Are you currently using a Server or Data Center version of Atlassian applications and wanting to take a step towards reaping the benefits of Atlassian Cloud? If so, there are many considerations around integrations, new features, functionality, dependencies, SLAs and workflow for Confluence, Jira Software, Jira Service Management, BitBucket or whichever apps make up your particular Atlassian stack. It can be overwhelming wondering how to get started.

However, Rome wasn’t built in a day – and you don’t have to change everything all at once. That’s where creating a roadmap to roll out a phased deployment for moving away from your self-managed server or Data Center environment to cloud-hosted Atlassian applications comes in.

With limitless cloud data storage for your organization and the flexibility and scalability of cloud apps, there are significant benefits to cloud vs. a physical data center, if you choose the right cloud solution. These include strong built-in security (which might surprise some); enhanced user management and controls; simplified on-premises infrastructure and more seamless operations; the ability to scale at speed; improved performance; and a huge range of tools and apps.

Enterprise businesses, SMBs and government agencies have long relied on Atlassian for its secure and compliant server product. Now, as the time approaches for the end of life of Atlassian Server products (support ends on 2nd February 2024) it's an excellent time for some Atlassian Server customers to consider migrating to Atlassian Data Center. Of course a lot of Atlassian customers will be making the move to Atlassian Cloud, but for some Data Center is the better choice. Examples of when Atlassian Data Center might be preferable are:

For enterprise decision makers, migrating to the cloud naturally raises a lot of questions around security. Read on to discover the top 10 cloud security concerns. Then get to grips with the best practises to eliminate risk and ensure optimal cloud security in your ecosystem. Finally find out how Atlassian Cloud addresses and overcomes key decision makers’ most common cloud security concerns.

In DevOps, the term CI/CD pipeline, in the software development lifecycle, can be used to mean Continuous Integration and Continuous Delivery or go one step further and mean Continuous Integration and Continuous Deployment. Continuous Delivery extends Continuous Integration by utilising automation to deploy code changes to testing and production at the touch of a button. Continuous Deployment further harnesses automation to enable every change that goes through your production pipeline, and which passes testing, to be released to your customers. It means developers can focus on the build, enabling rapid deployment and a fast customer feedback loop for a better customer experience (CX). For the purposes of this blog post, we will be using CI/CD to mean the wider Continuous Integration and Continuous Deployment pipeline, looking at how this DevOps way of working is currently evolving and demonstrating how it can benefit your workflows and your wider business.

Catapult CX announces partnership with DevOps Institute, to provide the new Assessment of DevOps Capabilities and accelerate clients' DevOps journeys