Technical Resources
Educational Resources
Connect with Us
Too many tools with domain-specific views into performance data create unnecessary expenses and challenges for DevOps teams
Finding the root cause of issues in distributed, custom web applications with multiple layers of interdependencies can be challenging
Number of alerts during a distributed application’s service interruption can make it difficult to find the alerts that matter
A single, integrated, full-stack observability offering built to span user experience, application, infrastructure, database, and network metrics, traces, and logs and provide a single interface into every layer of highly distributed cloud applications.
• Easy setup – Quick to install with auto-instrumentation, support for OpenTelemetry, open-source technologies, and third-party integrations
• Cloud-native – Multi-tenant observability built to scale effortlessly to provide insights into the health and performance of business services—regardless of how distributed they are.
• Unified views – Connect the dots between different data sources to enable easy collaboration across teams.
Spend less time identifying performance bottlenecks and tracking down the underlying cause of problems—so you accelerate release velocity and increase team productivity.
• Monitor proactively – Live code profiling enables teams to identify performance bottlenecks before code is deployed
• Contextualize issues – Built-in intelligence and data-driven actionable insights from across the environment help expedite problem identification and resolution
• Understand the impact – Service-level and trace-level root cause summaries and distributed tracing pinpoint the cause and the impacting services
Reduce alert fatigue, even during a major service interruption of highly distributed cloud applications. Use intelligent automation to eliminate time wasted filtering through noisy alerts and troubleshooting low-priority issues. Quickly focus on the alerts that matter to streamline issue identification and resolution.
• Eliminate the noise – AIOps- and ML-powered filters and entity groups help automatically prioritize and surface real problems
• Focus on what matters – Advanced analytics—along with meaningful visualizations and contextual insights—focus teams on business-impacting issues
• Fix smarter – Built-in intelligence is built to identify unknown unknowns, streamline issue identification, and reduce the mean time to recovery