We recently had the opportunity to work with a popular quick serve restaurant (QSR) who reached out asking if Flux7 could help speed its developer outcomes for faster time to market. For this global enterprise, the goal manifested itself in a project where Flux7 helped the QSR create one-click automated installations of various products, including Amazon Redshift, through AWS Service Catalog which helped make development more efficient and productive-- through automation that minimized process overhead. Today we’d like to share the story of this AWS case study project.
We recently had the opportunity to work with a privately-held clinical research organization that was interested in updating the systems that its internal team of research scientists uses for data analysis. It was interested in moving to the AWS cloud as the team’s large data-related demands had outgrown its on-premise system and needed the benefit of a highly secure, elastic, high performance computing environment.
In 2018, the number of connected IoT devices is projected to grow to over 23 billion, according to Statista. And these devices will create a volume of 400 zettabytes of data by the end of the year, as reported by Datastax. With such an explosion in device-driven data, it’s important to have a strategy for maximizing the business impact of IoT big data, transforming it into actionable intelligence.
Today we are delighted to be recognized as having achieved AWS Service Delivery Partner status for Amazon Aurora. As you can see from thenews release we issued, the AWS Service Delivery Program is designed to highlight AWS Consulting Partners who have a track record of delivering verified customer success for specific Amazon Web Services (AWS) products.
We have been working closely with a customer who is undergoing a business transformation. As a multimedia equipment manufacturer, the organization has a loyal following of its high quality devices. However, like many companies facing the convergence of markets and new customer demands, the company has embarked on a metamorphosis. Traditionally very focused on hardware, their software was largely ignored even though it offered customers real value. Part of the company’s transformation was a move to treat their software like a full-fledged offering, rather than a free supplement. An upcoming product release marked the first (and biggest steps), in cementing this change in company direction.
There are many reasons an organization might choose Amazon Aurora over the Amazon Relational Database Service (Amazon RDS). Superior performance, greater scalability, and the ability to restart without losing cache are just a few. However, for those organizations who are already running an important application or Website on top of the RDS managed service, it can be a challenge to migrate from it to Aurora, despite the latter’s obvious benefits. After all, you can’t just take down a service that customers expect access to 24x7.
This month’s re:Invent in Las Vegas drew over 32,000 attendees and the show did not disappoint as AWS delivered on its precedent to unveil a number of new features and products at the show. With numerous announcements, AWS news was peppered throughout two days of lengthy keynote sessions, we’ve asked Ali Hussain, Flux7 co-founder and CTO, to weigh in on what caught his attention and where he thinks the most impact will be seen to enterprise organizations like those that Flux7 serves.
AWS Case Studies: DevOps
A Fortune 500 manufacturer was using Hadoop, internal data centers, Rackspace and CenturyLink to facilitate services that connected its customers with data insights using an Internet of Things model. The overarching goal: to facilitate continuous data-driven improvement within its customers’ operations. To help achieve this goal and overcome its Hadoop scaling issues, the company engaged with Flux7, DevOps consulting group and AWS partners. Additionally, the manufacturer sought a global solution that would comply with EU data privacy laws.
Flux7 engineer Ahsan Ali and CTO Ali Hussain collaborated on this post
The rise of IoT has given rise to a new generation of needs in the world of big data processing. Now we need to handle data ingress from many sensors around the world, and make real-time decisions to be executed by these devices. As such it is no surprise we see new services to handle processing of streaming data, such as Amazon Kinesis.
Last week, Amazon Web Services announced the availability of larger and faster Elastic Block Storage Volumes, something we’ve been looking forward to since the original announcement at re:Invent 2014. AWS continues to add rich features to their platform and it can be difficult to stay on top of them, and understand which new capabilities are going to impact an individual business, and how.