Solving Top Application Delivery Challenges with
a No-Code Approach
Today, we are excited to announce the release of ShuttleOps. A new, no-code CI/CD platform that enables rapid delivery of your application to the cloud.
At ShuttleOps, we have a passionate group of DevOps professionals who have enabled digital transformation at some of the largest organizations in the world. Through these engagements, we saw a consistent set of challenges across industries, in SMB and Fortune 20 companies alike. These challenges spanned technology, people, process and culture.
The top challenges we identified in application delivery can be broken down into these three main problem areas:
- The Process Problem: Slow & inconsistent operating in silos
- The Application Delivery Problem: Complex & hard to scale technologies
- The People Problem: Lack of access to skilled resources
Solving these challenges became our mission. With an unwavering drive to enable customers of all shapes and sizes to succeed in their DevOps initiatives, we started the journey of creating a fast, simple and secure way to deliver applications. When developing our no-code strategy in ShuttleOps, we spent a lot of time considering why the current coded CI/CD tools were failing customers.
The Process Problem: Slow & Inconsistent
Manual and semi-automated processes across a variety of tools and teams will cause delays. Consistency, repeatability, and standardization are key to unlocking true velocity in application delivery.
Many organizations admit they have less than ideal processes for delivering applications. Some use manual build and deploy processes with manual hand-offs between teams. These processes rely on individuals to push changes from their laptops and apply application configurations to environments by hand.
Those further along in DevOps maturity have some level of automation using existing CI/CD tools, but still struggle to address business process requirements. Requirements such as approvals, separation of responsibilities, audits, SLAs for deployment and general visibility for the business. This introduces additional complexity and requires customized processes across DevOps tools, which can be daunting since it adds another layer of integration and management.
The Application Delivery Problem: Complex & Hard to Scale Technologies
The vast number of tools present in the end-to-end application delivery pipeline is one of the main technical reasons that DevOps initiatives fail. It’s a complex ecosystem. Not only do teams have to implement each point solution, but they also need to determine how to integrate the tools and the pattern(s) to leverage the technology. It’s not impossible but it is extremely challenging. Assuming you’ve overcome that hurdle, the next problem is scaling across the organization. If left as an afterthought, it can come back to bite.
The People Problem: Lack of Resources
Access to Skilled Resources
The code-based DevOps approach that has emerged over the years has presented some unique challenges. Developers are well equipped for an ‘everything-as-code’ model – and while many in IT and Operations also have coding skills, it is not usually their core focus or capability. This creates challenges when trying to take the work product of developers (the app) and move it through the stages into production.
The diversity of skills can cause contention among teams when defining ownership of the various pieces of the application delivery pipeline. Regardless of who ends up assigned to the pieces, time is usually a challenge. Managing the demands of a regular 9×5 job, while finding time to implement and manage DevOps solutions tends to cause added stress, frustration and incomplete solutions.
Finding experts who are knowledgeable about all of the tools in the application delivery pipeline is challenging. It’s often more difficult to retain them, as they are in high demand. We’ve seen multiple DevOps initiatives get stalled or go off the rails due to highly skilled individuals jumping ship in a highly competitive job market.
One part of a successful DevOps journey that is often overlooked is the effort required to maintain automation. It doesn’t maintain itself. Just like everything else, the tools, frameworks and languages that make up automation require maintenance.
A great example of this is Google upgrading from Terraform 0.11 to 0.12. It took Google over 10,000 human hours spread across 4 teams to do this upgrade (HashiConf 2019, Seth Vargo’s Closing Keynote).
It’s very unlikely that most of us will ever have that amount of infrastructure to automate, but time is still required to maintain what we do have in place.