Managing multi-tenant big data clusters is complex. Pepperdata partners with you to deliver the following for your big data investments:
Pepperdata delivers proven products, operational experience, and deep expertise.
PHILIPS WELLCENTIVE
“Before Pepperdata, we experimented with various approaches to solve our performance issues, but we couldn’t see deep enough into the cluster. Pepperdata Platform Spotlight shined a bright light into our Hadoop environment and provided the detailed data that helped us isolate and resolve the problem.”
RUBICON PROJECT
“At Rubicon Project, having the appropriate visibility and insight into our Big Data applications is extremely important when delivering detailed reports to our clients and meeting our SLA. We challenged Pepperdata to find a solution to profile our applications before going to production that would help us maintain our SLA to our customers as we introduce new applications. Pepperdata listened to us and quickly understood the problem we were trying to address.”
CHARTBOOST
“Chartboost is the world’s largest mobile games-only advertising platform, reaching one billion active players around the world every month. Chartboost utilizes Apache Spark on large Amazon EC2 Hadoop clusters for machine learning and ETL workflows. Understanding Spark application performance in these complex environments is always a challenge. As a current user of Pepperdata Platform Spotlight, it has been great to work with Pepperdata on the development of the Application Spotlight self-service portal software. It will give us a comprehensive insight into Spark jobs.”
EXPEDIA
“The level of support and expertise that we receive from the Pepperdata team made a big difference to us. Pepperdata worked closely with us on our Cluster Analyzer implementation to ensure success. With Pepperdata Capacity Optimizer, the DevOps team runs more jobs, faster. We’ve seen a big performance boost across the cluster and have a much more efficient data footprint. Using the Pepperdata dashboard to see application-level metrics, unique custom views, resource utilization per workload drill-downs, and hardware utilization by various workgroups has significantly improved the way that we manage and troubleshoot.”
See who’s using Pepperdata Big Data performance solutions to achieve Big Data success.
Evaluating and purchasing a big data performance solutions can be complicated. We’ve made it easy to make sure you don’t miss anything with our Pepperdata Product and Solutions Guide.
See firsthand how Pepperdata solutions bring APM to every phase of the big data DevOps cycle with solutions for monitoring, tuning, troubleshooting, and improving collaboration between teams.
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Extensive Enterprise Reporting Capabilities for Application Spotlight and Platform Spotlight and Expanded Professional Services Unveiled at Strata Data NYC
NEW YORK — September 11, 2018 (Strata Data New York 2018, Booth 741) — Pepperdata, the leader in Application Performance Management (APM) for big data success, announced 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.”
Proven Products
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:
Application Spotlight provides developers with:
Operational Experience and Deep Expertise
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 uniquely broad set of data empowers Pepperdata to help customers:
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About Pepperdata
Pepperdata is the leader in Application Performance Management solutions and services for big data success, solving application and platform issues throughout the stack for developers as well as capacity and infrastructure 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 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
samantha@pepperdata.com
Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.
Pepperdata Anticipates Doubling Team Within a Year to Support Increase in Seven-Figure Sales Deals
CUPERTINO, Calif. — September 4, 2018 — Pepperdata, the leader in Application Performance Management (APM) for big data success, announced the appointment of two executives reporting to CEO Ash Munshi. The appointments include Charles Marker as Vice President of Engineering and Dan Marx as Vice President of Sales. This announcement comes on the heels of the company’s latest funding, which Pepperdata will allocate to hiring and product development as it continues to deliver on feature requests from customers to support their mission-critical big data deployments.
Charles Marker joins Pepperdata as VP of Engineering from his previous position as Global Head of Engineering at Guidewire Software. Prior to Guidewire, Mr. Marker held Engineering VP positions at Kontagent, Yahoo, Qualcomm and Atheros. Dan Marx, who has been with Pepperdata since 2014, has been named VP of Sales. Mr. Marx brings deep expertise and experience in enterprise sales, including extensive success in big data technology sales at WANdisco and Zettaset.
“We are excited about the contagious enthusiasm and deep expertise Charles and Dan bring to Pepperdata,” said Mr. Munshi, Pepperdata CEO. “As we close more and more seven-figure deals, we are pleased to have the funding necessary to make appointments like these, and we will continue expanding to support the tremendous growth we’re experiencing. We anticipate more than doubling our team within a year.”
“Pepperdata is the leader in Application Performance Management for big data, delivering scalable solutions that enable Fortune 100 companies to achieve successful outcomes from their investments. We continue to be impressed with Pepperdata’s ability to facilitate adoption by these leading companies by identifying use cases that benefit from APM. We are pleased to work with them as they continue to execute their strategy,” said Jim McLean, Managing Director at Silicon Valley Data Capital.
“We were impressed to see the world’s biggest and best AI-driven companies already using Pepperdata so their Hadoop and Spark clusters perform at scale. Pepperdata helps ensure these global brands in e-commerce, voice applications and consumer banking optimize both the productivity and performance of their big data practices. Their continued team and company growth is exciting,” said Greg Sands, Managing Partner at Costanoa Ventures.
Since its founding in 2012, Pepperdata has established itself as a leader in APM for big data success, delivering proven products, operational experience, and deep expertise for its customers. Pepperdata is deployed at Fortune 100 companies in financial services, retail, healthcare, telecommunications and more, totaling more than 250 production clusters with 30,000 nodes spanning all big data distributions and hardware configurations. With the level of data the company collects — over 550 million jobs and 600 trillion data points annually — and its extensive global enterprise experience, Pepperdata is the wise choice for companies looking to get more value and optimal performance from their big data investments.
Pepperdata will be exhibiting at the Strata Data Conference at the Jacob Javits Center (booth 741) in New York City, September 12th and 13th.
Helpful Links
About Pepperdata
Pepperdata is the leader in Application Performance Management solutions and services for big data success, solving application and platform issues throughout the stack for developers as well as capacity and infrastructure 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 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
Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.
CUPERTINO, Calif. — March 1, 2018 — Pepperdata, the Big Data Performance company that provides developer and operator solutions to optimize application and cluster performance in Big Data environments, announces Application Spotlight. This self-service portal enables Big Data application developers to generate application-specific recommendations to improve application performance, highlight applications that need attention, automatically identify bottlenecks, and alert on duration, failure conditions, and resource usage.
Application Spotlight helps developers to search for all applications running on the cluster or just the specific applications that they are interested in, compare current and previous runs, and visualize Spark applications and its stages for easy root cause failure analysis and performance tuning.
“Application Spotlight provides relevant application information, insights, and calls to action, all in one place, so that developers can easily and quickly perform these tasks,” said Ash Munshi, CEO of Pepperdata. “In addition to helping developers make jobs go faster, Application Spotlight enables them to be better tenants in multi-tenant clusters by showing them how to write optimal jobs and more efficiently use their queue and cluster resources with practical, innovative application performance management solutions. Application Spotlight enables developers to quickly understand performance impacts and get recommendations on how to better optimize their jobs.”
Big Data Performance Solutions for Both Developers and Operators
The Pepperdata product suite provides solutions for monitoring, tuning, troubleshooting, applications and clusters along with automated cluster optimization. Pepperdata allows enterprises to:
Pepperdata products improve collaboration between development and operations teams by providing both an application as well as cluster view of performance. Pepperdata products, are used to monitor and manage mixed workloads from frameworks such as Spark, MapReduce, Kafka, Tez, Solr, and Impala.
See a Demo of Application Spotlight at Strata San Jose
Pepperdata is sponsoring, speaking, and exhibiting at Strata Strata Data Conference on March 6–8 at the San Jose Convention Center. Please visit Pepperdata Booth to discuss your requirements and see a demonstration of Pepperdata Application Spotlight. For information about our Strata schedule, go to www.pepperdata/events.
Helpful Links
About Pepperdata
Pepperdata is the big data performance company. Leading companies such as Comcast, Philips Wellcentive, and NBC Universal depend on Pepperdata to manage and improve the performance of Hadoop and Spark. Enterprise customers use Pepperdata products and services to troubleshoot performance problems in production, increase cluster utilization, and enforce policies to support multi-tenancy. Pepperdata products and services work with customer Big Data systems both on-premise and in the cloud.
Founded in 2012, Pepperdata has raised $20M from investors including Citi Ventures, Signia Venture Partners and Wing Venture Capital, and attracted senior engineering talent from Yahoo, Google, Microsoft and Netflix. Pepperdata is headquartered in Cupertino, California. For more information, visit pepperdata.com.
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Pepperdata and the Pepperdata logo are registered trademarks of Pepperdata, Inc. Other names may be trademarks of their respective owners.
Media Contact
Jim Dvorak
Offleash for Pepperdata
(415) 735-1622
pepperdata@offleashpr.com
As a capacity manager, you’re responsible for managing costs and growth as well as driving business by helping developers succeed with their applications. Both the applications and the platform must to be high-performing, and developers must understand the aspects of the platform that affect their applications. It’s one thing to get a platform up and running and allow users to run applications; it’s another thing to make truly effective decisions and changes.
Questions
Capacity managers are in a very unique position because they’ve got a responsibility to the business to ensure that users are satisfied and the business is benefiting from optimal performance and capacity. With your APM solution, you should be able to answer yes to the following questions:
Answers
To answer these questions and leverage your existing investment, you need an APM solution that:
A comprehensive APM solution collects all relevant data, metrics on both application workloads – user behaviors, errors, response times, API calls, etc.– and the environment–resource utilization, data sources, etc.–to obtain accurate and useful insights. By measuring and tracking user transactions, you can understand how applications behave and whether SLAs are being met. Environment measurements help you identify patterns in resource usage and capacity demands. The goal of measuring and analyzing these is to deliver an excellent user experience and get the most out of your infrastructure.
Pepperdata: Massive Scale APM
Pepperdata provides a complete view of your entire cluster so that you can uncover performance problems and identify patterns that impact the entire application environment and make intelligent resource decisions. Pepperdata continuously collects extensive data on hundreds of real-time metrics from all of your applications and infrastructure resources — metrics about CPU, RAM, disk I/O, and network usage for every job, task, user, host, workflow, and queue. This data is not available with any other tool or solution. Pepperdata helps you understand and improve platform performance, reduce mean time to problem resolution and increase capacity utilization by 30-50% without adding new hardware. In addition to surfacing performance bottlenecks, Pepperdata provides automatic tuning for recurring applications, delivers app-specific recommendations and allows you to set up alerts on specific behaviors and outcomes to avoid the risk of failure.
360° Platform View
You need a holistic source of operational and performance truth across your clusters. Pepperdata allows you to access real-time and historical data about the cluster, including system demand, abusive users, and wasteful applications, queues, and container sizes. Drill down or zoom out to analyze any application and understand its performance in the context of the entire multi-tenant cluster. With complete instrumentation of your Big Data ecosystem, Pepperdata allows you to monitor any process (Kafka, Impala, HBase, Hive, MapReduce, Tez, Spark, IBM BigSQL, LLAP) to help you quantify the impact that applications have on the cluster as well as the impact that the cluster has on applications.
Platform Tuning
Pepperdata tracks actual hardware resource usage of every node on the cluster in real time, helping to improve performance and efficiency of your cluster by maximizing existing resources, auto-scaling cluster resources for peak efficiency and rightsizing resource allocation based on real-time capacity. This allows more tasks to be run on nodes that have available free resources at the moment, increasing capacity without adding hardware.
Platform Recommendations
Pepperdata generates targeted recommendations to improve application performance, highlights applications that require attention, automatically identifies bottlenecks, raises issues around duration, failure conditions, and resource usage. In addition, Pepperdata helps you accurately forecast resource needs by identifying growth trends across groups and users.
Platform Alerting
Reduce time to problem resolution using comprehensive and detailed performance data. Leveraging its vast collection of real-time hardware metrics, Pepperdata allows you to create custom alerts and queries and filter and compare by different dimensions to quickly identify what resource or app is causing a problem and which user submitted it.
Insights through Reports
Pepperdata generates comprehensive planning reports containing trends and patterns based on real-time and historical data about the cluster so that you can plan capacity for predictable performance. Use these reports to accurately plan for growth, identify which users and applications are wasting resources, and attribute accurate costs to specific users and business units.
The Bottom Line
Pepperdata Platform Spotlight provides you with a single source of truth so that you can quickly diagnose performance issues anywhere in the environment and make resource decisions based on user priorities and needs. In addition to a comprehensive view of your big data platform, Pepperdata offers proven experience on hundreds of clusters at Fortune 1000 companies. As a trusted advisor helping enterprises establish and follow best practices, Pepperdata can provide you with guidance on the best architecture using real-world experience derived from some of the world’s biggest clusters. Tap into our experience and expertise to achieve more uptime, better performance, improved capacity planning, faster case resolution, and proactive issue avoidance and prevention.
Contact sales@pepperdata.com today and learn how we can help you.
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Schedule a demo to learn more about how Pepperdata can help you optimize application performance
When you start to consider Application Performance Management (APM) solutions, you have specific pain points or challenges that you need to overcome. Don’t forget about those initial challenges as you go through the steps of assessing solutions. Developers want their apps to work faster, but why? Capacity managers want to alleviate bottlenecks and optimize their existing infrastructure resources, but why? Let’s look at some of the real benefits to the business, factors that will help your management team understand the bottom line need for a big data APM solution — and ultimately agree to the spend.
This is the biggest, most obvious business benefit to any infrastructure monitoring solution, and one that every line of business leader understands. The availability and performance of critical applications — booking, ecommerce, service and communications platforms — can have significant impact on revenue. To meet SLAs, infrastructure managers need to mitigate outages that can result in lost revenue and customers. When evaluating APM solutions, make sure that you choose a solution that provides all the features you need to maintain expected levels of availability, ensure efficient troubleshooting, and accurately plan for growth.
It’s difficult to know if you’re satisfying end users or customers because they may never tell you — they just go away. External users (customers) give up and go to your competition, and internal users go around you, eliminating your control. An effective APM solution provides the deep visibility and performance insight you need to ensure productivity and satisfaction, keeping users happy so they don’t go away.
A highly performant infrastructure directly correlates to improved developer and IT staff productivity. An effective APM solution provides you with all the necessary data to make infrastructure changes that are necessary to help IT staff support more developers. Recommendations and alerts enable you to adjust configuration settings before these users are negatively impacted. Everyone is simply more productive when the infrastructure is finely tuned and running well.
The right APM solution enables you to continuously tune the infrastructure to meet business needs by minimizing the risk of poor performance and identifying inefficiencies that would otherwise increase costs. In addition to problem prevention, effective APM helps you more accurately plan for growth and avoid overspending.
When applications and the platform are running well, there are fewer fire drills which frees up time to spend on delivering new innovations that support business growth. Your APM solution should drive collaboration, which results in faster problem resolution and increased confidence in application and feature rollouts.
Managing multi-tenant big data clusters is complex. Pepperdata partners with you to deliver predictable performance, empowered users, managed costs and managed growth. Pepperdata continuously collects extensive data on over 350 real-time metrics from all of your applications and infrastructure resources — metrics about CPU, RAM, disk I/O, HDFS, and many others for every job, task, user, host, workflow, and queue. This breadth of data — not available with any other tool — empowers you to understand and improve application performance, reduce mean time to problem resolution and increase capacity utilization by 30-50% without adding new hardware. In addition to surfacing performance bottlenecks, Pepperdata also provides automatic tuning for recurring applications, delivers app-specific recommendations and allows users to set up alerts on specific behaviors and outcomes to avoid the risk of failure.
For more information on how Pepperdata can help you optimize application and platform performance, watch one of our technical webinars or schedule a demo.
Developers are faced with specific challenges to big data success, including poor performance, unpredictable runtimes, and bottlenecks. They need faster, more efficient applications to meet SLAs, but at times, they submit a query and have no insight into when it starts running — or whether it will finish successfully.
Developers look at different tools to try and understand what’s going on and why things are hung up, but even with all those tools, they don’t have an accurate picture. They have countless questions and have no way to get the answers, which we discussed in our webinar last week:
To answer these questions, you need self-service access to actionable insights and recommendations. Furthermore, you need tailored alerts and recommendations based on job types, job performance over time, and cluster-wide utilization trends. With most current tools, the metrics to feed these insights aren’t even available – not to you or your infrastructure manager.
That’s where Pepperdata comes in. We create a holistic view of your application performance across the cluster and provide automatic tuning as well as alerts and recommendations for optimal application performance. By that I don’t mean we’re just going to make your application run better this time — we make your application perform best all the time in your multitenant environment. That’s one of the big differences. In the Hadoop space, you can’t just be concerned with how things work this time: You need to tune performance continually within the parameters of the environment you’re dealing with.
Pepperdata Application Spotlight provides all of the tools developers need to optimize performance, including a 360° View, Application Tuning, Application Recommendations, Application Alerts and reporting.
360° View
Sometimes your application performance problems are your fault, and sometimes they’re a result of your multi-tenant environment. You need to be able to look at the last number of times — say 5 times — you ran the application, understand what’s going on in the environment and learn where and why extra time was spent in the queue, to determine whether it’s just you who’s experiencing the slowdown. Maybe others are experiencing similar bottlenecks and if so, your operator needs to know that.
Pepperdata Application Spotlight provides a 360° View of applications in one place — in the context of the entire multi-tenant cluster — giving you quick insight into why your application is running slow. It helps you target your performance tuning by helping you understand exactly what CPU and memory resources it requested, what it needs, what it used, and what it wasted. Pepperdata is the only APM solution that continuously collects metrics about every single application and infrastructure resource, which means you can diagnose application performance issues up to 90% faster and fine-tune each application.
For instance, you get much more insight on what happened than just knowing Spark used a certain amount of memory — you get details into specific jobs and stages, allowing you to drill down to get the why and when so you can make impactful changes. A lot can be going on with your application and understanding where a problem is requires time series data so you can do some fine-grained, effective tuning. We provide in-depth insight into that Spark application, unlike other solutions that just provide you with the top layer.
Pepperdata automatically tunes applications that are repetitive for either resource efficiency or runtime, improving performance and efficiency of applications as well as resource utilization. We help you understand and make efficient and cost effective utilization of your resources by helping you discover where there are inefficiencies or where there are resources that are being over allocated and even wasteful.
Application Recommendations
Pepperdata also provides job-specific Application Recommendations based on industry best practices and the in-depth knowledge of performance metrics we’ve already discussed. You get self-service recommendations for best queues and launch times — based on current workloads, data partitioning, serialization, container sizes and heap reservations.
Application Alerts
In addition to surfacing performance bottlenecks, Pepperdata improves application runtime predictability by allowing you to create and receive Application Alerts on important events and outcomes so you know when an application is at risk of failure. This alarm can be tailored to go to you or to certain development teams. Use our data to identify any resource bottleneck (CPU, memory, IO, etc.), pinpoint straggling tasks or poor parallelization, and alert on thresholds such as duration, amount of data processed or other milestone.
Reporting
Pepperdata provides you with a holistic picture of everything that’s going on – relevant real-time and historical information about the cluster, including system demand, users, and applications — in one cohesive capacity planning report. This allows you to understand and accurately size queues, gain insight into which applications are using what resources, and plan for future jobs by considering things that tend to go on in your particular environment.
Experts ready to help
We realize you face challenges.I’s not an overstatement to say we’ve probably seen every single issue you face. Our big data experts have been working on most of these problems for a very long time. We’ve seen a lot of systems, a lot of applications and a lot of tasks. So we have a very good understanding of what the average Hadoop environment looks like and what needs to be done to maximize application performance. Having worked with many large-cluster customers and having seen a myriad of challenges and problems, it’s more than likely we’ve seen environments and problems like yours, making us a perfect partner to help you achieve your goals.
Contact sales@pepperdata.com today and learn how we can help you.
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