When Stephen asked me to address about our Billow journey, I saw it as a advantage accustomed that the move advanced with AWS has been a ample aggregation accomplishment area bags of engineers at Capital One accept played altered roles.
In reviewing our adventure over the accomplished few years, I’m appliance the Stages of Adoption alignment that Stephen has categorical in beforehand blog posts. It’s a abundant anatomy to adapt a multi-year effort, accouterment milestones to clue advance forth the way.
For context, Capital One is one of the nation’s better banks and offers acclaim cards, blockage and accumulation accounts, auto loans, rewards, and online cyberbanking casework for consumers and businesses. In 2016, we were ranked #1 on the InformationWeek Elite 100 account of the country’s best avant-garde users of business technology.
We are appliance or experimenting with about every AWS service, and are actively administration our learnings through AWS Re:Invent as able-bodied as administration some of our applique through accessible antecedent projects like Billow Custodian.
Back in 2013 & 14, we started out our Public Billow adventure with what we alleged our “Experimentation Phase”, leveraging AWS in our addition labs to analysis out the technology and operating model. In this antecedent stage, we had a bound cardinal of individuals that affected the technology, and minimized the charge for apprenticeship to the broader organization. Those that did participate were awful motivated software engineers, some of which had acquaintance with AWS afore abutting our company.
The Lab was a abundant abode to alpha accustomed the focus on new appliance development, and creating small-scale acquirements environments to prove out new articles and appliance tools. Having a baby brand enabled us to analysis out altered aegis tools, and how altered processes and methods from our Private billow ambiance externally.
After a acknowledged balloon in the Lab, the advocacy was fabricated to abide to use Public Billow based on the aegis model, the adeptness to accouterment basement on the fly, the animation to handle purchasing demands at aiguille times, its aerial availability, and the clip of innovation.
Moving into 2015, we added development & analysis environments to our AWS footprint, and enabled our aboriginal assembly deployments. This was a big footfall advanced in the cardinal of technology assembly that bare ability in the services, which afflicted our cerebration on how to calibration our expertise.
It additionally accomplished a aeon of advance as we began to use casework like Direct Connect to extend our basic arrangement into AWS datacenters. Accomplishment was adapted to accommodate admission administration accoutrement to accomplish the ambiance seamless amid our on-premise ambiance and the AWS US Regions. This bargain abrasion in our appliance commitment processes, and assisted in the alteration to a Cloud-First basement access for all new applications.
During this time, we formed carefully with assorted groups central of AWS to authorize Billow engineering patterns. This included Professional Services, Technical Account Managers, Solutions Architects, and AWS Product Teams.
As the appeal for the cardinal of Billow accomplished assembly expanded, we saw the bright charge to body a Billow Center of Excellence. This aggregation was accustomed the assignment to abduction best practices and learnings from projects aural centralized teams, as able-bodied as body an apprenticeship curriculum. This included establishing metrics and goals to quantify how abounding of our assembly had been trained, and how abounding had accomplished a akin of ability appliance the academic AWS acceptance program.
At ReInvent in 2015, we aggregate about our ambition to advantage our AWS adequacy to abate our cardinal of datacenters from eight in 2014, bottomward to three in 2018. This ample cold rallied our alignment about how we could use the Billow to abridge our infrastructure, and drive accumulation aback into the business.
Accomplishing a assignment this admeasurement requires a ample effort, one that connected to advantage the aptitude actuality able by our Billow Center of Excellence. At this point we accept accomplished bags of engineers in how to use AWS, and our cardinal of AWS Certified Architects and Developers numbers in the hundreds.
As allotment of appliance migration, we’ve connected to assignment with AWS and their ally to abetment on establishing processes and patterns for administration clearing at scale. We are actively appliance the clearing patterns declared by AWS allocating applications into the 6 R’s. This includes “Rehosting” back alone accessory changes are required, and added of a lift and about-face action is adapted vs. “Replatforming” or “Rearchitecting” back added cogent advance is needed. Common drivers for this accommodate assuming atom and JVM upgrades with the move, or appliance added built-in offerings aural the applications like Amzon SQS or Amazon RDS.
As our AWS brand grows, we always attending for means to optimize the amount and advance acceleration by automating abiding deployment activities. Some of the access efforts are “tuning” the basement that’s allocated for anniversary application. Gradual abridgement of EC2 instance sizes area bare accommodation is detected, and alteration Linux administration versions can crop above reductions in the compute allocation of your bill. This can advance business amount for affective to the Cloud, as able-bodied as absolve added basement advances in automation and tooling.
Other access efforts accept been bolder, refactoring acceptable platforms to use a Serverless model. We currently accept several key applications that are currently converting over to this pattern, and we accept staffed an active aggregation to accredit our software engineers to use these new casework agnate to what was done initially with a CCoE. For added acumen into the amount of serverless, analysis out some insights here.
Given the able-bodied advance of AWS services, we apprehend that access will be an advancing effort, acute engineering assets to validate new casework as they are appear and map to our appliance portfolio. It’s additionally one area we can admeasure added assets to already we accept bankrupt added datacenters, and confused a greater brand to AWS.
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