Software Release Risk Management
by Rohit Gupta
How are you managing the software release risks associated with constant change?
According to a survey conducted in 2014, more than 50% of participants had major releases occur every one to five years, with annual releases being the most common.
In 2016, however, it was reported that just 10% of major releases occur annually or longer. More than half of major releases occur more frequently and span monthly to quarterly release cycles.
Frequent release leads to risks such as expenses, delays, failed deployments, lack of visibility, outages and much more.
The quality of the product cannot be compromised due to frequent releases as it can adversely impact customer experience and the business.
What you need to manage the risks effectively;
- You need a complete view into all dependencies between teams and processes.
- Better reporting.
- View of all open incidents & defects.
- More control on gates, these allow you to plan ahead and manage risk.
- Automation to enable faster deployment, and eliminate errors from manual processes. This will also lead to more frequent & reliable releases.
In this fast paced environment where complexity and scope of business software increase, you need a holistic view of what’s going on and proactively prevent delays and failures. This will also allow you to plan ahead and release predictably to drive measurable business results from successful releases.
The story and importance of effective and “Agile at Scale” release management hits the bottom line of how well an organisation is performing for it’s customers, employees and ultimately it’s shareholders.
enov8 pride themselves with delivering a unique market leading solution to the problem with ecosystem, an extensible holistic release management platform inclusive of the following capabilities.
- Enterprise Release Management (Portfolio Release Management).
- Streamlined Implementation Planning via Runsheets.
- Release Automation & Deployment Version Tracking.
- Test Environments Management.
- Holistic Test Data Management.
- Seamless and Advanced Integration.
- Data Center and Cloud Migration Management.
Promoting Transparency, Control & Productivity.
To learn how ecosystem can help you better manage and mitigate the risks associated with software release management, contact us for a demonstration today.
Relevant Articles
Securing Microsoft Fabric Data for AI
Executive Summary Microsoft Fabric is rapidly becoming a core platform for enterprise analytics and AI. As organisations increasingly use Microsoft Fabric to support artificial intelligence and machine learning initiatives, the importance of protecting sensitive data,...
What is Release Management? An In-Depth Explanation
Do you want to ensure that your software releases meet the highest quality standards, while also satisfying security and compliance requirements? Release management is a crucial process that can help you achieve this goal. In today’s fast-paced business world, where...
What Is a Test Mesh? IT & Test Environment Meshes Explained
In the world of IT and software development, organizations are continually faced with the dual challenge of compliance and agility. Much like the “Data Mesh” concept, which has gained prominence in the world of data management, organizations must adhere to strict...
What is a Data Control Tower?
In the landscape of modern business, where data sprawls across platforms and systems, maintaining a clear view and control over this vital asset is crucial. A data control tower (DCT) emerges as the beacon of control, offering a centralized system that orchestrates...
Smoke Testing: A Detailed Definition and Guide
In the realm of software development, ensuring the reliability and functionality of applications is of paramount importance. Central to this process is software testing, which helps identify bugs, glitches, and other issues that could mar the user experience. A...
What is Observability? A Foundation for SRE
Site Reliability Engineering (SRE) is a methodology for building and maintaining large-scale, highly available software systems. It involves applying software engineering practices to operations in order to increase reliability, reduce downtime, and improve the...
