How to Build Resilient, Highly Available Microservice-Based Architectures Series

What if you could combine the ease and efficiency of Kubernetes architecture with the high performance and low latency of Redis? Our Tech Talk shows you how to do just that. In this session, you learn how Redis Enterprise on Kubernetes delivers benefits like automatic scalability, persistent storage, simplified database endpoint management, zero downtime upgrades, and more.

Microservice architectures can be a game-changer for business agility and incremental application modernization. The pandemic and the current business climate have accelerated the motivation to re-platform legacy apps as cloud-native however, so have the challenges as modern applications need to respond in real time. According to IDC’s InfoBrief “The Impact of Application Modernization on the Data Layer”, 89% of the 300 North American enterprises surveyed already use microservices, and 66% leveraged Kubernetes. That might all sound great for microservices. However, the same enterprises also said microservices only accounted for 17% of their application portfolio due to a litany of data management issues when deploying at scale.

We explore how Redis Enterprise, the real-time data platform, helps navigate the trade-offs and complexities of deploying at scale including a demonstration of a retail-banking microservice deployment using the Redis Enterprise Operator for Kubernetes on Red Hat OpenShift.

Key Takeaways:
·         Learn best practices for building microservices leveraging a real-time data layer
·         How DevOps teams can easily manage, administer and deploy Redis clusters on Kubernetes
·         The critical capabilities of cloud-native Redis Enterprise make it the ideal data platform for real-time microservice-based applications

Organizations must make data-driven decisions and respond quickly to changing customer needs in today’s rapidly evolving digital landscape. Customers are demanding intelligent applications that can keep up with their needs.

However, building these intelligent applications creates its own set of challenges. That’s where we come in.

These applications harness the power of artificial intelligence and machine learning, employing ultra-low latency databases to provide real-time insights, enabling organizations to better serve their customers.

Watch our on-demand session to learn how the joint technologies from Redis and Amazon Web Services (AWS) can help make it easier for your company to build these intelligent applications leveraging Redis Enterprise Cloud on AWS.

During this on-demand webinar, you will learn:
- What benefits customers who choose Redis Enterprise Cloud on AWS are seeing
- How to create applications with Amazon SageMaker and Redis Enterprise Cloud that can more accurately predict what your customers need
- How a unified database can help you stay ahead of the competition and better serve customers with real-time insights

As companies invested in their digital transformations, one side effect was the proliferation of data environments and varying database instances. With so many systems to navigate, many organizations have fallen prey to operational disruptions and now struggle to achieve the high level of performance and scalability that their transformations promised.

To truly maximize ROI and get the most out of their data, companies must contain data sprawl and introduce new database management. The right database-managed services will make data readily accessible, without compromising on reliability or performance. As businesses increasingly migrate to the cloud, it will only become more critical that they partner with a database provider designed for that infrastructure.

In this webinar from Redis, Google Cloud, and ESG, industry experts will pull back the curtain on database disasters and reveal the path toward more efficient data handling, featuring specific customer stories of Redis on Google Cloud.

Watch to learn more about:
- Which challenges are bringing companies to the boiling point and forcing change
- How to identify the most critical capabilities of a database-managed service
- The benefits Redis customers can achieve running on Google Cloud, and more

Hybrid Cloud gives you the best of both worlds: the advantages of the cloud and the control of local infrastructure. And thanks to the portability of Kubernetes, Redis Enterprise makes hybrid deployment easier than ever, on the cloud and on-prem.

Watch our Tech Talk to learn how to maximize flexibility and scalability, while reducing complexity and costs. In this session, we also show you:
- How a hybrid deployment increases flexibility while ensuring data security
- How Kubernetes with Redis Enterprise lets you easily scale up and down to handle spikes in throughput
- How Hybrid Cloud simplifies disaster recovery without dedicated backup IT Infrastructure

Join our experts to explore the easy way to deploy Hybrid Cloud.

A microservice architecture can be a game-changer that helps organizations reduce barriers to application modernization and cloud migration journeys – and let them beat their competition to market.

However, breaking up a monolithic application into microservices usually creates a more complex system. Redis Enterprise reduces that complexity by caching data and optimizing data transfer between microservices – which offers the additional benefit of reducing latency and, consequently, improving performance.

Microservices also improve resiliency and provide read-optimized queries for global data, which means an organization can simplify its processes and automate them to reduce risk and make its architecture more mobile – without adding overhead.

The result is a single data platform for caching that supports optimal data models — enough to support each microservice in isolation — and acts as a lightweight message broker for inter-service communication. This enhances developer productivity, provides faster time to market, and streamlines an application’s architecture.

This webinar shows how Redis Enterprise has helped customers simplify microservice-based architecture challenges in four ways:
- Query caching
- CQRS pattern
- API gateway caching
- Interservice communication

Microservice-based architecture is an architecture style that helps development teams launch new products faster, scale more easily, and respond better to customer demands while minimizing costs and complexity. The result is that enterprises reduce time-to-market for new service development, often from projects measured in months to days.

In a microservices environment, services running in real time must compensate for networking overhead. Redis Enterprise delivers sub-millisecond latency for all Redis data types and models. In addition, it scales quickly and linearly to almost any throughput needed.