As big data stacks increase in scope and complexity, most data-driven organizations understand that automation and observability are necessary for modern real-time big data performance management. Without automation and observability, engineers and developers cannot optimize or ensure application and infrastructure performance, or keep cost under control. Pepperdata helps some of the most successful companies in the world manage their big data performance in the cloud and in the data center. These customers choose and trust Pepperdata because of three key product differentiators: autonomous optimization, full-stack observability, and cost optimization.
Many DevOps teams still manually tune their applications. The scale—thousands of applications per day and a growth rate of dozens of nodes per year—is too large and fast for manual efforts. Pepperdata Capacity Optimizer provides autonomous optimization that enables you to:
Today’s world of accelerated cloud and microservices adoption has increased operational complexity, resulting in ephemeral environments with sometimes unpredictable behavior. Because of constant and dynamic workload changes, siloed solutions limit visibility and do not work across platforms. Today’s big data environments require observability to handle the complexity, volume, and speed to meet SLAs and business objectives.
Observability goes beyond traditional monitoring to explain system behavior over time and provide accurate operational insights. It also examines the sequence of a problem through monitoring, correlating the system data while providing automation based on machine learning (ML). Pepperdata Platform Spotlight and Application Spotlight provide big data observability, giving you actionable data about your applications and infrastructure. Understanding system behavior can transform your organization from being reactive to proactive to predictive. Observability helps organizations:
Optimizing operational costs is critical for your business. As data volumes increase so does complexity—as well as the costs of processing it. Whether you are running Apache Spark, Hive, Kubernetes, or Presto workloads on the cloud or on premises, Pepperdata can help your organization optimize operational costs. Pepperdata solutions help you:
Learn how one of our customers automated their spark tuning and cut costs.
Pepperdata products provide complete visibility and automation for your big data environment. Get the observability, automated tuning, recommendations, and alerting you need to efficiently and autonomously optimize big data environments at scale.