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Pepperdata

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  • Seven Steps to a Successful AWS Cloud Migration
    Seven Steps to a Successful AWS Cloud Migration
    Ashrith Mekala, Head of Engineering at Cloudwick Recorded: May 22 2019 31 mins
    Cloud migration is more about processes than data. Even seemingly simple tasks like file distribution can require complex migration steps to ensure that the resulting cloud infrastructure matches the desired workflow. Most cloud benefits, from cost savings to scalability, are justifiable. But a proven methodology, a complete understanding of the risks, careful planning and flawless execution are necessary to realize those returns.

    Join presenter Ashrith Mekala, Head of Engineering at Cloudwick, as he shares his experience as a big data solutions architect who has successfully guided dozens of enterprises through the AWS cloud migration process. Attendees can apply these learnings to refine their own processes, avoid the risks, and optimize the benefits of current and planned cloud migrations.

    Topics include:

    – Migration models - forklift, hybrid, native
    – Framework - data migration, data validation and app integration
    – Methodology - including pre-migration state and cloud cost assessment using Pepperdata
    – GAP analysis and project planning
    – Moving from pilot to production
    – Key transition tasks and on-going support
  • Five Mistakes to Avoid When Using Spark
    Five Mistakes to Avoid When Using Spark
    Alex Pierce, Pepperdata Field Engineer Recorded: May 15 2019 32 mins
    Apache Spark is playing a critical role in the adoption and evolution of Big Data technologies because it provides sophisticated ways for enterprises to leverage Big Data compared to Hadoop. The increasing amounts of data being analyzed and processed through the framework is massive and continues to push the boundaries of the engine.

    Drawing on experiences across dozens of production deployments, Pepperdata Field Engineer Alexander Pierce explores issues observed in a cluster environment with Apache Spark and offers guidelines on how to avoid common mistakes. Attendees can use these observations to improve the usability and supportability of Spark and avoid such issues in their projects.

    Topics include:

    – Serialization
    – Partition sizes
    – Executor resource sizing
    – DAG management
    – Shading
  • Cloud Migration: Opportunities and Risks for the Business Unit
    Cloud Migration: Opportunities and Risks for the Business Unit
    John Armstrong, Head of Product Marketing Recorded: Apr 24 2019 31 mins
    The business case for cloud migration is compelling: cost reductions, ease of growth and
    expansion, outsourcing of infrastructure and maintenance, and improved access to the latest
    technologies. However, many organizations that are migrating to the cloud focus on technical factors and overlook the broader business implications of their projects. As a best practice, assessing the opportunities and risks for the organization should be a joint effort led by the IT and business unit teams. At the highest level, a business justification focuses on the return on investment (ROI) associated with a proposed technical change. However, many supporting data points are required to populate the formula and achieve a realistic calculation.

    In this webinar, we will address these and other critical questions:

    What are the key business expectations associated with a cloud migration?
    What are the implications if the cloud migration doesn’t go as planned?
    What business considerations should be included in any cloud migration plan?

    And always, this webinar will be followed by a short Q and A session with the audience. Please join us!
  • What is Pepperdata?
    What is Pepperdata?
    Pepperdata Recorded: Mar 25 2019 2 mins
    Pepperdata has engineered a big data APM solution that empowers operators to automatically optimize the performance and capacity of their big data infrastructure while enabling developers to improve the performance of their applications.

    Unlike other APM tools that merely summarize static data and make application performance recommendations in isolation, Pepperdata delivers complete system analytics on hundreds of real-time operational metrics continuously collected from applications as well as the infrastructure — including CPU, RAM, disk I/O, and network usage metrics on every job, task, user, host, workflow, and queue.

    The result is a comprehensive, intuitive dashboard that provides a holistic view of cluster resources, system alerts, and dynamic recommendations for more accurate and effective troubleshooting, capacity planning, reporting, and application performance management.

    Pepperdata diagnoses problems quickly, automatically alerts about critical conditions affecting system performance, and provides recommendations for rightsizing containers, queues and other resources. Leveraging AI-driven resource management, Pepperdata tunes and optimizes infrastructure resources to recapture wasted capacity and get the most out of the infrastructure.

    Welcome to the new world of real-time big data application and infrastructure performance management.

    Welcome to Pepperdata.

    Optimize your infrastructure, your applications, and your time — at scale.
  • Pepperdata Application Spotlight FREE
    Pepperdata Application Spotlight FREE
    Pepperdata Recorded: Mar 25 2019
    Use Application Spotlight for free on up to 20 Nodes
    Pepperdata Application Spotlight is a self-service APM solution that provides developers with a holistic and real-time view of their applications in the context of the entire big data cluster, allowing them to quickly identify and fix problems (failed Spark applications, for instance) to improve application runtime, predictability, performance and efficiency.
  • Successfully Migrating Big Data Workloads to the Cloud: What You Need to Know
    Successfully Migrating Big Data Workloads to the Cloud: What You Need to Know
    John Armstrong, Head of Product Marketing, Pepperdata Recorded: Mar 20 2019 28 mins
    Moving workloads to the cloud is either a reality or a near-term goal for an overwhelming number of enterprises. For most organizations, optimizing cloud use to improve operational efficiency and achieve cost savings is the primary objective. But navigating cloud adoption is a complex process that requires careful planning and analyses to achieve desired economic goals and ensure success. It’s a technology decision that has significant impact on the business.

    Economic benefits vs. costs must be accurately estimated and carefully weighed before making a move to cloud…not just for the cluster, but for every workload queue. This webinar will take the guesswork out of calculating cloud migration costs and provide you with the detailed analyses you need to make fully-informed technical and business decisions before embarking on your cloud migration journey.

    This webinar addresses critical questions for organizations considering or already deploying big data workloads in the cloud:

    - How accurate are my cloud migration and long-term deployment cost estimates?
    - What queues will be more cost-effective in the cloud, and which ones are better left on-premises?
    - What AWS, Azure, Google, or IBM cloud instances will work best for each of my queues? CPU-optimized? Memory-optimized? General purpose?
    - How can I help my team to make a successful transition to deploying workloads using the public cloud?
  • Breaking Through Big Data Bottlenecks
    Breaking Through Big Data Bottlenecks
    Kirk Lewis, Pepperdata Field Engineer Recorded: Mar 6 2019 28 mins
    Bottlenecks are a fact of life in IT. No matter how fast you build something, somebody will find a way to max it out. But bottlenecks can be crippling to organizations whose business operations depend on reliable and consistent service levels. Deploying an application performance management (APM) solution optimized to address big data challenges is essential for rapidly identifying and overcoming congestion within operational environment.

    In this webinar, we will:
    · Walk through a number of bottlenecks ranging from "easy to find" to "hard to find”
    · Discuss examples involving CPU, (easy) memory, network and I/O (hard)
    · Show you how you can quickly identify root cause and resolve big data bottlenecks
  • 8 ROI Benefits of APM
    8 ROI Benefits of APM
    John Armstrong, Head of Product Marketing, Pepperdata Recorded: Feb 20 2019 27 mins
    For most enterprises, APM is considered an essential element of IT operations, bridging production and development with IT and digital business. As companies invest in new technology and projects in their digital transformation journeys, it’s critical to understand the ROI value of those investments.

    This webinar will look at eight ROI benefits of APM — both financial and non-financial — that organizations need to consider when evaluating APM solutions. These include increased developer productivity, reducing downtime, improving business continuity and more.

    Attendees will learn:
    - 8 elements to consider when assessing APM solutions
    - How to evaluate financial and non-financial benefits to technology solutions
    - How leading organizations measure ROI, often through hard lessons learned
  • Ensuring Uptime for Healthcare
    Ensuring Uptime for Healthcare
    Dr. Charles Boicey, Clearsense Chief Innovation Officer Recorded: Feb 4 2019 2 mins
    “There is no tolerance for downtime in healthcare, which is why we bought Pepperdata. We started using Pepperdata on day one because Pepperdata instruments and monitors the resources as well as the applications running on the Clearsense Platform.

    "No else does that. We couldn’t do what we do without Pepperdata,”
    –Dr. Charles Boicey, Clearsense Chief Innovation Officer
  • 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

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