Fortune 500 companies trust Pepperdata to maximize the power of their big data stacks, generate value by improving the performance of their business applications, and drive business growth by optimizing their cloud spend.
However, the simplicity of the tool often hides the complexity of managing your big data application performance. Week in, week out, we are inundated with questions about what Pepperdata does, and how the product can help companies.
Gathered here are the six most common questions we receive, together with some concise but complete answers.
1. What is Pepperdata? What does your product do, and how can it help me?
Pepperdata is a big data performance management suite that automatically optimizes system resources based on infrastructure metrics gathered and analyzed in real-time. The suite gives organizations a comprehensive picture of their big data stacks (both on-premises or in the cloud), processes, nodes, and jobs, resulting in a correlated understanding of their workloads and infrastructure. This provides enterprises with complete, superior visibility and insight into their big data stack, allowing them to manage performance and run more applications while keeping their big data and cloud costs at a minimum.
2. What is observability, and how does Pepperdata provide it?
Observability is the ability to automatically derive actionable insights from performance metrics, logs, and event data. Observability allows DevOps and IT teams to collect real-time data from different sources within their big data infrastructure. This data includes performance monitoring metrics and logs, and it helps teams build a complete, detailed view of their big data stacks and IT environments when an error or system issue occurs. More importantly, observability determines the “why” of an error or issue. With observability, incidents are drastically shortened, reducing their impact on the overall IT infrastructure.
With Pepperdata, IT teams and DevOps can achieve observability through continuous and automated monitoring and intelligent dynamic reliability analysis of logs, metrics, and traces. This leads to the optimal performance of big data stacks and IT infrastructures, whether on premises or in the cloud, as Pepperdata delivers the real-time visibility that is crucial for troubleshooting, debugging, planning, and automated optimization.
3. I already use Autoscaling from my cloud provider. What does Pepperdata offer that they don’t?
The problem with autoscaling using your vendor’s default cloud configurations is that resources may be overprovisioned, resulting in underutilized resources and a big waste of money. That’s where our managed autoscaling comes in.
The Pepperdata Managed Autoscaling feature addresses this problem, By utilizing artificial intelligence and machine learning, Pepperdata gathers information from all of your applications and analyzes the real-time resource usage metrics. The solution then finds the most optimal scaling configurations and implements them automatically. The result? Optimized utilization of memory, CPU, and I/O resources on big data clusters while reducing wasted resources<