Modern apps and services are leveraging data to change the way we engage with users in a more personalized way. Skyla Loomis talks big data, analytics, NoSQL, SQL and how IBM Cloud is open for data.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
IBM Relay 2015: Cloud is All About the Customer IBM
Debuting new research data, Forrester's John Rymer discusses the rapid growth of "customer-centric" workloads in the cloud and the challenges many organizations have faced with private cloud.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speaker: John Rymer (Analyst, Forrester)
David Cass discusses the role of security and how best practices can be used to accelerate cloud adoption and success.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speaker: David Cass (Vice President, Cloud and SaaS CISO)
Hybrid Cloud Journey - Maximizing Private and Public CloudRyan Lynn
This presentation walks through the elements of private and public cloud and how to start looking at use cases for hybrid cloud architectures. It covers benefits, statistics, trends and practical next steps for your hybrid cloud journey.
Live presentation of some of this content: https://www.youtube.com/watch?v=9_5yJr0HKw4&t=13s
Building Your Own Watson Powered Application on BluemixIBM
Join Chris Madison and Nathan Vega as we explore Watson services on Bluemix and how developers can harness the services to build the most innovative applications to meet their needs.
IBM Relay 2015: Cloud is All About the Customer IBM
Debuting new research data, Forrester's John Rymer discusses the rapid growth of "customer-centric" workloads in the cloud and the challenges many organizations have faced with private cloud.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speaker: John Rymer (Analyst, Forrester)
David Cass discusses the role of security and how best practices can be used to accelerate cloud adoption and success.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speaker: David Cass (Vice President, Cloud and SaaS CISO)
Hybrid Cloud Journey - Maximizing Private and Public CloudRyan Lynn
This presentation walks through the elements of private and public cloud and how to start looking at use cases for hybrid cloud architectures. It covers benefits, statistics, trends and practical next steps for your hybrid cloud journey.
Live presentation of some of this content: https://www.youtube.com/watch?v=9_5yJr0HKw4&t=13s
Building Your Own Watson Powered Application on BluemixIBM
Join Chris Madison and Nathan Vega as we explore Watson services on Bluemix and how developers can harness the services to build the most innovative applications to meet their needs.
Learn more about a new IBM RTP Cloud Foundry Dojo through this quick deck. See why you should be working with IBM and Cloud Foundry at your nearest Dojo. #IBMDojo
A Presentation about Next Generation Infrastructure for Internet of Thing from Mr Sutedjo Tjahjadi, Datacomm Cloud Business Managing Director in Politeknik Negeri Semarang, September 18th, 2016
Software Defined Environment - In one click get the Dev/QA/Staging EnvironmentVenu Murthy
Get the Development, QA, Staging or Production Environment you need at the click of a button.
The current situation:
It wouldn’t be a bold statement to say that all software’s ultimate goal is to enhance the customer experience. How many times have we not read such comments on app stores or heard business say?
“Great app, but I can only give it three stars until the developers add ...”
But the Development team’s side of the story is
“I am waiting for the environment to test the code with new features”
Continuous Delivery and Continuous Integration can help release software updates more frequently and with almost no manual intervention, but there are some bottlenecks to being able to do this. Following are a few: -
Delay in getting the Environments
Lack of self-provisioning creates dependency on IT department.
Lack of easily customizable Environments
For Development, Testing and Staging with new features or updates to dependencies.
Manual Provisioning of Environments
Being repetitive and involving several steps, we would not be able to leverage the power of Automated Deployments and CI.
And the hilarious but unfortunately true risk of
“Oh! But it works on my laptop!”
Not being able to recreate the environments easily and consistently can lead to not being able to recreate performance issues or release code or updates to production confidently!
Inconsistent environments could result in such scenarios as a new update has been released to the production system and the system Admin might have put in the configuration or dependencies that only he or she is aware of to get the app working. Similarly the developer might have put in the unique settings on his or her laptop to get the code working on his or her workstation or laptop. Due to which every server becomes “works of art” and as unique as snowflakes. Needless to say inconsistent environments make it very difficult to determine why an application breaks when it's promoted to the next environment. Wasting the Developer and Operation teams time in determining if an issue is due to the source code or environment configuration.
What is an Environment?
It is not just an image or template of a virtual machine but all the compute, storage, network and several other resources (XaaS) that are required to host your application. Quite simply put, everything you can find inside the server room!
Environments on Demand at the click of a button
A solution that could give the Development, QA, Staging or Production Environment at the click of a button could remove all the bottlenecks and risks that we had discussed earlier and at the same time orchestrate Software-Defined Compute, Networking, Storage, Security and such to provide a smart infrastructure that is aware of resources needed by the application and is adaptive and responsive to the workloads dues to fluctuating business demand. All this while being easy to customise and simple
Research from EMA shows that most organizations benefit from their use of automation tools, but some are successful at more than just improved productivity and a reduction in errors. The most successful organizations create a culture of automation and get the most out of the tools they use.
These slides—based on the webinar featuring Dan Twing, President and COO of leading IT research firm EMA--outline what traits set the successful organizations apart from the less successful ones, as well as:
- How organizations organize the scheduling function and the teams that manage the workload automation software
- The sources of budgets and authority, and the extent of evangelizing automation
- The ongoing impact of increasing use of multi-cloud resources as more legacy production work is moved to cloud infrastructures
The introduction of cloud computing and cloud sourcing requires an appropriate cloud governance strcuture to ensure a secured computing environment and to comply with all relevant organizational information technology policies. As such, organizations need a set of cloud governance capabilities that are essential when effectively implementing and managing cloud services.
Extending open source and hybrid cloud to drive OT transformation - Future Oi...John Archer
A look at ESG concerns and agility needed to address pressures to transform energy organizations with decarbonization. Presented to Future Oil and Gas conference November 2021
ICP for Data- Enterprise platform for AI, ML and Data ScienceKaran Sachdeva
IBM Cloud Private for Data, an ultimate platform for all AI, ML and Data Science workloads. Integrated analytics platform based on Containers and micro services. Works with Kubernetes and dockers, even with Redhat openshift. Delivers the variety of business use cases in all industries- FS, Telco, Retail, Manufacturing etc
In this session we talk about how IBM Services and Research have partnered to apply new approaches to migration including AI planning, pattern-driven automation and machine learning to simplify the migration process—from the pre-migration assessment phase to pattern-driven automation of the execution.
Steve Robinson discusses how clients are taking advantage of cloud and cognitive computing to build a new generation of apps and services that are deepening the way people interact with technology.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speakers
Steve Robinson (General Manager, Cloud Platform Services, IBM Cloud)
Cognitive Demo
Ram Vennam (IBM Bluemix Developer Advocate)
Damion Heredia (VP of Product Management and Design, IBM Bluemix and Marketplace)
Key features of Using Service Discovery and Service Proxy:
*Automated registration of microservices
*Find microservices by logical name
*Supports broad multiple APIs including Eureka
Learn more about a new IBM RTP Cloud Foundry Dojo through this quick deck. See why you should be working with IBM and Cloud Foundry at your nearest Dojo. #IBMDojo
A Presentation about Next Generation Infrastructure for Internet of Thing from Mr Sutedjo Tjahjadi, Datacomm Cloud Business Managing Director in Politeknik Negeri Semarang, September 18th, 2016
Software Defined Environment - In one click get the Dev/QA/Staging EnvironmentVenu Murthy
Get the Development, QA, Staging or Production Environment you need at the click of a button.
The current situation:
It wouldn’t be a bold statement to say that all software’s ultimate goal is to enhance the customer experience. How many times have we not read such comments on app stores or heard business say?
“Great app, but I can only give it three stars until the developers add ...”
But the Development team’s side of the story is
“I am waiting for the environment to test the code with new features”
Continuous Delivery and Continuous Integration can help release software updates more frequently and with almost no manual intervention, but there are some bottlenecks to being able to do this. Following are a few: -
Delay in getting the Environments
Lack of self-provisioning creates dependency on IT department.
Lack of easily customizable Environments
For Development, Testing and Staging with new features or updates to dependencies.
Manual Provisioning of Environments
Being repetitive and involving several steps, we would not be able to leverage the power of Automated Deployments and CI.
And the hilarious but unfortunately true risk of
“Oh! But it works on my laptop!”
Not being able to recreate the environments easily and consistently can lead to not being able to recreate performance issues or release code or updates to production confidently!
Inconsistent environments could result in such scenarios as a new update has been released to the production system and the system Admin might have put in the configuration or dependencies that only he or she is aware of to get the app working. Similarly the developer might have put in the unique settings on his or her laptop to get the code working on his or her workstation or laptop. Due to which every server becomes “works of art” and as unique as snowflakes. Needless to say inconsistent environments make it very difficult to determine why an application breaks when it's promoted to the next environment. Wasting the Developer and Operation teams time in determining if an issue is due to the source code or environment configuration.
What is an Environment?
It is not just an image or template of a virtual machine but all the compute, storage, network and several other resources (XaaS) that are required to host your application. Quite simply put, everything you can find inside the server room!
Environments on Demand at the click of a button
A solution that could give the Development, QA, Staging or Production Environment at the click of a button could remove all the bottlenecks and risks that we had discussed earlier and at the same time orchestrate Software-Defined Compute, Networking, Storage, Security and such to provide a smart infrastructure that is aware of resources needed by the application and is adaptive and responsive to the workloads dues to fluctuating business demand. All this while being easy to customise and simple
Research from EMA shows that most organizations benefit from their use of automation tools, but some are successful at more than just improved productivity and a reduction in errors. The most successful organizations create a culture of automation and get the most out of the tools they use.
These slides—based on the webinar featuring Dan Twing, President and COO of leading IT research firm EMA--outline what traits set the successful organizations apart from the less successful ones, as well as:
- How organizations organize the scheduling function and the teams that manage the workload automation software
- The sources of budgets and authority, and the extent of evangelizing automation
- The ongoing impact of increasing use of multi-cloud resources as more legacy production work is moved to cloud infrastructures
The introduction of cloud computing and cloud sourcing requires an appropriate cloud governance strcuture to ensure a secured computing environment and to comply with all relevant organizational information technology policies. As such, organizations need a set of cloud governance capabilities that are essential when effectively implementing and managing cloud services.
Extending open source and hybrid cloud to drive OT transformation - Future Oi...John Archer
A look at ESG concerns and agility needed to address pressures to transform energy organizations with decarbonization. Presented to Future Oil and Gas conference November 2021
ICP for Data- Enterprise platform for AI, ML and Data ScienceKaran Sachdeva
IBM Cloud Private for Data, an ultimate platform for all AI, ML and Data Science workloads. Integrated analytics platform based on Containers and micro services. Works with Kubernetes and dockers, even with Redhat openshift. Delivers the variety of business use cases in all industries- FS, Telco, Retail, Manufacturing etc
In this session we talk about how IBM Services and Research have partnered to apply new approaches to migration including AI planning, pattern-driven automation and machine learning to simplify the migration process—from the pre-migration assessment phase to pattern-driven automation of the execution.
Steve Robinson discusses how clients are taking advantage of cloud and cognitive computing to build a new generation of apps and services that are deepening the way people interact with technology.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speakers
Steve Robinson (General Manager, Cloud Platform Services, IBM Cloud)
Cognitive Demo
Ram Vennam (IBM Bluemix Developer Advocate)
Damion Heredia (VP of Product Management and Design, IBM Bluemix and Marketplace)
Key features of Using Service Discovery and Service Proxy:
*Automated registration of microservices
*Find microservices by logical name
*Supports broad multiple APIs including Eureka
IBM Relay 2015: New Data Sources, New Value. Watson, Weather and Beyond IBM
This discussion led by Michael Karasick delves into how data from weather, sensors, text and images can be used to change the way apps interact with users and machines.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Hear Ryan Millay, IBM Cloudant software development manager, discuss what you need to consider when moving from world of relational databases to a NoSQL document store.
You'll learn about the key differences between relational databases and JSON document stores like Cloudant, as well as how to dodge the pitfalls of migrating from a relational database to NoSQL.
Mobile web apps shouldn't stop working when there's no network connection. Offline-enabled apps built using PouchDB can provide a better, faster user experience while potentially reducing battery and bandwidth usage.
Hear from Developer Advocate Glynn Bird to find out how to use the HTML5 Offline Application Cache, PouchDB, IBM Cloudant and Cordova/PhoneGap to develop fully-featured and cross-platform native apps and responsive mobile web apps that work just as well offline as they do online.
IBM Cloudant describe the geospatial tools used in their database-as-a-service offering (DBaaS). Based upon Apache CouchDB, the geospatial extensions used by IBM Cloudant rely on a number of well known open source libraries to provide geospatial indexing, query and projection support to Apache CouchDB. Discussion topics include:
- Overview of the architecture & tools
- Best practices for building geospatial apps with NoSQL doc stores
- Use cases for leveraging geospatial capabilities of a NoSQL doc store
In the world of NoSQL, each database has its own strengths and weaknesses. Understanding which open source database is "the right tool for the job" is half the battle if you want to start building better applications quickly. IBM developer advocate Glynn Bird explores practical examples of how two popular NoSQL databases - the Cloudant JSON document store and the Redis in-memory key-value store - can be used together to create performant and scalable Web applications. It also includes real world use cases you can try today, for free, using the IBM Cloud Data Services suite of fully managed NoSQL databases-as-a-service.
Our March 2, 2016 event featured Billy Beane, Executive Vice President of Baseball Operations at the Oakland As and Derek Schoettle, GM of Analytics Platform Services at IBM. Billy and Derek shared their experiences of how professional sports teams and businesses alike are gaining hidden insights and competitive advantages by using the latest data discovery techniques and platforms.
We interviewed thirty of today's top thinkers in artificial intelligence to get a glimpse of what's coming next - the direction technology and applications will take over the next ten years.
Every day, 50,000 flights take off, transit and land safely within US airspace. NASA Aeronautics is behind many of the technology concepts that make this possible. With drones proliferating and traffic volume rising rapidly, NASA needs a way to stay ahead of the curve. In this session, you will learn how IBM Bluemix quickens NASA's pace in air traffic management research, and hear three lessons learned from a recent NASA project using Bluemix Mobile and Bluemix Data Analytics.
Moving your business to the cloud helps you focus on your customers and bring new offerings to market in hours instead of months. Yet the journey to the cloud is often bumpy, with half of all migration projects failing.(*1)
Learn the top 5 pitfalls to avoid.
(*1. Worldwide Cloud Infrastructure Services Market Share, Q3 2015)
While many enterprises consider cloud computing the savior of their data strategy, there is a process they should be following when looking to leveraging database-as-a-service. This includes understanding their own data requirements, selecting the right cloud computing candidate, and then planning for the migration and operations. A huge number of issues and obstacles will inevitably arise, but fortunately best practices are emerging. This presentation will take you through the process of moving data to cloud computing providers.
SMAC - Social, Mobile, Analytics and Cloud - An overview Rajesh Menon
In this presentation, all the aspects of SMAC are covered in as much detail as possible. You will find some ideas worth sharing and also get attuned to Social, Mobile, Analytics and Cloud
Webinar - Delivering Enhanced Message Processing at Scale With an Always-on D...DataStax
Managing 3.8 million e-prescriptions daily for more than 1 million healthcare professionals is no small feat. And, with rapid growth in the number of digital transactions and expansion of its network, Surescripts needed to replace its legacy relational database system to address a new set of data management challenges while meeting their customers’ demanding SLAs. Join us for this on-demand webinar to hear from Keith Willard, Chief Architect at Surescripts, to learn how and why Surescripts leverages DataStax Enterprise to deliver enhanced message processing at scale.
View recording: https://youtu.be/1T6V1XAoaJQ
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Introduces the Microsoft’s Data Platform for on premise and cloud. Challenges businesses are facing with data and sources of data. Understand about Evolution of Database Systems in the modern world and what business are doing with their data and what their new needs are with respect to changing industry landscapes.
Dive into the Opportunities available for businesses and industry verticals: the ones which are identified already and the ones which are not explored yet.
Understand the Microsoft’s Cloud vision and what is Microsoft’s Azure platform is offering, for Infrastructure as a Service or Platform as a Service for you to build your own offerings.
Introduce and demo some of the Real World Scenarios/Case Studies where Businesses have used the Cloud/Azure for creating New and Innovative solutions to unlock these potentials.
Fueling AI & Machine Learning: Legacy Data as a Competitive AdvantagePrecisely
The data fueling your AI or machine learning initiatives plays a critical role. Different data sources provide different outcomes. The most important thing a business can do to prepare for success with AI and machine learning is to understand and provide access to all of the data that you can possibly get to. In addition to newer data sources, like IoT and Social Media, what will set your results apart – and give your business a competitive advantage – is powering AI and machine learning with your historical and proprietary data: the data sitting in your mainframe, legacy, and other traditional systems.
View this on-demand webcast with Wikibon Analyst James Kobielus as we discuss:
• Using your historical customer data to train predictive AI/ML models for effective target marketing
• Leveraging social, mobile, and IoT data to give your marketing an extra level of personalization
• Making the most of your legacy and proprietary data while protecting customer privacy and ensuring regulatory compliance
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Fealty has 16 years of experience and passion for software development and learning new technologies as well as designing software systems using spiral and agile software development in Java, AWS Cloud, GCP, JavaScript, React.js, and Node.js, Go Lang, Python Flask, Django, AI/ML and full stack design and development for Constrained Devices, Gateways, Cross Stack Functionality, and IOT Cloud Platforms. We have ability to deliver secure and scalable application using containerization like Docket and Kubernetes.
We have team of 25+ passionate software engineers. We are able to expand 100+ if required by project.
Accelerate Cloud Migrations and Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3N46zxX
Cloud migration brings scalability and flexibility, and often reduced cost to organizations. But even after moving to the cloud, more often than not, organizational data can be found to be siloed, hard to access and lacking centralized governance. That leads to delay and often missed opportunities in value creation from enterprise data. Join Amit Mody, Senior Manager at Accenture, in this keynote session to learn why current physical data architectures are hindrance to value creation from data, what is a logical data fabric powered by data virtualization and how a logical data fabric can unlock the value creation potential for enterprises.
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and Data Architecture. William will kick off the fourth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Choosing technologies for a big data solution in the cloudJames Serra
Has your company been building data warehouses for years using SQL Server? And are you now tasked with creating or moving your data warehouse to the cloud and modernizing it to support “Big Data”? What technologies and tools should use? That is what this presentation will help you answer. First we will cover what questions to ask concerning data (type, size, frequency), reporting, performance needs, on-prem vs cloud, staff technology skills, OSS requirements, cost, and MDM needs. Then we will show you common big data architecture solutions and help you to answer questions such as: Where do I store the data? Should I use a data lake? Do I still need a cube? What about Hadoop/NoSQL? Do I need the power of MPP? Should I build a "logical data warehouse"? What is this lambda architecture? Can I use Hadoop for my DW? Finally, we’ll show some architectures of real-world customer big data solutions. Come to this session to get started down the path to making the proper technology choices in moving to the cloud.
The Practice of Big Data - The Hadoop ecosystem explained with usage scenarioskcmallu
What's the origin of Big Data? What are the real life usage scenarios where Hadoop has been successfully adopted? How do you get started within your organizations?
Enabling Next Gen Analytics with Azure Data Lake and StreamSetsStreamsets Inc.
Big data and the cloud are perfect partners for companies who want to unlock maximum value from all of their unstructured, semi-structured, and structured data. The challenge has been how to create and manage a reliable end-to-end solution that spans data ingestion, storage and analysis in the face of the volume, velocity and variety of big data sources.
In this webinar, we will show you how to achieve big data bliss by combining StreamSets Data Collector, which specializes in creating and running complex any-to-any dataflows, with Microsoft's Azure Data Lake and Azure analytic solutions.
We will walk through an example of how a major bank is using StreamSets to transport their on-premise data to the Azure Cloud Computing Platform and Azure Data Lake to take advantage of analytics tools with unprecedented scale and performance.
Weet u nog waar uw bedrijfsdata zich bevindt? Uw data bevindt zich (straks) overal. In samenwerking met Commvault laten we zien, hoe uw organisatie ‘in control’ kan blijven over én meerwaarde kan geven aan uw data ongeacht of deze zich on-premise, in de cloud of op een end-user device bevindt.
Presentatie 9 juni 2016
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014Amazon Web Services
The US government has built hundreds of applications that must be refactored to task advantage of modern distributed systems. This session discusses EzBake, an open-source, secure big data platform deployed on top of Amazon EC2 and using Amazon S3 and Amazon RDS. This solution has helped speed the US government to the cloud and make big data easy. Furthermore this session discusses critical architecture design decisions through the creation of the platform in order to add additional security, leverage future AWS offerings, and cut total operations and maintenance costs.
Sponsored by CSC
AI is no longer the technology of the future; it's today's reality. The Cognitive Era is booming with new technology, inspiring all kinds of innovation and disruption. This is the most exciting time to be a developer. To achieve leadership in this space will mean harnessing the power of cognitive computing to redefine the way we approach today's business, world, and human challenges. In this deck, learn how IBM is empowering developers to solve these problems—smarter, faster, together. Video here: https://ibm.co/2r8IX3q
Cloud is not a piece of technology. Cloud is an experience, an SLA and an API. In this session, Tim, Jeff and Jesse will discuss new ways of delivering cloud as-a-service, but within the enterprise data center.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Speakers:
Damion Heredia (VP of Product Management and Design IBM Bluemix and Marketplace)
Tim Vanderham (VP Cloud Platform Services Development, IBM)
Jeff Brent (Technical Product Manager - IBM Cloud)
Jesse Proudman (CTO, Blue Box)
Want to integrate MongoDB into your Cloud Foundry App? Learn exactly how to do that with Bluemix Developer Advocate Jake Peyser! Follow him @Jakepeyser.
Why are women developers so important? Learn more about the increasing opportunities for women in the IT industry from distinguished engineer Erin Murphy, thought leader at IBM.
Build Scalable Internet of Things Apps using Cloud Foundry, Bluemix & CloudantIBM
5 billion people vs 50 billion devices connected to the Internet by 2025 - How can we build application to handle this explosive growth in Internet of Things using Cloud Foundry, Bluemix and Cloudant
Using Watson to build Cognitive IoT Apps on BluemixIBM
Learn how IBM Watson is allowing developers to build cognitive applications in the IBM Cloud. Using the IoT foundation and Watson, the future of connected devices is staying connected in a cognitive way with smarter apps and smarter devices.
Introduction: Watson Services on IBM Bluemix Webcast IBM
Interested in building cognitive apps with IBM Watson on IBM Bluemix? Check out the replay of our Watson webcast available now on IBM Bluemix. Learn how to create a cognitive ecosystem and more.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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:
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.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
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
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/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. text
Data is the new basis of
competitive advantage
Leaders will leverage data to:
Drive business outcomes Capture the time value of data Change the game
by applying more sophisticated
analytics across more disparate
data sources in more parts of
their organization
by developing “speed of insight”
and “speed of action” as core
differentiators
in their industry and
profession by infusing
analytics into everything
employees touch.
3. text
Imagine the possibilities of analyzing all available data
Real-time traffic
flow optimization
Fraud & risk
detection
Understand and act on
customer sentiment
Accurate and timely
threat detection
Predict and act on
intent to purchase
Low-latency network
analysis
6. text
Why make IBM your cloud data standard
Most Complete Portfolio
• Champions of leading edge of
technology
• Deep ties to open source
• Backed by IBM technology
leadership
• Fully managed 24 x 7
Integrated Experience
• Seamless integrations
• Unique product bundling
• Provides cost efficiency
• Reduces time to market
• Comprehensive portfolio for end-
to-end app development
Deployment Flexibility
• Industry leading support for
hybrid deployments
• No cloud lock-in
• Pay-as-you-go
• Secure infrastructure
• Bare metal and virtualized
performance
MISSION
To help people transform business & society by being the
best place to build apps and gain new insights better and
faster.
7. text
We are addressing the needs of new and traditional clients
Web & Mobile Enterprise
Demand for IBM Cloud Data Services growing by thousands of new developers per week
100s of Paying Customers 300% Growth Y2Y 50,000+ Users
8. text
Understand your requirements
• Data
What kind of data are you managing, storing, transmitting or processing?
Is any of your data highly regulated?
What would happen if a loss occurred?
Best suited for NoSQL, traditional RDMS, big data, cognitive, or a combination?
Existing enterprise data, new data generated by application, or both?
Where do you need your data stored?
What are your scalability (data storage, concurrent user) requirements likely to grow to?
9. text
Understand your requirements
• Data
What kind of data are you managing, storing, transmitting or processing?
Is any of your data highly regulated?
What would happen if a loss occurred?
Best suited for NoSQL, traditional RDMS, big data, cognitive, or a combination?
Existing enterprise data, new data generated by application, or both?
Where do you need your data stored?
What are your scalability (data storage, concurrent user) requirements likely to grow to?
• Application
What is your application maturity and pace of change?
Primarily transactional or engagement-focused?
Primarily web, mobile, both?
Is this a new style or type of application? How much of your application platform do you already have in house for what you want to do?
How important is availability?
10. text
Understand your requirements
• Data
What kind of data are you managing, storing, transmitting or processing?
Is any of your data highly regulated?
What would happen if a loss occurred?
Best suited for NoSQL, traditional RDMS, big data, cognitive, or a combination?
Existing enterprise data, new data generated by application, or both?
Where do you need your data stored?
What are your scalability (data storage, concurrent user) requirements likely to grow to?
• Application
What is your application maturity and pace of change?
Primarily transactional or engagement-focused?
Primarily web, mobile, both?
Is this a new style or type of application? How much of your application platform do you already have in house for what you want to do?
How important is availability?
• Company
What is your team’s core competency? What do you want your team spending time on?
Do you already own data centers? Do you have a global presence?
Do you have strong operational experience and a devops culture?
What’s your risk tolerance? How quickly does your team generally adopt new technology trends?
11. text
CDS offers the most complete portfolio of data
& analytics services on the planet
13. text
And aggressive investments via acquisition
• On July 23, IBM acquired privately-held Compose, based in San Mateo, CA
• Compose extends IBM Cloud Data Services portfolio with 5 new open
source DBaaS offerings
• DBaaS makes it easier for developers to build and grow web and mobile
apps
• Acquisition further positions IBM Bluemix as *the platform* for data &
analytics, with the broadest set of data services
• Compose technology will accelerate the creation of future CDS offerings
Acquisition Highlights
IBM has acquired Compose, which provides MongoDB, Redis, Elasticsearch, PostgreSQL, and
other open source databases as a service (DBaaS) for web and mobile applications
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More data centers, in more countries, than any other
cloud provider
SoftLayer AWS
• “Bare-metal” and virtualized performance
• Faster, more consistent so you can do more
• Open, secure, and scalable
• Secure, high-speed network
• 40 data centers worldwide
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Varying levels of service & deployment options to meet
unique users and data requirements
Software
• Select, purchase,
provision and operate
hardware & software
• Complete control of
every operating
parameter
Appliance
• Expertly engineered
hardware & software
• Customer responsible
for operation
• Fixed configuration =
less control
Cloud Image
• Expertly engineered
cloud configurations
• IaaS manages
hardware
• Customer has full
control over software &
operation
Managed
Service
• IBM operates service
and controls everything
• IBM delivers on SLA
• Customer concerns
only with data
control simplicity
Customer Data Center (On-Premise) Cloud Data Center (Off Premise)
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Flexible deployment and pricing options enable users to maximize cost
efficiency, control, and performance
– Bringing technology and data to you and your users
– Your data platform changes over time to
• Optimize cost, compliance, performance
– A data layer must adapt
• No cloud lock in
• Public cloud
• Private cloud
• Hybrid cloud
– IBM cloud data services are fluid
• Move or extend your data layer across different private or
public cloud data centers
• Without service interruption
• Without re-coding
SoftLayer US
SoftLayer
UK
SoftLayer
Canada
Your Data Center
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More on a few of our IBM Cloud Data Service offerings
Cloudant dashDB
BigInsights on
Cloud
DB2 on Cloud
Analytics for
Apache Spark
DataWorks
Operational Data
Store
Analytic Data
Warehouse
Hadoop in the
Cloud
Hosted Database
in the Cloud
Fully managed
Spark
Hybrid Data
Movement &
Curation
• Global data distribution
• Massively scalable
• Eventually consistent
data model
• Built for mobile,
Systems of
Engagement
• SQL interface
• MPP
• ACID compliance
• Columnar, in-memory
performance
• BLU augmented with
NZ in-DB analytics
• Bare metal
performance
• Build on reference
architecture
• BigInsights enterprise
features
• Power of DB2
• Fast Provisioning
• Flexible pricing
• No loss of DBA control
• Built for Systems of
Record
• In-memory application
framework for data
processing and
analysis
• Built-in machine
learning
• Elastic scaling
• Build on Spark
• High Performance,
Elastic compute, auto
provisioned
• Secure access to On-
Prem data
• Interactive shaping &
batch execution
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Supporting Applications at Web Scale
Cloudant helps make your web and mobile applications more scalable and more
available to users wherever they are.
• Operational JSON NoSQL data store
• RESTful CouchDB API
• Advanced APIs
• Replication & Sync
• Incremental MapReduce
• Geospatial
• Lucene Full-text Search
• Scalable, Highly Available Performance with cross-data
center data distribution
& fail over
• Geo load balancing
• Offline access to the data
• Available as a fully managed cloud service and an on-
premises software product – enabling hybrid
deployments
IBM Cloudant
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The combination of Cloudant’s advanced geospatial capabilities, security, and managed service give
Comdata a competitive advantage in terms of the experience they can deliver to their end users
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A Large Investment Research & Management Firm: needed a persistent data store to maintain
and access financial analytical reports
Cloudant’s schema-less architecture and horizontal scalability enables their users users to have
real-time access to reports and analytics generated by IBM PureData for Analytics
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Use Case: Investment Research & Management Firm
Company Background:
Global Investment & financial services research firm.
Need:
Provide real-time access to data for a new system of engagement application
for accessing and visualizing reports from Netezza through a custom API.
Success Criteria:
• Support for high volume of user concurrency – something a warehouse
environment like Netezza cannot provide
• Integration with other IBM products – like Netezza
Solution & Results:
• Schema-less architecture enables the ability to store the data without
needing a schema definition prior to inserting the data from Netezza.
• Does not require time consuming schema changes when different data
must be captured and processed
• With Cloudant, the firm is transforming how their users access data
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Supporting Applications at Web Scale
Fast, fully managed, cloud data warehouse that leverages integrated analytics to deliver answers as
fast as you can think. dashDB’s unique
built-in analytics, R predictive modeling and business intelligence tools
free you to analyze your data to get precise insights, quicker.
Built-in performance with in-memory technology
Predictive modeling built into the database (linear
regression, k-means clustering, Esri compatible, and more)
Works with an ecosystem of apps and tools
Integrated security and maintenance
Scalable as your data sizes grow
IBM dashDB
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The Red 10 is a data-driven marketing analytics firm in the UK. With dashDB, they are able to provide real-time
analytics and updates to give an accurate view to the audiences
With dashDB, they can provide 1) a live view of the UK&I markets, 2) new segmentation based on live contact
views, 3) an instant view of all relevant information, and 4) the right message, at the right time, through the right
medium.
This enables growth for less and increased conversion across the sales funnel for their clients.
Use Case
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The Red 10 - Overview
– Use case: The Red 10 is a data-driven marketing analytics company that
works with 150 million items of data & 7 million records from over 1 million
companies from over 1,000 sources.
– Offerings:
• DashDB for their data warehouse analytics platform.
• Also actively looking to use Cloudant as a NoSQL database
– Why dashDB?
• Small analytics & data team – need to stay focused on their 1,000+
condition queries and driving value for their clients. Stay focused on
providing the analytics, with IBM experts managing the environment
• Provided fast time to value – customer was essentially sold after a
month of working with our team
• No capex budget – needed to leverage opex cloud economics
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Use Case: Cloud Analytics for Web & Mobile
Build an app and analyze usage to:
• Understand user behavior
• Increase monetization
Millions of users transact with Cloudant via REST
Off-line mobile data access enabled by Cloudant Sync
Perform analytics with dashDB
• Data is continuously synched
with Cloudant
• Accessed by BI Tools such as Watson Analytics via
Dataworks
Data
Center 2
(Active DR)
Continuous, filtered
replication & sync
Continuous, filtered
replication & sync
Cloudant Sync
(iOS & Android)
dashDB
data mart
Continuous sync
Dataworks
BI Tool
User
HTTPS
HTTPS
HTTPS
Data
Center 1
(Active DR)
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Supporting Applications at Web Scale
Provision enterprise-scale, multi-node clusters on the cloud to meet your business needs. Access
your provisioned clusters for simple database transactions, to augment your data warehouse, or to
perform rich analytics. With BigInsights on Cloud, our clients can manage less and analyze more.
For Production and POC deployments at scale in the cloud
Delivers flexibility and efficiency with subscription pricing
Scales to meet spikes in demand without on-premise infrastructure
Drives enterprise-class, complex analytics on Big Data sets
Available via the IBM Cloud Marketplace and Bluemix
IBM BigInsights on Cloud
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28. text Company Background:
A globally distributed $10+ billion pharmaceutical company
Need:
• An analytics platform to execute against a time-sensitive project focused on the benefits of a pharmacological treatment of obesity
• Analysis to be performed on Electronic Medical Records (EMR) data that the organization owns, but cannot fully analyze given
system constraints.
Success Criteria:
• Apply big data technologies and analytical techniques without having to manage an analytical environment on-premises.
• Gain the necessary insights regarding the relevance of pharmacological treatment of obesity, which would allow the organization to
build an economic model for obesity treatments.
Solution & Results:
• The environment was provisioned and made available to the customer in less than 48 hours to begin executing against the project
• An analysis to inform discussion about the relevance of pharmacological treatment of obesity,
and to obtain costs estimates to build an economic model for obesity treatments.
Use Case: Pharmaceutical Company
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Supporting Applications at Web Scale
Benefits include:
• Convenience without the loss of control on cost effective infrastructure
• 4 high performance hardware configurations & 2 database software tiers to match capability and
affordability needs
• Native encryption support configurable to ensure data remains secure in the cloud
IBM DB2 on Cloud
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Provides a DB2 RDBMS that is:
• Provisioned via Bluemix
• Hosted on IBM SoftLayer cloud platform virtual private nodes (not shared)
• Administered by the customer DBA
• Has an aggressive pricing model to take out competition (paid on a month-to-month basis via
subscription model)
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Supporting Applications at Web Scale
What you get
• Access to Spark’s next-generation performance and capabilities, including built-in machine learning and other libraries
• Pay only for what you use
• No lock-in – 100% standard Spark runs on any standard distribution
• Elastic scaling – start with experimentation, extend to development and scale to production, all within the same environment
• Quick start – service is immediately ready for analysis, skipping setup hurdles, hassles and time
• Peace of mind – fully managed and secured, no DBAs or other admins necessary
IBM Analytics for Apache Spark
Spark is an open source in-memory application framework for distributed data processing and
iterative analysis on massive data volumes
31. text
Why make IBM your cloud data standard
Most Complete Portfolio
• Champions of leading edge of
technology
• Deep ties to open source
• Backed by IBM technology
leadership
• Fully managed 24 x 7
Integrated Experience
• Seamless integrations
• Unique product bundling
• Provides cost efficiency
• Reduces time to market
• Comprehensive portfolio for end-
to-end app development
Deployment Flexibility
• Industry leading support for
hybrid deployments
• No cloud lock-in
• Pay-as-you-go
• Secure infrastructure
• Bare metal and virtualized
performance
MISSION
To help people transform business & society by being the
best place to build apps and gain new insights better and
faster.
Even a simple analytics project has multiple steps and people. Projects require multiple steps like accessing and obtaining data. Business units and individuals from IT and departmental analysts are needed to manage and prepare trusted and governed data sources. Providing this data to Analysts takes time and resources. Validation of this data is critical to avoid errors and poor decision making before the data is used by many to collaborate on the actual intent of the data itself before it is reported. If the data is wrong then the reporting will be wrong and decisions will be inadequate.
Developers of all types and sizes, in many industries are using IBM’s Cloud Data Services…for new mobile app development, for analytics and data warehouse modernization, and other applications.
As a follow on to this meeting, we can see if we have specific customers that match your industry and or use case.
Let’s look at why they’re choosing to build with IBM Cloud Data Services….
IBM cloud services aren’t solely based on IBM proprietary technology.
Many of our offerings are built using open-source technologies like the ones listed here, among others. This allows us to innovate faster, and makes it easy for you to recruit technical talent; because many of these open source projects have large communities of developers from which you can hire. And for the developers you already employ, IBM’s leverage of open source technology helps you enrich their skillsets with the technologies they’re eager to learn.
IBM also contributes back to open source projects. For example, we employ the largest number of Apache CouchDB project committers.
1. 5 new, immensely popular open source DBaaS offerings
2. Technology will make it possible to accelerate our roadmap – w, containerized…
Further reinforces that Bluemix is where you go for data…
In order to meet your budgetary and service level agreement goals, cloud platform performance and availability it critically important.
IBM’s cloud data services run on IBM SoftLayer’s “bare-metal” cloud platform. Benchmarks by IBM and other database companies have shown time and again that IBM SoftLayer is a better platform for data management workloads than virtualized cloud platforms like AWS and Azure. Faster throughput, lower latency, and more consistent performance.
This saves you money; at say 5x better throughput, you only have to provision say 3 database server nodes instead of 15; or 6 instead of 30…
Open, secure, and scalable
Cloud infrastructure-as-a-service choices
On-premises private cloud and systems
Global cloud footprint
Secure, high-speed network
Expert services and tools
40 global cloud centers
Secure integration to on-premises systems
CDS has on-prem versions of each of these offerings. One thing you can be sure of, is that your data layer will change over time.
As data management performance, security, and regulatory requirements change, you’re likely to want to run data services on private, public, or hybrid cloud plaform configurations that change over time.
IBM’s cloud services are built with this data layer flexibility and fluidity in mind. As your needs change, we can move your data layer components between or across any of the 40+ IBM SoftLayer data centers worldwide, or your private cloud platforms to accommodate your changing needs. Usually done without downtime, or re-coding.
And with on-premise editions of all our cloud data services, you’re never locked into the cloud; you can move easily between on premise or cloud with IBM
IBM offers an extensive and highly differentiated set of cloud data services for handling a variety of workloads:
Application development…especially good for mobile apps – Cloudant NoSQL operational data store
Analytics services – of structured and unstructured data – dashDB
Deep analytics on Hadoop – BigInsights on Cloud.
Hosted Database in the Cloud – DB2 on Cloud
All fully managed for you, integrated via the IBM Bluemix PaaS for ease of use and development, and running on IBM SoftLayer’s cloud with its bare-metal performance advantages.
Let’s take a deeper look into the individual services.
Cloudant is IBM’s NoSQL operational data store on the cloud. We’re the innovator of the term “Database as a Service” (DBaaS). Cloudant’s JSON document database is perfect for applications that need the flexibility, scalability with a lot of advanced features inclusive of text search and geo spatial capabilities. And, it is fully managed for you. Cloudant helps make your web and mobile applications more scalable and more available to users wherever they are.
Comdata is an IBM client and a leader in payment solutions for the fleet management industry. Basically, they’re a credit card company. They issue the Fleet Management credit card that their customers’ truck drivers use to pay for gas and work-related expenses on the road.
Comdata knew that mobile could make a major difference for their business, but they weren’t sure how.
What they did know what this:
Every day, fleet management companies worldwide spend about $85 million on fuel.
And even though the fleet managers typically have pre-negotiated loyalty rates with many fuel chains, those rates are not advertised. In many cases, drivers don’t even have this information.
As a result, nearly 54 percent of their customers’ drivers were paying more for gas than should.
By delivering the right information to the drivers at the right place and time, Comdata could help its customers save up to $25K a month or $300k a year – potentially huge savings.
To capitalize on the opportunity, Comdata did three things:
They used mobile to envision a New Way to Work for its customers’ truck drivers. They imagined an intuitive, easy-to-use and always-on mobile app enabled with data from a myriad of sources – including their own Systems of Record, the MasterCard gas prices feed, local municipalities’ that held data on height and weight restrictions for bridges and overpasses, traffic bureaus and so on. With real-time access to this rich data, they knew that drivers could not only make better fuel purchase decisions but also optimize their routes to avoid traffic delays and construction and find the kind of amenities (e.g., truck stops with showers) that would make life on the road infinitely easier.
With this vision in mind, Comdata worked with IBM Business Partner Point Source to bring the app to life, enabling a New Way to Engage with their customers’ drivers. Along the way, they interviewed actual truckers to create user journey maps. They solved the problem of how to quickly access and analyze massive amounts of data to reliably deliver the right insights to drivers at the right place and time by using IBM Cloudant to make complex geospatial map reduction queries across multiple systems running in IBM SoftLayer. And they used the IBM MobileFirst Platform to design an innovative app interface with a ‘1-click’ strategy that allows drivers to access the information quickly and easily, without creating unnecessary – and potentially disastrous -- distractions.
With this new mobile-first solution, Comdata truly architected a New Way Forward for their business. In the past, Comdata was only able to analyze data after drivers' trips -- by uncovering insights from the Fleet Management card purchase data as well as known gas pricing data and data from gaming simulations designed to predict drivers' behavior. Now, they can now gather and analyze trip data in real time, saving their customers time and money and providing a much better experience for drivers, who can optimize their routes based on the amenities that matter most to them.
Read the full Comdata case study (internal link): http://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-9R3SVS&appname=crmd
http://www-03.ibm.com/software/businesscasestudies/us/en/corp?synkey=C048384M14201Z77
This is the sweet spot of our new Cloud Data Services platform – quickly delivering tons of data. We could easily integrate with their existing Netezza setup to make the most of their investment. The fact that these tools are cloud-based with no overhead, and can be used with current systems helped me change the conversation from a standard check-in to start selling.
Now, this client has the Cloudant database up and running, and we are ready to broaden the conversation and start talking about using cloud-based data warehousing and analytics
Company & Use Case Background
Investment & financial services research firm
Cloudant will be persistent datastore at the edge (pulling from multiple systems of records, starting with Netezza) to provide API & workload simplification. The company’s API internally prepares the data for visualization and storage by converting it into JSON format. A small subset of the data will be sent to the calling application for visualization while the full dataset will be persisted into Cloudant.
Success Criteria
Provide real-time access to data for a new system of engagement application for accessing and visualizing reports from Netezza through a custom API
Support for high volume of user concurrency – something a warehouse environment like Netezza cannot provide
Integration with other IBM products – like Netezza
Solution & Results
Cloudant’s schema-less architecture gives this firm the ability to store the data without needing a schema definition prior to inserting the data from Netezza, nor does it require a schema change
when different data must be captured and processed
With Cloudant, the firm is transforming how their users access data
Detail on next slide
1. An end user requests a dataset to be visualized by a Customer Service.
2. The request is processed through a Customer API which queries Netezza (or any other data warehouse) for the requested data.
3. Netezza returns the requested dataset back to the Customer API.
4. The Customer API internally prepares the data for visualization and storage by converting it into JSON format. A small subset of the data will be sent to the calling application for visualization while the full dataset will be persisted into Cloudant.
5. The initial requesting application can now query, page, sort, etc against the data in Cloudant until they are finished.
dashDB is our Datawarehouse as a Service. It is a fully managed data warehouse on the cloud that leverages DB2 BLU and Netezza in-database analytics to help organizations get their insights very quickly without the need to provision any infrastructure.
The Red 10 is a marketing analytics firm based in the UK. They leverage dashDB to provide real-time analytics at the right time to the appropriate audiences.
We were able to reduce the queries from 1 day to 4 seconds with dashDB. Customer was sold after a month of working with the IBM team. They had to leverage the opex model and IBM was the perfect fit for their economics requirements.
Now, you can quickly provision multi-node Hadoop clusters on bare-metal hardware with our BigInsights on Cloud offering. It’s available via the IBM Cloud marketplace and Bluemix.
BigInsights on cloud comes pre-installed with BigR
BigR allows parallelizing algorithms over the entire data set
The APIs are similar to ones familiar to an R user
Clients like R Studio can be used to send scripts to BigR to execute
Now, you can quickly provision multi-node Hadoop clusters on bare-metal hardware with our BigInsights on Cloud offering. It’s available via the IBM Cloud marketplace and Bluemix.
We’re all in the data business
Data comes in many forms, and our platform speaks all of them.
We are:
Open source
Open to how you want to run (public, private, hybrid)
Open to where you want to run with 40+ data centers available world wide
Open 24x7 so you can #sleepmore
We are OPEN FOR DATA
Thank you.