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    • 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 6:00 pm UTC 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.

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    • Using Webhooks to Access Big Performance Data in Real Time: OpsCast with Google
      Using Webhooks to Access Big Performance Data in Real Time: OpsCast with Google Matthew White, SRE Manager, Google; Robert Castley, Senior Performance Engineer, Catchpoint Recorded: Feb 12 2018 5:50 pm UTC 53 mins
    • As the size and scope of our digital systems grow, so does the amount of performance data that you must collect to ensure that those systems are operating at optimal levels. This is a particularly difficult challenge for enterprise companies that have a wide variety of digital properties under their control, as the sheer amount of data can be overwhelming. DevOps pros and SREs must be able to catalog, correlate, and analyze data in a matter of minutes during incident resolution; otherwise companies risk missing SLAs and having irate customers.

      To overcome this challenge, Catchpoint offers Test Data Webhooks, specifically designed to manage and review mass quantities of performance data in real time.

      In this latest installment of OpsCast Spotlight, Using Webhooks to Access Big Performance Data in Real Time, Google details how they have integrated Catchpoint Webhooks with their own cloud-based storage and visualization tools, and the positive business impact that they have seen as a result.

      Key Takeaways:

      Ways in which webhooks help users overcome the pool-based limits of APIs

      How has Google utilized Test Data Webhooks using data storage and visualization tools?

      Examples of performance problems that were detected through Catchpoint's real-time data

      Read more >
    • 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 6:00 pm UTC 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.

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    • Performance Consultancy Unplugged
      Performance Consultancy Unplugged Paul Matthews, Learning and Performance Consultant Recorded: Oct 5 2016 2:00 pm UTC 39 mins
    • Performance is down. We are not making the numbers. We are struggling to execute.

      What do we do? We have done more training, we have an engagement programme, we have performance related pay, we have reorganised and also developed a new strategy, so what do we do now?

      Sound familiar?

      Performance Consultancy Unplugged is a new way to approach underperformance by looking at performance as a system, and then using a simple model to uncover the levers and barriers within the system. With the levers and barriers exposed, you know where to apply your efforts to change the performance system so the outputs improve.

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    • Unchecking the Box: Performance Management Reloaded
      Unchecking the Box: Performance Management Reloaded Natasha Bowman, JD, SPHR President and Founder Performance ReNEW Recorded: Sep 29 2017 5:30 pm UTC 34 mins
    • Managers and employees agree that most performance management processes have become check-the-box exercises. Although both groups typically understand the value in having performance discussions on a regular basis, many people perceive the actual process to be ineffective. As a result, organizations are seeking innovative ways to improve performance management.

      Develop better managers, leaders, and team members
      Maximize the success of your organization by optimizing employee potential
      Developing lasting impact on your employees and your organization

      WHAT YOU’LL LEARN…

      How to make the business case for change through data
      How to involve employees in the goal-setting process to drive accountability
      How to transform your competency-based evaluation tools to performance- based
      How to eliminate scoring and ratings to differentiate and compensate talent
      How to determine the right frequency for performance conversations in your organization
      How to develop innovative compensation models absent ratings

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    • Total Performance Management (TPM) for Hadoop and Spark
      Total Performance Management (TPM) for Hadoop and Spark Alex Pierce Recorded: Apr 25 2018 6:00 pm UTC 23 mins
    • Pepperdata makes Hadoop+YARN based systems better by providing total performance management (TPM) for big data. Total performance management is the combination of application performance management (APM) and operations performance management (OPM) in a single package so developers and operators can rely on the same underlying information to build and operate highly performant big data applications in multi-tenant clusters.

      For developers, the Application Spotlight self-service APM portal surfaces applications that need attention from a performance perspective. For these applications, Application Spotlight provides precise recommendations to improve performance, automatically identifies bottlenecks and makes it easy to analyze root cause of errors and failures.

      For operators, the Cluster Analyzer OPM solution makes it easy to identify applications and users causing issues on the platform, proactively alert on those issues, and improve cluster performance. We also have roll up reports for things like chargeback and capacity planning. The Capacity Optimizer add-on module automatically increases cluster throughput 30-50% by addressing some of the inefficiencies of how YARN does resource management today.

      Join us for this webinar presented by Alex Pierce and learn how we can bring performance management to your applications and your cluster.

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    • Performance Engineering as a Competitive Differentiator
      Performance Engineering as a Competitive Differentiator Performance Engineering SIG Recorded: May 11 2016 3:00 pm UTC 66 mins
    • In today’s environment speed and quality are two of the biggest factors in delivering products and/or services to your end users. As a result, organizations and individuals have recognized the role that Performance Engineering practices delivers as a competitive differentiator.

      We will deliver a 1 hour vendor neutral webinar discussion, focusing on “Performance Engineering as a Competitive Differentiator.” The expert panel will collaboratively discuss how the capabilities of Performance Engineering have been recognized as a significant competitive differentiator across all: geographies, industries and markets.

      You will get tangible examples and stories that you can use to share and promote how Performance Engineering practices can be used within your organization and teams, so to drive competitive advantage in the market.

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    • Improving Performance in Constantly Changing Applications
      Improving Performance in Constantly Changing Applications Peter Waterhouse, Sr.Advisor, CA Technologies Recorded: Mar 8 2018 6:15 pm UTC 63 mins
    • Containers are engineered to support the need for continuous application changes. As self-contained artifacts, they accelerate the benefits of immutability, where full systems are disposable and can be quickly reconstructed – meaning no patching and configuration drift. But there’s no free-lunch and the ephemeral nature of containerized apps challenges teams to understand how a “now you see it, now you don’t” system impacts overall application performance.
      New techniques are required to manage containerized changes in context of the highly dynamic state in which they operate. View this on-demand webcast to learn:
      -How small changes in containers (in code, apps and architecture) can remain undetected, but cumulatively build to cause severe problems
      -The application of multi-dimensional analysis to track container changes across time to pinpoint the impact on performance
      -Methods to increase the supportability and resilience of containerized applications within and across the continuous delivery pipeline

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    • Creating a Culture of Quality
      Creating a Culture of Quality Mehdi Daoudi, CEO and Co-Founder of Catchpoint Recorded: Sep 14 2018 6:25 pm UTC 29 mins
    • Join Catchpoint CEO, Mehdi Daoudi, as he details key considerations backed with personal experience in creating an organizational culture where every team, at every level values a customer-first attitude across their digital service delivery.

      Key Takeaways:

      The equation for determining the quality of performance and how to measure each component

      How to translate the importance of the end user's digital experiences to other teams and stakeholders within an organization

      How to implement a shift in thinking and doing to inspire a culture of quality within the organization

      Read more >
    • Application Performance Management 101
      Application Performance Management 101 Logan Gatts, Engineer, AppDynamics and Slater Bridgman, Business Development, AppDynamics Recorded: Aug 30 2018 3:30 pm UTC 52 mins
    • If you’re new to the world of application performance management, this is the perfect introduction. Through a demonstration of the AppDynamics core product, you’ll discover how our sophisticated monitoring capabilities can help improve your bottom line.

      Register now and see how the solutions offered by AppDynamics can help further your digital transformation, by:

      - Achieving end-to-end business transaction visibility across web and mobile apps
      - Monitoring your end user experience across the globe through a single pane of glass
      - Getting application and operational analytics with custom dashboards for every audience
      - Instantly analyzing data by platform, device type, and even performance by region

      AppDynamics allows you to understand the connection between your app’s health, user satisfaction, and your business results. You’ll know if something’s wrong in real-time and be able to fix problems quickly, putting you at an advantage over the competition.

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    • Addressing Performance Testing Challenges in Agile : Process and Tools
      Addressing Performance Testing Challenges in Agile : Process and Tools Siddhartha Tungare, Lead Performance Engineer, Impetus Technologies Recorded: Jul 3 2013 5:00 pm UTC 46 mins
    • Application stakeholders, programmers and testers are now treating performance as a primary consideration at every stage of SDLC.

      With more and more organizations moving to Agile software development, performance testing needs to start as early as analysis and designing. Application performance depends on the system design and should be taken up during sprints for quality deliverables.

      To remain efficient in an Agile environment, you will need to change the way you are used to managing your performance testing.

      Join us for this webinar where we will present the approach, tools and solutions that can help in integrating performance testing with Sprints.

      The audience will get introduced to:
      •How to plan performance testing in agile projects?
      •How to automate end-to-end performance testing cycle?
      •How to identify bottlenecks during core development?

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    • Performance Engineering and YOUR End User
      Performance Engineering and YOUR End User Performance Engineering SIG Recorded: Jun 22 2016 5:00 pm UTC 76 mins
    • Think of yourself as you visit a new website or download a new app on your device. How will you react to a poor performing website or application? Will you quickly abandon and find a replacement? What happens when you cannot and it is your bank, healthcare or email?


      We've all been in a situation where we find ourselves impatient with technology's performance. Come join a panel of individuals whose day-to-day responsibilities are to prevent such end user issues. Remember if not for the end users, there would be no product or reason to care about performance.

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