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Pepperdata

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  • Leveraging APM to Overcome Big Data Challenges
    Leveraging APM to Overcome Big Data Challenges
    John Armstrong, Head of Product Marketing, Pepperdata Recorded: Jan 16 2019 40 mins
    Leveraging APM to Overcome Big Data Development and Infrastructure Performance Challenges

    While businesses are deriving tremendous insights from ever-growing big data sets, development teams are challenged with increasingly resource-hungry workloads and overwhelming bottlenecks that impact productivity. This makes big data application performance management (APM) a must-have in today’s ecosystem. Join us to learn how APM can help enterprises overcome development and performance challenges associated with growing big data stores.
    Attendees will learn:
    - What is driving the demand for big data in application development
    - Challenges application developers face when working with increasingly larger workloads
    - How APM can mitigate these and other challenges, improve workflow productivity, and optimize resource effectiveness
  • Optimizing BI Workloads with Pepperdata
    Optimizing BI Workloads with Pepperdata
    Pepperdata Recorded: Dec 11 2018 36 mins
    BI workloads are an increasingly important part of your big data system and typically consist of large queries that analyze huge amounts of data. Because of this, BI users frequently complain about the responsiveness of their applications.

    Learn how Pepperdata enables you to tune your big data system and applications to meet SLAs for critical BI workloads.
  • Pepperdata Helps Clearsense Ensure 99.999% Uptime and Maximize Life-Saving Apps
    Pepperdata Helps Clearsense Ensure 99.999% Uptime and Maximize Life-Saving Apps
    Charles Boicey, Clearsense Chief Innovation Officer Recorded: Nov 14 2018 46 mins
    Clearsense is a healthcare technology company that helps its customers realize measurable value from data with real-time analytics. Clearsense collects patient information — from monitors, ventilators and other biomedical devices — and provides real-time views of patient conditions and changes for early detection and prevention. With no room for downtime, Clearsense relies on Pepperdata to help them ensure uptime and optimize application performance.

    Join Pepperdata and Clearsense Chief Innovation Officer Charles Boicey for this informative webinar.

    - Learn how Clearsense relies on Pepperdata to:
    - Ensure 99.999% uptime for life-saving applications
    - Enable clinicians to better monitor and alert on health issues and avoid catastrophic events
    - Provide customers with fast and reliable access to data and analytics
    - Run applications at maximum efficiency
    - Plan accurately for growth
    - And more

    We have no tolerance for downtime, which is why we use Pepperdata.”
    ~ Clearsense Chief Innovation Officer Charles Boicey
  • Operations Manager Q and A – Do More with Your Big Data Platform
    Operations Manager Q and A – Do More with Your Big Data Platform
    Alex Pierce, Field Engineer Recorded: Oct 24 2018 24 mins
    Organizations are faced with countless obstacles to achieving big data success, including platform, application and user issues, as well as limited resources. This webinar will answer operational management questions around optimizing performance and maximizing capacity, such as “Who’s blowing up our cluster?, “How can I run more applications?” and more. You will learn from our expert, based on real-world deployments, how a complete APM solution provides:

    – Reduced mean time to problem resolution.
    – An accurate understanding of the most expensive users.
    – Improved platform throughput, uptime, efficiency and performance.
    – Reduced backlog.
    – And more.

    Presenter

    Alex Pierce joined Pepperdata in 2014. Previously, he worked as a senior solution architect at WanDisco. Before that, he was the senior solution architect at Red Hat. Alex has a strong background in system administration and big data.
  • Capacity Manager Q and A – How to Improve Productivity, Throughput, and Uptime
    Capacity Manager Q and A – How to Improve Productivity, Throughput, and Uptime
    Kirk Lewis, Field Engineer Recorded: Oct 10 2018 34 mins
    There are numerous challenges to leveraging your big data infrastructure for optimal performance. This webinar answers operational management questions around optimizing performance and maximizing capacity, such as “Who’s blowing up our cluster?”, “How can I run more applications?” and more. You will learn from our expert, based on real-world deployments, how a complete APM solution delivers:

    – Improved throughput, uptime, efficiency and performance.
    – Accurate capacity planning.
    – Deploy capacity accurately for predictable performance.
    – Recapture wasted resources to maximize current infrastructure.

    Presenter

    Kirk joined Pepperdata in 2015. Previously, he was a Solutions Engineer at StackVelocity. Before that he was the lead technical architect for big data production platforms at American Express. Kirk has a strong background in big data.
  • Developer Q and A – Improve Your Application Performance and Efficiency
    Developer Q and A – Improve Your Application Performance and Efficiency
    Alex Pierce, Field Engineer Recorded: Sep 26 2018 21 mins
    Developers are faced with specific challenges to big data success, including poor performance, unpredictable runtimes, and bottlenecks. This webinar will focus on answering questions you need answers to, like “Why is my job running so slow? and “How do I guarantee SLAs of my app?” Our expert will answer these questions and more, with insight from real-world deployments. Learn how to achieve:

    – Improved application performance and efficiency.
    – Reduced troubleshooting time.
    – Improved resource utilization.
    – Insight on cluster events impacting applications.
    – And more.

    Presenter

    Alex joined Pepperdata in 2014. Previously, he worked as a senior solution architect at WanDisco. Before that, he was the senior solution architect at Red Hat. Alex has a strong background in system administration and big data.
  • Four Ways Operators Can Fix Slowdowns and Improve Big Data Cluster Performance
    Four Ways Operators Can Fix Slowdowns and Improve Big Data Cluster Performance
    Kirk Lewis Recorded: Aug 22 2018 28 mins
    Despite tremendous progress, there are critically important areas, including multi-tenancy, performance optimization, and workflow monitoring where the DevOps team still need management help.

    In this webinar, presenter and Pepperdata Field Engineer, Kirk Lewis discusses why big data clusters slow down, how to fix them, and how to keep them running at an optimal level. In this online webinar followed by a live Q and A, Field Engineer Kirk Lewis discusses:

    • How Pepperdata Cluster Analyzer helps operators overcome Hadoop and Spark performance limitations by monitoring all facets of cluster performance in real time, including CPU, RAM, disk I/O, and network usage by user, job, and task.

    • How Pepperdata Capacity Optimizer increases capacity utilization by 30-50% without adding new hardware

    • How Pepperdata adaptively and automatically tunes the cluster based on real-time resource utilization with performance improvement results that cannot be achieved through manual tuning.
  • How Operations Performance Management Informs APM to Help Big Data Developers
    How Operations Performance Management Informs APM to Help Big Data Developers
    Alex Pierce Recorded: Aug 8 2018 17 mins
    Continually tuning your applications isn’t the best APM scenario for big data developers. This webinar discusses how big data operations performance management (OPM) provides the necessary context for more robust APM. A routine element of running a big big data platform is hardware. The OPM resource usage metrics that provide operators with clarity when something is not a clear cut bottleneck in the realm of CPU, memory, IO performance, are also extremely useful to developers as well, and can provide them with notifications and alerts for hardware related issues like network errors on a specific network interface.

    This webinar discusses how big data total performance management (TPM) combines operations performance management (OPM) and applications performance management (APM).

    Pepperdata® Application Spotlight is a self-service APM portal that provides developers with a consolidated view to improve troubleshooting and optimize application performance. Application Spotlight enables big data application developers to quickly and easily improve performance with more relevant application information, performance recommendations, insights, and calls to action, all in one place. In addition to helping them make their jobs go faster, Application Spotlight enables developers to be better tenants in multi-tenant clusters and shows them how to write optimal performing jobs and more efficiently use their queue and cluster resources with practical, innovative application performance management solutions.
  • Application Performance Management (APM) for Big Data Apps and Infrastructure
    Application Performance Management (APM) for Big Data Apps and Infrastructure
    Kirk Lewis, Pepperdata Field Engineer Recorded: Jul 18 2018 37 mins
    Pepperdata Application Spotlight analyzes all Hadoop and Spark jobs running on the cluster and provides developers with technical insights on how each job performed. Intended for software engineers, developers, and technical leads who develop Spark applications, this webinar demonstrates how Application Spotlight helps developers quickly improve application performance, reduce resource usage, and understand application failures.

    Learn how developers can:

    – Maximize performance, improve productivity, guarantee reliability, and improve ROI
    – 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
    – Search for any applications running on the cluster, compare current and previous runs
    – Visualize Spark applications and its stages for easy root cause failure analysis and performance tuning

    Presenter Bio: Field Engineer, Kirk Lewis

    Kirk Lewis joined the Pepperdata team in 2015. Previously, he was a Solutions Engineer at StackVelocity. Before that he was the lead technical architect for big data production platforms at American Express. Kirk has a strong background in big data.
  • Diagnosing Application Failures and Errors
    Diagnosing Application Failures and Errors
    Kirk Lewis Recorded: May 16 2018 40 mins
    This webinar will present the results of analyzing many Hadoop and Spark jobs on many multi-tenant production clusters. We will cover common issues seen, the symptoms of those issues, and how to address them. We will discuss the Pepperdata APM solution and discuss best practices for diagnosing application failures and errors.

    Pepperdata has gathered trillions of performance data points on production clusters running Hadoop and Spark, covering a variety of industries, applications, and workload types. We will present key performance insights — best and worst practices, gotchas, and tuning recommendations — based on analyzing the behavior and performance of millions of applications.

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