AIOps & Integration

Day 1: April 20, 2021

• 10:00 am EDT

  AI for IT Operations Management
  The vision of self-aware, self-healing, and self-managing Information Technology (IT) systems has remained elusive till recently. Recent advancements in cloud computing, Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) in general, are making it possible to realize this vision now. AI can optimize IT operations management processes by increasing application availability, predicting and detecting problems early, reducing the time it takes to resolve problems, proactively avoiding problems, and optimizing the resources and cost of running business applications on hybrid clouds. In this talk, I will give a glimpse of the AI behind the IBM CloudPak for Watson AIOps. I'll describe how semi-structured application and infrastructure logs are analyzed to predict anomalies early, how entities are extracted and linked from logs, alerts and events to reduce alert noise for IT operations admins, how NLP is put to use on unstructured content in prior incident tickets to extract next-best-action recommendations to resolve problems, and how deployment change request descriptions are analyzed in combination with past incident root cause information to predict risks of deployment changes to prevent issues from happening in the first place.

  Rama Akkiraju

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• 10:00 am EDT

  Automated Integration, powered by AI
  In order for enterprises to become more efficient and innovate faster they need to embrace automation, freeing up humans to focus on higher value, more creative tasks. Not only is integration critical in bringing about this transformation, it's also a key target of automation allowing for "closed loop" integration. In this session we will explore how using AI and operational data together can help automate the work of integration practitioners, allowing them to deliver integrations faster and better.

  Rob Nicholson

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Design

Recommended for architects, this track provides expert advice on how to plan for the AIOps and integration technologies you'll need to develop and manage your hybrid cloud solutions. Learn how AI can be leveraged to automate processes and improve security. Hear from leading clients and their developers to see how you can mirror their success.

Day 1: April 20, 2021

• 10:00 am EDT

  Why enterprise messaging and event streaming are different
  Enterprise messaging technologies, like IBM MQ have provided asynchronous communication within and across applications for many years. Recently, event streaming technologies, like Apache Kafka, have grown in popularity and they also provide asynchronous communication. Developers and architects might incorrectly assume that it’s trivial or sensible to change between these two types of technologies. Come and learn how these technologies are complementary and address different use cases.

  Callum Jackson

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• 10:00 am EDT

  Avoiding Dysfunctional Integrations with NFRs and FMEA
  You’ve built your integration. It runs. Data's flowing and the consumers and providers are happy. You've even got some documentation. But did you forget about those pesky NFRs (Non-Functional Requirements)? There's a lot that's easy to miss when it comes to NFRs. For example, in "Performance," have you considered the difference between throughput and response time? Does "3600 messages an hour," really mean one per second? What do you do if it doesn’t? Maintainability, security, visibility, compatibility, etc. are additional NFRs that must be considered. This session will cover the key NFRs as they apply to modern integration solutions - of all styles. We’ll not only give you the ‘NFR checklist’ - but also show you tools and techniques such as FMEA (Failure Mode & Effects Analysis) to make sure your integration solutions don’t suffer the NFR blues.

  Natasha Kirkup

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• 10:00 am EDT

  IBM & TCS Present: A Modern Approach to Enterprise Application Integration
  Integrations are a secret weapon for innovation, but how quickly can ideas be transformed into production—or at least prototypes? Explore the modern approaches to innovating with enterprise application integrations, including the tools used for enterprise integration on the IBM Cloud Pak for Integration platform.

  Pooja MistrySanthosh Ramanathan

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• 10:00 am EDT

  An Introduction to AIOps
  The fun starts here with an introductory guide to AIOps. You'll get an understanding of what AIOps is and how it's revolutionizing IT operations, plus what this means to you. Are robots taking over the world? No, but there's benefits to you and your company with AIOps. Whether you're an IT operations or services manager, work with infrastructure or app administrator teams, or are a system integrator you'll get an idea of how to adopt this exciting technology.

  Neil Sugden

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• 10:00 am EDT

  Testing the Limits of AIOps: Challenges and Benefits
  IT Operations used to be run by independent departments. However with the advent of DevSecOps—and the resulting cultural shift—complex, Hybrid Cloud environments have become prevalent. In this session, discover the challenges of the current DevSecOps, the need to bring automated intelligence to aid the highly complex future IT environments, parameters for successful implementation of AIOPs and the benefits of such an implementation.

  Padma Malladi

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• 10:00 am EDT

  The Virtual War Room: ChatOps meets AIOps
  AIOps is not just a technology, it's also changing our work processes and culture. The "war room" is a traditional method of problem solving across different functional teams. What was once a physical location has now gone virtual, using ChatOps and collaboration platforms. In this session you'll learn about working efficiently in these modern, virtual, environments and maximizing brain power and problem solving by adding AIOps.

  Robert Barron

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• 10:00 am EDT

  Adding AI-centric Automation to Your NetOps
  Automated service provisioning provides a great customer experience, but without automated observability and visibility of the new service, the NetOps teams are flying blind. Automated discovery and updating of service topology fed into AIOps tooling provides NetOps with not only instant observability but an ongoing learning of service behavior and performance.

  Finbarr HennessyGreg SouthamMichael Urwin

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• 10:00 am EDT

  Utilizing Cognitively Powered RPA to Triage and Implement IT Actions
  ITSM (IT Service Management) tools and ticketing play a massive role in all kinds of organizations. Knowledge workers and experts assigned to handling these tickets often spend too much time on easily automated tasks that fill up their queue, throw off metrics, and keep them from the tasks that make the best use of their knowledge and skills. Using a real world use case, we'll demonstrate how IBM RPA (Robotic Process Automation) can utilize AI in just a few clicks to triage and classify these ITSM tasks and integrate their processing seamlessly into an automation platform.

  Zachary Silverstein

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• 10:00 am EDT

  Scaling a Cluster Monitoring Service
  As deployed applications, and the associated data resources, on a cluster grow, so too does the need to be scale the monitoring stack to support the growth in the monitoring load. Get the key concepts and practical aspects of monitoring an AIOps cluster, with details on the various options available to scale out the monitoring stack.

  Sreedhar Kodali

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• 10:00 am EDT

  Find the Agility in AIOps and Service Management
  How does the Business Competence Center of the Austrian Railways (ÖBB), which manages more than 1500 services in a complex heterogeneous environment, serve most of their ITIL (IT Infrastructure Library) disciplines? Learn how AIOps helps them on the path to an automated service operation. Time to resolution is critical metric for managing applications, services and infrastructure. Discover ways to reduce problem-solving time by leveraging new platforms, virtualization, and cloud to bring additional agility to operations that often push old tools past their limits. Learn how AIOps can be leveraged to intelligently import and manage real time and historical data, find context with topology information, and detect failures. In this session we'll use a real life example from the Business Competence Center of the Austrian Railways, explaining how to get the right context with a combination of static and dynamic service and infrastructure topologies to solve problems faster. Plus, we'll demonstrate how to integrate agile environments in the existing architecture to reuse well-known processes.

  Harald Biedermann

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• 10:00 am EDT

  The Data Center Dilemma: AI Optimization to Reduce Your Carbon Footprint
  Data center energy consumption is expected to increase by 12% or more by 2030. There are multiple factors contributing to this trend including the expiration of Moore's Law, the explosion of data and data transfer, and the emergence of new energy intensive workloads like AI. Discover optimization strategies and use cases powered by AI.

  Khalid AhmedTamar Eilam

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Develop

Recommended for application and integration developers, this track provides a technical look into how to implement and deploy hybrid cloud applications that leverage multiple integration technologies including APIs, event streams and messaging. Address operational and development lifecycle aspects of your applications such as CI/CD, security and governance and how to utilize AI and operational data to automate test and development.

Day 1: April 20, 2021

• 10:00 am EDT

  Enterprise-ready event streaming with Apache Kafka
  The amount of data the world produces grows exponentially every year and many companies are realizing the potential of harnessing this data. A lot of this data is generated as a never-ending stream of events, with publishers creating the events and subscribers consuming them in various ways. This is where Apache Kafka comes in, more than a messaging system—it's an event streaming platform. Get an introduction to Kafka and concepts like topic partitioning, consumer groups, and exactly-once semantics. Plus, learn about the different libraries and frameworks available, like Kafka Streams and Connect. Then, understand how the Confluent Platform for IBM Cloud Pak for Integration can take your enterprise Kafka deployment to the next level.

  Jeremy HoganKate Stanley

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• 10:00 am EDT

  Event-driven Architectures as Easy as APIs?
  Many teams are using schemas and schema registries to bring structure to their data in event-streaming systems like Apache Kafka, but how do you enable developers to discover and consume events in a consistent way? Learn how to get started and enable discovery of Kafka topics that you want your teams to be able to use.

  Dale LaneEmma Humber

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• 10:00 am EDT

  Scaling Microservice Apps with Kafka
  Thinking about modeling and scaling a successful cloud native application, but don't know where to start? Kafka can help. Get a clear understanding of some of the capabilities of Apache Kafka, along with considerations for modeling and thinking about scaling in your own cloud native applications.

  Anthony AmanseAnton McConville

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• 10:00 am EDT

  Describing Events and Messaging Using AsyncAPI
  AsyncAPI is emerging as the standard way to describe asynchronous messaging architectures, making working with event-driven architectures as easy as working with REST APIs. From documentation to code generation, and from discovery to event management, it provides a language and a growing ecosystem of tooling for describing your asynchronous APIs. Learn how to get started with AsyncAPI to describe Kafka topics, and demonstrate examples of the tools that AsyncAPI enables.

  Dale LaneLukasz GornickiRichard Coppen

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• 10:00 am EDT

  Common JMS Programming Patterns: Spring Boot & IBM MQ
  It's easy to get started with IBM MQ and Spring Boot but what happens after Hello World? Explore more sophisticated messaging applications that can be developed quickly and easily following common programming patterns and using existing sample assets.

  Soheel Chughtai

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• 10:00 am EDT

  Event-based Autoscaling Using IBM MQ and KEDA
  Applications should be designed to be loosely coupled, highly distributed and interconnected, with an Event Mesh providing the glue to hold it together. The KEDA (Kubernetes Event-driven Autoscaling) framework integrates with Kubernetes to scale applications based on messaging workload. The IBM MQ KEDA scaler means that IBM MQ applications can benefit from Kubernetes pod scaling in response to queue depth thresholds. See KEDA and event-based autoscaling in action, and how you can make use of it with your apps.

  Jess McCreeryLiam McNulty

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• 10:00 am EDT

  Accelerating APIs: The Tools to Build, Manage, and Deploy Faster
  Building APIs is easy, right? Get a Swagger/OpenAPI spec and ‘just’ build the code. But what about connecting to other systems and dependencies to get the data needed for your API? And once you have the data, there’s a lot of fields to understand—and you have to transform and map them into the data you want. Then you've got to secure it, make sure people consume it... the list goes on. Get an end-to-end journey through building and managing APIs using IBM’s Cloud Pak for Integration and find the speed, efficiency, and security to make building your APIs easy. This session will provide hands-on scenarios that cover: How to make sure your API is secured? Is it rate limited so your back-ends don’t get overwhelmed? Will it scale to meet the demands of the API economy? And what about making sure people can consume it? Can they find it? Try it out? Get self-service access? And, of course, can they easily migrate when you release that wonderful version 2.0? Wouldn’t it be great if there was tooling and software that could do most of this for you, doing the heavy lifting so that you can concentrate on building your business value—quickly, simply and securely—in less than 30 minutes? If so then this is the session for you.

  Ulas Cubuk

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• 10:00 am EDT

  Declarative API Discovery and Deployment
  API Connect is radically changing how APIs are discovered and deployed with an eye firmly on the future. Through declarative and Custom Resource (CR) API discovery, APIs can be found on any cloud, anywhere, with a few lines of a YAML. The app developer doesn't need to know that API Connect exists to move APIs across the globe and make them available for socialization and or proxies. The future goes beyond REST—and so can you—with Async, GraphQL, and even old favorites like WSDL being easy to discover and utilize.

  Krithika PrakashRobert G Thelen

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• 10:00 am EDT

  When and How to Rate Limit API Endpoints
  An API endpoint enables a client to integrate and manage data resources on a server. To ensure that, the exposed API endpoints are not overwhelmed with client requests, typically rate limiting is employed which enforces limit on the number of requests from a client. Rate limiting not only improves API scalability but also allows one to define and meet SLAs. Learn the key concepts and practical aspects of rate limiting using Kong and NGINX API Gateways for cloud native deployments.

  Sreedhar Kodali

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• 10:00 am EDT

  Supercharging the Developer Experience with an Enriched API Hub
  With trillions of programmable endpoints to be interconnected and the urgency to drive digitization, API’s role in the open, hybrid cloud world is poised to grow exponentially. APIs will create powerful ways to streamline how we engage with our ecosystem and together deliver new services and applications that empower our consumers and developers to build solutions. IBM API Hub is the platform to drive the API Economy and easily discover, try, adopt and consume APIs from all of IBM and an open ecosystem. Developers explore APIs through the integrated playground experience that comes loaded with code accelerators to start on a fast track to build solutions. Cognitive-based recommendations and subscription and key management make it easy to discover and use the APIs critical to your business needs. A streamlined on-boarding experience, self-service lifecycle management of API listings, and a global high-availability infrastructure make it easy for platform providers to reach a broader developer audience with API-enabled services or data. All we are missing are you and your APIs!

  Peter GollmarSoumitra Limaye

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• 10:00 am EDT

  Integrating hybrid sensors with AI-powered actions
  The recent explosion of data-producing devices and frameworks has led to an overwhelming amount of sensors and connectors that need to be integrated. Take a deep-dive into a new Kubernetes-native integration framework that allows sensors, rules, and actions to be easily augmented by AI-powered actions. Quickly create and share these components while allowing AI-modelling teams to augment the set of actions performed on the collected data. Then, adopt a GitOps pattern to ensure these workflows are able to follow best CI/CD (continuous integration and deployment) practices.

  Arthur De Magalhaes

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• 10:00 am EDT

  Cloud Pak for Integration CI/CD and GitOps
  The Cloud-Native Toolkit is an open-source collection of assets that enable application development and operations teams to deliver business value quickly using Red Hat OpenShift or IBM Cloud-managed Kubernetes. Learn how developers, administrators, and SREs alike can use the Toolkit to support delivering business applications through the entire Software Development Life Cycle (SDLC).

  Carlos SantanaSean Sundberg

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• 10:00 am EDT

  Apply Policy Based Governance to Automate Continuous Security and Compliance Readiness for Open Hybrid Cloud
  Enterprises must meet standards for software engineering, secure engineering, resiliency, security, and regulatory compliance for public, private, multi, and hybrid clouds. Site Reliability Engineering teams that manage cloud platforms, as well as application developers that run their business applications on cloud platforms are not necessarily subject matter experts for all aspects of such standards and as such need an easy way to conform to them. This is the session for them.

  Jayashree Ramanathan

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Operate

Recommended for SREs, ITOps, and security SMEs, this track provides a view on how AI can help automate IT operations management to deliver a more secure, reliable hybrid cloud environment. Topics include incident detection and resolution, DevSecOps, and application observability.

Day 1: April 20, 2021

• 10:00 am EDT

  Everything and Nothing Changes: Observability with Cloud Native
  The move to cloud native applications is a radical change. Embracing cloud technologies brings agility, scalability and reliability to an organization's applications. The ephemeral nature of cloud services requires a different approach to management. However, the business critical applications that run in the cloud still require monitoring or observing to ensure that transactions are processed in a prompt and error-free manner. Learn more about the challenges of keeping observability in synchronization with rapidly changing application landscapes and how to make sense of the prodigious volume of metric and event data produced.

  Steve Waterworth

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• 10:00 am EDT

  Strengthening your ARM (Application Resource Management) with AIOps
  Applications run business, but application downtime or performance degradation kills customer experience and disrupts developer and IT operations priorities. As organizations modernize applications using microservices architectures and innovative technologies, it has never been more important to drive application centric IT operations, deliver targeted actions for performance improvements and leverage AI across development and application teams to automate and scale their efforts. This session provides a deep technical dive on IBM’s OEM Application Resource Management (ARM - Powered by Turbonomic) to highlight how AIOps provides highly distributed and dynamic applications the resources they need to perform. AIOps is the cross section of observability and actionability helping customers automate so they can focus on innovation and deliver the best customer experiences. Learn how ARM brings higher levels of automation to APM solutions (for example, Instana) through AIOps. The combination of APM and ARM brings an application centric prioritization to resource management based on application SLOs.

  Eric Wright

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• 10:00 am EDT

  Reclaim Your Time: Automating the Heck Out of Your Ops
  These days, it's common for developers to take over more of the operational aspects of an application, commonly known as DevOps. In this session, learn about common operational challenges—and their impacts on developers and IT operations/SREs—and some solution approaches to address them using IBM Cloud Pak for AIOps.

  Isabell SippliNeil Boyette

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• 10:00 am EDT

  Explore IBM Watson AIOps
  IBM Watson AIOps enables enterprises to derive insights from multiple sources of data like logs, metrics, and events. It uses AI technologies to detect hidden anomalies that are normally hard to detect using rules and in some cases detects incident causing anomalies, several hours before the incident occurs. This demo walk through provides an opportunity to view these features and more from IBM Watson AIOps by detecting anomalies and localizing the faults.

  Padma MalladiTamir Arnesty

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• 10:00 am EDT

  Better Predict IT Outages from Logs using AIOps
  To streamline IT operations, Site Reliability Engineering (SRE) teams have invested in monitoring tools, and log aggregators, but few SREs enjoy digging into the logs with arcane searches, hoping to correlate signals that lead to resolution. Learn about a brand new log anomaly detection service in Watson AIOps, designed to understand unstructured and semi-structured data without assuming the format of the data it consumes.

  Anbang Xu

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• 10:00 am EDT

  Change Risk Estimation for AIOps
  When something breaks, it's often because of a change. Production systems are constantly changing. Evaluating, approving, and deploying these changes is difficult and time-consuming, but supporting this change management process is an important role of operations support. History can guide us in estimating the riskiness of changes, with change risk informing both the proactive approval process, and the responsive incident management process. See how AIOps and Shift-Left testing can help SREs estimate risk and make reactive and proactive plans for success.

  Gene BrownMichael NiddPritam S GundechaRaghav Batta

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• 10:00 am EDT

  DevSecOps + AI: Your SRE’s Best Friends
  Site Reliability Engineers (SREs) want to get ahead of application and IT outages and resolve incidents before they impact users, but many teams today are overwhelmed by noise as they look to detect, isolate, diagnose and resolve the incident quickly. The acceleration of idea to production demands more time and attention from people. Fortunately, there's a new way of incorporating AIOps into DevSecOps to improve efficiency and effectiveness for finding problems, fixing them,and deploying fixes before major incidents occur. AIOps can free up precious time by surfacing critical information before incidents occur by positively influencing development decisions.

  Sameer Kamani

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• 10:00 am EDT

  Best Practices for Container and Kubernetes Security
  As cloud-native becomes the standard for application deployment, cloud teams must shift security practices to reduce risk. Applications built on containers and Kubernetes tend to be complex and are vulnerable to a variety of security issues from bugs to excess privileges to misconfigurations. Modern, cloud-native defenses and intelligence are needed to protect against threats. In this session, we’ll discuss and demonstrate key considerations for security and compliance across your DevOps lifecycle from development through production. Hear how to secure build pipelines, detect runtime threats, and validate compliance to confidently run containers in production. Learn how deep visibility into your containers together with intelligent AIOps can help you break down information silos, reduce the number of IT incidents, and resolve issues quickly.

  Eric CarterMateo Burillo

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• 10:00 am EDT

  Everything as Code, Everything is Consistent: Ansible Playbooks for Automation
  Have you ever been blocked by waiting for a testing or development environment to be provisioned and made available to you? Have you ever run into issues caused by differences in prod and test environments? Wouldn’t it be easier if there was a single source of truth for infrastructure and application configuration that allowed for some sort of consistency? Well, in this session we'll explore the concepts of Everything as Code and how we can automate environment configuration from a single source of truth contained in a git repository via GitOps—then automate provisioning using Ansible.

  Oliver Rodriguez

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• 10:00 am EDT

  Out-of-the-box fault localization in AIOps
  In cloud native applications, a large fraction of operational failures—or outages—result from violations of Service Level Objectives (SLOs) defined on either service errors or service latency, commonly referred to as two of the "golden signals." A light-weight fault localization system can greatly reduce human effort and dependency on domain knowledge for localizing such golden signal-based operational failures. Our technique establishes causal relationships among the golden signal service errors and error logs emitted by the constituent micro-services (all modeled as time series data).

  Ajay GuptaPooja AggarwalSeema Nagar

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• 10:00 am EDT

  The Fault in Our Injections: Learning from Fault Injection
  While ideal from an operations perspective, few production applications take advantage of complete and detailed logging and monitoring capabilities, due to perceived impact on application performance. That's where the fault injection framework comes into play. Learn how this framework can help collect operational data to enhance monitoring, validate existing models, and more. Designing and deploying an application for efficient operations is critical in the hybrid cloud world. IT Operations evolve around deployment, monitoring, automation, incident response and security audits. Data collected by robust monitoring, logging and tracing is particularly critical for managing hybrid applications, and ideal from an operation perspective, but very few production applications take advantage of these capabilities due to perceived impact of extensive monitoring on application performance. In the absence of 'monitor everything' in production environments, how can the DevOps team ensure that all the necessary operational data is being collected to be able to capture and alert on failures that might occur? In this session, learn how the fault injection framework we've built to collect operational data addresses this question and how it can be used to generate fault-related operational data, even for new features in a planned application release, to prepare for localization of the root cause of a problem in a microservice application.

  Frank BagehornJesus RiosLaura Shwartz

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• 10:00 am EDT

  Integrate Z for End-to-End Hybrid Enterprise Application Oberservability
  Any AIOps adoption effort that proceeds without the mainframe is incomplete. Why? Today the mainframe (IBM Z) is used by 71 percent of Fortune 500 companies, handles 90 percent of all credit card transactions and runs mission critical applications because of the platform's inherent benefits of scale, speed, security and resiliency. To take advantage of the promises of AIOps you need to take a holistic approach, which includes IBM Z. This involves the aggregation and correlation of anomalies, subsystem situations and end-to-end transaction tracing—from mobile to mainframe. Join us as we discuss how SRE's can improve enterprise application observability by integrating IBM Z Monitoring and Analytics tooling into a hybrid AIOps solution.

  Tim Brooks

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Cloud Integration Essentials

Get hands-on experience with a comprehensive cloud integration solution using IBM Cloud Pak for Integration. This includes using the Cloud Pak for Integration platform to manage an API ecosystem, to integrate applications and data across multiple clouds and on premise, to enact transactional data exchanges between applications, and to implement responsive application patterns that can react to events in realtime. Plus, you'll be able to earn a badge.

Day 1: April 20, 2021

• 10:00 am EDT

  Part 1: Introduction and Overview
  Welcome to the Cloud Integration Essentials track. In this session we will provide an overview of what you can expect from this course as well as the platform we will be using. In the subsequent sessions we will use a sample application to gain hands-on experience with different aspects of integration, such as creating/deploying APIs, bi-directional data syncing between applications and data replication. We will also provide an overview of IBM Cloud Pak for Integration, an enterprise-ready, containerized software solution that contains all the tools you need to integrate and connect application components and data both within and between clouds.

  David Carew

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• 10:00 am EDT

  Part 2: IBM API Connect Overview
  In this session we will get an introduction to the API Connect component of Cloud Pak for Integration. We will provide an overview of API Connect and the capabilities it provides to create, secure, manage, share and monetize APIs across clouds while you maintain continuous availability.

  David Carew

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• 10:00 am EDT

  Part 3: Environment Setup
  In this session you will go through some pre-work steps to obtain access to the environment and resources you will need throughout the subsequent lab sessions.

  David CarewJavier Torres

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• 10:00 am EDT

  Part 4: Create and Deploy an API using IBM API Connect
  In this session you will explore how to create a new API using the OpenAPI definition of an existing RESTful web-service that gets realtime stock quotes. You will then test the deployed API by deploying the IBM Trader Lite application which is a simple stock trading sample, written as a set of microservices. The app uses the API definition that you will create to get realtime stock quotes.

  David CarewJohn Zaccone

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• 10:00 am EDT

  Part 5: IBM App Connect Enterprise Overview
  In this session we will get an introduction to the App Connect Enterprise component of Cloud Pak for Integration. We will provide an overview of how App Connect helps you integrate all of your business data and applications more quickly and easily across any cloud, from the simplest SaaS application to the most complex systems — without worrying about mismatched sources, formats or standards.

  David Carew

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• 10:00 am EDT

  Part 6: Synchronize Data using IBM App Connect Enterprise
  In this session you will explore how App Connect can be used to sync client data from your application to other systems or applications. We will see how to use both URL and event driven App Connect flows to synchronize data between the sample IBM Trader Lite application and Salesforce.

  David CarewJohn Zaccone

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• 10:00 am EDT

  Part 7: Application Messaging Overview using MQ and Apache Kafka
  In this session we will get an introduction to the application messaging components of Cloud Pak for Integration. We will provide an overview of the requirements and a couple of approaches to application messaging. We'll quickly look at how IBM MQ can be used to simplify, accelerate and facilitate the reliable exchange of data with a flexible and security-rich messaging solution. In addition, we'll look at how to use Apache Kafka to deliver messages more easily and reliably and to react to events in real time.

  David Carew

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• 10:00 am EDT

  Part 8: Data Replication using IBM MQ and Kafka
  In this session you will explore how IBM MQ and Kafka can be incorporated into a sample application to replicate data from a transactional database to a reporting database. The pattern used allows for seamless horizontal scaling to minimize the latency between the time the transaction is committed to the transactional database and when it is available to be queried in the reporting database.

  David CarewJavier Torres

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• 10:00 am EDT

  Part 9: Claim Your Badge
  We have come to the end of the track. You are eligible to take the quiz to earn the Cloud Pak for Integration Essentials badge. Watch this video to see how.

  Hania Abrahim

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IBM MQ Essentials

Completion of this lab is recommended for the IBM MQ Developer Essentials badge.
No experience? No problem. Learn how to develop applications with IBM MQ and deliver messaging solutions in minutes. Create and configure a runtime, and get hands on developing a simple application. After the lab, you''ll have all the knowledge you need to earn the IBM MQ Developer Essentials badge via an online quiz, including a digital credential for your LinkedIn profile.

Day 1: April 20, 2021

• 10:00 am EDT

  Part 1: Welcome and Introduction
  This short section will familiarize you with what will be covered in this series of sessions. Join us to learn more about the IBM MQ Developer Essentials course, the agenda, and what you can expect out of it.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 2: Enterprise Messaging
  This session will introduce you to enterprise messaging. Explore messaging usecases, why you need an enterprise messaging solution and the value proposition.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 3: Core Messaging Concepts
  In this session, the core concepts behind messaging will be covered. We'll cover an overview of concepts like messaging, queues, queue managers, applications and transactions, as well as an overview of different messaging patterns.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 4: Deploy a Queue Manager
  In this hands-on lab, you will provision an MQ instance on the IBM cloud, create an MQ queue manager, and explore the MQ console.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 5: Messaging with an Application
  In this hands-on lab, dive into code and put a message on the queue manager created in part 4. We will use a simple Java application to show how to configure a connection to the queue manager and send a test message.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 6: Get ready to take the badge quiz
  This review session will prepare you to take the quiz to earn the MQ Essentials badge. We will recap the concepts covered in previous sessions on messaging, using IBM MQ, and enterprise development.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 7: Badge and Next Steps
  We have come to the end of the track. We hope you enjoyed the content. This final session will show you where to take the quiz needed to earn your badge, as well as provide some next steps in your journey.

  Max KahanRichard Coppen

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• 10:00 am EDT

  Part 8: Badge Details
  This additional session will provide details on how to take the quiz needed to earn your badge.

  Hania Abrahim

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