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Activities & events
| Title & Speakers | Event |
|---|---|
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[EXTERNAL] AI Infrastructure That Doesn’t Suck
2025-08-28 · 16:00
Big AI models need big I/O. If your storage can’t keep up, your GPUs are bad investments. Legacy systems choke on modern training and inferencing workloads—and that’s burning time, money, and opportunity. AI is a journey; whether you are on the AI lite side with cloud or the AI heavy side with in-house compute - we've got you covered! In this session, we’ll call out why your current infrastructure is failing AI and discuss how next-gen tech—like blazing-fast NVMe arrays, IBM Ceph’s scale-out muscle, and IBM's Openshift based Fusion Hyper-converged container-native brains—are built to feed the beast. Stop starving your GPUs. Join us and discover how to Kill the bottlenecks & crush the pipeline. Let’s go! Details and RSVP: https://www.eventbrite.com/e/ai-infrastructure-that-doesnt-suck-tickets-1571172321709 |
[EXTERNAL] AI Infrastructure That Doesn’t Suck
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[EXTERNAL] AI Infrastructure That Doesn’t Suck
2025-08-28 · 16:00
Big AI models need big I/O. If your storage can’t keep up, your GPUs are bad investments. Legacy systems choke on modern training and inferencing workloads—and that’s burning time, money, and opportunity. AI is a journey; whether you are on the AI lite side with cloud or the AI heavy side with in-house compute - we've got you covered! In this session, we’ll call out why your current infrastructure is failing AI and discuss how next-gen tech—like blazing-fast NVMe arrays, IBM Ceph’s scale-out muscle, and IBM's Openshift based Fusion Hyper-converged container-native brains—are built to feed the beast. Stop starving your GPUs. Join us and discover how to Kill the bottlenecks & crush the pipeline. Let’s go! Details and RSVP: https://www.eventbrite.com/e/ai-infrastructure-that-doesnt-suck-tickets-1571172321709 |
[EXTERNAL] AI Infrastructure That Doesn’t Suck
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#259 Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt
2024-11-07 · 10:00
Scott Voigt
– CEO and co-founder
@ Fullstory
,
Jonathan Bloch
– CEO
@ Exchange Data International (EDI)
,
Richie
– host
@ DataCamp
We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Understanding where the data you use comes from, how to use it responsibly, and how to maximize its value has become essential. But as data sources multiply, so do the complexities around data privacy, customization, and ownership. How can companies capture and leverage the right data to create meaningful customer experiences while respecting privacy? And as data drives more personalized interactions, what steps can businesses take to protect sensitive information and navigate the increasingly complex regulatory picture? Jonathan Bloch is CEO at Exchange Data International (EDI) and a seasoned businessman with 40 years experience in information provision. He started work in the newsletter industry and ran the US subsidiary of a UK public company before joining its main board as head of its publishing division. He has been a director and/or chair of several companies and is currently a non executive director of an FCA registered investment bank. In 1994 he founded Exchange Data International (EDI) a London based financial data provider. EDI now has over 450 clients across three continents and is based in the UK, USA, India and Morocco employing 500 people. Scott Voigt is CEO and co-founder at Fullstory. Scott has enjoyed helping early-stage software businesses grow since the mid 90s, when he helped launch and take public nFront—one of the world's first Internet banking service providers. Prior to co-founding Fullstory, Voigt led marketing at Silverpop before the company was acquired by IBM. Previously, he worked at Noro-Moseley Partners, the Southeast's largest Venture firm, and also served as COO at Innuvo, which was acquired by Google. Scott teamed up with two former Innuvo colleagues, and the group developed the earliest iterations of Fullstory to understand how an existing product was performing. It was quickly apparent that this new platform provided the greatest value—and the rest is history. In the episode, Richie, Jonathan and Scott explore first-party vs third-party data, protecting corporate data, behavioral data, personalization, data sourcing strategies, platforms for storage and sourcing, data privacy, synthetic data, regulations and compliance, the future of data collection and storage, and much more. Links Mentioned in the Show: FullstoryExchange Data InternationalConnect with Jonathan and ScottCourse: Understanding GDPRRelated Episode: How Data and AI are Changing Data Management with Jamie Lerner, CEO, President, and Chairman at QuantumSign up to RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile... |
DataFramed |
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This IBM® Redpaper® Product Guide describes the IBM FlashCore Module (FCM) history, a general overview and then a deeper dive on the way IBM leads the field in the adoption of high speed, low latency storage. The IBM FlashCore Module is used in the latest IBM FlashSystem® solutions, which is are next-generation IBM FlashSystem control enclosures. The IBM FlashCore Module combines the performance of flash and a Non-Volatile Memory Express (NVMe) optimized architecture with the reliability and innovation of IBM FlashCore® technology and the rich feature set and high availability (HA) with IBM Storage Virtualize software. |
O'Reilly Data Engineering Books
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Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs
2024-06-27 · 18:50
Please register using the zoom link to get a reminder: https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g This presentation focuses on how organizations can embark on Gen AI journey from Prompt Engineering, RAG to Fine Tuning LLMs. It delves into how to unlock the power of retrieval-augmented-generation (RAG) for generative AI apps. Discover the art of designing, building, and optimizing RAG applications using Google AlloyDB Omni, a PostgreSQL-compatible database, in tandem with powerful LLMs like OpenAI, VertexAI, or other Open Source variants. Learn how enterprises can transcend from foundational RAG frameworks to Advanced RAG systems, unlocking unprecedented relevancy and accuracy in query responses. Delve into the best practices for deploying RAG applications and gain insights into the evaluation of RAG systems, ensuring optimal performance and maximum impact. Agenda: (PDT) 11:50 am - 12:00 pm Arrival, socializing, and Opening (PDT) 12:00 pm - 1:00 pm Prasad Venkatachar "Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs" (PDT) 1:00 pm - 1:15 pm Q&A About Prasad Venkatachar Prasad Venkatachar is Sr Director - Solutions Engineering & Products at Pliops. He is focused on Solutions and Product strategy and leading and driving AI/GenAI, Data, Analytics & Storage solutions with partners. He has launched multiple industry-leading Data & AI/ML products & solutions collaborating with Microsoft, IBM, Oracle, Cloudera, and ISV partners to grow revenue & gain market share at Lenovo & HPE. He also served as a Microsoft Data and AI Partner Advisory Council Member and Member of Lenovo Technology Innovation. Served fortune 500 enterprise customers as SME to deliver business value outcomes for Datacenter and Cloud deployments. He has good experience and certified with Multiple Cloud (AWS/Azure/GCP/IBM) and Database (Oracle/DB2/Azure Data) and AI/Gen AI certifications. A regular speaker in Industry Conferences: Microsoft Ignite, Oracle Open World, Developer conferences: Pass Summit, Oracle users group, Flash Memory Summit, SNIA & Gartner Conference https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g Webinar Passcode 216172 |
Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs
|
|
Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs
2024-06-27 · 18:50
Please register using the zoom link to get a reminder: https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g This presentation focuses on how organizations can embark on Gen AI journey from Prompt Engineering, RAG to Fine Tuning LLMs. It delves into how to unlock the power of retrieval-augmented-generation (RAG) for generative AI apps. Discover the art of designing, building, and optimizing RAG applications using Google AlloyDB Omni, a PostgreSQL-compatible database, in tandem with powerful LLMs like OpenAI, VertexAI, or other Open Source variants. Learn how enterprises can transcend from foundational RAG frameworks to Advanced RAG systems, unlocking unprecedented relevancy and accuracy in query responses. Delve into the best practices for deploying RAG applications and gain insights into the evaluation of RAG systems, ensuring optimal performance and maximum impact. Agenda: (PDT) 11:50 am - 12:00 pm Arrival, socializing, and Opening (PDT) 12:00 pm - 1:00 pm Prasad Venkatachar "Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs" (PDT) 1:00 pm - 1:15 pm Q&A About Prasad Venkatachar Prasad Venkatachar is Sr Director - Solutions Engineering & Products at Pliops. He is focused on Solutions and Product strategy and leading and driving AI/GenAI, Data, Analytics & Storage solutions with partners. He has launched multiple industry-leading Data & AI/ML products & solutions collaborating with Microsoft, IBM, Oracle, Cloudera, and ISV partners to grow revenue & gain market share at Lenovo & HPE. He also served as a Microsoft Data and AI Partner Advisory Council Member and Member of Lenovo Technology Innovation. Served fortune 500 enterprise customers as SME to deliver business value outcomes for Datacenter and Cloud deployments. He has good experience and certified with Multiple Cloud (AWS/Azure/GCP/IBM) and Database (Oracle/DB2/Azure Data) and AI/Gen AI certifications. A regular speaker in Industry Conferences: Microsoft Ignite, Oracle Open World, Developer conferences: Pass Summit, Oracle users group, Flash Memory Summit, SNIA & Gartner Conference https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g Webinar Passcode 216172 |
Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs
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Founders stories: Tales of real-time analytics using Kafka
2024-06-06 · 17:00
Join us for this limited event with the opportunity to learn from two founders. Please note there are only 70 spaces and entry will be strictly limited to first registered. Date and Time: 🗓️ Thursday 6th June, ⏰ 18:00 PM - 8:30 PM 🕘 Venue: Central London Attending Brands: OSO, Conduktor, RisingWave Labs Networking: Pizza + Beer at the end Schedule: 6:00pm: Doors Open 6:00pm - 6:30pm: Food, drinks, networking 6:30pm - 7:00pm: Yingjun Wu, Founder of RisingWave Labs 7:00pm - 7:30pm: Stéphane Derosiaux, Co-Founder and CTO of Conduktor 7:30pm-8:30pm: Additional Q&A, Networking 🎙️ \~Talk 1\~ Talk Title: Streaming Analytics on Kafka: Not Your Father's Streaming SQL Engine! Summary: How do you query Kafka data in real-time? Use streaming SQL engine! It sounds straightforward, right? However, when it comes to handling schema changes, dynamic scaling, high availability, and complex streaming joins, the challenges become apparent. The root cause often lies in how internal states are managed in these systems. In this talk, I will introduce RisingWave, a scalable streaming database that utilizes S3 as its primary storage. By decoupling compute from storage, RisingWave enables independent scaling of these components. From underlying technology to real-world scenarios, I will illustrate how RisingWave supports heavy traffic workloads in enterprise-grade production environments. 🗣️ Speaker: Yingjun Wu, Founder of RisingWave Labs Yingjun Wu is the founder of RisingWave Labs, a database company developing RisingWave, a distributed SQL database for stream processing. Before running the company, Yingjun was a software engineer at the Redshift team, Amazon Web Services, and a researcher at the Database group, IBM Almaden Research Center. Yingjun received his PhD degree from National University of Singapore, and was a visiting PhD at Carnegie Mellon University. He has been working in the field of stream processing and database systems for over a decade. 🎙️ \~Talk 2\~ Talk Title: How to Avoid Shooting Myself in the Foot with Kafka? Summary: How do you develop a robust applications dealing with Kafka? How can we use CI/CD to make our life simpler? How to handle invalid messages, schema evolution, and data quality? Many challenges ahead. Here, I will focus on common mistakes and challenges in the Kafka landscape and how to mitigate them. We will cover how CI/CD practices help address these issues and their limitations. We'll discuss how to deal with poison pills and DLQ (what makes a good DLQ?), and how to deal with your Product Owner requirements. Finally, we'll compare the creation of a custom SDK versus using a Kafka proxy, and look ahead to future innovations that could transform the Kafka landscape. Don't miss this opportunity to enhance your Kafka knowledge and skills. 🗣️ Speaker: Stéphane Derosiaux, Co-Founder and CTO of Conduktor Stephane Derosiaux is the co-founder and CTO of Conduktor. An Apache Kafka enthusiast, he's dedicated to creating the best data streaming experience for developers and organisations. He has more than 15+ years of expertise in software and data engineering, acquired through extensive large-scale Adtech and Retailtech organisations. |
Founders stories: Tales of real-time analytics using Kafka
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|
Daniel Beukers
– author
,
Connie Riggins
– author
,
Jörg Klemm
– author
,
Peter Kimmel
– author
,
Bozhidar Feraliev
– author
,
Gauurav Sabharwal
– author
,
Jeff Cook
– author
This IBM® Redbooks® publication describes the concepts, architecture, and implementation of the IBM Storage DS8900F family. The book provides reference information to assist readers who need to plan for, install, and configure the DS8900F systems. This edition applies to DS8900F systems with IBM Storage DS8000® Licensed Machine Code (LMC) 7.9.30 (bundle version 89.30.xx.x), referred to as Release 9.3. The DS8900F systems are all-flash exclusively, and they are offered as three classes: DS8980F: Analytic Class: The DS8980F Analytic Class offers best performance for organizations that want to expand their workload possibilities to artificial intelligence (AI), Business Intelligence (BI), and machine learning (ML). IBM DS8950F: Agility Class: The Agility Class consolidates all your mission-critical workloads for IBM Z®, IBM LinuxONE, IBM Power, and distributed environments under a single all-flash storage solution. IBM DS8910F: Flexibility Class: The Flexibility Class reduces complexity while addressing various workloads at the lowest DS8900F family entry cost. The DS8900F architecture relies on powerful IBM POWER9™ processor-based servers that manage the cache to streamline disk input/output (I/O), which maximizes performance and throughput. These capabilities are further enhanced by High-Performance Flash Enclosures (HPFE) Gen2. Like its predecessors, the DS8900F supports advanced disaster recovery (DR) solutions, business continuity solutions, and thin provisioning. |
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This IBM® Redpaper® Product Guide publication describes the IBM Storage FlashSystem® 5200 solution, which is a next-generation IBM Storage FlashSystem control enclosure. It is an NVMe end-to-end platform that is targeted at the entry and midrange market and delivers the full capabilities of IBM FlashCore® technology. It also provides a rich set of software-defined storage (SDS) features that are delivered by IBM Storage Virtualize, including the following features: Data reduction and deduplication Dynamic tiering Thin provisioning Snapshots Cloning Replication Data copy services Transparent Cloud Tiering IBM HyperSwap® including 3-site replication for high availability (HA) Scale-out and scale-up configurations further enhance capacity and throughput for better availability. The IBM Storage FlashSystem 5200 is a high-performance storage solution that is based on a revolutionary 1U form factor. It consists of 12 NVMe Flash Devices in a 1U storage enclosure drawer with full redundant canister components and no single point of failure. It is designed for businesses of all sizes, including small, remote, branch offices and regional clients. It is a smarter, self-optimizing solution that requires less management, which enables organizations to overcome their storage challenges. Flash has come of age and price point reductions mean that lower parts of the storage market are seeing the value of moving over to flash and NVMe--based solutions. The IBM Storage FlashSystem 5200 advances this transition by providing incredibly dense tiers of flash in a more affordable package. With the benefit of IBM FlashCore Module compression and new QLC flash-based technology becoming available, a compelling argument exists to move away from Nearline SAS storage and on to NVMe. This Product Guide is aimed at pre-sales and post-sales technical support and marketing and storage administrators. |
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This IBM® Redpaper® Product Guide describes the IBM Storage FlashSystem® 9500 solution, which is a next-generation IBM Storage FlashSystem control enclosure. It combines the performance of flash and a Non-Volatile Memory Express (NVMe)-optimized architecture with the reliability and innovation of IBM FlashCore® technology and the rich feature set and high availability (HA) of IBM Storage Virtualize. Often, applications exist that are foundational to the operations and success of an enterprise. These applications might function as prime revenue generators, guide or control important tasks, or provide crucial business intelligence, among many other jobs. Whatever their purpose, they are mission critical to the organization. They demand the highest levels of performance, functionality, security, and availability. They also must be protected against the newer threat of cyberattacks. To support such mission-critical applications, enterprises of all types and sizes turn to the IBM Storage FlashSystem 9500. IBM Storage FlashSystem 9500 provides a rich set of software-defined storage (SDS) features that are delivered by IBM Storage Virtualize, including the following examples: Data reduction and deduplication Dynamic tiering Thin-provisioning Snapshots Cloning Replication and data copy services Cyber resilience Transparent Cloud Tiering IBM HyperSwap® including 3-site replication for HA Scale-out and scale-up configurations that further enhance capacity and throughput for better availability This Redpaper applies to IBM Storage Virtualize V8.6. |
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IBM TS7700 Release 5.3 Guide
2024-02-27
Shinsuke Ueyama
– author
,
Aderson Pacini
– author
,
Dave Brettell
– author
,
Yuki Asakura
– author
,
Nao Takemura
– author
,
Lourie Goodall
– author
,
Alberto Barajas Ortiz
– author
,
Erina Tatsumi
– author
,
Nielson ’Nino’ de Carvalho
– author
,
Chen Zhu
– author
,
Larry Coyne
– author
,
Taisei Takai
– author
,
Tomoaki Ogino
– author
,
Michael Scott
– author
,
Kousei Kawamura
– author
,
Derek Erdmann
– author
,
Trinidad Armando Rangel Ruiz
– author
,
Shinya Ohri
– author
,
Nobuhiko Furuya
– author
,
Joe Hew
– author
,
Rin Fujiwara
– author
,
Ramón A. Minjares Campos
– author
,
Stefan Neff
– author
,
Tony Makepeace
– author
,
Takahiro Tsuda
– author
This IBM Redbooks® publication covers IBM TS7700 R5.3. The IBM TS7700 is part of a family of IBM Enterprise tape products. This book is intended for system architects and storage administrators who want to integrate their storage systems for optimal operation. Building on over 25 years of experience, the R5.3 release includes many features that enable improved performance, usability, and security. Highlights include the IBM TS7700 Advanced Object Store, an all flash TS7770, grid resiliency enhancements, and Logical WORM retention. By using the same hierarchical storage techniques, the TS7700 (TS7770 and TS7760) can also off load to object storage. Because object storage is cloud-based and accessible from different regions, the TS7700 Cloud Storage Tier support essentially allows the cloud to be an extension of the grid. As of this writing, the TS7700C supports the ability to off load to IBM Cloud Object Storage, Amazon S3, and RSTOR. This publication explains features and concepts that are specific to the IBM TS7700 as of release R5.3. The R5.3 microcode level provides IBM TS7700 Cloud Storage Tier enhancements, IBM DS8000 Object Storage enhancements, Management Interface dual control security, and other smaller enhancements. The R5.3 microcode level can be installed on the IBM TS7770 and IBM TS7760 models only. TS7700 provides tape virtualization for the IBM Z® environment. Off loading to physical tape behind a TS7700 is used by hundreds of organizations around the world. New and existing capabilities of the TS7700 5.3 release includes the following highlights: Support for IBM TS1160 Tape Drives and JE/JM media Eight-way Grid Cloud, which consists of up to three generations of TS7700 Synchronous and asynchronous replication of virtual tape and TCT objects Grid access to all logical volume and object data independent of where it resides An all flash TS7770 option for improved performance Full Advanced Object Store Grid Cloud support of DS8000 Transparent Cloud Tier Full AES256 encryption for data that is in-flight and at-rest Tight integration with IBM Z and DFSMS policy management DS8000 Object Store with AES256 in-flight encryption and compression Regulatory compliance through Logical WORM and LWORM Retention support Cloud Storage Tier support for archive, logical volume versions, and disaster recovery Optional integration with physical tape 16 Gb IBM FICON® throughput that exceeds 4 GBps per TS7700 cluster Grid Resiliency Support with Control Unit Initiated Reconfiguration (CUIR) support IBM Z hosts view up to 3,968 3490 devices per TS7700 grid TS7770 Cache On Demand feature that uses capacity-based licensing TS7770 support of SSD within the VED server The TS7700T writes data by policy to physical tape through attachment to high-capacity, high-performance IBM TS1160, IBM TS1150, and IBM TS1140 tape drives that are installed in an IBM TS4500 or TS3500 tape library. The TS7770 models are based on high-performance and redundant IBM Power9® technology. They provide improved performance for most IBM Z tape workloads when compared to the previous generations of IBM TS7700. |
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Jordan Fincher
– author
,
Duane Bolland
– author
,
David Green
– author
,
Vasfi Gucer
– author
,
Nezih Boyacioglu
– author
,
Ibrahim Alade Rufai
– author
,
Leandro Torolho
– author
,
Warren Hawkins
– author
This IBM® Redbooks® publication details the configuration and best practices for using the IBM FlashSystem® family of storage products within a VMware environment. The first version of this book was published in 2021 and specifically addressed IBM Spectrum® Virtualize Version 8.4 with VMware vSphere 7.0. This second version of this book includes all the enhancements that are available with IBM Spectrum Virtualize 8.5. Topics illustrate planning, configuring, operations, and preferred practices that include integration of IBM FlashSystem storage systems with the VMware vCloud suite of applications: VMware vSphere Web Client (vWC) vSphere Storage APIs - Storage Awareness (VASA) vSphere Storage APIs – Array Integration (VAAI) VMware Site Recovery Manager (SRM) VMware vSphere Metro Storage Cluster (vMSC) Embedded VASA Provider for VMware vSphere Virtual Volumes (vVols) This book is intended for presales consulting engineers, sales engineers, and IBM clients who want to deploy IBM FlashSystem storage systems in virtualized data centers that are based on VMware vSphere. Note: There is a newer version of this book: "IBM Storage Virtualize and VMware: Integrations, Implementation and Best Practices, SG24-8549". This book addresses IBM Storage Virtualize Version 8.6 with VMware vSphere 8. The new IBM Storage plugin for vSphere is covered in this book. |
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This IBM Blueprint outlines how CMTG and IBM have partnered to provide cyber resilient services to their clients. CMTG is one of Australia's leading private cloud providers based in Perth, Western Australia. The solution is based on IBM Storage FlashSystem, IBM Safeguarded Copy and IBM Storage Copy Data Management. The target audience for this Blueprint is IBM Storage technical specialists and storage admins. |
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IBM® Storage Virtualize based storage systems are secure storage platforms that implement various security-related features, in terms of system-level access controls and data-level security features. This document outlines the available security features and options of IBM Storage Virtualize based storage systems. It is not intended as a "how to" or best practice document. Instead, it is a checklist of features that can be reviewed by a user security team to aid in the definition of a policy to be followed when implementing IBM FlashSystem®, IBM SAN Volume Controller, and IBM Storage Virtualize for Public Cloud. IBM Storage Virtualize features the following levels of security to protect against threats and to keep the attack surface as small as possible: The first line of defense is to offer strict verification features that stop unauthorized users from using login interfaces and gaining access to the system and its configuration. The second line of defense is to offer least privilege features that restrict the environment and limit any effect if a malicious actor does access the system configuration. The third line of defense is to run in a minimal, locked down, mode to prevent damage spreading to the kernel and rest of the operating system. The fourth line of defense is to protect the data at rest that is stored on the system from theft, loss, or corruption (malicious or accidental). The topics that are discussed in this paper can be broadly split into two categories: System security: This type of security encompasses the first three lines of defense that prevent unauthorized access to the system, protect the logical configuration of the storage system, and restrict what actions users can perform. It also ensures visibility and reporting of system level events that can be used by a Security Information and Event Management (SIEM) solution, such as IBM QRadar®. Data security: This type of security encompasses the fourth line of defense. It protects the data that is stored on the system against theft, loss, or attack. These data security features include Encryption of Data At Rest (EDAR) or IBM Safeguarded Copy (SGC). This document is correct as of IBM Storage Virtualize 8.6. |
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PyData London - 82nd Meetup
2024-02-06 · 19:00
Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD - IMPORTANT: LOCATION UPDATED! Please note:
If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know. Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. As always, there'll be free food & drinks, generously provided by our host, Man Group. Main Talks Toolbox of a not-so Data Scientist - Tambe Tabitha Achere This talk is about building data science solutions in scenarios where demos cannot be done on a notebook and dashboards do not suffice as a final deliverable. By the end of this session, the audience will have an idea of how data scientists can build the logic behind full-stack applications without the need to learn a backend framework. I will do a deep dive into one of my projects and there will be lots of code samples accompanied by explanations that led to design decisions. The project I'll be diving into is one in which the data could not be pulled in so if you've ever had to build for data you couldn't see, this session is for you too. I'll highlight the tools, packages and processes that enabled it to be built. Boosting Similarity Search With Real-time Stream Processing - Fawaz Ghali The goal of similarity search and vector databases is to find similar results to the search query for unstructured data, such as text, images, and videos. The unstructured data first is vectorized, and stored in a vector format. There are publicly available tools to create vectors from unstructured data; similarly, there are vector databases to store and perform similarity searches. This is important because of the rising popularity of Large Language Models (LLMs) and their combination with vector databases. Here, we present a hybrid approach by taking the strengths of vector databases and boosting them with traditional search and filtering techniques based on real-time stream processing. Vector databases are good for building high-performance vector search applications. On the other hand, stream processing can be used for real-time fast data storage for structured data (filters, tags, and contextual data). In this work, we're adding context and memory to vector databases to ingest, enrich, predict, and act on your data in a simplified but efficient approach. In this talk, we’ll focus on how Real-time compute APIs help leverage the processing capabilities of a distributed cluster, so you aren’t leaving large potential performance gains on the table. The combination of Real-time storage and computing provides a unique synergy that enables applications to address real-time use cases at any scale. ⚡ Lightning Talks Open-Source Science (OSSci) - Tim Bonnemann Open-Source Science (OSSci) is a new NumFOCUS initiative – launched in July 2022 in partnership with IBM – that aims to accelerate scientific research by improving the ways open source software in science gets done (built, used, funded, sustained, recognized, etc.). OSSci connects scientists, OSS developers and other stakeholders to share best practices, identify common pain points, and explore solutions together. The five OSSci interest groups to date cover domain-specific topics (chemistry/materials, life sciences/healthcare, climate/sustainability) as well as cross-domain topics (reproducibility, map of science), with more to be rolled out in 2024. This lightning talk will provide a brief overview of OSSci’s activities to date, our plans for 2024, and how you can get involved. (Maybe) faster Pandas with CuDF on the GPU (perhaps) - Ian Ozsvald NVIDIA's CuDF promises 100-1000x GPU speed ups with 100% compatibility, with a bit of effort it can be made to work. This talk shows what could work and which bits (including setup!) can be painful Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. |
PyData London - 82nd Meetup
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IBM Storage Fusion Multicloud Object Gateway
2024-01-31
Eyal Abraham
– author
,
Shawn Houston
– author
This Redpaper provides an overview of IBM Storage Fusion Multicloud Object Gateway (MCG) and can be used as a quick reference guide for the most common use cases. The intended audience is cloud and application administrators, as well as other technical staff members who wish to learn how MCG works, how to set it up, and usage of a Backing Store or Namespace Store, as well as object caching. |
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This IBM® Redpaper® Product Guide describes the IBM SAN Volume Controller model SV3 solution, which is a next-generation IBM SAN Volume Controller. Built with IBM Storage Virtualize software and part of the IBM Storage family, IBM SAN Volume Controller is an enterprise-class storage system. It helps organizations achieve better data economics by supporting the large-scale workloads that are critical to success. Data centers often contain a mix of storage systems. This situation can arise as a result of company mergers or as a deliberate acquisition strategy. Regardless of how they arise, mixed configurations add complexity to the data center. Different systems have different data services, which make it difficult to move data from one to another without updating automation. Different user interfaces increase the need for training and can make errors more likely. Different approaches to hybrid cloud complicate modernization strategies. Also, many different systems mean more silos of capacity, which can lead to inefficiency. To simplify the data center and to improve flexibility and efficiency in deploying storage, enterprises of all types and sizes turn to IBM SAN Volume Controller, which is built with IBM Spectrum Virtualize software. This software simplifies infrastructure and eliminates differences in management, function, and even hybrid cloud support. IBM SAN Volume Controller introduces a common approach to storage management, function, replication, and hybrid cloud that is independent of storage type. It is the key to modernizing and revitalizing your storage, but is as easy to understand. IBM SAN Volume Controller provides a rich set of software-defined storage (SDS) features that are delivered by IBM Storage Virtualize, including the following examples: Data reduction and deduplication Dynamic tiering Thin-provisioning Snapshots Cloning Replication and data copy services Data-at-rest encryption Cyber resilience Transparent Cloud Tiering IBM HyperSwap® including three-site replication for high availability (HA) This Redpaper applies to IBM Storage Virtualize V8.6. |
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The Cyber Cloud - Next Steps for Augmenting Cyber Security with The Cloud
2023-11-16 · 20:30
Topic repeated at 2 different times, please join the session that is best suited for your time zone. The cloud offers more than just a bucket for data and applications to be delivered “as a service.” Isolated virtual environments, air gap gateways, recovery tools, virtual networking, immutable storage, clean rooms, and new security tools such as scanners and AI are all a part of the next generation of cyber security solutions against advanced threats. This session will explore real use cases and VMware client examples of how these tools can be used and, in some cases, combined to augment existing security strategies against ransomware and the new regulations and compliance requirements. Presenter: Ana Biazetti, David Mitchell Ana Biazetti is a Distinguished Engineer at IBM who is passionate about developing cutting edge technology solutions that address real world problems. She is a Chief Architect at the IBM Cloud for Financial Services CTO team and helps Banks and Financial Institutions bring their regulated workloads to Hybrid Cloud while fulfilling their resilience, security and compliance requirements. With her extensive experience in software development, dev/sec/ops and cloud solutions, she has implemented High Availability, Disaster Recovery and Continuous Availability across many products and solutions and has been recently focused on Operational Resilience and Cyber Resilience capabilities for Hybrid Cloud. David Mitchell is currently a Senior Product Manager for IBM Cloud Global Solutions and has three decades of successful experience in product management for technology and security companies worldwide. David specializes in new and emerging cybersecurity technologies and regularly sets data protection strategies for financial and government organizations. A strong believer in the power of design thinking and customer perspective, David leads the cyber resilience strategy for IBM Cloud. David enjoys creating music, watching the latest binge, and mountain biking when he can. *** Please join us at the session that is best suited to your time zone. Note that this topic is: 1. Repeated at two different times to accommodate various time zones\, because it is 2. Posted simultaneously in multiple meetup groups world-wide *** It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rebc36b8e2d1b74048c7195154762e8f8 |
The Cyber Cloud - Next Steps for Augmenting Cyber Security with The Cloud
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The Cyber Cloud - Next Steps for Augmenting Cyber Security with The Cloud
2023-11-16 · 20:30
Topic repeated at 2 different times, please join the session that is best suited for your time zone. The cloud offers more than just a bucket for data and applications to be delivered “as a service.” Isolated virtual environments, air gap gateways, recovery tools, virtual networking, immutable storage, clean rooms, and new security tools such as scanners and AI are all a part of the next generation of cyber security solutions against advanced threats. This session will explore real use cases and VMware client examples of how these tools can be used and, in some cases, combined to augment existing security strategies against ransomware and the new regulations and compliance requirements. Presenter: Ana Biazetti, David Mitchell Ana Biazetti is a Distinguished Engineer at IBM who is passionate about developing cutting edge technology solutions that address real world problems. She is a Chief Architect at the IBM Cloud for Financial Services CTO team and helps Banks and Financial Institutions bring their regulated workloads to Hybrid Cloud while fulfilling their resilience, security and compliance requirements. With her extensive experience in software development, dev/sec/ops and cloud solutions, she has implemented High Availability, Disaster Recovery and Continuous Availability across many products and solutions and has been recently focused on Operational Resilience and Cyber Resilience capabilities for Hybrid Cloud. David Mitchell is currently a Senior Product Manager for IBM Cloud Global Solutions and has three decades of successful experience in product management for technology and security companies worldwide. David specializes in new and emerging cybersecurity technologies and regularly sets data protection strategies for financial and government organizations. A strong believer in the power of design thinking and customer perspective, David leads the cyber resilience strategy for IBM Cloud. David enjoys creating music, watching the latest binge, and mountain biking when he can. *** Please join us at the session that is best suited to your time zone. Note that this topic is: 1. Repeated at two different times to accommodate various time zones\, because it is 2. Posted simultaneously in multiple meetup groups world-wide *** It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rebc36b8e2d1b74048c7195154762e8f8 |
The Cyber Cloud - Next Steps for Augmenting Cyber Security with The Cloud
|
|
The Cyber Cloud - Next Steps for Augmenting Cyber Security with The Cloud
2023-11-16 · 20:30
Topic repeated at 2 different times, please join the session that is best suited for your time zone. The cloud offers more than just a bucket for data and applications to be delivered “as a service.” Isolated virtual environments, air gap gateways, recovery tools, virtual networking, immutable storage, clean rooms, and new security tools such as scanners and AI are all a part of the next generation of cyber security solutions against advanced threats. This session will explore real use cases and VMware client examples of how these tools can be used and, in some cases, combined to augment existing security strategies against ransomware and the new regulations and compliance requirements. Presenter: Ana Biazetti, David Mitchell Ana Biazetti is a Distinguished Engineer at IBM who is passionate about developing cutting edge technology solutions that address real world problems. She is a Chief Architect at the IBM Cloud for Financial Services CTO team and helps Banks and Financial Institutions bring their regulated workloads to Hybrid Cloud while fulfilling their resilience, security and compliance requirements. With her extensive experience in software development, dev/sec/ops and cloud solutions, she has implemented High Availability, Disaster Recovery and Continuous Availability across many products and solutions and has been recently focused on Operational Resilience and Cyber Resilience capabilities for Hybrid Cloud. David Mitchell is currently a Senior Product Manager for IBM Cloud Global Solutions and has three decades of successful experience in product management for technology and security companies worldwide. David specializes in new and emerging cybersecurity technologies and regularly sets data protection strategies for financial and government organizations. A strong believer in the power of design thinking and customer perspective, David leads the cyber resilience strategy for IBM Cloud. David enjoys creating music, watching the latest binge, and mountain biking when he can. *** Please join us at the session that is best suited to your time zone. Note that this topic is: 1. Repeated at two different times to accommodate various time zones\, because it is 2. Posted simultaneously in multiple meetup groups world-wide *** It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/rebc36b8e2d1b74048c7195154762e8f8 |
The Cyber Cloud - Next Steps for Augmenting Cyber Security with The Cloud
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