KTern.AI's Release Policy

Get to know how KTern.AI manages its Platform release cycles.


The release policy for KTern.AI describes how and when KTern.AI releases are planned. This release strategy is intended to allow customers to benefit from the short innovation cycles of typical cloud deployments, while at the same time providing for long-term stability and investment protection.


KTern.AI plans to deliver innovation through major and minor releases. Minor releases are intended to include additional smaller functional enhancements. Major releases are intended to contain larger innovations and are currently planned on an annual basis.

The release strategy follows the principle of “one innovation pipeline” – that is, the series of releases coming over time combine to form a continued innovation delivery based on an evolving pipeline.

Innovation Cycle

KTern.AI calls its release cycles - Innovation Cycles as it believes its releases are a bunch of DX innovations to its users. There are product releases every 12 months in a year, with 6 major releases significantly.


Innovations Nomenclature

Releases are named after the seasons.

Release versions are named as

Year’s last two digits <YY>, Release month in digits <MM>

E.g. The release in year 2023 & 4th month of April will be known as 2304. Further, you can find the information on 12 release versions happening in a span of 12 months.

1.Muthuvenil (Summer)April2304
2.Muthuvenil (Summer)May2305
3.Kaar (Monsoon)June2306
4.Kaar (Monsoon)July2307
5.Kulir (Autumn)August2308
6.Kulir (Autumn)September2309
7.Munpani (Winter)October2310
8.Munpani (Winter)November2311
9.Pinpani (Prevernal)December2312
10.Pinpani (Prevernal)January2401
11.Ilavenil (Spring)February2402
12.Ilavenil (Spring)March2403

Implementation of New Innovations (Features)

There are many factors that influence our product roadmaps and determine the features we implement. When making decisions about what to prioritize and work on, we combine your feedback and suggestions with insights from our support teams, product analytics, research findings, and more. This information, combined with our medium- and long-term product and platform vision, determines what we implement and its priority order.

Tracking Innovation Cycles

We're continuously improving and updating our products. To see the latest changes, take a look at the KTern.AI release notes.

Product roadmaps

KTern.AI intends to publish a public roadmap for KTern.AI products, and our Cloud Platform. This lets you know what’s coming soon and what we’re thinking about for future updates.

Feature and improvement suggestions

KTern.AI encourages the end-users to suggest improvements and new features for its products. The customer can create feature suggestions, or vote, watch, and comment on existing suggestions, at https://support.ktern.com/portal/en/community/using-ktern-ai.

We get a large number of suggestions and feature requests. Your comments and votes on suggestions help us understand what you’re passionate about and how you want our products to support you and your team. The most helpful information you can provide us when commenting on issues is how a particular suggestion would help you. If you describe your use-case to us, and how the suggested change would benefit you and your team, it lets us gain a much deeper understanding of the need behind the suggestion.

Suggestions often have an impact on what we work on, even if we ultimately choose not to implement a suggestion exactly as it’s described. Our ultimate goal is to understand what you and all of our customers need and to create products that meet those needs. Occasionally, that’ll mean implementing a suggestion as described, but it usually means working to understand the need behind the suggestion and how we can meet that need for as many users as possible.

While we endeavor to update and respond to popular suggestions, the volume we receive means there will often be occasions when we can’t provide an update or response. We don’t provide any compensation or credit for feature suggestions that we implement.

KTern.AI Community

Our Product Managers regularly post articles about new features and changes to the KTern.AI Community. You can comment on these posts, ask questions, and discuss with our PMs and other KTern.AI users.

Release terminology

Platform release contains significant or breaking changes. For example changes or removal of existing APIs, significant changes to the user experience, or removal of a major feature.

Feature releases can contain new features, changes to existing features, changes to supported platforms (such as databases, operating systems), or removal of features. These were previously referred to as 'major' releases by most products.

Bugfix release can contain bug fixes and stability and performance improvements. Depending on the nature of the fixes they may introduce minor changes to existing features, but do not include new features or high-risk changes, so can be adopted quickly. We recommend regularly upgrading to the latest bugfix release for your current version. These were previously referred to as 'maintenance' releases by most products.