Wavefront is a metric-driven monitoring and analytics platform. DevOps and developers teams at enterprises that run cloud-native apps such as Box, Lyft, Intuit, and Workday use Wavefront to monitor the performance of cloud applications that reach amazing scale. The Wavefront platform collects and analyzes metrics from distributed applications running on VMware Cloud on AWS, AWS containers, microservices, cloud infrastructure, and even business data. Once metric data is in a Wavefront time-series database, Wavefront customers can apply powerful and flexible analytics in the form of the Wavefront Query Language. Developer teams use this to monitor the performance of their cloud services and distributed applications at unprecedented scale. They can troubleshoot faster and proactively alert and detect the leading indicators of anomalies with instant access, and unified visibility drives accelerate code releases by enabling the same visibility across all cloud services, infrastructures, and tools. Developer teams get instant visibility across all cloud services. Wavefront spreads across hundreds of engineers, enabling a self-service approach and empowering teams to innovate because Wavefront provides visibility in digital environments (digital service is the business). Business decisions are aligned with application code delivery, which helps everyone move faster with unified visibility.

Wavefront offers many ways to ingest data. We can retrieve data from AWS (APIs, CloudWatch, and CloudTrail) directly and can create metrics from logs.

Wavefront's key differentiators from DevOps and developer teams are as follows:

• Wavefront allows you to apply advanced metrics and query-driven analytics. There are over 100 mathematical transformations available for you to work with metrics data. We can troubleshoot issues faster using analytics. Wavefront, as a SaaS analytics platform, offers massive scale and high availability.
• It offers customizable dashboards that help DevOps teams take ownership of code in production. Dashboards can be shared and exported with one click.
• Intelligent alerting and proactive monitoring help detect leading indicators (quickly) or quickly zero-in on an anomaly where we can isolate problems by their desired shape or time, or by any condition we define.

Once Wavefront enters an organization, its adoption spreads across hundreds of developers, enabling a self-service approach and empowering them to innovate in a collaborative fashion. Synchronized business decisions aligned with code releases helps SaaS businesses move faster. Because Wavefront is typically adopted at leading SaaS enterprises, and since their cloud service is their lifeline, it helps business leaders make analytics-driven business decisions. These decisions are synchronized with cloud services code delivery, helping everyone move faster.

Wavefront integrations allow you to collect, analyze, and harness data from any data source, and tier important things to remember. Wavefront integrations help to accelerate this process with full RESTful APIs and user interfaces. Data from individual tools can be correlated with other tiers. Wavefront is unique at a very high scale with these features. Powerful correlations across tiers help us win across point tools and metrics platforms. The Wavefront platform offers RESTful APIs for extensibility. The Wavefront API integrates with any tool of choice for developers or DevOps tooling, and makes integration easy. For example, Lyft wanted to keep their Grafana dashboards and use Wavefront as the most scalable backend time-series database.