Pepperdata APM Adds Enterprise-Grade Capabilities
September 13, 2018
Share this

Pepperdata added enterprise-grade features to its APM suite that include auto-tuning, enhanced recommendations, and management and operational reporting, powered by an easy-to-use self-service interface.

The company also announced professional services offerings that include best-practices, performance planning, capacity planning, and architecture design for big data success.

The company’s new professional services are directly enabled by the vast amount of metrics — 600 trillion data points every year — that Pepperdata collects from tens of thousands of nodes every few seconds. This data provides unique insight into all aspects of operationalizing big data applications. Pepperdata is unique in its ability to deliver not only enterprise-grade software, but also expertise, experience and knowledge that ensures big data success.

“Customers are demanding more than features and function from us — they’re asking us to become partners in making sure their big data investments yield business results,” said Ashfaq Munshi, Pepperdata CEO. “We are the only company offering expert services along with a solution delivering instantaneous time-series data that provides precise insight relevant to enterprise platforms and applications.”

The Pepperdata APM suite — comprised of Platform Spotlight and Application Spotlight — enables tight collaboration between developers and operators, improves overall efficiency and performance, and enables enterprises to do more with their existing big data investments.

Platform Spotlight provides infrastructure and capacity managers with:

- 360° Platform View: Pepperdata continuously collects exhaustive data in real time about clusters, hosts, queues, users, applications and all relevant resources, providing a single source of operational and performance truth across clusters. This breadth of real-time data, which no other tool or product collects and provides, enables enterprises to quickly diagnose performance issues up to 90% faster than without Pepperdata, while making real-time resource decisions based on user priorities and needs.

- Real-Time Platform Tuning: Pepperdata increases platform throughput up to 50% by leveraging AI-driven resource management to automatically tune cluster resource usage and recapture wasted capacity.

- Platform Recommendations: Pepperdata provides actionable reporting and recommendations to rightsize containers, queues and other resources so enterprises can achieve optimal application and cluster performance on multi-tenant systems.

- Platform Alerting: Pepperdata exposes data at sufficient granularity to avoid nuisance alarms and create tailored alerts that pinpoint the root causes of performance issues and operational inefficiencies.

- 360° Reports: With its vast amount of data that correlates configuration and tuning changes with changes in platform performance, Pepperdata reports allow executives to understand financial impacts of operational decisions across the platform.

Application Spotlight provides developers with:

- 360° Application View: Pepperdata provides developers with a holistic source of application performance data within the context of the cluster, and enables them to quickly diagnose issues, reduce troubleshooting time, and improve performance.

- Application Tuning: Pepperdata provides real-time data from applications and cluster resources, which informs developers’ decisions about application configuration and environment considerations for improving runtime performance. Additionally, Pepperdata automatically tunes applications on an ongoing basis to improve runtime or resource utilization.

- Application Recommendations: Pepperdata automatically delivers job-specific recommendations based on comparing the values of dozens of performance metrics and tuning parameters using industry heuristics, best practices and in-depth knowledge of those metrics and parameters.

- Application Alerting: In addition to surfacing performance bottlenecks, Pepperdata enables developers to create and receive alerts about events that degrade application performance so they know when an application is at risk of failure.

Pepperdata continuously monitors over 250 production clusters across its customer base — over 30,000 nodes across all Big Data distributions and hardware configurations — for a total 550 million jobs and 600 trillion data points every year. Coupled with its success serving Fortune 100 customers, this broad set of data empowers Pepperdata to help customers:

- Establish and follow best practices and effectively set and achieve strategic initiatives.

- Stay ahead of the competition by providing faster applications and more efficient resource usage.

- Stay ahead of capacity needs and squeeze the most out of existing capacity.

- Design a successful architecture using real-world experience derived from some of the world’s biggest clusters.

- Successfully support developers and operations managers by providing self-service access to data-rich, curated, self-service portals.

Share this

The Latest

September 25, 2020

Michael Olson on the AI+ITOPS Podcast: "I really see AIOps as being a core requirement for observability because it ... applies intelligence to your telemetry data and your incident data ... to potentially predict problems before they happen."

September 24, 2020

Enterprise ITOM and ITSM teams have been welcoming of AIOps, believing that it has the potential to deliver great value to them as their IT environments become more distributed, hybrid and complex. Not so with DevOps teams. It's safe to say they've kept AIOps at arm's length, because they don't think it's relevant nor useful for what they do. Instead, to manage the software code they develop and deploy, they've focused on observability ...

September 23, 2020

The post-pandemic environment has resulted in a major shift on where SREs will be located, with nearly 50% of SREs believing they will be working remotely post COVID-19, as compared to only 19% prior to the pandemic, according to the 2020 SRE Survey Report from Catchpoint and the DevOps Institute ...

September 22, 2020

All application traffic travels across the network. While application performance management tools can offer insight into how critical applications are functioning, they do not provide visibility into the broader network environment. In order to optimize application performance, you need a few key capabilities. Let's explore three steps that can help NetOps teams better support the critical applications upon which your business depends ...

September 21, 2020

In Episode 8, Michael Olson, Director of Product Marketing at New Relic, joins the AI+ITOPS Podcast to discuss how AIOps provides real benefits to IT teams ...

September 18, 2020

Will Cappelli on the AI+ITOPS Podcast: "I'll predict that in 5 years time, APM as we know it will have been completely mutated into an observability plus dynamic analytics capability."

September 17, 2020
One of the benefits of doing the EMA Radar Report: AIOps- A Guide for Investing in Innovation was getting data from all 17 vendors on critical areas ranging from deployment and adoption challenges, to cost and pricing, to architectural and functionality insights across everything from heuristics, to automation, and data assimilation ...
September 16, 2020

When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time ...

September 15, 2020

Despite the efforts in modernizing and building a robust infrastructure, IT teams routinely deal with the application, database, hardware, or software outages that can last from a few minutes to several days. These types of incidents can cause financial losses to businesses and damage its reputation ...

September 14, 2020

In Episode 7, Will Cappelli, Field CTO of Moogsoft and Former Gartner Research VP, joins the AI+ITOPS Podcast to discuss the future of APM, AIOps and Observability ...