Hi [[ session.user.profile.firstName ]]

Intelligent Cloud Migration with Unravel Data

Unravel lead developer Alejandro Fernandez demonstrates the intelligent cloud migration features of the Unravel platform.
Recorded May 6 2019 15 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Alejandro Fernandez, Lead Developer, Unravel Data
Presentation preview: Intelligent Cloud Migration with Unravel Data

Network with like-minded attendees

  • [[ session.user.profile.displayName ]]
    Add a photo
    • [[ session.user.profile.displayName ]]
    • [[ session.user.profile.jobTitle ]]
    • [[ session.user.profile.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(session.user.profile) ]]
  • [[ card.displayName ]]
    • [[ card.displayName ]]
    • [[ card.jobTitle ]]
    • [[ card.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(card) ]]
  • Channel
  • Channel profile
  • Moving Big Data Pipelines to the Cloud: Plan, Migrate, Validate & Manage Jun 25 2019 9:00 am UTC 60 mins
    Aengus Rooney, Head of Solution Engineering - International, Unravel Data
    Moving Big Data Pipelines to the Cloud: Plan, Migrate, Validate & Manage
  • Automation of Root Cause Analysis for Big Data Stack Applications Jun 19 2019 1:00 pm UTC 36 mins
    Alkis Simitsis, Chief Scientist, Unravel Data; Shivnath Babu, CTO, Unravel Data
    Alkis Simitsis and Shivnath Babu share an automated technique for root cause analysis (RCA) for big data stack applications using deep learning techniques, using Spark and Impala. The concepts they discuss apply generally to the big data stack.
  • How to Optimize and Tune your Spark Data Pipelines Jun 19 2019 9:00 am UTC 60 mins
    Aengus Rooney, Head of Solution Engineering - International, Unravel Data
    The first step to understanding and maintaining optimal application performance is to create a holistic, end-to-end perspective on your Spark data pipelines and platform integrations. With modern data pipelines composed of numerous processing stages, data engineers and data scientists can lose time focusing on part of the ecosystem as they do not have access to the end to end flow. Developing an end-to-end view requires collecting and correlating application metadata and identify poor performance failures at the application and operational level.

    Join Unravel expert Aengus Rooney to develop an understanding of the performance dynamics of modern data pipelines and applications. In this session, you will learn about uncovering and understanding the key datasets, metrics, and best practices needed to develop mastery with Spark performance management.
  • Putting AI to Work on Apache Spark Recorded: Jun 13 2019 40 mins
    Shivnath Babu, CTO & Co-Founder at Unravel Data
    Apache Spark simplifies AI, but why not use AI to simplify Spark performance and operations management? An AI-driven approach can drastically reduce the time Spark application developers and operations teams spend troubleshooting problems.

    This talk will discuss algorithms that run real-time streaming pipelines as well as build ML models in batch to enable Spark users to automatically solve problems like: (i) fixing a failed Spark application, (ii) auto tuning SLA-bound Spark streaming pipelines, (iii) identifying the best broadcast joins and caching for SparkSQL queries and tables, (iv) picking cost-effective machine types and container sizes to run Spark workloads on the AWS, Azure, and Google cloud; and more.
  • Using Machine Learning to Understand Kafka Runtime Behavior Recorded: May 13 2019 40 mins
    Shivanath Babu, Unravel Data & Nate Snapp, Palo Alto Networks
    Apache Kafka is now nearly ubiquitous in modern data pipelines and use cases. While the Kafka development model is elegantly simple, operating Kafka clusters in production environments is a challenge. It’s hard to troubleshoot misbehaving Kafka clusters, especially when there are potentially hundreds or thousands of topics, producers and consumers and billions of messages.

    The root cause of why real-time applications is lag may be due to an application problem – like poor data partitioning or load imbalance – or due to a Kafka problem – like resource exhaustion or suboptimal configuration. Therefore getting the best performance, predictability, and reliability for Kafka-based applications can be difficult. In the end, the operation of your Kafka powered analytics pipelines could themselves benefit from machine learning (ML).
  • Unravel Chargeback demo Recorded: May 13 2019 5 mins
    Abha Jain, Director of Products, Unravel Data
    Unravel Director of Product Abha Jain provides a demo of Unravel chargeback reporting - by user, department, by queue, et al.
  • Intelligent Cloud Migration with Unravel Data Recorded: May 6 2019 15 mins
    Alejandro Fernandez, Lead Developer, Unravel Data
    Unravel lead developer Alejandro Fernandez demonstrates the intelligent cloud migration features of the Unravel platform.
  • Unravel's Data Insights features Recorded: May 6 2019 6 mins
    Abha Jain, Director of Products, Unravel Data
    Abha Jain, demonstrates Unravel's data insight features in this 5 minute video.
  • Unravel on Azure HDInsight (Demo) Recorded: Apr 28 2019 8 mins
    Unravel Data
    Join this demo to see how Unravel works on Azure HDI
  • Simplifying DataOps: Unravel demo with Kunal Agarwal and Henry Eckerson Recorded: Feb 14 2019 21 mins
    Kunal Agarwal, CEO, Unravel Data; Henry Eckerson, Analyst, Eckerson Group
    Unravel is all about making sure that your Big Data applications are fast and reliable, and your entire Big Data infrastructure and setup is cost-efficient and highly utilized as well. In production, we have about 100 million applications that we've currently analyzed across all of these different customers, from large banks, financial institutions, to healthcare companies, and high-tech companies. We support about 10,000 plus Big Data machines that we have under Unravel support today. And Unravel is backed by a number of top VC firms here in Silicon Valley: Microsoft Ventures, Menlo Park, as well as GGV Capital.
  • Applying AI to Automate Big Data Application Performance Tuning Recorded: Oct 1 2018 58 mins
    Bernd Harzog, Co-founder & CEO, APM Experts; Bala Venkatrao, VP of Products, Unravel Data.
    What's covered in this insightful interview is the historical taxonomy of the application performance management software (APM software) category and vendors. Just recently, Cloudera and Hortonworks announced a merger, so change continues in the APM part of the performance management market. Also this discussion covers the unique challenges of managing performance, throughput and reliability for big data applications, together with an overview of the latest improvements and a live demo of Unravel with sample case studies...where Unravel applies AI from millions of big data runs to anticipate and head off problems. The speakers are Bernd Harzog, (Co-founder and CEO at APM Experts), and also Bala Venkatrao, VP of Products at Unravel Data.
  • How to Build Fast & Reliable Big Data apps on Azure HDInsight Recorded: Sep 18 2018 50 mins
    Pranav Rastogi, Azure Big Data Program Manager, Microsoft; Shivnath Babu, Co-founder & CTO, Unravel Data.
    How to build fast and reliable big data apps on Azure HDInsight clusters, on premises or in the cloud, using Azure, Spark, Kafka, Hadoop, etc. with transparent performance management provided by Unravel. Features Pranav Rastogi, Azure Big Data program manager, and Shivnath Babu, Cofounder and CTO of Unravel Data.
  • How to Monitor and Optimize Big Data Pipelines and Workflows Recorded: Sep 2 2018 42 mins
    Kunal Agarwal, CEO, Unravel Data
    In this demo, Unravel co-founder and CEO Kunal Agarwal shows how our big data APM monitoring software help you manage applications in production. Unravel's AI and ML-based knowledge base incorporates millions of customer use cases, to support automated recommendations, and even allows you to establish rules to prioritize on mission-critical processes to help meet SLAs. With an intuitive cross-platform dashboard, our APM software lets you drill down to a stuck app or resource hog and determine exactly what (or who) is causing the problem. This level of end-to-end application optimization manages apps running on Azure, Spark, Hadoop, Kafka, Impala...a comprehensive, transparent view, not point tools and endless poring over logs.
Big Data Application Performance Management
Unravel provides full-stack visibility and AI-powered guidance to help you understand and optimize the performance of your data-driven applications.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Intelligent Cloud Migration with Unravel Data
  • Live at: May 6 2019 10:25 am
  • Presented by: Alejandro Fernandez, Lead Developer, Unravel Data
  • From:
Your email has been sent.
or close