This document discusses how digital transformations require hybrid cloud solutions. It provides examples of how hybrid cloud can provide cost savings and new revenue opportunities for businesses. The key aspects of developing a hybrid cloud strategy are preparing workloads for migration, developing a business case, determining deployment options, and creating a cloud strategy and roadmap. Security, privacy, and compliance also must be addressed when planning a move to hybrid cloud.
Cloud transformation and Evolution of Integration PatternsSrikanth Prathipati
The document discusses evolution of integration patterns during cloud transformations. It describes how traditional on-premise integration patterns need to adapt when applications and data are deployed in public, private or hybrid cloud environments. Some key challenges addressed include dealing with decentralized cloud services, security issues with exposing systems to the internet, and transforming messaging patterns to use cloud-native services. The document advocates an approach of first re-hosting existing integrations in a cloud-native way to decouple dependencies before further refactoring patterns based on a multi-cloud strategy and API-led architecture principles.
Driving a Digital Thread Program in Manufacturing with Apache Kafka | Anu Mis...HostedbyConfluent
Forward-looking manufacturing companies have recognized the value of digital threads that bring together design and product information across the product life cycle, connecting the dots as information flows from design to manufacturing and on to services. Creating a reliable, scalable infrastructure to support digital thread programs can be a significant challenge, given the wide variety of legacy systems involved. At Mercury Systems we are using Kafka and Confluent to drive our digital thread program and put in place a product lifecycle management process for Industry 4.0. With the substantial year-on-year growth we were seeing, we needed a cloud-ready solution that goes beyond a basic, API-based integration layer based on Mulesoft or similar technology. If you’re wondering why Kafka makes sense for a digital thread, join us to learn how a real-time event streaming platform enables core strategies around ML/AI, microservices, model-based system engineering, and continuous improvement.
Comparing three data ingestion approaches where Apache Kafka integrates with ...HostedbyConfluent
Using Kafka to stream data into TigerGraph, a distributed graph database, is a common pattern in our customers’ data architecture. We have seen the integration in three different layers around TigerGraph’s data flow architecture, and many key use case areas such as customer 360, entity resolution, fraud detection, machine learning, and recommendation engine. Firstly, TigerGraph’s internal data ingestion architecture relies on Kafka as an internal component. Secondly, TigerGraph has a builtin Kafka Loader, which can connect directly with an external Kafka cluster for data streaming. Thirdly, users can use an external Kafka cluster to connect other cloud data sources to TigerGraph cloud database solutions through the built-in Kafka Loader feature. In this session, we will present the high-level architecture in three different approaches and demo the data streaming process.
RedisGraph A Low Latency Graph DB: Pieter CailliauRedis Labs
This document summarizes a presentation about RedisGraph, a graph database that runs on Redis. The presentation discusses RedisGraph's capabilities, use cases where graph databases are useful, and what new features are upcoming for RedisGraph. Specific points mentioned include RedisGraph's support for the Cypher query language, improvements in performance and functionality since its general availability, and how the graph database can power features for IBM's Multicloud Manager product.
Fundamentals Big Data and AI ArchitectureGuido Schmutz
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
The right architecture is key for any IT project. This is valid in the case for big data projects as well, but on the other hand there are not yet many standard architectures which have proven their suitability over years.
This session discusses different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Event Driven architecture as well as Lambda and Kappa architecture.
Each architecture is presented in a vendor- and technology-independent way using a standard architecture blueprint. In a second step, these architecture blueprints are used to show how a given architecture can support certain use cases and which popular open source technologies can help to implement a solution based on a given architecture.
The Top 5 Apache Kafka Use Cases and Architectures in 2022Kai Wähner
This document discusses the top 5 use cases and architectures for data in motion in 2022. It describes:
1) The Kappa architecture as an alternative to the Lambda architecture that uses a single stream to handle both real-time and batch data.
2) Hyper-personalized omnichannel experiences that integrate customer data from multiple sources in real-time to provide personalized experiences across channels.
3) Multi-cloud deployments using Apache Kafka and data mesh architectures to share data across different cloud platforms.
4) Edge analytics that deploy stream processing and Kafka brokers at the edge to enable low-latency use cases and offline functionality.
5) Real-time cybersecurity applications that use streaming data
Cloud transformation and Evolution of Integration PatternsSrikanth Prathipati
The document discusses evolution of integration patterns during cloud transformations. It describes how traditional on-premise integration patterns need to adapt when applications and data are deployed in public, private or hybrid cloud environments. Some key challenges addressed include dealing with decentralized cloud services, security issues with exposing systems to the internet, and transforming messaging patterns to use cloud-native services. The document advocates an approach of first re-hosting existing integrations in a cloud-native way to decouple dependencies before further refactoring patterns based on a multi-cloud strategy and API-led architecture principles.
Driving a Digital Thread Program in Manufacturing with Apache Kafka | Anu Mis...HostedbyConfluent
Forward-looking manufacturing companies have recognized the value of digital threads that bring together design and product information across the product life cycle, connecting the dots as information flows from design to manufacturing and on to services. Creating a reliable, scalable infrastructure to support digital thread programs can be a significant challenge, given the wide variety of legacy systems involved. At Mercury Systems we are using Kafka and Confluent to drive our digital thread program and put in place a product lifecycle management process for Industry 4.0. With the substantial year-on-year growth we were seeing, we needed a cloud-ready solution that goes beyond a basic, API-based integration layer based on Mulesoft or similar technology. If you’re wondering why Kafka makes sense for a digital thread, join us to learn how a real-time event streaming platform enables core strategies around ML/AI, microservices, model-based system engineering, and continuous improvement.
Comparing three data ingestion approaches where Apache Kafka integrates with ...HostedbyConfluent
Using Kafka to stream data into TigerGraph, a distributed graph database, is a common pattern in our customers’ data architecture. We have seen the integration in three different layers around TigerGraph’s data flow architecture, and many key use case areas such as customer 360, entity resolution, fraud detection, machine learning, and recommendation engine. Firstly, TigerGraph’s internal data ingestion architecture relies on Kafka as an internal component. Secondly, TigerGraph has a builtin Kafka Loader, which can connect directly with an external Kafka cluster for data streaming. Thirdly, users can use an external Kafka cluster to connect other cloud data sources to TigerGraph cloud database solutions through the built-in Kafka Loader feature. In this session, we will present the high-level architecture in three different approaches and demo the data streaming process.
RedisGraph A Low Latency Graph DB: Pieter CailliauRedis Labs
This document summarizes a presentation about RedisGraph, a graph database that runs on Redis. The presentation discusses RedisGraph's capabilities, use cases where graph databases are useful, and what new features are upcoming for RedisGraph. Specific points mentioned include RedisGraph's support for the Cypher query language, improvements in performance and functionality since its general availability, and how the graph database can power features for IBM's Multicloud Manager product.
Fundamentals Big Data and AI ArchitectureGuido Schmutz
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
The right architecture is key for any IT project. This is valid in the case for big data projects as well, but on the other hand there are not yet many standard architectures which have proven their suitability over years.
This session discusses different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Event Driven architecture as well as Lambda and Kappa architecture.
Each architecture is presented in a vendor- and technology-independent way using a standard architecture blueprint. In a second step, these architecture blueprints are used to show how a given architecture can support certain use cases and which popular open source technologies can help to implement a solution based on a given architecture.
The Top 5 Apache Kafka Use Cases and Architectures in 2022Kai Wähner
This document discusses the top 5 use cases and architectures for data in motion in 2022. It describes:
1) The Kappa architecture as an alternative to the Lambda architecture that uses a single stream to handle both real-time and batch data.
2) Hyper-personalized omnichannel experiences that integrate customer data from multiple sources in real-time to provide personalized experiences across channels.
3) Multi-cloud deployments using Apache Kafka and data mesh architectures to share data across different cloud platforms.
4) Edge analytics that deploy stream processing and Kafka brokers at the edge to enable low-latency use cases and offline functionality.
5) Real-time cybersecurity applications that use streaming data
This document discusses various cloud migration strategies. It suggests starting with a partial approach by moving generic applications or non-critical infrastructure to the cloud as a first step. A full assessment of applications is needed to determine what can be retired, replaced with SaaS, refactored for PaaS, or initially rehosted on IaaS. It outlines a 5 step process for cloud migration including determining public vs private cloud, integration strategies, and transition architecture. The overall goal is to leverage the cloud platform to reduce costs and improve flexibility over time.
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...SnapLogic
In this webinar, learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
We also discuss how Earth Networks gained faster data insights using SnapLogic’s Amazon Redshift data integration and other connectors to quickly integrate, transfer and analyze data from multiple applications.
To learn more, visit: www.snaplogic.com/redshift
[INFOGRAPHIC] Event-driven Business: How to Handle the Flow of Event Dataconfluent
Data-driven strategies and streaming data use cases are increasingly important for organizations. A 2018 study found that 56% more organizations now identify data-driven strategies as vital compared to 2016. The need for real-time processing has more than doubled since 2016. While technology hurdles were previously the main obstacle, cultural and strategic challenges are now seen as the biggest barriers to implementing streaming initiatives. Event-driven business models that leverage real-time data help lower costs and create competitive advantages.
The document provides an agenda for the Government Track at the Kafka Summit 2021. The agenda includes sessions on topics like improving veteran benefit services through efficient data streaming, Kafka migration for satellite event streaming data, Kafka powered near real-time data pipelines at extreme scale, transformation during a global pandemic, securing the message bus with Kafka streams, Kafka for connected vehicle research, and driving a digital thread program in manufacturing with Apache Kafka. Speakers include representatives from Booz Allen Hamilton, ASRC Federal, University of California San Diego, Confluent, Raft LLC, Leidos, Ohio Department of Transportation, and Mercury Systems.
This document discusses a formal specification for event processing called LEAD. It proposes new operators and a rule grammar to address challenges in complex event processing (CEP) like performance, scalability, state management, ambiguous semantics, and lack of expressiveness. The key contributions are a pattern algebra extending common CEP operators, a rule grammar to define patterns and obtain actions, and a novel logical execution plan using timed colored Petri nets to facilitate deployment. An example use case of product roll-up tracking is presented to illustrate how LEAD can formulate a problem with interdependent patterns in fewer queries compared to other CEP frameworks.
High Performance Big Data Loading for AWS: Deep Dive and Best Practices from ...Amazon Web Services
This document discusses high performance data loading for AWS using Informatica. It provides an overview of Informatica Cloud's architecture for loading data into AWS services like Redshift, DynamoDB, and RDS. It demonstrates how to load data in parallel across nodes for high throughput. The document also shows demos of loading data into these AWS targets and discusses using Kinesis for IoT streaming data collection.
Financial Event Sourcing at Enterprise Scaleconfluent
For years, Rabobank has been actively investing in becoming a real-time, event-driven bank. If you are familiar with banking processes, you will understand that this is not simple. Many banking processes are implemented as batch jobs on not-so-commodity hardware, meaning that any migration effort is immense.
*Find out how Rabobank redesigned Rabo Alerts while continuing to provide a robust and stable alert system for its existing user base
*Learn how the project team managed to achieve a balance between the need to decentralise activity while not losing control
*Understand how Rabobank re-invented a reliable service to meet modern customer expectations
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...HostedbyConfluent
Modern data processing applications built on Kafka and InfluxDB deliver the performance, reliability, and flexibility that customers need for robust real-time data pipeline solutions. As the saying goes, the pipeline is greater than the sum of its Kafka and InfluxDB parts. In this session, Russ Savage, Director of Product Management at InfluxData will discuss basic concepts of integrating Kafka and InfluxDB while highlighting how companies are creating fault-tolerant, scalable and fast data pipelines with the power of InfluxDB and Kafka.
IBM Cloud Pak for Integration with Confluent Platform powered by Apache KafkaKai Wähner
The Rise of Data in Motion powered by Event Streaming - Use Cases and Architecture for IBM Cloud Pak with Confluent Platform. Including screenshots of the live demo (integration between IBM and Kafka via Confluent Platform and Kafka Connect connectors).
Learn about the integration capabilities of IBM Cloud Pak for Integration, now with the industry’s leading event streaming platform from Confluent Platform powered by Apache Kafka.
MariaDB en la actualidad y su visión del futureMariaDB plc
1) The document summarizes MariaDB's 2018 roadshow in Madrid about how open source databases can meet enterprise needs.
2) It highlights MariaDB's focus on being easy to use, extend, and deploy on-premise, in the cloud, or in hybrid environments using various programming languages and frameworks.
3) The document also discusses MariaDB's cost advantages over Oracle's databases, its support for community contributions and plugins, and how it is used by over 12 million users in various industries globally.
In this presentation I do a review of the architecture of an AI application for IoT environments.
Since specific modeling and training aspects also have an impact on the final implementation of an enterprise ready solution, such solutions become very complex pretty soon.
The complexity of AI system for IoT is a big challenge – thus, I want to break this complexity down into particular views, which emphasize the individual but still interconnected aspects more clearly.
The data that organizations are required to analyze in order to make informed decisions is growing at an unprecedented rate. Companies have to capture the window of opportunity and become not just data driven, but event driven. In this talk, we will talk around addressing these issues and look into ways to bridge the on-premise kafka deployments with GCP stack for different use cases and personas. This will be followed by architecture examples on How do you deploy kafka and integrate with the rest of the GCP stack.
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...InfluxData
In this session, we are going to create a Lenses DataOps hub for IoT data with Apache Kafka and InfluxDB flows over Kubernetes. We will demonstrate how to create streaming flows and securely explore and monitor real-time data. We will use Kubernetes to spin up scalable flows and go through how we can simply provision such flows with secret management and monitoring end to end out capabilities.
Top 5 Event Streaming Use Cases for 2021 with Apache KafkaKai Wähner
Apache Kafka and Event Streaming are two of the most relevant buzzwords in tech these days. Ever wonder what the predicted TOP 5 Event Streaming Architectures and Use Cases for 2021 are? Check out the following presentation. Learn about edge deployments, hybrid and multi-cloud architectures, service mesh-based microservices, streaming machine learning, and cybersecurity.
On-demand video recording: https://videos.confluent.io/watch/XAjxV3j8hzwCcEKoZVErUJ
The document discusses IBM's Cloud Pak for Data and its components. It covers the different subject areas of Cloud Pak 4 Integration, including App Connect Enterprise, API Connect, and MQ Advanced. It also discusses Cloud Pak 4 Data and its AI ladder approach from collecting data to infusing AI. Additionally, it summarizes the areas of Cloud Pak 4 Applications, Cloud Pak 4 Security, and Cloud Pak 4 Multi-Cloud Management.
MariaDB is an open source relational database that is easy to use, deploy, and extend. It offers lower costs than proprietary databases like Oracle. MariaDB encourages community collaboration and integration of community code and plugins. It has an extensible architecture that allows for things like Galera cluster, InnoDB storage engine, security key management plugins and more. It is used by many large companies and is the default database for major Linux distributions.
Chris D'Agostino | Kafka Summit 2018 Keynote (Building an Enterprise Streamin...confluent
This document summarizes Chris D'Agostino's presentation on enabling real-time event processing at scale. The presentation covers event-based architecture, self-service streaming and data governance, and complex event processing (CEP) and IFTTT capabilities. It discusses goals like data democracy, shared infrastructure, and making data tools and platforms user-centered. It also provides examples of how their streaming data platform supports features like stream design and management, data validation, and automatic data enrichment.
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceHostedbyConfluent
Organisations are becoming Event Driven based on streaming technologies and adopting Data Mesh and Event Mesh architectures. As this becomes pervasive, so do the challenges around runtime governance and lifecycle management. For example, do you know what streams exist, who is producing and consuming them? What is the effect of upstream changes? How is this information kept up to date, and how do people collaborate efficiently across distributed teams and environments? Ever wish you had a way to view and visualize graphically the relationships between schemas, topics and applications? In this talk we will show you how to do that and get more value from your Kafka Streaming infrastructure using an Event Portal - an API portal specialized for event streams and publish/subscribe patterns. Join us to see how you can discover event streams from your Kafka clusters, import them to a catalog to see alongside other enterprise event streams and leverage code gen capabilities to ease development.
This document provides an overview of Amazon Elastic Compute Cloud (EC2), a cloud computing service that allows users to launch server instances in Amazon's data centers. EC2 provides templates called Amazon Machine Images (AMIs) that contain pre-configured software. Users can launch instances of AMIs to replicate configurations across multiple servers. EC2 instances can be deployed and terminated on demand, while physical servers require regular maintenance. EC2 offers scalable, on-demand resources that users pay for based on usage, unlike physical servers which incur costs whether used or not. The document also briefly discusses other Amazon cloud services like S3, DynamoDB, and Elastic Beanstalk.
This document discusses various cloud migration strategies. It suggests starting with a partial approach by moving generic applications or non-critical infrastructure to the cloud as a first step. A full assessment of applications is needed to determine what can be retired, replaced with SaaS, refactored for PaaS, or initially rehosted on IaaS. It outlines a 5 step process for cloud migration including determining public vs private cloud, integration strategies, and transition architecture. The overall goal is to leverage the cloud platform to reduce costs and improve flexibility over time.
Weathering the Data Storm – How SnapLogic and AWS Deliver Analytics in the Cl...SnapLogic
In this webinar, learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
We also discuss how Earth Networks gained faster data insights using SnapLogic’s Amazon Redshift data integration and other connectors to quickly integrate, transfer and analyze data from multiple applications.
To learn more, visit: www.snaplogic.com/redshift
[INFOGRAPHIC] Event-driven Business: How to Handle the Flow of Event Dataconfluent
Data-driven strategies and streaming data use cases are increasingly important for organizations. A 2018 study found that 56% more organizations now identify data-driven strategies as vital compared to 2016. The need for real-time processing has more than doubled since 2016. While technology hurdles were previously the main obstacle, cultural and strategic challenges are now seen as the biggest barriers to implementing streaming initiatives. Event-driven business models that leverage real-time data help lower costs and create competitive advantages.
The document provides an agenda for the Government Track at the Kafka Summit 2021. The agenda includes sessions on topics like improving veteran benefit services through efficient data streaming, Kafka migration for satellite event streaming data, Kafka powered near real-time data pipelines at extreme scale, transformation during a global pandemic, securing the message bus with Kafka streams, Kafka for connected vehicle research, and driving a digital thread program in manufacturing with Apache Kafka. Speakers include representatives from Booz Allen Hamilton, ASRC Federal, University of California San Diego, Confluent, Raft LLC, Leidos, Ohio Department of Transportation, and Mercury Systems.
This document discusses a formal specification for event processing called LEAD. It proposes new operators and a rule grammar to address challenges in complex event processing (CEP) like performance, scalability, state management, ambiguous semantics, and lack of expressiveness. The key contributions are a pattern algebra extending common CEP operators, a rule grammar to define patterns and obtain actions, and a novel logical execution plan using timed colored Petri nets to facilitate deployment. An example use case of product roll-up tracking is presented to illustrate how LEAD can formulate a problem with interdependent patterns in fewer queries compared to other CEP frameworks.
High Performance Big Data Loading for AWS: Deep Dive and Best Practices from ...Amazon Web Services
This document discusses high performance data loading for AWS using Informatica. It provides an overview of Informatica Cloud's architecture for loading data into AWS services like Redshift, DynamoDB, and RDS. It demonstrates how to load data in parallel across nodes for high throughput. The document also shows demos of loading data into these AWS targets and discusses using Kinesis for IoT streaming data collection.
Financial Event Sourcing at Enterprise Scaleconfluent
For years, Rabobank has been actively investing in becoming a real-time, event-driven bank. If you are familiar with banking processes, you will understand that this is not simple. Many banking processes are implemented as batch jobs on not-so-commodity hardware, meaning that any migration effort is immense.
*Find out how Rabobank redesigned Rabo Alerts while continuing to provide a robust and stable alert system for its existing user base
*Learn how the project team managed to achieve a balance between the need to decentralise activity while not losing control
*Understand how Rabobank re-invented a reliable service to meet modern customer expectations
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...HostedbyConfluent
Modern data processing applications built on Kafka and InfluxDB deliver the performance, reliability, and flexibility that customers need for robust real-time data pipeline solutions. As the saying goes, the pipeline is greater than the sum of its Kafka and InfluxDB parts. In this session, Russ Savage, Director of Product Management at InfluxData will discuss basic concepts of integrating Kafka and InfluxDB while highlighting how companies are creating fault-tolerant, scalable and fast data pipelines with the power of InfluxDB and Kafka.
IBM Cloud Pak for Integration with Confluent Platform powered by Apache KafkaKai Wähner
The Rise of Data in Motion powered by Event Streaming - Use Cases and Architecture for IBM Cloud Pak with Confluent Platform. Including screenshots of the live demo (integration between IBM and Kafka via Confluent Platform and Kafka Connect connectors).
Learn about the integration capabilities of IBM Cloud Pak for Integration, now with the industry’s leading event streaming platform from Confluent Platform powered by Apache Kafka.
MariaDB en la actualidad y su visión del futureMariaDB plc
1) The document summarizes MariaDB's 2018 roadshow in Madrid about how open source databases can meet enterprise needs.
2) It highlights MariaDB's focus on being easy to use, extend, and deploy on-premise, in the cloud, or in hybrid environments using various programming languages and frameworks.
3) The document also discusses MariaDB's cost advantages over Oracle's databases, its support for community contributions and plugins, and how it is used by over 12 million users in various industries globally.
In this presentation I do a review of the architecture of an AI application for IoT environments.
Since specific modeling and training aspects also have an impact on the final implementation of an enterprise ready solution, such solutions become very complex pretty soon.
The complexity of AI system for IoT is a big challenge – thus, I want to break this complexity down into particular views, which emphasize the individual but still interconnected aspects more clearly.
The data that organizations are required to analyze in order to make informed decisions is growing at an unprecedented rate. Companies have to capture the window of opportunity and become not just data driven, but event driven. In this talk, we will talk around addressing these issues and look into ways to bridge the on-premise kafka deployments with GCP stack for different use cases and personas. This will be followed by architecture examples on How do you deploy kafka and integrate with the rest of the GCP stack.
DataOps on Streaming Data: From Kafka to InfluxDB via Kubernetes Native Flows...InfluxData
In this session, we are going to create a Lenses DataOps hub for IoT data with Apache Kafka and InfluxDB flows over Kubernetes. We will demonstrate how to create streaming flows and securely explore and monitor real-time data. We will use Kubernetes to spin up scalable flows and go through how we can simply provision such flows with secret management and monitoring end to end out capabilities.
Top 5 Event Streaming Use Cases for 2021 with Apache KafkaKai Wähner
Apache Kafka and Event Streaming are two of the most relevant buzzwords in tech these days. Ever wonder what the predicted TOP 5 Event Streaming Architectures and Use Cases for 2021 are? Check out the following presentation. Learn about edge deployments, hybrid and multi-cloud architectures, service mesh-based microservices, streaming machine learning, and cybersecurity.
On-demand video recording: https://videos.confluent.io/watch/XAjxV3j8hzwCcEKoZVErUJ
The document discusses IBM's Cloud Pak for Data and its components. It covers the different subject areas of Cloud Pak 4 Integration, including App Connect Enterprise, API Connect, and MQ Advanced. It also discusses Cloud Pak 4 Data and its AI ladder approach from collecting data to infusing AI. Additionally, it summarizes the areas of Cloud Pak 4 Applications, Cloud Pak 4 Security, and Cloud Pak 4 Multi-Cloud Management.
MariaDB is an open source relational database that is easy to use, deploy, and extend. It offers lower costs than proprietary databases like Oracle. MariaDB encourages community collaboration and integration of community code and plugins. It has an extensible architecture that allows for things like Galera cluster, InnoDB storage engine, security key management plugins and more. It is used by many large companies and is the default database for major Linux distributions.
Chris D'Agostino | Kafka Summit 2018 Keynote (Building an Enterprise Streamin...confluent
This document summarizes Chris D'Agostino's presentation on enabling real-time event processing at scale. The presentation covers event-based architecture, self-service streaming and data governance, and complex event processing (CEP) and IFTTT capabilities. It discusses goals like data democracy, shared infrastructure, and making data tools and platforms user-centered. It also provides examples of how their streaming data platform supports features like stream design and management, data validation, and automatic data enrichment.
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceHostedbyConfluent
Organisations are becoming Event Driven based on streaming technologies and adopting Data Mesh and Event Mesh architectures. As this becomes pervasive, so do the challenges around runtime governance and lifecycle management. For example, do you know what streams exist, who is producing and consuming them? What is the effect of upstream changes? How is this information kept up to date, and how do people collaborate efficiently across distributed teams and environments? Ever wish you had a way to view and visualize graphically the relationships between schemas, topics and applications? In this talk we will show you how to do that and get more value from your Kafka Streaming infrastructure using an Event Portal - an API portal specialized for event streams and publish/subscribe patterns. Join us to see how you can discover event streams from your Kafka clusters, import them to a catalog to see alongside other enterprise event streams and leverage code gen capabilities to ease development.
This document provides an overview of Amazon Elastic Compute Cloud (EC2), a cloud computing service that allows users to launch server instances in Amazon's data centers. EC2 provides templates called Amazon Machine Images (AMIs) that contain pre-configured software. Users can launch instances of AMIs to replicate configurations across multiple servers. EC2 instances can be deployed and terminated on demand, while physical servers require regular maintenance. EC2 offers scalable, on-demand resources that users pay for based on usage, unlike physical servers which incur costs whether used or not. The document also briefly discusses other Amazon cloud services like S3, DynamoDB, and Elastic Beanstalk.
Якої бібліотеки сьогодні потребує молодь і суспільство? Презентація під час неформальної конференції керівників ЮСП ЦБС Тернопільської області (6.11.2014)
This document outlines the curriculum for a Cloud Computing lab class, including 7 experiments covering topics like Hadoop MapReduce, HDFS, deploying and using cloud services, managing cloud resources, security compliance in the cloud, performance evaluation of cloud services, and case studies of platforms like Google App Engine, Microsoft Azure, Hadoop and Amazon. It is signed by the head of the computer science department.
Cloud Native Data Pipelines (QCon Shanghai & Tokyo 2016)Sid Anand
This document discusses cloud native data pipelines. It begins by describing the speaker and their work experience. Then, it outlines some key qualities of resilient data pipelines like operability, correctness, timeliness and cost. Two use cases at the speaker's company for applying trust models to messages are presented - one using batch processing and the other using near real-time processing. The document discusses how tools like Apache Airflow, auto-scaling groups, Amazon Kinesis and Avro can help achieve those qualities for data pipelines in the cloud.
The document discusses Netflix's move to cloud computing using Amazon Web Services. It outlines Netflix's model-driven deployment architecture in the cloud, including using ephemeral nodes, dynamic scaling, orchestration over manual steps, and making environments easy to clone. It also discusses Netflix's build and deployment process involving continuous integration, binary repositories, and application-specific packages and configurations.
Virtual reality uses computer-generated images and sounds to simulate a user's presence in a realistic virtual environment or imaginary setting. Mixed reality refers to virtual interaction with the physical world. Augmented reality supplements the real world with computer-generated input like graphics overlaid on the real world.
Cloud security From Infrastructure to People-wareTzar Umang
Understand Cloud Security in every level from infrastructure to people ware via understanding threats, hardening your servers and creating policies that will users be guided on securing themselves.
IBM Strategy and Values: (1) Focus on open technologies and high- value solutions, (2) Deliver integration and innovation to clients, (3) Become the premier Globally Integrated Enterprise.
This slides about brief Introduction to Image Restoration Techniques. How to estimate the degradation function, noise models and its probability density functions.
This document provides an overview of IBM, including its history, products, growth, role in space exploration, and presence in India. It discusses how IBM was founded in 1911 as CTR through a merger of three companies and was later renamed International Business Machines in 1924. The document also summarizes some of IBM's software, hardware, jobs, and recent news about a new mobile management product and focus on security solutions.
rgpv 7th sem for it & cs Cloud computing lab recordnaaaaz
This document contains a lab record file submitted by Amrita Kumari to Wyomesh Deepanker. The file details 6 experiments conducted on cloud computing: 1) Installation of Oracle VirtualBox and configuring Windows XP and Android, 2) Installation and configuration of Hadoop, 3) Using Hadoop for word frequency counting with MapReduce, 4) Research on service deployment on Google App and Amazon Web Services, 5) Cloud security management, and 6) Performance evaluation of services on Google App and Amazon Web Services. Steps for each experiment are documented in detail.
The document discusses IBM's cloud computing offerings and strategies. It summarizes that IBM believes cloud, combined with analytics, mobile, and social leads to an "Era of Smart." It also notes that IBM has a full breadth of cloud offerings to help clients achieve powerful business outcomes, including infrastructure as a service, platform as a service, software as a service, and business process as a service. Finally, it promotes IBM's approach of helping clients think through their cloud strategy, build out cloud solutions, and tap into cloud services.
Cloud, the Enterprise, and the Enterprise ArchitectElisabeth Stahl
The document discusses the role of enterprise architects in cloud adoption. It provides examples of how enterprise architects helped two clients leverage cloud computing to improve user experiences and enable rapid business transformation. The key takeaways are that enterprise architects should utilize their expertise in enterprise architecture domains to support cloud adoption and lead enterprise-wide transformation initiatives involving cloud. Architects need skills in business processes, business cases, ROI analysis and technical architecture definition to effectively guide organizations' cloud strategies.
Navigating the Future of the Cloud to Fuel InnovationPerficient, Inc.
The future of the cloud holds a wealth of promise for those who know how to leverage the power of high-performance computing to fuel business innovation and growth. As predicted, cloud has quickly become a prominent technology for executing digital transformation, but many enterprises are still struggling to understand how the cloud can help future-proof their business.
This second webinar in our Cloud First, Business-Driven webinar series explored some of the key concepts around the future of cloud, and how to think about what’s next for your enterprise. We discussed:
-Short- and long-term cloud trends
-Personal cloud with intelligent agent
-Personalized pricing and payment systems
-Taking hybrid cloud to the next level
-Customer-defined products
This document summarizes a webinar on cloud computing hosted by Sand Hill Group on September 16, 2010. It features presentations from cloud computing leaders M.R. Rangaswami and Kamesh Pemmaraju of Sand Hill Group, Otavio Freire of openQ, and Neil Fox of Ness Technologies. The webinar discusses identifying the business value of cloud computing for customers and vendors based on research including a survey of 511 IT executives and 40 confidential interviews. It also summarizes Ness Technologies' cloud assessment process to help companies determine their cloud readiness and considerations for moving applications and workloads to the cloud.
The document discusses the benefits of cloud computing, including operational efficiency, business transformation, and addressing business challenges through unprecedented integration, agility, quality services, and reduced costs. It outlines IBM's capabilities in cloud consulting, technologies, and managed services to help clients plan, build, integrate, and manage cloud deployments across public, private and hybrid models. IBM's approach considers strategic direction, workload analysis, and a systematic lifecycle to ensure successful cloud implementations.
The document discusses cloud computing as a new IT delivery and consumption model inspired by consumer internet services. It is driven by virtualization, automation, and standardization which enable economies of scale, flexible pricing, and self-service. Adoption of cloud computing will be shaped by analyzing workload characteristics and risks to determine the best delivery models of public, private or hybrid cloud.
The document discusses the size and opportunities of cloud computing. It notes that cloud spending is growing rapidly at 22.5% CAGR to 2014, though currently only makes up 9.4% of ICT spending in Australia. It also discusses the different types of cloud models including hosted private clouds, public clouds, and virtual private clouds. The document outlines some of the opportunities and challenges for IT channels in transitioning to cloud computing services and consulting.
The document discusses how hybrid cloud can help businesses accelerate digital transformation. It outlines that hybrid cloud provides flexibility through a combination of public, private, and on-premises systems while also offering visibility, control and security. The document promotes IBM Cloud as providing tools like cloud apps, a digital innovation platform, and world-class infrastructure to help businesses disrupt their industries or avoid disruption.
Next Gen ADM: The future of application services. IBM
Rapid technology advances are driving higher expectations around speed, efficiency and resilience. Expectations for how technology should help meet business goals are rising. To meet increasing expectations around agility, time to value and cost optimization, Businesses are seeking new ways to manage apps. Born-digital companies are setting new standards for speed, efficiency and resilience. We will discuss how companies can optimize the core, unlock legacy and unleash digital to thrive in the new normal.
The document discusses IBM's cloud portfolio and capabilities, including strategies for using software-as-a-service (SaaS) solutions. It notes IBM's end-to-end cloud portfolio includes over 100 SaaS offerings as part of IBM SmartCloud capabilities. The document promotes IBM's cloud solutions as helping organizations innovate, collaborate more effectively, and drive business transformation through cloud-based analytics, commerce, and other applications.
PwC hosted an AWS Summit in Mumbai to discuss how businesses can build and innovate using cloud technologies. The document discusses how today's businesses are driven more by needs rather than IT, with 50% emphasizing the need for new IT platforms and 70% having strong CIO-CxO relationships. It also summarizes PwC's cloud services for industries like manufacturing, financial services, government, telecom, gaming and GST. Case studies on migrating SAP to AWS for Macmillan Publishers India and building a real-time analytics platform for a gaming company are also provided. The presentation emphasizes how cloud can help businesses operate with agility, scalability and cost flexibility.
This document discusses a report from HFS Research on the top application modernization services providers in 2022. It provides an executive summary of the research methodology, which involved collecting data from service providers on their capabilities, revenues, case studies and client references. The research evaluated providers based on their execution, innovation, customer feedback and alignment with HFS' OneOffice model of digital transformation. The document excerpts various sections of the full report, including insights into pricing trends, the need for modernization, and elements of cloud-native organizations.
Build end-to-end solutions with BlueMix, Avi Vizel & Ziv Dai, IBMCodemotion Tel Aviv
The document discusses IBM's cloud platform Bluemix. It provides an overview of Bluemix, describing it as an open platform for developing and hosting applications that simplifies tasks associated with managing infrastructure at internet scale. Bluemix is built on IBM's Cloud Operating Environment architecture using Cloud Foundry as an open source PaaS. It enables developers to rapidly build, deploy, and manage cloud applications while tapping into available services and runtimes provided by IBM and other ecosystem partners. The document outlines some key Bluemix concepts and components such as applications, services, organizations/spaces, and buildpacks.
apidays LIVE Jakarta - Overcoming the 3 largest obstacles to digital transfor...apidays
apidays LIVE Jakarta 2021 - Accelerating Digitisation
February 24, 2021
Overcoming the 3 largest obstacles to digital transformation
Alan Glickenhouse, Digital Transformation Business Strategist at IBM
This document discusses cloud computing and software as a service (SaaS). It outlines the evolution of cloud computing from mainframes to ubiquitous cloud models. SaaS has disrupted the software industry through cost-effective delivery models. The document argues that now is the time for channels to get involved in the SaaS and cloud markets due to high growth projections and opportunities. It suggests channels can specialize in cloud implementation consulting and services to help customers transition to the cloud.
The document discusses how digital transformation is changing businesses through social media, cloud computing, mobile devices, big data and the internet of things. It notes that 81% of customers depend on social media for purchasing advice, 62% of workloads will be cloud-based by 2016, over 1 billion smart devices were shipped in 2013, 90% of data created in the last two years, and 50 billion internet of things devices will be connected by 2020. The document advocates that businesses must break down barriers to digital transformation like organizational silos, outdated business processes, and issues with accessing and analyzing data across different environments and ecosystems. It presents IBM's solutions for helping businesses optimize decisions, embrace agile development, reinvent processes, and deliver personalized experiences
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Speaking Points:
Many disruptive forces coming together at one time
Need to think digitally
Customers are redefining how they engage with us
We need to
demonstrate insight about them
personalize their experiences
truly collaborate and build strong relationships.
Changes in engagement forcing businesses to change
Business processes require speed, agility & insight from analytics.
Every business, large or small, needs to act digitally
At startup speed…Cloud enables this
Think like a startup
Act like a startup
Drive innovation.
Cloud enabling enterprises to fuel innovation
We envision a future helping customers continue their digital business transformation - with a focus on speed
“just-in-time” or real-time analytics are becoming a business cornerstone.
We are seeing disruptors leveraging some key digital transformations to reinvent business processes:
Front line decision making: New mobile apps are bringing data and decision making to the fingertips of people at the front lines of your organization who need to act, enabling your organization to become more nimble and provide better service
Moving decision making to the front line requires:
Connecting and securing services and data from different places including core systems of record
The ability to assemble them together as services outside the firewall, for mobile and web apps
Quickly identifying and resolving any performance bottlenecks that could occur.
Insight driven processes: Insight from non traditional data – social like twitter, internet of things, wearable devices, m2m is being used in real time business critical processes to create new business moments. More data, insight and capabilities are available in both employee and customer devices at the point of action, enabling faster, better decisions and action in the business moment
Delivering insight driven processes requires
the ability to integrate data sources from the internet of things, as well as systems of record and 3rd party data sets
analytics that have cloud speed and elasticity
Delivered at the right time, right place… informing and enabling business moments
Ecosystem based innovation: Other companies are effectively becoming digital innovators. They are focusing on creating their unique differentiation and sourcing from developer communities to help complete complex products and solutions. They are leveraging digital services from a broad ecosystem so they can focus on their core competences
Enabling ecosystem based innovation requires:
easy integration of data and services from any source
Agile DevOps capabilities that enable rapid experimentation
Coordinated lifecycle delivery
Speaking Points:
Lets talk about some enterprise that have chosen to be disruptors
For instance the airline industry
Globally, over 100,000 planes take off every day – over 37 million flights last year
A plane alone has 360,000 parts.
Small margins - about $4 per passenger in 2012 – about the cost of a cup of large coffee
In the US alone flight delays cost over $8 billion in 2012
Making the right decision at the right time and place can make a huge difference.
A critical metric that airlines can control is Turnaround times – that’s how long it takes to turn an incoming flight into an outbound flight
For an Airbus A320, industry best practice is around 25 minutes.
But it’s not uncommon for turnaround time to take 45 minutes or more.
Every flight hour lost is about $10,000 of lost revenue.
Airlines are looking to adopt more efficient maintenance models
Airbus spoke on stage at InterConnect this year
saw this as an opportunity to transform the way they deliver value to their customers
moving beyond simply selling airplanes to offer new services that bring their expertise to their customers by bringing a wide variety of data and insight together to mobile devices in the hands of maintenance engineers to optimize the speed and efficiency of maintenance actions.
This requires dealing with a high number of diverse systems
some on premises
some in the cloud
some on planes in flight
some in the hands of maintenance engineers
It all has to come together so the people on the front lines can do their jobs more effectively.
They can bring all the pieces of the maintenance puzzle together:
The current location of the aircraft …
The maintenance history and real time maintenance status of the aircraft …
The availability of parts …
The location, availability and skills of the line mechanic … and more
By connecting and securing services and data from all these different sources, on the IBM Cloud, the three main players in aircraft maintenance
The mechanic
The maintenance supervisor
And Airbus
The right information gets to the right decision-makers at the point of action at the right time,
Accelerating troubleshooting
Shrinking Turnaround Time.
Keeping planes and people moving.
IBM Cloud and mobile bring it all together – the ability to bridge between the cloud and back office systems, mobile capabilities, analytics and security
DelHaize,
Parent company of Food Lion
Using nontraditional data, weather data in their inventory business process
To predict buying behaviors based on weather.
Just-in-time inventory based on answering open-ended business questions like weather that causes them to adjust their optimal goals continuously.
Citi spoke at Interconnect as well.
Fostering innovation through digital acceleration
Leverages the concept of outside-in innovation. Through it they want to:
Unleash the power of the tech community
Develop new solutions
Disrupt the way banks innovate
Recognized the missed opportunities that would exist if they relied solely on Citi and were unable to engage the full tech community.
Using 3rd party development communities to help drive innovation.
Businesses today are using the cloud as a way to transform through disruptive innovation. In his keynote from InterConnect 2015, "Digital Transformations: Working in a Hybrid Cloud," Jerry Cuomo talks about Citigroup's digital transformation through JoinPay, a simple app that drives demand to Citi services through a hybrid cloud.https://www.ibm.com/cloud/resourcecenter/content/24
IBM itself is another good example of company who needed to reinvent itself, couple of times already...
Around 1960 IBM introduced early Mainframes which replaced computers based on vacuum tubes
In 1981 IBM introduced IBM PC to the market, hiring Microsoft to develop it’s OS called DOS
In 1993 IBM is loosing 8 billion $ as result of missread of personal computers revolution
In 1994 IBM has new business course, one that focuses less on its traditional strengths in hardware, and more on services, software, and its ability to craft technology solutions
In 1997 IBM creates term eBusiness and defines new industry by using Internet as medium for doing Business
Source
http://www.pcworld.com/article/230435/100_years_of_ibm_milestones.html
Speaking Points:
How you will personally respond to the new digital era?
The first step is to recognize where you need to head
If you look at these digital transformations it’s clear that digital businesses today use and connect data and services from many different sources. Some you will own. Some you will simply connect to. Some will be on-premises and some will not.
One large category of apps and services that are being driving through cloud are mobile apps and other means of engagement.
The bottom line is no one environment will contain everything you will need and use.
The reality is that digital transformations will require hybrid cloud.
Speaking Points:
Hybrid cloud is defined as the connection of one or more clouds to traditional systems and/or connection of one or more clouds to other clouds
So some or all of environments you will use will be cloud
When we talk about cloud there are three fundamental elements:
Cloud Business Apps – these are the software-as-a-service offerings that allow you to rapidly address front and back office needs.
Digital Innovation Platform – this is the platform for building, running, and managing cloud and mobile apps
World Class Cloud Infrastructure – this is the private and public cloud infrastructures that you will use
There are characteristics to these elements that are important for digital transformations.
But to make these work effectively in a hybrid cloud environment there are some important challenges that must be overcome
Speaking Points:
IT Leaders need Ninja like speed and skill to embrace the flexibility of universal hybrid clouds and meet shrinking time-to-value needs of the business. 61% of leading companies are achieving their objective of increased workforce efficiency through cloud (IBM Business Technology Trends 2014)
Developers are now empowered to focus on cloud and working to create new apps faster. By the end of 2015, 75% of large organizations are expected to have adopted agile devOps practices, (IDC) and 25% of cloud developers indicated development of cloud apps from within a hybrid environment.
Business leaders use the power of technology to experiment and innovate. 68% of leading companies are achieving their objective of improved customer experience through cloud (IBM Business Technology Trends)
Speaking Points:
Start with a World Class Infrastructure
IBM’s cloud infrastructure is currently in more than 140 different countries.
In 2014, we added 10 data centers to SoftLayer's global network in places like Hong Kong, Paris and Mexico Cit.
SL continues their global expansion in 2015, with new datacenters we are announcing we will add in Montreal and Sydney
Through SoftLayer’s cloud infrastructure, IBM has uniquely brought you visibility and control of your data and apps with our cloud infrastructure SoftLayer.
Private Networks, dedicated server, ability to deploy on bare metal means fast performance and increased security.
For example, the Mexico City facility provides 10Gbps connections to SoftLayer services, less than 25 milliseconds of latency from IBM’s Dallas cloud center, and less than 210 milliseconds of latency from IBM’s growing network of SoftLayer cloud centers around the world.
IBM’s cloud infrastructure helps increase IT and Developer productivity
Open Stack services allow you to use open standards based apis to quickly provision infrastructure to test and deploy.
Also newly announced IBM Power Systems on the cloud allow for easy capacity expansion to SoftLayer
Ginni recently announced, IBM will invest more than $1 billion in software defined storage over the next five years to help clients transform their IT infrastructure by evolving their storage to enterprise-grade, open and scalable hybrid cloud environments.
Added security with Intel® Trusted Execution Technology (Intel® TXT) and new Auto Scale capabilities
Two new data centers built to meet FedRAMP and FISMA requirements
Bare metal servers deployed in minutes and billed by the hour - enabling a new consumptive business model for rapid delivery of computing intensive workloads
Hybrid Infrastructure enabled by delivering consistent Openstack experience across consumption models (local, dedicated and public)
Speaking Points:
IBM Bluemix is an open-standards cloud platform for building, running, and managing applications. With Bluemix, developers can focus on building excellent user experiences with flexible compute options, choice of DevOps tooling, and a powerful set of IBM and third-party APIs and services.
Bluemix provides mobile and web developers access to IBM and third-party software for integration, security, transaction, and other key functions. The goal is to simplify the delivery of an application by providing services that are ready for immediate use and hosting capabilities to enable internal scale development.
Bluemix also has cloud deployments that fit your needs. Whether you are a small business that plans to scale, or a large enterprise that requires additional isolation, you can develop in a cloud without borders, connecting your dedicated services to the public Bluemix services available from IBM and third-party providers.
With the broad set of services and runtimes in Bluemix, the developer gains control and flexibility, and has access to various data options, from predictive analytics to big data.
Bluemix provides the following features:
A range of services that enable you to build and extend web and mobile apps fast.
Processing power for you to deliver app changes continuously.
Fit-for-purpose programming models and services.
Manageability of services and applications.
Optimized and elastic workloads.
Continuous availability.
Speaking Points:
Cloud brings a new level of agility to business innovation – our research shoes that leading organizations are using ready-built SaaS applications not only to run their business but to change it and evolve it.
SaaS delivers deep domain expertise, powerful analytics and flexible collaboration tools in every solution, as part of the application design.
As part of the over 400 IBM and partner solutions on IBM Cloud marketplace, IBM has a large portfolio of more than 100 SaaS solutions for front and back office needs along with customized solutions from GBS (the 20 Cloud Business Solutions).
*****
We’ve already pointed out that business leaders are innovating. One way they’re doing this is by leveraging SaaS. Knowing what business problem needs to be solved, SaaS empowers a business person to find an application which supports the LOB to be up and running quickly and delivering value and innovation without the drudgery of buying and deploying servers, architecting applications, etc. Business can focus on business.
This is perhaps an oversimplification, but it’s illustrative of SaaS. You own a computer at home. You want to have an email account. Your ISP doesn’t provide one. Are you, the casual user, going to learn about IMAP, POP, SMTP and how to setup an email server? Or would you rather sign up for Verse, Gmail or Hotmail and just have the ability to communicate with others in seconds? Businesses have similar decisions to make with the outcomes having further reaching consequences.
Speaking Points:
According to an Evans Data survey, the top two reasons to move to cloud are lower cost and flexibility of technology. *
The challenges we hear from customers as they try to ensure successful hybrid cloud implementations are:
That Business processes and transactions now cross multiple environments
creating new risk for security, visibility and control at each touch point.
and maximizing flexibility
to use not only my own data, apps and services,
but also those from anywhere I want
and be confident I’ll have that flexibility into the future?
In this hybrid environment,
how do I give my apps and developers fast and secure access
to only the data they need
to improve my business processes?
Speaking Points:
1.
Determine the organization goals, platform requirements & complexity associated
Develop enterprise cloud strategy, options available and roadmap
Envision the cloud architecture that will support cloud initiatives
Update IT Strategy and IT plans to align them with cloud strategy
2.
Define business drivers to prioritize use cases for cloud
Implement a CloudFirst strategy to evaluate right blend of cloud options for new projects
Assess and evaluate from the current applications, the best candidates for cloud
Determine the applications to be moved to cloud
3.
Define multi-sourcing models and cloud vendor selection criteria
Assess and determine how to best leverage the options of private, public and hybrid delivery models
Develop Cloud Service Catalog, SLAs and KPIs
4.
Conduct risk assessment, identify risks and mitigation measures
Develop cloud cost models including transition
Finalize a cloud business case and examine its ROI including time required for initial payback
5.
Prepare infrastructure for cloud
Develop
Cloud Risk Management plan and policies
Security and Compliance plan and processes
Transition plan including workforce transition
Assess impact on operating model; identify and plan changes required
Speaking Points:
APPLICATION AND DELIVERY PLATFORMS
Driving agility and productivity for the enterprise;
tested strategies to improve life cycle performance
INFRASTRUCTURE PLATFORMS
Delivering consumable, secure and readily available resources to enable agile execution
DATA PLATFORMS
Instantiating well-integrated business intelligence to manage the enterprise
BUSINESS MODELS ENABLED BY CLOUD
Promoting highly competitive initiatives at the enterprise and Industry level
Speaking Points:
Enterprise Cloud Adoption
Cloud First
The Opengroup defines the term “workload” as the type and characteristics of application(s) that can be hosted on the Cloud
Challenges to address:
Now that I am ready for cloud, what workloads fit my target cloud?
What is the real cost-benefit of moving workloads to the cloud?
Prioritization helps determine cloudable applications
Workload migration categories
Ready for Cloud – Wave 1
May be ready for Cloud – Wave 2
Not ready for cloud – Wave 3
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Private Cloud
Software, hardware and platforms are hosted in a data center owned by a organization and used by different departments / units inside of the organization
Off-premises Cloud (Public)
Software, hardware and platforms are hosted externally by a third party vendor who manages all aspects of the services for the organization
Rais analogy to Bank
Hybrid Cloud
Software, hardware and platforms are hosted both in third party data centers, as well as inside of a organization
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An operating model is a framework for formulating an operations strategy that best deploys and determine the explicit choices needed to achieve business goals
Market shifts in the digital economy necessitate most industries to adopt new technologies like cloud, mobile, social media and analytics
To succeed with cloud, organizations have to assess the impact of cloud on the operating model and determine what actions are required to make cloud adoption smoother and more successful