WEBINAR: BIG DATA OBSERVABILITY – WHAT IS IT AND HOW DO I GET IT? REGISTER
Big Data Performance Observability
You Need Observability, Not Just Monitoring
Observability instruments systems and applications, collects metrics and logs, and enables an understanding of system behavior. Observability goes beyond traditional monitoring approaches to explain system behavior over time and provide accurate operational insights. And, in alignment with the new direction of DevOps, observability examines the sequence of a problem through monitoring, correlating the system data, and automating with ML. Observability provides DevOps with end-to-end system visibility to quickly respond, fix, and prevent problems. Observability helps organizations to:
Speed up response to resolving slowdowns and bottlenecks
Understand and improve the user experience
Improve DevOps agility and efficiency
Monitoring and Observability. You Need Both.
Observability and monitoring are complementary solutions, meaning one does not replace the other. Effective monitoring almost always includes observability.
Monitoring collects metrics and logs that provide information on whether the system is working, and it tells you when something went wrong. Put another way, monitoring is building your systems to collect data, with the goal of knowing when something goes wrong and starting your response quickly.
Observability instruments your systems with tools to gather actionable data that provides not only the when of an error or issue, but—more importantly—the why. Observability typically shortens the duration and reduces the impact of incidents.
End-to-End Visibility with Actionable Insights
While today’s world of accelerated cloud and microservices adoption has greatly advanced innovation and helped organizations reduce time to market, it has also increased operational complexity resulting in increasingly ephemeral environments with unpredictable behavior. Because of constant and dynamic change, siloed solutions that don’t work across platforms, and the scale of the environments, simply monitoring isn’t enough. By instrumenting systems and applications, and collecting metrics and logs that enable the understanding of system behavior, observability allows you to:
Create end-to-end system visibility.
Examine the sequence of a problem through monitoring, correlating system data, and automating with AI and ML.
Get accurate operational insights.
Explain system behavior over time.