If you\u2019ve promised your customers that your software product is available for them 24\/7, then you had better take that promise seriously. <\/p>\n\n\n\n
It\u2019s a dog-eat-dog world, and if your app or service is down, there are scores of others waiting to capture your customers\u2019 attention, leaving your business floundering. Frequent downtimes mean customer loyalty takes a huge hit. But that\u2019s not the worst part. <\/p>\n\n\n\n
The worst part is this: software downtimes impact revenue. According to one statistic, downtimes cost large companies anywhere between $1.25 billion and $2.5 billion. Sounds really unfair, given that you were only trying to serve your customers better by adding new features to offer a better experience, doesn\u2019t it? <\/p>\n\n\n\n
So, what\u2019s the solution here? How do you eliminate that downtime problem, especially during holidays like Thanksgiving, Christmas, or Black Friday, where updates and features are highly popular but you also need to be available 24\/7? <\/p>\n\n\n\n
In this blog, we\u2019re introducing the three simplest ways to handle a zero-downtime deployment so that your company is there for its customers and clients whenever they need you. <\/p>\n\n\n\n
Let\u2019s take a look! <\/p>\n\n\n\n
Zero Downtime Deployment (ZDD) ensures that users experience no service interruption during the deployment of new application versions. <\/p>\n\n\n\n
Changes are released only after the full deployment is complete. As deployments occur more frequently than users realize, consistently executing ZDD is crucial to maintaining customer trust, meeting expectations for 24\/7 availability, and delivering reliable, bug-free applications.<\/p>\n\n\n\n
Here are the 3 core ways in which ZDD is carried out and how it benefits companies. <\/p>\n\n\n\n
A blue\/green deployment is quite a good way to accomplish ZDD, especially when you have several critical and large updates<\/strong>. <\/p>\n\n\n\n In the ZDD system, one production environment serves as the primary and is depicted as the \u201cblue\u201d environment. The second production environment is denoted as the \u201cgreen\u201d environment and is considered the standby environment. The updates are first rolled out to the standby (green) environment and are thoroughly tested. <\/p>\n\n\n\n It is when the green environment has stabilized that the traffic is seamlessly switched from the blue to the green environment. <\/p>\n\n\n\n Here are the 3 foundational steps by which a blue\/green ZDD works. <\/p>\n\n\n\n Step 1: <\/strong>Set up a new environment (Green) with the updated version of the application while the current live version (Blue) continues to serve users.<\/p>\n\n\n\n Step 2:<\/strong> Fully test the Green environment to ensure everything works correctly without affecting live users.<\/p>\n\n\n\n Step 3:<\/strong> Redirect all user traffic from the Blue environment to the Green environment. If issues arise, traffic can be quickly switched back. <\/p>\n\n\n\n Canary deployment is a method where a new update is first released to a small group of users or a few servers instead of everyone at once. This makes it easier to watch how the update behaves in a real environment. <\/p>\n\n\n\n Teams can monitor performance, errors, and user experience in real time to ensure everything works as expected. If the update runs smoothly, it is slowly rolled out to the rest of the system. <\/p>\n\n\n\n If problems are detected, the deployment can be stopped or rolled back quickly, limiting the impact. <\/p>\n\n\n\n It\u2019s typically used when we want to ensure uptime for new or risky features with frequent updates. <\/strong><\/p>\n\n\n\n The canary deployment works in the following 3 logical steps: <\/p>\n\n\n\n Step 1: <\/strong>Deploy the new version to a limited number of users or servers while the rest continue using the stable version.<\/p>\n\n\n\n Step 2:<\/strong> Closely track performance, errors, and user behavior to ensure the update is stable and working as expected.<\/p>\n\n\n\n Step 3:<\/strong> Gradually roll out the update to all users if successful, or stop and roll back the deployment if issues are found.<\/p>\n\n\n\n Rolling deployment updates a live system by rolling out changes to a few servers or nodes at a time while the rest continue running normally. By applying updates step by step, it reduces the risk of downtime and makes it easier to pause or roll back changes if any issues occur.<\/p>\n\n\n\n Step 1: <\/strong>Deploy the new version to a small set of servers or nodes while the rest continue running the current version.<\/p>\n\n\n\n Step 2: <\/strong>Users are still served by the unchanged servers, so the application stays available during the update.<\/p>\n\n\n\n Step 3:<\/strong> Continue updating servers in batches. If a problem appears, the rollout can be paused or rolled back quickly. <\/p>\n\n\n\n