Name: Using the Hazelcast Platform To Implement gRPC Based Microservices
Start: 2024-05-02T03:43:00Z
End: 2024-05-02T03:43:45.000Z
Location: BrightTALK

Hazelcast modernizes applications with a unified real-time data platform to act instantly on all data to create new revenue streams, mitigate risks, and operate efficiently. Top brands trust Hazelcast to simplify real-time architectures for next-gen applications requiring high-performance at scale, security, and resilience. Unlock instant action. Visit hazelcast.com.

Payment processing architectures are rapidly evolving in response to customer demands for a seamless experience and regulatory requirements; however, many businesses still rely on outdated platforms, risking market share to more agile alternatives.

The good news is that there are modern architectures and infrastructures that are much easier to integrate with legacy systems than businesses might be aware of.

In this live webinar and InfoQ-moderated Q&A, we will discuss:

The differences between legacy payment processing solutions and modern architectures (and how the former can integrate with the latter)
Approaches to reducing payment costs and future proofing for business growth
Examples of successful real-world payment processing architectures and deployments

Modernizing Payment Processing Architectures

Modernising bank payment platforms for new formats and functionality is critically important – learn from successful industry examples.

New standards – and new competitive threats – are emerging that require financial institutions to carefully consider changing or upgrading their legacy payment systems. Just keeping up with the industry and regulators is already a challenge, though leading banking software vendors are also finding ways to speed up transaction processing and service delivery platforms for their customers. Advanced tools and AI innovations have been developed specifically to leverage the latest ideas and technology.

What will it take for a bank or other financial services provider to compete, and what are some of the system enhancements required to process payments in this new world? How can financial institutions help their clients, especially in the corporate sector, take advantage, for example, of ISO 20022’s new richer data fields and extended reporting capabilities, while protecting themselves from fraud and other disruptions to daily business operations?

Certainly, costs must be managed, and as with any expenditures, total cost of ownership (TCO) as well as ancillary benefits are critical factors for banks to weigh in making the right choice of platform providers. Robust return on investment as well as flexibility for the future are part of the price of admission for financial services companies, and also for their customers ‘paying to play’ in the emerging payments marketplace.

Watch this webinar, hosted in association with Finextra, to join our panel of industry experts who will discuss how financial institutions can evaluate their readiness to handle and capitalise on the latest payment processing advances.

Payments systems are evolving quickly: is your institution ready?

Join our webinar to explore how Hazelcast, a leading unified real-time data platform, addresses the key challenges encountered in the microservices maturity journey.

In this session, we will delve into the intricacies of building and scaling microservices architectures and discuss how Hazelcast provides robust solutions to enhance performance, scalability, and resilience.

We will cover practical examples of how you can:

Enable seamless state storage
Facilitate microservices integration
Leverage the powerful Hazelcast computation engine
Additionally, the webinar will shed light on ensuring continuous development through Hazelcast’s advanced features. From distributed caching to real-time data processing, discover how Hazelcast empowers organizations to overcome obstacles, enabling them to achieve greater agility and efficiency in their microservices evolution.

Don’t miss this opportunity to gain insights into optimizing your microservices ecosystem with Hazelcast’s innovative solutions and practical use cases.

Accelerating Microservices Maturity: Unleashing the Power of Hazelcast

Welcome to our first installment in our Architect Tech Talk series where we peel back the layers of sophisticated tech solutions and spotlight the visionary architects shaping the digital landscapes of different sectors. Today, we spotlight fraud detection in financial services, a topic that marries cutting-edge technology with the crucial need for security and precision. In a world teeming with financial transactions, fraud is not just a possibility but a looming threat, demanding razor-sharp vigilance and sophisticated tools to counter its every move.
Learn more about fraud detection: https://hazelcast.com/use-cases/fraud-detection/
Learn more about Hazelcast: https://hazelcast.com/

Architect Tech Talk: Fraud Detection in Financial Services

In this session, we dive deeper into event-driven microservices with an example from the IoT space. We start with a review of the application architecture and a demonstration, and we finish up by walking through the code. Along the way, we learn, in concrete, hands-on terms, how to implement high-performance, context-aware, stateful event-processing microservices with Hazelcast.

Topics covered:

Recap principles of event-driven architecture
Discussion of how the principles apply in the context of a specific example
A short demonstration of event-driven microservice with Hazelcast
Code walk-through

Event-Driven Microservices with Hazelcast – A Look at the Code

Faster time-to-market, better fault tolerance, improved scalability—there are many reasons organizations are turning away from monolithic applications and embracing microservices. Breaking down application functionality into bite-sized chunks can yield many advantages in the world of modern application development. This ongoing shift coincides with another indisputable reality of today’s businesses: the demand for real-time data. From transactions to IoT devices, data is not only streaming into organizations at higher volumes and rates of speed, but much of it needs to be acted upon as events occur to deliver any value. To fully realize the benefits of a microservices architecture, new data management approaches that are equally fast and flexible are essential. There are numerous challenges, including increased complexity, data consistency, testing, and monitoring.

Randy May, principal architect at Hazelcast joined DBTA’s webinar, Building and Managing a High-Performance Microservices Architecture, to identify the challenges and solutions in adopting microservices architectures while simultaneously incorporating real-time data practices.

Building and Managing a High-Performance Microservices Architecture

Streaming data platforms and stream processors are becoming increasingly important as companies strive to extract value from newly created data and to process data-in-motion. Some companies don’t even realize they have a need for a streaming data platform until the benefits are explained to them – they are used to dealing with delays in processing data, maybe using batch processing in their data lake to extract that business value, long after the data was produced.

We will review GigaOM’s findings about Streaming Data Platforms with Andrew Brust, Principal Analyst at GigaOM and Blue Badge Insights, and then explore practical use cases and applications in financial services and other industries for architects and developers who are looking at how they can take full advantage of the benefits of streaming data platforms. We will explore how streaming data platforms like Hazelcast can be used for application modernization including how it can help transform monolithic applications to be more agile through a microservices architecture as well as a pipeline architecture.

Streaming Data Platforms: Harnessing Real-Time Data for Instant Action

gRPC is a popular framework for building distributed applications. The Hazelcast Platform has built-in support for invoking gRPC services from within stream processing pipelines.

In this session, we’ll see how the interaction of gRPC and Hazelcast can be further extended to allow gRPC services to be implemented as Hazelcast Jet Pipelines, by implementing a general-purpose, reusable gRPC Source and Sink for Jet.

Key takeaways:
- Achieving higher concurrency and improved latency with gRPC services compared to other back-end implementations
- Supporting AI and ML workloads with gRPC
- Implementing REST or HTTP services in Jet

Using the Hazelcast Platform To Implement gRPC Based Microservices

gPRC

Microservices

Streaming

stream processing

Distribution

Application Modernization

Javascript

Python

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Using the Hazelcast Platform To Implement gRPC Based Microservices

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