In the digital age, businesses are facing new challenges in delivering features and capabilities faster to their customers while ensuring resilience and performance of their applications. That’s why many organizations are opting to modernize their legacy applications using cloud-native tools and platforms. Gartner predicts that by 2025, cloud-native platforms will be the foundation for 95% of new digital initiatives.
However, modernizing applications can also bring complexity that may stress teams and technologies and impact business success. Teams must have a clear understanding of the impact of changes and deployments on the infrastructure health, application performance, and end-user experience.
Enter Splunk Observability, a solution designed to mitigate this risk. With Splunk, teams can deploy applications faster and easily identify the biggest opportunities to optimize service performance and customer experience. Stripe, a leader in digital payments, uses Splunk to handle 250 million API requests a day, deploying new code 25 times a day. With Splunk, Stripe has reduced downtime to 13 seconds a month.
Similarly, Lenovo, a global computing device manufacturer, saw a remarkable improvement in their operational efficiency with Splunk. Teams can now respond to issues in less than 5 minutes, compared to 30 minutes before, and Lenovo has 100% uptime despite a 300% increase in traffic.
Splunk Observability is designed to help teams go from reacting to problems after they occur to proactively resolving issues before they impact customers. AI-directed troubleshooting saves engineers time from digging through data and dashboards to find the source of problems.
Observability is critical in modernizing applications and accelerating digital transformation. Splunk Observability is designed to help teams deliver better customer experiences, optimize service performance, and maximize the value of the cloud.
