The idea of the trading floor conjures images of people in funny jackets gesticulating wildly and madly scribbling on notepads when they aren’t shouting orders. Yet, this hectic vision of a trading floor is slowly becoming a relic of the past as trading goes virtual and traders handle more and more business through the Internet. In this new paradigm, those trading firms who are primed for speed have a clear advantage. As a result, we recently had the opportunity to work with an investment firm who was looking to gain competitive advantage by migrating its on-premise systems to AWS with a goal to grow the robustness of its trading, analysis and financial management functions while maintaining a secure posture -- all without breaking the bank. Read on for this AWS migration case study.
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 a recent blog, we shared the AWS case study of a major US airline and how we used the Kubernetes project for managing production-grade Kubernetes (K8) clusters, KOPS, to run its AWS-based K8 clusters. The goal was to host the company’s applications in an AWS-enabled framework, which the team at Flux7 helped implement in the form of its Enterprise DevOps Framework (EDF). As promised, today we will share the second part of their story, illustrating how we used Ubuntu CIS benchmarked images to help proactively safeguard against security threats.
Today we’d like to share the story of how the DevOps team at Flux7 worked with a Fortune enterprise customer to help them automate their AWS VPC creation, which reduced several days of manual, repetitive tasks into a simple user interface, concluding with a single click. Saving this firm days of manpower has meant that these resources can now be used for more strategic, business-impacting activities. Read on as we share a business view into this AWS case study.
As we look back on 2017, it was a year full of transition. And, one in which many organizations began -- or continued to -- invest in their transition to cloud computing. According to research by IDC, public cloud services spending was expected to reach $128 billion in 2017, a 25% increase over 2016. Much of this was driven, according to polling by TechTarget, by senior IT executives looking to increase innovation, and reap cost efficiencies from the cloud. Indeed, those among this audience who grew their 2017 budgets, 64% said they would increase their budget for cloud services, including computing, storage and applications -- more than any other area TechTarget asked about.
As an AWS Premier Consulting Partner, we are often asked about using the Kubernetes container management system within AWS. While Google created Kubernetes (K8s), Google’s Cloud Platform is generally seen as a better fit for running K8s clusters. However, until the recent re:Invent announcement of EKS, KOPS, the Kubernetes project for managing production-grade K8s clusters, was the best tool to deploy and manage K8s clusters in AWS. Which brings us to the topic of today’s blog, a customer story of how we used KOPS to run AWS-based K8s clusters. Stay tuned for the second part of today’s AWS case study in which we discuss the details of doing so with Ubuntu CIS benchmark images.
We recently worked with a data analytics organization who specializes in data-based decision support within the insurance and financial services industries. Their goal was to migrate their Chef community server to an AWS OpsWorks for Chef Automate (OWCA) server in order to reduce management overhead and accelerate high velocity apps. This project was a step in the company’s larger plan to create a DevOps highway in which it sought orchestration automation, configuration management, and CI/CD with AWS services and Chef.
We recently had the opportunity to work with a pharmaceutical company that is breaking new ground when it comes to treatments for life-threatening ailments like cancer. Seeking to innovate across the organization -- from R&D to IT -- this company reached out to the DevOps team at Flux7 to help it migrate its Cloudera Hadoop-based analytics systems to AWS. Specifically, the vision was to take all of its diverse data sets to the cloud, establishing a highly available and secure environment where the firm could conduct data modeling and data analysis while protecting sensitive data and ensuring GxP and HIPAA compliance. Read on for the full AWS case study.
We are delighted to announce our recognition today as having achieved AWS Service Delivery Distinction for Amazon Cloudfront. AWS CloudFront is a preferred service by our DevOps consulting team for its help in improving the user experience. By using the native AWS service as part of an integrated solution, we can design and build solutions that provide fast, stable and secure content delivery.
We work with a variety of healthcare companies and recently had the opportunity to work with one who brings the fun of fitness to customers. This firm pairs motivational workouts with gamification elements to ensure that its customers attain health and fitness.