Data is becoming larger than ever. According to Sagiss, the world’s data will grow by 50X in the next decade. In essence, this means there will be an ever-growing cost for data. What does this means for technology and business leaders? It's increasingly important to manage and control the size, storage, cost, and recovery systems of data in order to run a business with optimized control and minimized costs.
According to a recent survey by LA CTO Forum, the challenges CTOs face in 2019 are complex and rooted in a wide range of areas. From human resources to time management, security to tech debt, it's clear is that the modern-day CTO needs to have a broad skill set in order to achieve success.
Even for someone who works with Amazon Web Services (AWS) on a daily basis, the pace and scale of new announcements coming from AWS can be daunting. For example, in 2016, AWS made 640 announcements covering a range of topics from price drops, new services, and even new features to existing services. We are only three-quarters of the way through 2017 and AWS has already exceeded that number and still going strong with re:Invent (Amazon's annual conference for all things AWS, with features keynote announcements, training and certification opportunities) still six weeks away.
Most people start experimenting with AWS by creating a few EC2 instances and maybe some S3 buckets to get a small application going. Once you start understanding how things work in AWS and have enough knowledge to get a small proof of concept application up and running you start to feel that satisfaction and affirmation that moving to the cloud was the right decision.
The three-tier architecture pattern has been an established best practice for decades. By separating infrastructure into layers, each is inherently more secure and flexible. In the cloud, the same design principles apply. This article focuses on the core principles of the three-tier web application architecture pattern on AWS, including availability zones, load balancers, route tables, gateways, autoscaling groups, and databases.
Tagging in AWS is a foundational practice that enhances visibility, cost control, and operational efficiency across your cloud environment. Whether managing a single application or a vast multi-account architecture, implementing a consistent tagging strategy enables better governance, automation, and cost accountability.
