Cloudwick Collaborates with Pepperdata to Ensure SLAs and Performance are Maintained for AWS Migration Service

Pepperdata Provides Pre- and Post-Migration Workload Analysis, Application Performance Assessment and SLA Validation for Cloudwick AWS Migration Customers

San Francisco — Strata Data Conference (Booth 926)  — March 27, 2019 — Pepperdata, the leader in big data Application Performance Management (APM), and Cloudwick, leading provider of digital business services and solutions to the Global 1000, today announced a collaborative offering for enterprises migrating their big data to Amazon Web Services (AWS). Pepperdata provides Cloudwick with a baseline of on-premises performance, maps workloads to optimal static and on-demand instances, diagnoses any issues that arise during migration and assesses performance after the move to ensure the same or better performance and SLAs.

“The biggest challenge for enterprises migrating big data to the cloud is ensuring SLAs are maintained without having to devote resources to entirely re-engineer applications,” said Ash Munshi, Pepperdata CEO. “Cloudwick and Pepperdata ensure workloads are migrated successfully by analyzing and establishing a metrics-based performance baseline.”

“Migrating to the cloud without looking at the performance data first is risky for organizations and if a migration is not done right, the complaints from lines of business are unavoidable,” said Mark Schreiber, General Manager for Cloudwick. “Without Pepperdata’s metrics and analysis before and after the migration, there is no way to prove performance levels are maintained in the cloud.”

For Cloudwick’s AWS Migration Services, Pepperdata is installed on customers’ existing, on-premises clusters — it takes under 30 minutes — and automatically collects over 350 real-time operational metrics from applications and infrastructure resources, including CPU, RAM, disk I/O, and network usage metrics on every job, task, user, host, workflow, and queue. These metrics are used to analyze performance and SLAs, accurately map workloads to appropriate AWS instances, and provide cost projections. Once the AWS migration is complete, the same operational metrics from the cloud are collected and analyzed to assess performance results and validate migration success.

To learn more, stop by the Pepperdata booth (926) at Strata Data Conference March 25-28 at Moscone West in San Francisco.

More Info

• For more information on the offering, email sales@cloudwick.com or sales@pepperdata.com.
• Learn about Pepperdata’s free Big Data Cloud Migration Cost Assessment.
• Start a free Big Data Cloud Migration Cost Assessment.
• Pepperdata website: https://pepperdata.com

About Pepperdata
Pepperdata (https://pepperdata.com) is the leader in big data Application Performance Management (APM) solutions and services, solving application and infrastructure issues throughout the stack for developers and operations managers. The company partners with its customers to provide proven products, operational experience, and deep expertise to deliver predictable performance, empowered users, managed costs and managed growth for their big data investments, both on-premise and in the cloud. Leading companies like Comcast, Philips Wellcentive and NBC Universal depend on Pepperdata to deliver big data success.

 Founded in 2012 and headquartered in Cupertino, California, Pepperdata has attracted executive and engineering talent from Yahoo, Google, Microsoft and Netflix. Pepperdata investors include Citi Ventures, Costanoa Ventures, Signia Venture Partners, Silicon Valley Data Capital and Wing Venture Capital, along with leading high-profile individual investors. For more information, visit www.pepperdata.com.

About Cloudwick

Cloudwick is the leading provider of digital business services and solutions to the Global 1000. Its solutions include data migration, business intelligence modernization, data science, cybersecurity, IoT and mobile application development and more, enabling data-driven enterprises to gain competitive advantage from big data, cloud computing and advanced analytics. Learn more at www.cloudwick.com.

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Contact:
Samantha Leggat
samantha@pepperdata.com

Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.

Pepperdata Announces Free Big Data Cloud Migration Cost Assessment to Automatically Select Optimal Instance Types and Provide Accurate Cost Projections

Pepperdata Eliminates Guesswork and Complexity Associated with Identifying Best Candidate Workloads Down to Queue, Job and User Level, for Moving to AWS, Azure, Google Cloud or IBM Cloud

CUPERTINO, Calif. — March 6, 2019 — Pepperdata, the leader in big data Application Performance Management (APM), today announced its new Big Data Cloud Migration Cost Assessment for enterprises looking to migrate their big data workloads to AWS, Azure, Google Cloud or IBM Cloud. By analyzing current workloads and service level agreements, the detailed, metrics-based Assessment enables enterprises to make informed decisions, helping minimize risk while ensuring SLAs are maintained after cloud migration.

The Pepperdata Big Data Cloud Migration Cost Assessment provides organizations with an accurate understanding of their network, compute and storage needs to run their big data applications in the hybrid cloud. Analyzing memory, CPU and IO every five seconds for every task, Pepperdata maps the on-premises workloads to optimal static and on-demand instances on AWS, Azure, Google Cloud, and IBM Cloud. Pepperdata also identifies how many of each instance type will be needed and calculates cloud CPU and memory costs to achieve the same performance and SLAs of the existing on-prem infrastructure.

“When enterprises consider a hybrid cloud strategy, they estimate the cost of moving entire clusters, but that’s not the best approach,” said Ash Munshi, Pepperdata CEO. “It’s far better to identify specific workloads that can be moved to take full advantage of the pricing and elasticity of the cloud. Pepperdata collects and analyzes detailed, granular resource metrics to accurately identify optimal workloads for cloud migration while maintaining SLAs.”

The Big Data Cloud Migration Cost Assessment enables enterprises to:

• Automatically analyze every workload in your cluster to accurately determine their projected cloud costs
• Get cost projections and instance recommendations for workloads, queues, jobs, and users
• Map big data workloads to various instance types including static and on-demand
• Compare AWS, Azure, Google Cloud, and IBM Cloud

Availability

Pepperdata Big Data Cloud Migration Cost Assessment is available free at pepperdata.com/free-big-data-cloud-migration-cost-assessment. Pepperdata customers should email support@pepperdata.com for their free assessment.

Learn more:

• About Pepperdata Big Data Cloud Migration Assessment: https://www.pepperdata.com/big-data-cloud-migration
• Download a sample: https://www.pepperdata.com/big-data-cloud-migration-cost-assessment-sample
• Start an Assessment: https://www.pepperdata.com/free-big-data-cloud-migration-cost-assessment

About Pepperdata
Pepperdata (https://www.pepperdata.com) is the leader in big data Application Performance Management (APM) solutions and services, solving application and infrastructure issues throughout the stack for developers and operations managers. The company partners with its customers to provide proven products, operational experience, and deep expertise to deliver predictable performance, empowered users, managed costs and managed growth for their big data investments, both on-premise and in the cloud. Leading companies like Comcast, Philips Wellcentive and NBC Universal depend on Pepperdata to deliver big data success.

 Founded in 2012 and headquartered in Cupertino, California, Pepperdata has attracted executive and engineering talent from Yahoo, Google, Microsoft and Netflix. Pepperdata investors include Citi Ventures, Costanoa Ventures, Signia Venture Partners, Silicon Valley Data Capital and Wing Venture Capital, along with leading high-profile individual investors. For more information, visit www.pepperdata.com.

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Contact:
Samantha Leggat

925-447-5300
samantha@pepperdata.com

Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.

Pepperdata Unveils 360° Reports, Enabling Enterprises to Make More Informed Operational Decisions to Maximize Capacity and Improve Application Performance

360° Reports Empower Executives to Better Understand Financial Impacts of Operational Decisions

CUPERTINO, Calif. — February 19, 2019 — Pepperdata, the leader in big data Application Performance Management (APM), today announced the availability of 360° Reports for Platform Spotlight. Pepperdata 360° Reports leverage the vast amount of proprietary data collected and correlated by Pepperdata to give executives capacity utilization insights so they better understand the financial impacts of operational decisions.

“Pepperdata 360° Reports demonstrate the power of data and the valuable insights Pepperdata provides, enabling enterprises to make more informed and effective operational decisions,” said Ash Munshi, Pepperdata CEO. “Operators get a better understanding of what and where they’re spending, where waste can be reclaimed, and where policy and resource adjustments can be made to save money, maximize capacity and improve application performance.”

360° Reports for Pepperdata Platform Spotlight include:

• Capacity Optimizer Report: This gives operators insight into memory and money saved by leveraging Pepperdata Capacity Optimizer to dynamically recapture wasted capacity.
• Application Waste Report: This report compares memory requested with actual memory utilization so operators can optimize resources by changing resource reservation parameters.
• Application Type Report: This gives operators insight on the technologies used across the cluster and the percentage of each (percentage of Spark jobs, etc.). This provides executives with insights into technology trends to make more data-driven investment decisions.
• Default Container Size Report: This report identifies jobs using default container size and where any waste occurred so operators can make default container size adjustments to save money.
• Pepperdata Usage Report: This presents Pepperdata dashboard usage data, highlighting top users, days used, and more to give operators insights to maximize their investment. With this data, operators can identify activities to grow the user base, such as promoting features, scheduling onboarding sessions, and training on custom alarms.

Availability

Pepperdata 360° Reports are available immediately for Pepperdata Platform Spotlight customers. For a free trial of Pepperdata, visit https://www.pepperdata.com/trial.

About Pepperdata
Pepperdata (https://pepperdata.com) is the leader in big data Application Performance Management (APM) solutions and services, solving application and infrastructure issues throughout the stack for developers and operations managers. The company partners with its customers to provide proven products, operational experience, and deep expertise to deliver predictable performance, empowered users, managed costs and managed growth for their big data investments, both on-premise and in the cloud. Leading companies like Comcast, Philips Wellcentive and NBC Universal depend on Pepperdata to deliver big data success.

 Founded in 2012 and headquartered in Cupertino, California, Pepperdata has attracted executive and engineering talent from Yahoo, Google, Microsoft and Netflix. Pepperdata investors include Citi Ventures, Costanoa Ventures, Signia Venture Partners, Silicon Valley Data Capital and Wing Venture Capital, along with leading high-profile individual investors. For more information, visit www.pepperdata.com.

###

Contact:
Samantha Leggat
samantha@pepperdata.com

Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.

Sample report attached.

Sample Capacity Optimizer Report – memory and money saved with Capacity Optimizer

Automatic Tuning Always Beats Manual Tuning

Everyone wants to optimize their big data applications so that their infrastructure operates more effectively. But in the quest to get large enterprise, multi-tenant systems running as efficiently as possible, there are really only two methods.

Pepperdata is dedicated to ending the burden of manual tuning. Get in touch today to find out how Pepperdata can automate the tuning of your system resources and offer true big data optimization. 

Right-Sizing Workloads for Success in the Cloud

Right-Sizing Workloads for Success in the Cloud

IT and Operations teams are being tasked with creating a strategy to ensure cloud success for their organization. They are often disappointed when, after migrating their workloads to the public cloud,  promised efficiencies and savings just don’t materialize. A report from Bain & Company, Rightsizing Your Way to the Cloud, includes results from an analysis of more than 60,000 workloads. Bain asked more than 350 IT decision-makers what aspects of their cloud deployment had been the most disappointing and under-delivered on their expectations. The top complaint was that the cost of ownership had not declined. In some cases, cost had increased. Why were expectations not being met? 

The report found that when companies don’t perform the necessary assessments and preparation, migrating workloads to the public cloud can be up to 15 percent more expensive than keeping them in a legacy, on-premises environment. In other words, despite the vaunted promise of the cloud, it can be more cost-effective to leave things unchanged.

The Problem? Existing Inefficiencies are Being Transferred to the Cloud

Bain’s analysis revealed that 84 percent of on-premises workloads are over-provisioned with more compute power, memory and storage than they need to efficiently operate. Over-provisioning typically happens with mission-critical workloads when IT operations buys more hardware than is required to ensure they have enough performance to satisfy peak periods of workload demand. This includes scaling out with more servers filled with hard drives to increase compute capacity and minimize latency. While hard drive costs are reasonable, a massive scale-out like this increases power, cooling, and management costs.

When organizations taking this approach migrate a workload to the cloud, they send excess computing and storage capacity right along with it.  Instead of becoming more efficient, they are essentially transferring their existing inefficiencies to a new location, using a method known as lift-and-shift. Bain found that stripping away excess resource capacity can lower cloud-migration costs by up to 60 percent while reducing the long-term costs of running workloads in the cloud. Other IT advisory experts concur. According to a recent cloud cost optimization study by Forrester Research, tackling wasteful cloud usage and exploding cloud spend is the important first step of cloud management.

The Solution? Right-sizing

Right-sizing a workload involves re-assessing the true amount of storage and compute power that it needs. To determine this, organizations can monitor workload demand over a period of time to determine the average and peak compute resource consumption. Organizations that anticipate migrating to the public cloud should take a disciplined approach to rightsizing their workloads that involves a thorough assessment of computing and storage practices across the enterprise. Bain’s experience shows right-sizing IT resources can cut operational and capital expense by as much as 30 to 60 percent.

Cloud Migration is a Long-term Process, Not an Event

Cloud migration is a long-term process which can extend for years for massive, scale-out Hadoop and Spark distributed computing environments.  Most organizations migrate a workload/application at a time. Not every workload belongs in the cloud, and organizations will want to evaluate which ones are suitable candidates.  Getting to the task of actually migrating a workload to the cloud takes time because of the multiple pre-migration steps involved. There will be many workloads still operating on-premises while the migration process is underway.  And workloads that are not good cloud candidates will remain on-premises for the foreseeable future.

Pepperdata customers are realizing the benefits of “right-sizing” cloud and on-premises infrastructure resources today, with Pepperdata Capacity Optimizer.  Capacity Optimizer takes a unique approach to right-sizing by identifying wasted, excess capacity in your big data cluster resources. By monitoring your cloud and on-premises infrastructure in real-time, including hardware and applications, and leveraging AI with active resource management, Pepperdata Capacity Optimizer automatically re-captures wasted capacity from existing resources and adds tasks to those servers.  Your net benefit is an increase in enterprise cluster throughput of 30 to 50 percent, or conversely, a 30 to 50 percent reduction in infrastructure resource requirements.

Whether in the cloud or on-premises, with Capacity Optimizer, you can:

• Automatically adjust resource utilization to match workload requirements
• Eliminate unnecessary spend on new hardware, CPU and memory
• Run more jobs concurrently on existing infrastructure
• Optimize infrastructure performance and ROI

Sign up for our upcoming webinar, Too Much of Anything? Right-Sizing Your Big Data in the Cloud to learn more on how to right-size for the cloud.

The Top Five Trends We Observed at Strata Data Conference 2019

The Pepperdata team had a fantastic time at this year’s Strata Data Conference in New York City. All of us are still buzzing from all the discussion of cutting-edge data strategies, techniques, and technologies. 

Here are the top five trends that kept coming up:

1. Big Data Applications are the Future

Everyone at Strata agreed: Big data applications are growing faster and have more impact on the business than ever before. For example, for financial services, the primary big data use case is business analytics that run on Hadoop. Data-driven analytics are key to the current and future competitiveness of financial services companies. By capturing and leveraging massive volumes of data, financial services companies are capitalizing on new data-driven business opportunities.

2. The Cloud Continues to Rise

According to Gartner, this year, the worldwide public cloud service market will reach nearly $222 billion, growing 16% over 2018. Our conversations at Strata confirmed this ongoing rise. Almost everyone we spoke to was either in the cloud, or were actively evaluating cloud options. Most customers said they were intending to maintain their on-premise clusters, but were looking to move many new workloads to the cloud. 

3. Hadoop Is Alive And Well

At Strata, we saw that companies are continuing to grow and expand their Hadoop implementations. There continues to be a strong push towards leveraging open-source standards and technologies, and moving away from proprietary, vendor-controlled technologies. Hadoop is much more than just Hadoop, with YARN, Spark, Kubernetes, and many more open-source technologies comprising its ecosystem. Far from being dead, Hadoop provides a modern data architecture for managing and analyzing data that customers continue to embrace as a foundational technology.  

4. Enterprises Are Struggling With Visibility 

Enterprise companies are struggling to gain visibility into their big data clusters, and struggling to know how they can better utilize their resources. Often, this can be a risk to a company’s overall data strategy. To optimize data operations across the full stack, you must be able to simultaneously manage everything: Hadoop, EMR, HD Insights, Spark, HDFS, S3, and more. On-prem, in the cloud or in hybrid environments. That’s a tall order but very possible today.

5. IT Operations is Seeking Next-Generation Capabilities to Predict and Manage Costs as it Matures Across the Enterprise

IT operations isn’t just tasked with understanding, explaining, and resolving problems in enterprise applications. The next wave of issues is already here: producing financially modeled cost projections and implementing chargeback methodologies which are needed to enhance savings and provide predictable spending across the IT landscape. IT complexity includes financial risk, which requires a more sophisticated approach to supporting multi-tenancy while centralizing IT, and maintaining accountability to the end users of IT services. IT operations is seeking solutions to these new challenges and the race is on to address this area of concern.

Attending the Strata Data Conference was a great experience. There was a variety of people representing many different companies and industries, all of them discussing the future of data in interesting ways. 

We’d love to hear your thoughts on the trends we’ve mentioned here. Did you notice any trends that we may have left out? Want to discuss more about one of the ones mentioned above? Use the hashtag #StrataTrends and tweet us @pepperdata to share your thoughts.