Sélectionner une langue
WATCH NOW ON-DEMAND
Your guide to cloud-native integration—A webinar series
Join this 4-webinar series and learn how to deliver process innovation with data integration. The series starts with why integration capabilities are crucial to getting the most benefits from cloud-native development and then dives into specific integration capabilities like API management, data streaming, and real-time events. Attend one or all of the webinars:
- Integration is key to cloud-native application development
- API strategy for cloud-native integration
- Top-5 data infrastructure considerations for AI/ML workloads
- Getting started with Kafka for event-driven architecture (EDA)
No time to watch?
Webinar 1: Integration is key to cloud-native application development
Speaker: Sameer Parulkar
Constant transformation is the reality of modern IT environments. Applications deliver innovations and are a key medium by which businesses engage with customers, employees, and partners. Cloud-native development and architecture helps customers deliver applications quicker and across a hybrid infrastructure, which in turn helps business bring new capabilities to market faster and adapt quicker. But the application landscape is getting complex with increased adoption of Software-as-a-Service (SaaS) apps, customer experience apps, supply chain apps, mobile apps, IoT sensors, edge computing devices, along with legacy apps and other data sources. Integration capabilities help connect data and processes across this ever-changing landscape and successfully adopt cloud-native initiatives.
In this webinar, we’ll cover:
- Increased adoption of cloud-native development.
- Cloud-native technologies like containers, Quarkus, APIs, microservices, Kafka, Camel, and more.
- Integration capabilities like app connectivity, data transformation, API management, data streaming, and real-time events.
- How cloud-native integration capabilities help get the most benefits from cloud-native development.
Webinar 2: API strategy for cloud-native integration
Speaker: David Codelli
Creating and running an API program yields proven business benefits, whether the program specifically involves monetization or not. Many organizations, however, struggle to coordinate the policy and security demands of the API program with the pace and complexity of developing modern microservices. In response, leading-edge companies have adapted their organizations and technologies to unify their API programs with fast-moving cloud-native development.
In this webinar, we’ll cover some of the tools, techniques, and processes employed by companies adapting their organizations and technologies.
Webinar 3: Top-5 data infrastructure considerations for AI/ML workloads
Speaker: Will McGrath & Guillaume Moutier
As more organizations begin to create intelligent applications, simplifying data management and data access is critical to scale your artificial intelligence / machine language (AI / ML) initiatives.
In this webinar, we’ll look at some top data strategies to increase the chances that your AI/ML initiatives will succeed when transitioning from experimentation to production.
Webinar 4: Getting started with Kafka for event-driven architecture (EDA)
Speaker: Hugo Guerrero
With the rise of distributed microservices, the communication patterns for services becomes more important. Join us to take the event journey that can help your architecture move from only REST HTTP APIs to an event-driven architecture.
In this webinar, we'll drill down into replayable events implemented through Apache Kafka and answer:
- What is an event?
- What type of events are there?
- How do events fit in the microservices architecture?
- What are the communication patterns available for services?