, and infrastructure, understand user behavior and track key business metrics.

Forward-Looking Statements

This press release may include certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks, and factors that are beyond our control, including those risks detailed under the caption “Risk Factors” and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on November 12, 2020, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Contacts

For Datadog
Martin Bergman
press@datadoghq.com