Dozens of financial institutions — including 30% of Fortune 500 banks and credit card companies — already use Terracotta BigMemory Max to speed fraud detection, meet previously unthinkable service level agreements (SLAs), and revolutionize performance around risk analysis, portfolio tracking, and compliance. In this webcast, you'll learn how BigMemory Max can keep ALL of your data in machine memory for instant, anytime access.
Hadoop is sparking a Big Data analytics revolution. But all the Hadoop insights in the world are worth nothing unless they lead to new, profitable action. To translate Hadoop insights into action in real time, more and more enterprises are combining Hadoop with the power of in-memory computing.
Join us as we outline the tremendous benefits of merging Hadoop with in-memory data management, the challenges of doing so, and tips for getting started.
Headquartered in Asia with coverage across the region and beyond, 1cloudstar is a pure-play Cloud Services Provider offering cloud-related consulting and professional services. 1cloudstar brings a deep understanding of what is possible when legacy systems and cloud solutions coexist and we have a clear vision of the digital future toward which this hybrid world is leading us. We combine those insights with our traditional Enterprise IT knowledge to drive innovation and transform complex environments into high-performance engines.
Whether you’re in the early stages of evaluating how the cloud can benefit your business, need guidance on developing a cloud strategy or how to integrate new cloud technology with their existing technology investments, 1cloudstar can leverage the skills and experience gained from many other enterprise cloud projects to ensure you achieve your business objectives.
1cloudstar’s unique strategic approach and engagement model ‘1cloudstar Engage’ combined with it’s cloud infrastructure and application integration skills sets the company apart from traditional technology system integrators. 1cloudstar’s team of consultants can leverage years of technology infrastructure and applications experience along with first hand experience of public, private and hybrid cloud projects to ensure your enterprise journey to cloud is a success.
1cloudstar accelerates the cloud-powered business, helping enterprises achieve real results from cloud applications and platforms.
Learn about recent advances in MongoDB in the area of In-Memory Computing (Apache Spark Integration, In-memory Storage Engine), and how these advances can enable you to build a new breed of applications, and enhance your Enterprise Data Architecture.
Whitepaper-- Speed up your IT infrastructureAbhishek Sood
Network infrastructures are speeding up and your business needs to keep pace. You will not be able to test your network's high-speed performance if you keep hitting traffic jams. Access this white paper to learn how to reduce the limits on your infrastructure to increase overall performance and improve the quality of your storage infrastructure.
Hadoop is sparking a Big Data analytics revolution. But all the Hadoop insights in the world are worth nothing unless they lead to new, profitable action. To translate Hadoop insights into action in real time, more and more enterprises are combining Hadoop with the power of in-memory computing.
Join us as we outline the tremendous benefits of merging Hadoop with in-memory data management, the challenges of doing so, and tips for getting started.
Headquartered in Asia with coverage across the region and beyond, 1cloudstar is a pure-play Cloud Services Provider offering cloud-related consulting and professional services. 1cloudstar brings a deep understanding of what is possible when legacy systems and cloud solutions coexist and we have a clear vision of the digital future toward which this hybrid world is leading us. We combine those insights with our traditional Enterprise IT knowledge to drive innovation and transform complex environments into high-performance engines.
Whether you’re in the early stages of evaluating how the cloud can benefit your business, need guidance on developing a cloud strategy or how to integrate new cloud technology with their existing technology investments, 1cloudstar can leverage the skills and experience gained from many other enterprise cloud projects to ensure you achieve your business objectives.
1cloudstar’s unique strategic approach and engagement model ‘1cloudstar Engage’ combined with it’s cloud infrastructure and application integration skills sets the company apart from traditional technology system integrators. 1cloudstar’s team of consultants can leverage years of technology infrastructure and applications experience along with first hand experience of public, private and hybrid cloud projects to ensure your enterprise journey to cloud is a success.
1cloudstar accelerates the cloud-powered business, helping enterprises achieve real results from cloud applications and platforms.
Learn about recent advances in MongoDB in the area of In-Memory Computing (Apache Spark Integration, In-memory Storage Engine), and how these advances can enable you to build a new breed of applications, and enhance your Enterprise Data Architecture.
Whitepaper-- Speed up your IT infrastructureAbhishek Sood
Network infrastructures are speeding up and your business needs to keep pace. You will not be able to test your network's high-speed performance if you keep hitting traffic jams. Access this white paper to learn how to reduce the limits on your infrastructure to increase overall performance and improve the quality of your storage infrastructure.
Capacity Efficiency: Identifying the Right Solutions for the Right ChallengeHitachi Vantara
Justin Augat, Hitachi Data Systems Senior Product Marketing Manager shares strategies to identify current storage costs, measure the unit cost of data storage, and set preliminary plans to reduce the total cost of storage.
4 Ways To Save Big Money in Your Data Center and Private Cloudtervela
The thirst for real-time access to rich content and big data is turning enterprise datacenters into private computing clouds. However, making exabyte-scale data available and responsive to a global application network gets expensive. Fortunately there are things you can do to save big money in these sophisticated new environments. In this presentation you will learn how to save money, avoid costs, and create significant efficiencies in your private cloud by: Consolidating databases and data warehouses, Slashing big data storage and storage-based data replication , Replacing expensive middleware, and Eliminating cold disaster recovery
Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.
In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.
In a complex database environment, keeping tabs on the health and stability of each system is critical to ensure data availability, accessibility, recoverability, and security. Through performing thousands of health checks for clients, Datavail has identified the top 10 issues affecting SQL Server performance.
From misconfigured memory settings to missing backups, Datavail has gathered evidence from client health check history that identifies the most common issues DBA managers must correct for optimal database performance. Datavail’s SQL Health Check is used not only as a diagnostic tool but also a road map of the work that needs to be performed. From there, routine health checks have proven to improve database performance. SQL Server Senior DBA for Datavail Andy McDermid will share the top 10 issues, the consequences of not taking action, and why consistent use of a SQL Server Health Check in conjunction with ongoing database management can lead to improved database environments and maximize the investment of time and resources.
In this webinar join experts from Storage Switzerland and Tegile to discover if the All-Flash Data Center can become reality. We will explore the return on investment that All-Flash systems can deliver, like increase user and virtual machine densities, lower drive counts and simpler storage architectures. We will also look at some of the methods that All-Flash systems employ to deliver an acceptable cost per GB like thin provisioning, clones, deduplication and compression. Finally we will take one last look at disk, does it have a role in the All-Flash Data Center and if it does what should that role be?
Unstructured data is growing at a staggering rate. It is breaking traditional storage and IT budgets and burying IT professionals under a mountain of operational challenges. Listen as Cloudian and Storage Switzerland discuss panel-style discussion the seven key reasons why organizations can dramatically lower storage infrastructure costs by deploying a hardware-agnostic object storage solution instead of sticking with legacy NAS.
Copy Data Management & Storage Efficiency - Ravi NambooriRavi namboori
In this PPT Ravi Namboori explains how copy data management practices can bring about changes in our workplaces. Creation of more space to operate in is one of its main benefits and also about storage efficiency.
Workload Centric Scale-Out Storage for Next Generation DatacenterCloudian
For performance workloads, SolidFire provides a scale-out all-flash storage platform designed
to deliver guaranteed storage performance to thousands of application workloads side-by-side,
allowing performance workload consolidation under a single storage platform. The SolidFire system
can be combined together over standard networking technologies in clusters ranging from 4 to 100
nodes, providing high performance capacity from 35TB to 3.4PB, and can deliver between 200,000
and 7.5M guaranteed IOPS to more than 100,000 volumes / applications within a single cluster.
Everyone's buzzing about the incredible performance gains from in-memory data management. But how do you move all of your data into RAM while still ensuring enterprise-grade availability, consistency, and control?
Join us as we highlight the benefits of a great in-memory architecture, the challenges of building one, and emerging best practices in the field.
The BigMemory Revolution in Financial ServicesSoftware AG
Dozens of financial institutions — including 30% of Fortune 500 banks and credit card companies — already use Terracotta BigMemory Max to speed fraud detection, meet previously unthinkable service level agreements (SLAs), and revolutionize performance around risk analysis, portfolio tracking, and compliance. In this webcast, you'll learn how BigMemory Max can keep ALL of your data in machine memory for instant, anytime access.
Capacity Efficiency: Identifying the Right Solutions for the Right ChallengeHitachi Vantara
Justin Augat, Hitachi Data Systems Senior Product Marketing Manager shares strategies to identify current storage costs, measure the unit cost of data storage, and set preliminary plans to reduce the total cost of storage.
4 Ways To Save Big Money in Your Data Center and Private Cloudtervela
The thirst for real-time access to rich content and big data is turning enterprise datacenters into private computing clouds. However, making exabyte-scale data available and responsive to a global application network gets expensive. Fortunately there are things you can do to save big money in these sophisticated new environments. In this presentation you will learn how to save money, avoid costs, and create significant efficiencies in your private cloud by: Consolidating databases and data warehouses, Slashing big data storage and storage-based data replication , Replacing expensive middleware, and Eliminating cold disaster recovery
Transaction processing systems are generally considered easier to scale than data warehouses. Relational databases were designed for this type of workload, and there are no esoteric hardware requirements. Mostly, it is just matter of normalizing to the right degree and getting the indexes right. The major challenge in these systems is their extreme concurrency, which means that small temporary slowdowns can escalate to major issues very quickly.
In this presentation, Gwen Shapira will explain how application developers and DBAs can work together to built a scalable and stable OLTP system - using application queues, connection pools and strategic use of caches in different layers of the system.
In a complex database environment, keeping tabs on the health and stability of each system is critical to ensure data availability, accessibility, recoverability, and security. Through performing thousands of health checks for clients, Datavail has identified the top 10 issues affecting SQL Server performance.
From misconfigured memory settings to missing backups, Datavail has gathered evidence from client health check history that identifies the most common issues DBA managers must correct for optimal database performance. Datavail’s SQL Health Check is used not only as a diagnostic tool but also a road map of the work that needs to be performed. From there, routine health checks have proven to improve database performance. SQL Server Senior DBA for Datavail Andy McDermid will share the top 10 issues, the consequences of not taking action, and why consistent use of a SQL Server Health Check in conjunction with ongoing database management can lead to improved database environments and maximize the investment of time and resources.
In this webinar join experts from Storage Switzerland and Tegile to discover if the All-Flash Data Center can become reality. We will explore the return on investment that All-Flash systems can deliver, like increase user and virtual machine densities, lower drive counts and simpler storage architectures. We will also look at some of the methods that All-Flash systems employ to deliver an acceptable cost per GB like thin provisioning, clones, deduplication and compression. Finally we will take one last look at disk, does it have a role in the All-Flash Data Center and if it does what should that role be?
Unstructured data is growing at a staggering rate. It is breaking traditional storage and IT budgets and burying IT professionals under a mountain of operational challenges. Listen as Cloudian and Storage Switzerland discuss panel-style discussion the seven key reasons why organizations can dramatically lower storage infrastructure costs by deploying a hardware-agnostic object storage solution instead of sticking with legacy NAS.
Copy Data Management & Storage Efficiency - Ravi NambooriRavi namboori
In this PPT Ravi Namboori explains how copy data management practices can bring about changes in our workplaces. Creation of more space to operate in is one of its main benefits and also about storage efficiency.
Workload Centric Scale-Out Storage for Next Generation DatacenterCloudian
For performance workloads, SolidFire provides a scale-out all-flash storage platform designed
to deliver guaranteed storage performance to thousands of application workloads side-by-side,
allowing performance workload consolidation under a single storage platform. The SolidFire system
can be combined together over standard networking technologies in clusters ranging from 4 to 100
nodes, providing high performance capacity from 35TB to 3.4PB, and can deliver between 200,000
and 7.5M guaranteed IOPS to more than 100,000 volumes / applications within a single cluster.
Everyone's buzzing about the incredible performance gains from in-memory data management. But how do you move all of your data into RAM while still ensuring enterprise-grade availability, consistency, and control?
Join us as we highlight the benefits of a great in-memory architecture, the challenges of building one, and emerging best practices in the field.
The BigMemory Revolution in Financial ServicesSoftware AG
Dozens of financial institutions — including 30% of Fortune 500 banks and credit card companies — already use Terracotta BigMemory Max to speed fraud detection, meet previously unthinkable service level agreements (SLAs), and revolutionize performance around risk analysis, portfolio tracking, and compliance. In this webcast, you'll learn how BigMemory Max can keep ALL of your data in machine memory for instant, anytime access.
We all love Ehcache. But the rise of real-time Big Data means you want to keep larger amounts of data in memory with low, predictable latency. In this webinar,
we explain how BigMemory Go can turbocharge your Ehcache deployment.
IBM Storage for Financial Services Institutions (1Q 2017)Elan Freedberg
This presentation shows how IBM Storage helps financial services organizations meet the challenges of digital transformation to enhance the customer experience.
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...Kai Wähner
A lot of data grid products are available. TIBCO ActiveSpaces, Oracle Coherence, Infinispan, IBM WebSphere eXtreme Scale, Hazelcast, Gigaspaces, GridGain, Pivotal Gemfire to name most of the important ones. Not SAP HANA!
The goal of my talk was not very technical. Instead, I discussed several different real world use cases and success stories for using in-memory data grids. Here is the abstract for my talk:
NoSQL is not just about different storage alternatives such as document store, key value store, graphs or column-based databases. The hardware is also getting much more important. Besides common disks and SSDs, enterprises begin to use in-memory storages more and more because a distributed in-memory data grid provides very fast data access and update. While its performance will vary depending on multiple factors, it is not uncommon to be 100 times faster than corresponding database implementations. For this reason and others described in this session, in-memory computing is a great solution for lifting the burden of big data, reducing reliance on costly transactional systems, and building highly scalable, fault-tolerant applications.The session begins with a short introduction to in-memory computing. Afterwards, different frameworks and product alternatives are discussed for implementing in-memory solutions. Finally, the main part of this session shows several different real world uses cases where in-memory computing delivers business value by supercharging the infrastructure.
IBM InfoSphere Data Replication for Big DataIBM Analytics
Originally Published on Jul 30, 2014
How do you balance the need for business agility against the real-time availability of essential big data insights, without impacting your mission critical systems? Learn how InfoSphere Data Replication can help enable your big data environment.
agility, big data integration, crm, enterprise warehouse, hadoop, ibm, infosphere, infosphere data replication, real time data integration, real-time, real-time processing and analytics, replication
IBM InfoSphere Data Replication for Big DataIBM Analytics
How do you balance the need for business agility against the real-time availability of essential big data insights – without impacting your mission critical systems? Review this slideshare and learn how InfoSphere Data Replication can help enable your big data environment.
In memory computing principles by Mac Moore of GridGainData Con LA
In the presentation, we will provide an overview of general in-memory computing principles and the drivers behind it. We will start with a summary of the technical drivers (abundant hardware resources) and market forces (the rise of Big Data). We will cover popular and emerging use cases for in-memory computing, from financial industry trading platforms to mobile payment processing, online advertising, online/mobile gaming back-ends and more. We will then present some foundational concepts and terminology, and discuss considerations around any in-memory solution. From there, we will illustrate how a complete in-memory computing stack like GridGain combines clustering, high performance computing, in-memory data grids, stream processing and Hadoop acceleration into one unified and easy to use platform.
IBM Storage at the Incisive Media, IT Leaders Forum with Computing.co.ukMatt Fordham
Presentation I gave at the IT Leaders Forum, covering Cognitive, Hybrid Cloud and Storage as the foundation for data solutions. http://www.computing.co.uk/ctg/news/3007404/storage-still-waiting-for-its-apple-moment
Make from your it department a competitive differentiator for your businessMarcos Quezada
IBM Systems, combining the strengths of IBM middleware and IBM hardware to create a resilient, modern enterprise infrastructure to make from your IT department a competitive differentiator for your business. Infrastructure Matters #ITMatters
Real-Time With AI – The Convergence Of Big Data And AI by Colin MacNaughtonSynerzip
Making AI real-time to meet mission-critical system demands put a new spin on your architecture. To deliver AI-based applications that will scale as your data grows takes a new approach where the data doesn’t become the bottleneck. We all know that the deeper the data the better the results and the lower the risk. However, doing thousands of computations on big data requires new data structures and messaging to be used together to deliver real-time AI. During this session will look at real reference architectures and review the new techniques that were needed to make AI Real-Time.
Elastic Caching for a Smarter Planet - Make Every Transaction CountYakura Coffee
Social Media, mobile devices and new innovative infrastructures mean that more data is being used to serve end-users more than ever before. Enterprise customers must act quickly on data stored across their enterprise. IBM Elastic Caching solutions provide the best opportunity for improving your end-users experience in consuming application data. Every business, of every size, in every Industry needs an effective data caching solution. The industry has moved beyond the bottleneck of CPU processing and must address the growing data bottleneck problems which prevent predictable and cost-effective scalability that directly impacts the performance and throughput of every data-intensive application.
IBM Elastic Caching solutions WebSphere eXtreme Scale and the DataPower XC10 Appliance solve these problems better than the competition. Learn how IBM Elastic Caching solutions have evolved to eliminate enterprise data bottlenecks by elastically distributing data among many resources and allowing applications to efficiently access needed data quickly. We beat our competition by not only allowing our customers flexibility to create mission-critical applications that achieve predictable, scalable performance and high availability, but also extending and integrating IBM Elastic Caching into many IBM products covering Retail/Commerce solutions, Mobile Devices, Content Management, Business Rule Management, ESBs, Messaging and more.
This 30-minute webcast is for IT Architects, Engineers, and CIOs who build and manage globally distributed applications. Learn about the evolving landscape of big data as it relates to mission-critical systems like trading platforms, intelligence networks, logistics, and more. We also cover existing solutions for big data movement including data fabrics.
On May 19, 2020, analyst firm IDC; vendors Intel, MemVerge, Net
App and Penguin Computing; and end-user Credit Suisse, introduced a new category called Big Memory. Big Memory hardware and software together transform scarcity and volatility into abundance, persistence, and high-availability.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
The BigMemory Revolution in Financial Services
1. FEATURED SPEAKERS
The BigMemory Geoff Lunsford
Sales Director, Americas
Terracotta
Revolution in Karthik Lalithraj
Financial Director, Global Technical Services (East)
Terracotta
Services TERRACOTTA WEBCAST SERIES
2. Your speakers for this webcast
Photo Photo
Geoff Lunsford Karthik Lalithraj
Sales Director, Americas Director, Global Technical Services (East)
Terracotta Terracotta
3. Financial services companies have a variety of
Big Data challenges
Big Data is not just analytics!
You have a Big Data problem if you want to
speed up your applications in any of these areas:
– Trade and transaction processing
– Risk mitigation & fraud detection
– Customer service & support
– Portfolio valuation
– Compliance-mandated reporting
But fast access to large volumes of data means
better decisions and increased profitability
3
4. The in-memory revolution: From disks and
milliseconds to RAM and microseconds
90% of Data in 90% of Data in
Database Memory
Memory MODERNIZE
Database
Using an in-memory store with
App Response Time DB-like capabilities:
High Availability
Milliseconds
Persistence
Data Consistency / Coherency
Transactions
Query
…
App Response Time
Microseconds
4
5. Plummeting RAM prices and exploding volumes of
valuable data make real-time Big Data possible
In-Memory Big Data
Maximize inexpensive memory Unlock the value in your data
Explosion in
Steep drop in
volume of
price of RAM
business data
5
6. Terracotta BigMemory powers real-time
Big Data applications across many industries
Fraud detection slashed from Terracotta customers
45 minutes to mere seconds
Media streaming in real time
to millions of devices
Customer service transaction
throughput increased by 100x
Flight reservations load on
mainframes reduced 80%
Highway traffic updates
delivered to millions of global
customers in real time
7. That’s because in-memory computing solves
big challenges facing CIOs
Scale and Decoupling from
Real-time Mainframe
performance databases
Big Data modernization
in the cloud for agility
in-memory data store
8. Financial services firms have been especially
quick to adopt Terracotta BigMemory
30% of Fortune 500 banks use
BigMemory
World’s largest credit card and
online transactions processors use
BigMemory
Most popular financial services use
cases:
– Real-time fraud detection at Big Data scale
– Real-time portfolio valuation at Big Data scale
– Real-time transaction/payment processing at
Big Data scale
8
9. BigMemory lets you use all the RAM available
in your servers, without expensive tuning
Without With
BigMemory BigMemory
Applications can Applications can
store only a few use ALL
GB of data in available RAM
RAM before while achieving
garbage extremely
collection low, predictable
degrades latency at any
performance. scale.
9
10. BigMemory Max is the hub of a new
in-memory architecture for financial services
In-memory Speed
Get low, predictable latency
(microseconds at TB scale)
Simple, Fast to Deploy
Use Java’s defacto Ehcache API
Scale up
Massive Scale
Keep as much data in memory as
your data center can hold
Scale out
Data Consistency Guarantees
Ensure data stays in synch across
the array
Fault-tolerance + Fast Restart
Get 99.999% availability thanks to
mirrors and persistent backup
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12. Fortune 500 online payments processor
Boosting profits through real-time fraud detection
What the company was after
– Tens of millions of dollars in additional profit by improving fraud detection speed and
accuracy (30 cents of every $100 lost to fraud)
Before BigMemory
– Adding one new rule to fraud detection algorithm would save $12 million
annually, but performance at scale only allowed 50 rules
– Company failed to meet 800 millisecond SLA for fraud detection
– Impossible to meet SLA with existing architecture
After BigMemory
– Reduced fraud processing time to less than 500ms
– Thousands of rules added to fraud detection algorithm
– 99.999% completed transactions
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13. Fortune 100 commercial bank
Meeting SLAs for end-of-day trade reconciliation
What they were after
– CIO had to meet 4-hour SLA for end-of-day reconciliations
Before BigMemory
– Unable to process trade reconciliations within 4-hour window
– 240GB of trades, asset prices, etc. kept in slow, disk-bound databases
– End-of-day reconciliation was infamous as the firm’s most unstable and underperforming
application
After BigMemory
– Consistently meeting 4-hour SLA by improving speed by 3x
– Terracotta BigMemory processing 500GBs of trade reconciliations
– Application went from the firm’s most unstable and underperforming to its most stable
and best performing in 3 months
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14. Fortune 20 commercial bank
Delivering collateral automation to 1000s of global clients
What they were after
– With demand rising for collateral automation (real-time re-pricing, re-allocation), the
business wanted to build a new “virtual global longbox” for real-time views of collateral
positions anywhere in the world
Before BigMemory
– Disk-bound database bottlenecks made scaling impossible
– Difficult to pull data from many sources for pricing, allocation and asset recall
– Not possible to scale as needed with existing infrastructure
After BigMemory
– Terracotta Big Memory solution provides real-time access to assets, securities, collateral
across multiple accounts.
– BigMemory keeps 200GB of prices and portfolio data in memory for ultra-fast re-pricing
and allocations
– BigMemory and Quartz allowed the firm to increase volume of collateralized loans and
more effectively complete with competition
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15. BigMemory + Hadoop: Real-time Intelligence
Request
Real-time response
(e.g., "Is this
"Yes" or "No,"
transaction
informed by latest
Fortune 500 fraudulent?"
intelligence
online payments REAL-TIME INTELLIGENCE
REAL-TIME INTELLIGENCE
processor
BigMemory
Working
together, BigMemo
ry and Hadoop are
Hadoop feeds
Hadoop feeds BigMemory feeds
BigMemory feeds
creating a virtuous Long-term,
BigMemory with
BigMemory with Real-time latest
Hadoop with
Hadoopwith latest
cycle for real-time intelligence data
iterative about
intelligence about transactions to
transactions to
in-memory data
intelligence around analysis
fraud patterns
fraud patterns improve intelligence
improve intelligence
fraud detection.
DEEP (SLOW) INTELLIGENCE
DEEP (SLOW) INTELLIGENCE
15
16. What could you do with instant
access to all of your data?
16
18. GET BIGMEMORY
1. Learn more + get your free download:
terracotta.org/bigmemory
2. Contact us:
geoff@terracottatech.com, sales@terracotta.or
g
3. Follow us on Twitter: @big_memory
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