Cloud technology has made it possible for everyone to innovate quickly, in completely new ways and at a far lower cost than ever before. For this reason, the future pioneers in every sector will be whoever can maximize the myriad of opportunities availed by emerging cloud technologies.

At Easy Cloud, we are cloud-neutral and give small businesses and enterprises the ability to adopt their cloud of choice — Amazon Web Services (AWS), Azure, Google Cloud Platform, or other cloud provider — quickly, efficiently, and at scale. Freeing our customers from traditional IT models enables them to innovate and become tomorrow’s leaders.

Established in 2010, Easy Cloud began with the goal of helping small to medium businesses migrate to Google Workspace and Microsoft Office 365 for email and operations, WordPress for websites, and Untangle for security.

In more recent years, we have evolved and entered the DevOps space by leveraging the popularity of emerging cloud providers such as Amazon Web Services, Microsoft Azure and Google Cloud.

What Is DevOps?

DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications quickly and efficiently.

Under a DevOps model, development and operations teams are no longer working independently in separate departments. Sometimes, these two teams are merged into a single team where the engineers work across the entire application lifecycle, from development and test to deployment to operations, and develop a range of skills not limited to a single function. These teams use practices to automate processes that historically have been manual and slow. They use a technology stack and tooling which help them operate and evolve applications quickly and reliably.

Automate and Treat Everything as Code

Automation of the build, test, and deployment processes—plus treating infrastructure (and ideally security) as code—are key attributes of DevOps. It all starts with Agile development and CI/CD, with processes and tools that allow for faster, continuous, and more effective development and testing. Potential problems are identified and resolved quickly, resulting in well-tested, higher-quality applications and features that are delivered to constituents faster.