Traditional monitoring examines signals in relative isolation to check for known issues.
Observability enables DevOps and SRE teams to explain the unpredictable behavior of modern systems and resolve issues faster for better customer experience.
Why Observability
SignalFx CTO, Arijit Mukherji, discusses why Observability is essential for successfully operating modern complex systems.
Demystifying Observability
Watch our industry expert, Cory Watson, discuss what Observability is and how it helps explain unexpected behavior.
Monitoring vs. Observability
Hear from Nancy Gohring, Sr. Analyst at 451 Research, on the difference between monitoring and Observability.
Read "IT Ops Evolution" Report Observability Maturity Assessment
Namely Improves Engineering Productivity
Namely accelerates product development, develops more advanced features, and delivers great experiences with Observability from SignalFx.
Observability is Foundational to Becoming Cloud-Native
As you progress on your cloud-native journey, traditional monitoring falls short. Distributed microservices with complex dependencies, ephemeral infrastructure, and more frequent code pushes result in more complex monitoring challenges.
Only by establishing a culture of Observability and leveraging a modern Observability platform will you progress on your cloud-native journey and achieve the velocity needed for business success.
What Observability Can Do for You
Better Customer Experience
Catch problems before they impact customers with improved MTTR
Learn More
More Predictable Operations
Alert in seconds for faster MTTD and incident response
Learn More
Greater Resource Efficiency
Improve visibility and correlate system and business health metrics
Learn More
Higher Developer Productivity
Improve engineering agility and effectiveness to release code faster
Learn More
The New Criteria for Observability
New problems require new solutions. Traditional monitoring solutions can’t address the new operational challenges that come with modern technologies – containers, Kubernetes, functions, and microservices – and DevOps processes. Observability Platforms must meet the following new criteria.
Open and Flexible Data Collection
Open source lightweight agents and open standards-based instrumentation
Real-Time Visualization and Analytics
Instant discovery of services and data science-based analytics
Intelligent Problem Detection
Low-latency, intelligent alerts and customizable detection algorithms
Automation & Troubleshooting
Pinpoint and resolve complex failures, outliers, and long-tail issues across 100s of services
Built for Enterprise DevOps
Programmable (monitoring as code) with support for permission and quota management
