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
PII Risk in AI Is an Architecture Problem
AI is moving rapidly from experimentation into enterprise scale. Use cases are expanding, agents are emerging, and data is being pushed into pipelines at increasing speed. At the same time, organisations are trying to keep up with the associated risk. The response is...
What Is Enterprise Architecture Governance? A Complete Guide
Enterprise architecture rarely fails because of bad technology. It fails because of too many good decisions made in isolation. Modern enterprises operate across cloud platforms, SaaS tools, legacy systems, APIs, and data environments that evolve independently. This...
Why Do We Need Release Gates?
Before starting this topic on the importance of Release Gates, lets first understand – what is a Release Gate? A Release Gate can be defined as a milestone or health indicator of a release at that very point in time. Milestones are like stones placed beside a road to...
SQL Server Data Masking: A Complete Guide
Imagine accidentally exposing thousands of customer records just because someone needed a database for testing. Scary, right? Data security is one of the biggest challenges enterprises face when working with SQL Server. This is where SQL Server data...
What is Data Risk Assessment? A Complete Introductory Guide
Data is vulnerable. Every enterprise handles vast amounts of sensitive information, from customer personally identifiable information (PII) to financial records and proprietary business data. Understanding where data is at risk and protecting it is...
AWS Data Masking: A Practical Guide
One careless copy of production data in the cloud can expose sensitive customer information and trigger costly compliance violations. As organizations move more data into the cloud, it’s increasingly common to replicate production datasets across development, testing,...