Automated Big Data Infrastructure Optimization

Enterprise organizations rely on big data to improve their business processes, discover efficiencies, and accelerate decisions. However, building a big data infrastructure is one thing. Optimizing that infrastructure to be more efficient, reliable, and cost-effective is another.

A lot can go wrong. Outdated applications, malfunctioning equipment, lack of storage, and system bottlenecks prevent you from getting the most value from your data. Pepperdata performance solutions ensure you avoid the pitfalls. And even when things are working correctly, we help recapture wasted capacity so you can run more applications and get the most out of your investment—increasing throughput by as much as 50%.

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Unparalleled Observability

Pepperdata delivers a holistic view of all your applications, cluster resources, and more. This full-stack visibility allows users to perform fast and effective troubleshooting, debugging, and planning.

This visibility gives IT operations a comprehensive and correlated view into real-time metrics to understand the requirements of both the data infrastructure and applications, resulting in effective resource utilization and performance. This insight means quicker root-cause analysis and resolution.

Continuous application performance monitoring helps developers and managers to quickly identify and resolve issues. Organizations can be confident that their applications meet SLA requirements as resource usage is optimized and spend is tracked and documented for accountability.

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Realizing The Pepperdata Effect

A variety of Fortune 500 companies choose Pepperdata solutions to boost their big data capabilities and save money in the process.

  • A credit card company reduced their MTTR by 90%, equating to 5616 hours saved per year.
  • A global travel services company achieved $3.9M in hardware savings and reduced their footprint and management complexity with a 30% compute gain.
  • A telecom company saved $7.5 million annually on their cloud service, achieved a 94% reduction in MTTR, and cut their hardware spend in half.