Infrastructure Automation

DevOps-as-a-Service

Out-of-the-box compliant infrastructure automation, empowering developers and securely enabling self-service.

What is DevOps as a Service?

DevOps-as-a-Service or “DOaaS” or “DaaS” is a term used to describe a software platform that automates the cloud infrastructure provisioning of a secure and compliant application. It does so by translating high-level application specifications into detailed and fully managed cloud configurations utilizing best practice around security, availability, and compliance standards.

The adoption of Service Oriented Architecture at AWS and Azure gave birth to the original DevOps culture where Developers would own the end-to-end lifecycle of an application from coding and running deployments to maintaining uptime of the application. Unfortunately, today’s DevOps is not about Developers owning operations, but rather operators building automation for their own operational efficiencies.

Service Oriented Architecture to DevOps

In the traditional Software-as-a-Service (SaaS) industry, around 2013, companies had three distinct organizations: Development, QA and Operations. Developers built the code for the application that was tested by QA and the operations team was responsible for deploying it in production and managed the uptime of the service. Applications were largely monolithic with very few moving pieces. It was fairly easy for development teams to come up with deployment topology along with operations. The topology also largely remained unchanged through the release cycles. Cloud, microservices, and containerization were not mainstream.

While this was state-of-art then, inside AWS in Amazon which was already 8 years old, there was a different application technology and supporting that was a different organization structure and culture. They had mastered what was known as a Service Oriented Architecture (SOA). Applications were broken down into scores of sub-modules called services which interacted with each other using APIs.

SOA soon came to be known as microservices, there were two obvious advantages

  • The release cycles were exponentially faster because individual services had a smaller footprint.
  • Failures in one service had a limited impact on the overall system.

This new way of doing things significantly increased the infrastructure and operations complexity simply because of the number of moving pieces, the associated configuration management and distributed security footprint. The silos of development, QA, and operations could no longer scale. There would have been too much back-and-forth between developers who owned the configurations and APIs and operators who were responsible to apply these and maintain uptime. AWS solved this problem by creating a culture that came to be known as “DevOps.” The literal meaning of the word ‘DevOps’ is Developer Operations i.e., Developers owning the full lifecycle of the software application from coding and deployment to operations that includes maintaining uptime.

Benefits of DevOps-as-a-Service

Developer self-service

A DevOps platform should be able to automate most of the low level tasks and only expect users to specify high level intent. This will ensure that developers can get things done without knowing a lot of low level details. While DevOps automation is a broad spectrum, one should strive to automate 95% or more functionality out-of-the-box in the platform.

Time to compliance

Compliance to regulatory standards have become now a table stake requirement to operate a cloud infrastructure. Security and compliance cannot be an afterthought for a DevOps platform. Thus an important metric should be time to compliance and in case the organization is operating in multiple verticals then all of those would need to be supported. DevOps infrastructure automation platforms approach is intrinsically secure and compliant as it bakes in the compliance controls during infrastructure provisioning.

DevSecOps bottlenecks

Eliminate months building and maintaining your own Internal Developer Platform (IDP). DevOps-as-a-Service automation platforms easily provision your cloud native applications and migrates on-premise applications to the cloud. The strength lies in the fact that the platforms control the end-to-end configuration stack covering more than 80% of controls in various security standards.

Cloud migration

Performing a cloud migration requires careful planning, coordination, and automation. There are 4 key work streams: Application Migration, Data Migration, Infrastructure Setup, and Security Controls. DevOps-as-a-Service makes automation and security a no-op so engineering teams can focus on the product rather than spending precious time and effort on standardized configurations. Easily migrate on-premises to Cloud or Cloud to Cloud with seamless automation and unique data migration techniques to minimize downtime.

duplocloud-software-platform-diagram-workflow-to-cloud-services

DevOps-as-a-Service Platform

The DuploCloud platform can be accessed through a no-code web interface, in addition to DuploCloud’s low-code Terraform provider and API.

The comprehensive DevOps automation software for security and compliance

DuploCloud auto-generates 90% of the manual code. Baking in best practices for security, availability, and compliance standards for cloud integrations. This is done by taking a high-level specification provided by the user; translating them into low-level details for fully managed cloud configurations, to dynamically generate all of the necessary Infrastructure-as-Code (IaC) for your applications. 

Related Content

Get a 1-on-1 platform demo

What can DevOps-as-a-Service do for your business?