Pepperdata Capacity Optimizer 6.3 Released
June 23, 2020
Share this

Pepperdata announced managed autoscaling in the cloud with Pepperdata Capacity Optimizer version 6.3.

While autoscaling provides the elasticity customers demand for their big data workloads, it can lead to runaway costs. Capacity Optimizer intelligently augments autoscaling to ensure all nodes are fully utilized before additional nodes are created, eliminating waste and reducing costs.

Cloud providers provision infrastructure based on the peak needs of workloads. This guarantees the maximums are met, but there’s a lot of waste inherent in the current method of provisioning. Capacity Optimizer makes thousands of decisions per second, analyzing the resource usage of each node in real time to optimize the utilization of CPU, memory and I/O resources on big data clusters. The net effect is that horizontal scaling is optimized and waste is eliminated.

Pepperdata provides automated deployment options for customers that can seamlessly be added to EMR, Dataproc and Qubole deployments.

In addition to automatically tuning your cloud deployment for optimal performance, Pepperdata helps:

- Reduce troubleshooting time by 90% by leveraging targeted performance insights

- Tune application resources for peak efficiency with prescriptive recommendations

- Automatically detect and alert on bottlenecks that impact SLAs

Even with the best cloud migration strategy and dedicated attempts to curb costs, the cloud makes managing resources more difficult,” says Ash Munshi, CEO Pepperdata. “But, by leveraging machine learning and managing infrastructure in real time, IT operations teams automatically recapture wasted capacity and significantly reduce their costs.”

Pepperdata Capacity Optimizer with managed autoscaling is available in July as a supported beta release for companies looking for early access, with free updates provided. The general availability release is due in September 2020.

Share this

The Latest

June 29, 2022

When it comes to AIOps predictions, there's no question of AI's value in predictive intelligence and faster problem resolution for IT teams. In fact, Gartner has reported that there is no future for IT Operations without AIOps. So, where is AIOps headed in five years? Here's what the vendors and thought leaders in the AIOps space had to share ...

June 27, 2022

A new study by OpsRamp on the state of the Managed Service Providers (MSP) market concludes that MSPs face a market of bountiful opportunities but must prepare for this growth by embracing complex technologies like hybrid cloud management, root cause analysis and automation ...

June 27, 2022

Hybrid work adoption and the accelerated pace of digital transformation are driving an increasing need for automation and site reliability engineering (SRE) practices, according to new research. In a new survey almost half of respondents (48.2%) said automation is a way to decrease Mean Time to Resolution/Repair (MTTR) and improve service management ...

June 23, 2022

Digital businesses don't invest in monitoring for monitoring's sake. They do it to make the business run better. Every dollar spent on observability — every hour your team spends using monitoring tools or responding to what they reveal — should tie back directly to business outcomes: conversions, revenues, brand equity. If they don't? You might be missing the forest for the trees ...

June 22, 2022

Every day, companies are missing customer experience (CX) "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue ...

June 21, 2022

Organizations are moving to microservices and cloud native architectures at an increasing pace. The primary incentive for these transformation projects is typically to increase the agility and velocity of software release and product innovation. These dynamic systems, however, are far more complex to manage and monitor, and they generate far higher data volumes ...

June 16, 2022

Global IT teams adapted to remote work in 2021, resolving employee tickets 23% faster than the year before as overall resolution time for IT tickets went down by 7 hours, according to the Freshservice Service Management Benchmark Report from Freshworks ...

June 15, 2022

Once upon a time data lived in the data center. Now data lives everywhere. All this signals the need for a new approach to data management, a next-gen solution ...

June 14, 2022

Findings from the 2022 State of Edge Messaging Report from Ably and Coleman Parkes Research show that most organizations (65%) that have built edge messaging capabilities in house have experienced an outage or significant downtime in the last 12-18 months. Most of the current in-house real-time messaging services aren't cutting it ...

June 13, 2022
Today's users want a complete digital experience when dealing with a software product or system. They are not content with the page load speeds or features alone but want the software to perform optimally in an omnichannel environment comprising multiple platforms, browsers, devices, and networks. This calls into question the role of load testing services to check whether the given software under testing can perform optimally when subjected to peak load ...