Increase hardware utilization while scaling elastically

Nearly every digital transformation initiative includes a cloud strategy. And, nearly every industry analyst will tell you, if you want to take advantage of the cloud, you can’t lift and shift. Your applications need to be architected for the cloud. In fact, Gartner is recommending you design every new application to be cloud-native, even if you plan to run it on-premise.

Why Lightbend

Because our Platforms are actor-based and use asynchronous message passing, they more densely utilize commodity hardware compared with traditional systems bloated by locked threads. Plus, the Platforms scale up and out effortlessly on multi-core and cloud computing architectures. They handle bursty traffic with ease, without requiring hardware over provisioning, so you can reap the financial benefits of elasticity. The cost savings are huge.

Jeffrey Hammond with industry analyst Forrester discusses why the actor model is an ideal fit for microservice-based architectures and cloud computing in, How To Capture The Benefits Of Microservice Design. Side benefit for your traditional Java developers: Hammond notes a much larger proportion of the developer population finds the actor model approachable compared to writing multithreaded code within object-oriented frameworks.

Report

Reduced AWS footprint by 80%

As software companies grow by orders of magnitude, the technologies that drive legacy products need to be replaced to keep scaling costs in line. Hootsuite's modernization from monolith to microservices using Lightbend is such an example.

In their journey, Hootsuite started by decomposing one API that was the single biggest blocker to scalability. Then, over time, they deconstructed their monolith piece by piece. The extraction of each microservice came with its own complications, but they have all generally followed one development blueprint. As a result, Hootsuite was able to reduce their AWS footprint by 80%.

Case Study

Saved 50% on infrastructure, no downtime

After experiencing a horrific—and very public—downtime, Walmart Canada was in danger of losing customer loyalty and needed to react quickly to address the public outcry surrounding its unreliable e-commerce experience.

The microservices modernization strategy leveraged Oracle ATG and Endeca on the backend while building a greenfield mobile-first user experience on the front end. For the first time in its history, Walmart didn’t experience any downtime on Black Friday and Boxing Day, achieving the elusive 99.999% uptime while shaving 50% in infrastructure costs. Additionally, conversions were up 20%; mobile orders up 90%.

Case Study
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Welcome to the Lightbend Enterprise Suite


You are excited about Reactive applications. And you want to build, manage and monitor them easily and reliably in your environment.
We get it. So we built Lightbend Enterprise Suite to help you do that, and more, with a range of powerful Application Management, Intelligent Monitoring, Enterprise Integration and Advanced Tooling features.

×

Welcome to the Lightbend Enterprise Suite


You are excited about Reactive applications. And you want to build, manage and monitor them easily and reliably in your environment.
We get it. So we built Lightbend Enterprise Suite to help you do that, and more, with a range of powerful Application Management, Intelligent Monitoring, Enterprise Integration and Advanced Tooling features.