Hadoop has quickly evolved into the system of choice for storing and processing Big Data, and is now widely used to support mission-critical applications that operate within a ‘data lake’ style infrastructures. A critical requirement of such applications is the need for continuous operation even in the event of various system failures. This requirement has driven adoption of multi-data center Hadoop architectures, a.k.a geo-distributed or global Hadoop. In this session we will provide a brief introduction to WANdisco, then dig into how our Non-Stop Hadoop solution addresses real world use cases, and also a show live demonstration of Non-Stop namenode operation across two WAN connected hadoop clusters.
Hadoop and WANdisco: The Future of Big DataWANdisco Plc
View the webinar recording here... http://youtu.be/O1pgMMyoJg0
Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare.
What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market.
New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013.
Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases.
When: Tuesday, December 11th at 10am PST (1pm EST).
Why: In this 30-minute webinar you’ll learn:
The staggering, cross-industry growth of Hadoop in the enterprise
How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise
How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data
View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware.
It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. The core of Apache Hadoop consists of a storage part (HDFS) and a processing part (MapReduce).
Hadoop and WANdisco: The Future of Big DataWANdisco Plc
View the webinar recording here... http://youtu.be/O1pgMMyoJg0
Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare.
What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market.
New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013.
Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases.
When: Tuesday, December 11th at 10am PST (1pm EST).
Why: In this 30-minute webinar you’ll learn:
The staggering, cross-industry growth of Hadoop in the enterprise
How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise
How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data
View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware.
It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. The core of Apache Hadoop consists of a storage part (HDFS) and a processing part (MapReduce).
Supporting Financial Services with a More Flexible Approach to Big DataWANdisco Plc
In this webinar, WANdisco and Hortonworks look at three examples of using 'Big Data' to get a more comprehensive view of customer behavior and activity in the banking and insurance industries. Then we'll pull out the common threads from these examples, and see how a flexible next-generation Hadoop architecture lets you get a step up on improving your business performance. Join us to learn:
- How to leverage data from across an entire global enterprise
- How to analyze a wide variety of structured and unstructured data to get quick, meaningful answers to critical questions
- What industry leaders have put in place
Introduction to GlusterFS Webinar - September 2011GlusterFS
Looking for a high performance, scale-out NAS file system? Or are you a new user of GlusterFS and want to learn more? This educational monthly webinar provides an introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two.
Big Data and Hadoop - History, Technical Deep Dive, and Industry TrendsEsther Kundin
An overview of the history of Big Data, followed by a deep dive into the Hadoop ecosystem. Detailed explanation of how HDFS, MapReduce, and HBase work, followed by a discussion of how to tune HBase performance. Finally, a look at industry trends, including challenges faced and being solved by Bloomberg for using Hadoop for financial data.
The slides are created for the "Hadoop User Group Vienna", a Meetup that gathers Hadoop users in Vienna on September 6, 2017. The content of the slides correspond to the first talk, which discussed the concepts, terminology and disaster recovery capabilities in the Hadoop ecosystem.
The current major release, Hadoop 2.0 offers several significant HDFS improvements including new append-pipeline, federation, wire compatibility, NameNode HA, Snapshots, and performance improvements. We describe how to take advantages of these new features and their benefits. We cover some architectural improvements in detail such as HA, Federation and Snapshots. The second half of the talk describes the current features that are under development for the next HDFS release. This includes much needed data management features such as backup and Disaster Recovery. We add support for different classes of storage devices such as SSDs and open interfaces such as NFS; together these extend HDFS as a more general storage system. Hadoop has recently been extended to run first-class on Windows which expands its enterprise reach and allows integration with the rich tool-set available on Windows. As with every release we will continue improvements to performance, diagnosability and manageability of HDFS. To conclude, we discuss the reliability, the state of HDFS adoption, and some of the misconceptions and myths about HDFS.
Hadoop Institutes : kelly technologies is the best Hadoop Training Institutes in Hyderabad. Providing Hadoop training by real time faculty in Hyderabad.
Supporting Financial Services with a More Flexible Approach to Big DataHortonworks
Financial services companies can reap tremendous benefits from 'Big Data' and they have moved quickly to deploy it. But these companies also place heavy demands on 'Big Data' infrastructure for flexibility, reliability and performance. In this webinar, Hortonworks joins WANDisco to look at three examples of using 'Big Data' to get a more comprehensive view of customer behavior and activity in the banking and insurance industries. Then we'll pull out the common threads from these examples, and see how a flexible next-generation Hadoop architecture lets you get a step up on improving your business performance. Join us to learn:
How to leverage data from across an entire global enterprise
How to analyze a wide variety of structured and unstructured data to get quick, meaningful answers to critical questions
What industry leaders have put in place
Hadoop is commonly used for processing large swaths of data in batch. While many of the necessary building blocks for data processing exist within the Hadoop ecosystem – HDFS, MapReduce, HBase, Hive, Pig, Oozie, and so on – it can be a challenge to assemble and operationalize them as a production ETL platform. This presentation covers one approach to data ingest, organization, format selection, process orchestration, and external system integration, based on collective experience acquired across many production Hadoop deployments.
Supporting Financial Services with a More Flexible Approach to Big DataWANdisco Plc
In this webinar, WANdisco and Hortonworks look at three examples of using 'Big Data' to get a more comprehensive view of customer behavior and activity in the banking and insurance industries. Then we'll pull out the common threads from these examples, and see how a flexible next-generation Hadoop architecture lets you get a step up on improving your business performance. Join us to learn:
- How to leverage data from across an entire global enterprise
- How to analyze a wide variety of structured and unstructured data to get quick, meaningful answers to critical questions
- What industry leaders have put in place
Introduction to GlusterFS Webinar - September 2011GlusterFS
Looking for a high performance, scale-out NAS file system? Or are you a new user of GlusterFS and want to learn more? This educational monthly webinar provides an introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two.
Big Data and Hadoop - History, Technical Deep Dive, and Industry TrendsEsther Kundin
An overview of the history of Big Data, followed by a deep dive into the Hadoop ecosystem. Detailed explanation of how HDFS, MapReduce, and HBase work, followed by a discussion of how to tune HBase performance. Finally, a look at industry trends, including challenges faced and being solved by Bloomberg for using Hadoop for financial data.
The slides are created for the "Hadoop User Group Vienna", a Meetup that gathers Hadoop users in Vienna on September 6, 2017. The content of the slides correspond to the first talk, which discussed the concepts, terminology and disaster recovery capabilities in the Hadoop ecosystem.
The current major release, Hadoop 2.0 offers several significant HDFS improvements including new append-pipeline, federation, wire compatibility, NameNode HA, Snapshots, and performance improvements. We describe how to take advantages of these new features and their benefits. We cover some architectural improvements in detail such as HA, Federation and Snapshots. The second half of the talk describes the current features that are under development for the next HDFS release. This includes much needed data management features such as backup and Disaster Recovery. We add support for different classes of storage devices such as SSDs and open interfaces such as NFS; together these extend HDFS as a more general storage system. Hadoop has recently been extended to run first-class on Windows which expands its enterprise reach and allows integration with the rich tool-set available on Windows. As with every release we will continue improvements to performance, diagnosability and manageability of HDFS. To conclude, we discuss the reliability, the state of HDFS adoption, and some of the misconceptions and myths about HDFS.
Hadoop Institutes : kelly technologies is the best Hadoop Training Institutes in Hyderabad. Providing Hadoop training by real time faculty in Hyderabad.
Supporting Financial Services with a More Flexible Approach to Big DataHortonworks
Financial services companies can reap tremendous benefits from 'Big Data' and they have moved quickly to deploy it. But these companies also place heavy demands on 'Big Data' infrastructure for flexibility, reliability and performance. In this webinar, Hortonworks joins WANDisco to look at three examples of using 'Big Data' to get a more comprehensive view of customer behavior and activity in the banking and insurance industries. Then we'll pull out the common threads from these examples, and see how a flexible next-generation Hadoop architecture lets you get a step up on improving your business performance. Join us to learn:
How to leverage data from across an entire global enterprise
How to analyze a wide variety of structured and unstructured data to get quick, meaningful answers to critical questions
What industry leaders have put in place
Hadoop is commonly used for processing large swaths of data in batch. While many of the necessary building blocks for data processing exist within the Hadoop ecosystem – HDFS, MapReduce, HBase, Hive, Pig, Oozie, and so on – it can be a challenge to assemble and operationalize them as a production ETL platform. This presentation covers one approach to data ingest, organization, format selection, process orchestration, and external system integration, based on collective experience acquired across many production Hadoop deployments.
In this webinar, we'll:
-Examine the key drivers and use cases for High Availability, performance and scalability for Apache Hadoop.
-Walk through an overview of reference architecture for a Non-Stop Hadoop implementation.
-Show how you can get started with Non-Stop Hadoop with the Hortonworks Data Platform.
AWS re:Invent 2016: Disaster Recovery and Business Continuity for Systemicall...Amazon Web Services
Modern financial services organizations rely heavily on technology and automated systems to run business-as-usual. However, if this technology were interrupted by natural disasters or other events, there could be a devastating impact on investors and market participants, and in turn your reputational brand. In this session, we provide a step-by-step disaster recovery solution employed by a major exchange. This solution leverages Amazon EC2 Container Service to provide Docker containers, Weave Net to support a multicast overlay network that enables high volume multicast feeds in a cloud environment, and AWS CloudFormation for the ability to easily create and manage AWS assets. The session also covers the importance of redundancy (not just operationally, but for SEC compliance reasons as well) and how financial services organizations can increase geographical diversification of their primary and disaster recovery data centers. We dive deep into each major component of the solution.
WHAT IS ANDROID? Android is a mobile operating system (OS) based on the Linux kernel and currently developed by Google. With a user interface based on direct manipulation, Android is designed primarily for touchscreen mobile devices such as smartphones and tablet computers, with specialized user interfaces for televisions (Android TV), cars (Android Auto), and wrist watches (Android Wear).
Android is a software stack for mobile devices that includes an operating system, middleware and key applications. Android is a software platform and operating system for mobile devices based on the Linux operating system and developed by Google and the Open Handset Alliance. It allows developers to write managed code in a Java-like language that utilizes Google-developed Java libraries, but does not support programs developed in native code.
The A to Z Guide to Business Continuity and Disaster RecoverySirius
Companies often face challenges during business continuity and disaster recovery (BC/DR) planning. One of the key challenges is to reach consensus to ensure everyone at the company is on the same page. Therefore, it is important for the business and IT to have a comprehensive discussion about its current capabilities, needs, procedures and expectations for BC/DR.
To help with these conversations, we have developed an alphabetical guide and identified 26 important terms. This list is not meant to be exhaustive, but rather a good starting point for this discussion.
You’ve successfully deployed Hadoop, but are you taking advantage of all of Hadoop’s features to operate a stable and effective cluster? In the first part of the talk, we will cover issues that have been seen over the last two years on hundreds of production clusters with detailed breakdown covering the number of occurrences, severity, and root cause. We will cover best practices and many new tools and features in Hadoop added over the last year to help system administrators monitor, diagnose and address such incidents.
The second part of our talk discusses new features for making daily operations easier. This includes features such as ACLs for simplified permission control, snapshots for data protection and more. We will also cover tuning configuration and features that improve cluster utilization, such as short-circuit reads and datanode caching.
The Hadoop Distributed File System is the foundational storage layer in typical Hadoop deployments. Performance and stability of HDFS are crucial to the correct functioning of applications at higher layers in the Hadoop stack. This session is a technical deep dive into recent enhancements committed to HDFS by the entire Apache contributor community. We describe real-world incidents that motivated these changes and how the enhancements prevent those problems from reoccurring. Attendees will leave this session with a deeper understanding of the implementation challenges in a distributed file system and identify helpful new metrics to monitor in their own clusters.
Big Data Meets HPC - Exploiting HPC Technologies for Accelerating Big Data Pr...inside-BigData.com
In this deck from the Stanford HPC Conference, DK Panda from Ohio State University presents: Big Data Meets HPC - Exploiting HPC Technologies for Accelerating Big Data Processing.
"This talk will provide an overview of challenges in accelerating Hadoop, Spark and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented. Enhanced designs for these components to exploit NVM-based in-memory technology and parallel file systems (such as Lustre) will also be presented. Benefits of these designs on various cluster configurations using the publicly available RDMA-enabled packages from the OSU HiBD project (http://hibd.cse.ohio-state.edu) will be shown."
Watch the video: https://youtu.be/iLTYkTandEA
Learn more: http://web.cse.ohio-state.edu/~panda.2/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Hadoop Administrator Online training course by (Knowledgebee Trainings) with mastering Hadoop Cluster: Planning & Deployment, Monitoring, Performance tuning, Security using Kerberos, HDFS High Availability using Quorum Journal Manager (QJM) and Oozie, Hcatalog/Hive Administration.
Contact : knowledgebee@beenovo.com
Apache Hadoop 3 is coming! As the next major milestone for hadoop and big data, it attracts everyone's attention as showcase several bleeding-edge technologies and significant features across all components of Apache Hadoop: Erasure Coding in HDFS, Docker container support, Apache Slider integration and Native service support, Application Timeline Service version 2, Hadoop library updates and client-side class path isolation, etc. In this talk, first we will update the status of Hadoop 3.0 releasing work in apache community and the feasible path through alpha, beta towards GA. Then we will go deep diving on each new feature, include: development progress and maturity status in Hadoop 3. Last but not the least, as a new major release, Hadoop 3.0 will contain some incompatible API or CLI changes which could be challengeable for downstream projects and existing Hadoop users for upgrade - we will go through these major changes and explore its impact to other projects and users.
Speaker: Sanjay Radia, Founder and Chief Architect, Hortonworks
New Ceph capabilities and Reference ArchitecturesKamesh Pemmaraju
Have you heard about Inktank Ceph and are interested to learn some tips and tricks for getting started quickly and efficiently with Ceph? Then this is the session for you!
In this two part session you learn details of:
• the very latest enhancements and capabilities delivered in Inktank Ceph Enterprise such as a new erasure coded storage back-end, support for tiering, and the introduction of user quotas.
• best practices, lessons learned and architecture considerations founded in real customer deployments of Dell and Inktank Ceph solutions that will help accelerate your Ceph deployment.
Software Defined Storage, Big Data and Ceph - What Is all the Fuss About?Red_Hat_Storage
Software Defined Storage, Big Data and Ceph - What Is all the Fuss About? By: Kamesh Pemmaraju,Neil Levine
Have you heard about Inktank Ceph and are interested to learn some tips and tricks for getting started quickly and efficiently with Ceph? Then this is the session for you! In this two part session you learn details of: • the very latest enhancements and capabilities delivered in Inktank Ceph Enterprise such as a new erasure coded storage back-end, support for tiering, and the introduction of user quotas. • best practices, lessons learned and architecture considerations founded in real customer deployments of Dell and Inktank Ceph solutions that will help accelerate your Ceph deployment.
Startup Case Study: Leveraging the Broad Hadoop Ecosystem to Develop World-Fi...DataWorks Summit
Back in 2014, our team set out to change the way the world exchanges and collaborates with data. Our vision was to build a single tenant environment for multiple organisations to securely share and consume data. And we did just that, leveraging multiple Hadoop technologies to help our infrastructure scale quickly and securely.
Today Data Republic’s technology delivers a trusted platform for hundreds of enterprise level companies to securely exchange, commercialise and collaborate with large datasets.
Join Head of Engineering, Juan Delard de Rigoulières and Senior Solutions Architect, Amin Abbaspour as they share key lessons from their team’s journey with Hadoop:
* How a startup leveraged a clever combination of Hadoop technologies to build a secure data exchange platform
* How Hadoop technologies helped us deliver key solutions around governance, security and controls of data and metadata
* An evaluation on the maturity and usefulness of some Hadoop technologies in our environment: Hive, HDFS, Spark, Ranger, Atlas, Knox, Kylin: we've use them all extensively.
* Our bold approach to expose APIs directly to end users; as well as the challenges, learning and code we created in the process
* Learnings from the front-line: How our team coped with code changes, performance tuning, issues and solutions while building our data exchange
Whether you’re an enterprise level business or a start-up looking to scale - this case study discussion offers behind-the-scenes lessons and key tips when using Hadoop technologies to manage data governance and collaboration in the cloud.
Speakers:
Juan Delard De Rigoulieres, Head of Engineering, Data Republic Pty Ltd
Amin Abbaspour, Senior Solutions Architect, Data Republic
Simplifying Big Data Integration with Syncsort DMX and DMX-hPrecisely
Today’s modern data strategies have to manage more than growing data volumes. They must also address the added complexity of integrating diverse data sources and types, adhere to security and governance mandates, and ensure the right tools and skills are in place to deliver business value from the data.
Learn how the latest enhancements to Syncsort DMX and DMX-h can help you achieve your modern data strategy goals with a single interface for accessing and integrating all your enterprise data sources – batch and streaming – across Hadoop, Spark, Linux, Windows or Unix – on premise or in the cloud.
Watch this on-demand customer education webcast to learn the latest product features introduced this year, including:
• Best in class data ingestion capabilities with enhanced support for mainframes, RDBMSs, MPP, Avro/Parquet, Kafka, NoSQL and more.
• Single interface for streaming and batch processes – now with support for Kafka and MapR Streams
• Secure data access, data governance and lineage with seamless integration with Kerberos, Apache Ranger, Apache Ambari, Cloudera Manager, Cloudera Navigator and Sentry.
• Evolution of our design once, deploy anywhere architecture – now with support for Spark!
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Corporate Management | Session 3 of 3 | Tendenci AMS
WANdisco Non-Stop Hadoop: PHXDataConference Presentation Oct 2014
1. Non-Stop Hadoop: Adding R-A-S to your
Hadoop clusters using a Globally Consistent
HDFS Namespace
Presented by Chris Almond @ Phoenix Data Conference
October 2014
2. REALIZING THE POSSIBILITIES OF BIG DATA 2
WWW.WANDISCO.COM
For Today
Who am I and what is this about?
At Work:
chris.almond@wandisco.com
On line:
www.linkedin.com/in/chrisalmond/
www.twitter.com/calmo
Session Description:
Hadoop has quickly evolved into the system of
choice for storing and processing Big Data,
and is now widely used to support mission-critical
applications that operate within a ‘data
lake’ style infrastructures. A critical requirement of
such applications is the need for continuous
operation even in the event of various system
failures. This requirement has driven adoption of
multi-data center Hadoop architectures, a.k.a
geo-distributed or global Hadoop. In this session
we will provide a brief introduction to
WANdisco, then dig into how our Non-Stop
Hadoop solution addresses real world use
cases, and also a show live demonstration of
Non-Stop namenode operation across two
WAN connected hadoop clusters.
3. REALIZING THE POSSIBILITIES OF BIG DATA 3
WWW.WANDISCO.COM
WANdisco Background
• WANdisco: Wide Area Network Distributed Computing
– Enterprise ready, high availability software solutions that enable globally distributed
organizations to meet today’s data challenges of secure storage, scalability and availability
• Leader in tools for software engineers – Subversion
– Apache Software Foundation sponsor
• Highly successful IPO, London Stock Exchange, June 2012 (LSE:WAND)
• US patented active-active replication technology granted, November 2012
• Global locations
– San Ramon (CA)
– Chengdu (China)
– Tokyo (Japan)
– Boston (MA)
– Sheffield (UK)
– Belfast (UK)
5. REALIZING THE POSSIBILITIES OF BIG DATA 5
WWW.WANDISCO.COM
Non-Stop Hadoop
Non-Intrusive Plugin
Provides Continuous Availability
In the LAN / Across the WAN
Active/Active
6. REALIZING THE POSSIBILITIES OF BIG DATA 6
WWW.WANDISCO.COM
Key Problem For Multi Cluster Hadoop
LAN / WAN
+
=
7. Enterprise Ready Hadoop
Characteristics of Mission Critical Applications
REALIZING THE POSSIBILITIES OF BIG DATA 7
WWW.WANDISCO.COM
• Require Continuous Availability
– SLA’s, Regulatory Compliance
• Require HDFS to be Deployed Globally
– Share Data Between Data Centers
– Data is Consistent and Not Eventual
• Ease Administrative Burden
– Reduce Operational Complexity
– Simplify Disaster Recovery
– Lower RTO/RPO
• Allow Maximum Utilization of
Resource
– Within the Data Center
– Across Data Centers
10. Breaking Away from Active/Passive
What’s in a NameNode
REALIZING THE POSSIBILITIES OF BIG DATA 10
WWW.WANDISCO.COM
Single Standby
• Inefficient utilization of resource
– Journal Nodes
– ZooKeeper Nodes
– Standby Node
• Performance Bottleneck
• Still tied to the beeper
• Limited to LAN scope
Active / Active
• All resources utilized
– Only NameNode configuration
– Scale as the cluster grows
– All NameNodes active
• Load balancing
• Set resiliency (# of active NN)
• Global Consistency
11. Breaking Away from Active/Passive
What’s in a Data Center
REALIZING THE POSSIBILITIES OF BIG DATA 11
WWW.WANDISCO.COM
Standby Datacenter
• Idle Resource
– Single Data Center Ingest
– Disaster Recovery Only
• One way synchronization
– DistCp
• Error Prone
– Clusters can diverge over time
• Difficult to scale > 2 Data Centers
– Complexity of sharing data
increases
Active / Active
• DR Resource Available
– Ingest at all Data Centers
– Run Jobs in both Data Centers
• Replication is Multi-Directional
– active/active
• Absolute Consistency
– Single HDFS spans locations
• ‘N’ Data Center support
– Global HDFS allows appropriate
data to be shared
12. REALIZING THE POSSIBILITIES OF BIG DATA 12
WWW.WANDISCO.COM
One Cluster Aproach
• Example
Applications
– HBASE
– RT Query
– Map Reduce
• Poor Resource
Management
– Data Locality Issues
– Network Use
– Complex
Multiple Clusters
13. REALIZING THE POSSIBILITIES OF BIG DATA 13
WWW.WANDISCO.COM
Creating Multiple Clusters
• Example
Applications
– HBASE
– RT Query
– Map Reduce
• Need to share data
between clusters
– DistCp / Stale Data
– Inefficient use of
storage and or
network
– Some clusters may
not be available
Multiple Clusters
14. REALIZING THE POSSIBILITIES OF BIG DATA 14
WWW.WANDISCO.COM
Cluster Zones
Zoning for Optimal Efficiency
1
HDFS
100%
Consistency
15. Absolute
Consistency
Maximum
Resource
Use
Lower
Recovery
Time/Point
REALIZING THE POSSIBILITIES OF BIG DATA 15
WWW.WANDISCO.COM
Multi Datacenter Hadoop
Disaster Recovery
WAN
REPLICATION
Replicate
Only
What
You
Want
BeEer
UHlizaHon
of
Power/Cooling
Lower
TCO
LAN
Speed
Performance
17. Multi Data Center Hadoop Today
What's wrong with the status quo
REALIZING THE POSSIBILITIES OF BIG DATA 17
WWW.WANDISCO.COM
Periodic Synchronization
DistCp
Parallel Data Ingest
Load Balancer, Streaming
18. Multi Data Center Hadoop Today
Hacks currently in use
REALIZING THE POSSIBILITIES OF BIG DATA 18
WWW.WANDISCO.COM
Periodic Synchronization
DistCp
• Runs as Map reduce
• DR Data Center is read only
• Over time, Hadoop clusters
become inconsistent
• Manual and labor intensive
process to reconcile differences
• Inefficient us of the network
19. Multi Data Center Hadoop Today
Hacks currently in use
REALIZING THE POSSIBILITIES OF BIG DATA 19
WWW.WANDISCO.COM
Parallel Data Ingest
Load Balancer, Flume
• Hiccups in either of the Hadoop
cluster causes the two file
systems to diverge
• Potential to run out of buffer when
WAN is down
• Requires constant attention and
sys-admin hours to keep running
• Data created on the cluster is not
replicated
• Use of streaming technologies
(like flume) for data redirection are
only for streaming
20. REALIZING THE POSSIBILITIES OF BIG DATA 20
WWW.WANDISCO.COM
DConE
Distributed Coordination Engine
• WANdisco’s patented WAN capable paxos implementation
– Mathematically proven
– Provides distributed co-ordination of File system metadata
• Active/Active (All locations)
• Create, Modify, Delete
• Shared nothing (No Leader)
• No restrictions on distance between datacenters
– US Patent granted for time independent implementation of Paxos
• Not based on SAN block device synchronization such as EMC SRDF
– SAN block replication has distance limits resulting from the inability of file systems
such as NTFS and ext4 to tolerate long RTTs to block storage
– Possible distribution of corrupted blocks
21. PAXOS
Paxos is a family of protocols for solving consensus in a network of
unreliable processors.
Consensus is the process of agreeing on one result among a group of
participants.
This problem becomes difficult when the participants or their
communication medium may experience failures.
REALIZING THE POSSIBILITIES OF BIG DATA 21
WWW.WANDISCO.COM
DConE
Distributed Coordination Engine
• WANdisco’s patented WAN capable paxos implementation
– Mathematically proven
– Provides distributed co-ordination of File system metadata
• Active/Active (All locations)
• Create, Modify, Delete
• Shared nothing (No Leader)
• No restrictions on distance between datacenters
– US Patent granted for time independent implementation of Paxos
• Not based on SAN block device synchronization such as EMC SRDF
– SAN block replication has distance limits resulting from the inability of file systems
such as NTFS and ext4 to tolerate long RTTs to block storage
– Possible distribution of corrupted blocks
22. PAXOS
Leslie
Lamport:
Any
node
that
proposes
aDer
a
decision
has
been
reached
must
communicate
with
a
node
in
the
majority.
The
protocol
guarantees
that
it
will
learn
the
previously
agreed
upon
value
from
that
majority.
hEp://research.microsoW.com/en-‐us/um/people/lamport/pubs/pubs.html
REALIZING THE POSSIBILITIES OF BIG DATA 22
WWW.WANDISCO.COM
DConE
Distributed Coordination Engine
• WANdisco’s patented WAN capable paxos implementation
– Mathematically proven
– Provides distributed co-ordination of File system metadata
• Active/Active (All locations)
• Create, Modify, Delete
• Shared nothing (No Leader)
• No restrictions on distance between datacenters
– US Patent granted for time independent implementation of Paxos
• Not based on SAN block device synchronization such as EMC SRDF
– SAN block replication has distance limits resulting from the inability of file systems
such as NTFS and ext4 to tolerate long RTTs to block storage
– Possible distribution of corrupted blocks
hEp://research.microsoW.com/en-‐us/um/people/lamport/pubs/lamport-‐paxos.pdf
hEp://css.csail.mit.edu/6.824/2014/
papers/paxos-‐simple.pdf
23. PAXOS
REALIZING THE POSSIBILITIES OF BIG DATA 23
WWW.WANDISCO.COM
DConE
Distributed Coordination Engine
• WANdisco’s patented WAN capable paxos implementation
– Mathematically proven
– Provides distributed co-ordination of File system metadata
• Active/Active (All locations)
• Create, Modify, Delete
• Shared nothing (No Leader)
• No restrictions on distance between datacenters
– US Patent granted for time independent implementation of Paxos
• Not based on SAN block device synchronization such as EMC SRDF
– SAN block replication has distance limits resulting from the inability of file systems
such as NTFS and ext4 to tolerate long RTTs to block storage
– Possible distribution of corrupted blocks
“Contrary to conventional wisdom, we
were able to use Paxos to build a highly
available system that provides
reasonable latencies for interactive
applications while synchronously
replicating writes across geographically
distributed datacenters.“
http://www.cidrdb.org/cidr2011/Papers/
CIDR11_Paper32.pdf …
24. How DConE Works
WANdisco Active/Active Replication
REALIZING THE POSSIBILITIES OF BIG DATA 24
WWW.WANDISCO.COM
• Majority Quorum
– A fixed number of participants
– The Majority must agree for change
• Failure
– Failed nodes are unavailable
– Normal operation continue on nodes
with quorum
• Recovery / Self Healing
– Nodes that rejoin stay in safe mode
until they are caught up
• Disaster Recovery
– A complete loss can be brought back
from another replica
TX
id:
168
TX
id:
169
TX
id:
TX
id:
171
TX
id:
172
TX
id:
173
TX
id:
168
TX
id:
169
TX
id:
TX
id:
171
TX
id:
172
TX
id:
173
TX
id:
168
TX
id:
169
TX
id:
TX
id:
171
TX
id:
172
TX
id:
173
Proposal
170
Agree
170
Agree
170
Proposal
171
Agree
172
Agree
173
Agree
Proposal
172
Proposal
173
B
A
C
Agree
170
Agree
Agree
Agree
173
26. Use Case: Disaster Recovery
Use Cases
REALIZING THE POSSIBILITIES OF BIG DATA 26
WWW.WANDISCO.COM
• Data is as current as possible (no
periodic synchs)
• Doesn’t require monitoring and
consistency checking
• Virtually zero downtime to recover
from regional data center failure
• Regulatory compliance
27. REALIZING THE POSSIBILITIES OF BIG DATA 27
• Ingest and analyze anywhere
• Analyze Everywhere
– Fraud Detection
– Equity Trading Information
– New Business
– Etc…
• Backup Datacenter(s) can be used
WWW.WANDISCO.COM
for work
– No idle resource
Use Case: Multi Data-Center
Ingest and multi-tenant workloads
28. Use Case: Zones
REALIZING THE POSSIBILITIES OF BIG DATA 28
WWW.WANDISCO.COM
• Maximize Resource Utilization
– No idle standby
• Isolate Dev and Test Clusters
– Share data not resource
• Carve off hardware for a specific
group
– Prevents a bad map/reduce job from
bringing down the cluster
• Guarantee Consistency and
availability of data
– Data is instantly available
29. Use Case: Heterogeneous Hardware (Zones)
In memory analytics
REALIZING THE POSSIBILITIES OF BIG DATA 29
WWW.WANDISCO.COM
• Mixed Hardware Profiles
– Memory, Disk, CPU
– Isolate memory-hungry
processing (Storm/Spark) from
regular jobs
• Share data, not processing
– Isolate lower priority (dev/
test) work
30. REALIZING THE POSSIBILITIES OF BIG DATA 30
WWW.WANDISCO.COM
Data
Ocean
Feeder
Site
AccounHng
Mart
Banking
Mart
• Data Marts
– Restrict access to relevant
data
– Create Quick Clusters
• Feeder Sites (Data
Tributaries)
– Ingest Only
Data Reservoir
Use Cases
31. REALIZING THE POSSIBILITIES OF BIG DATA 31
WWW.WANDISCO.COM
• Basel III
– Consistency of Data
• Data Privacy Directive
– Data Sovereignty
• data doesn’t leave country of origin
Compliance
RegulaHon
Guidelines
Regulatory Compliance
32. 5 Reasons your Hadoop Deployment Needs Wandisco
REALIZING THE POSSIBILITIES OF BIG DATA 32
WWW.WANDISCO.COM