Deploying at scale -- what does it mean and why does it matter? [Q&A]
One of the popular buzzwords in development circles in recent years has been 'deployment at scale'. Now, while it's nice to have a universally recognized term, opinions about what deployment at scale actually means tend to vary.
So what exactly does 'at scale' mean in the development community and how can companies define their own approach? We spoke to Adam Frank, VP, product and marketing at Armory.io, to find out.
Simplify developers' deployment journey with continuous deployment
Most development teams struggle early in the process of shifting to cloud native application development and deployment. Their existing tool chains that have served them well in the past struggle with them as they attempt to scale their deployment footprint. The last thing they want to do is invest time in becoming experts in deployment. They don’t want to create or troubleshoot a deployment process -- they want to code with a GitOps approach, and know their software has been deployed successfully, is working as expected, and providing value to the customer. How can team leaders satisfy those desires? Automated continuous deployment. Continuous deployment simplifies delivery, ensures the software works at each deployment stage and allows developers to focus on what they do best.
When it comes to the development cycle, faster is better. Companies with higher release rates generate four to five times higher revenue growth than those pushing updates less often. To keep up with the competition, fast and efficient deployment of quality, stable software is the priority.
How to create a faster feedback loop through progressive deployment
Using continuous deployment and progressive deployment for software updates accelerate feedback loops to improve development speed and software quality, giving your company a competitive advantage. In our fast-paced world, early and frequent software deployments increase business performance and revenue. Automated deployments enable faster and more reliable updates.
Companies that have generated higher release rates outpaced growth in companies that have not, achieving four to five times faster revenue growth and 20 percent higher operating returns. But those software updates must be high-quality and satisfy users’ needs. An increasing number of customers aren’t giving brands a second chance -- 32 percent of all U.S. customers would stop doing business with a brand they loved after one bad experience. In addition, reliable software is imperative because outages and downtime caused by failed deployments can cost companies anywhere between $100,000 to $5 million per hour.