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Everything to Know about Value Stream Management

The complexity of software delivery is only increasing. At the same time, it keeps growing in significance because it is a crucial core competency for businesses across all sectors, regardless of their goods or services related to value stream management. Organizations must be high-performing ones; they cannot only be software companies. And accepting this task can be difficult.

Aligning business goals with IT activities, speeding up the software delivery process, and enhancing software quality are not easy tasks. It is still unknown ground in many ways. For instance, tracking progress on the DevOps journey is still difficult. Without a defined plan for attaining these improvements, the software delivery factories of many firms become chaotic and under constant strain.




What is a Software Value Stream?

An action that is required to supply software products or services to clients is included in a software value stream. Customers ultimately decide what software items are worth. Customers that receive consistent value from software products or services will generate business value. Each step in the value stream should create "value" according to the customer-centric definition of the term in order to maximize return on investment and the capacity to please customers. The techniques of vulnerability management actually work for managing vulnerability. Let's say a company uses value streams to control software delivery. In that situation, it can determine which processes generate value and which result in waste to optimize how work moves along the value stream.


Measuring Work Flowing through Value Streams

Operational silos between tools and teams must be eliminated before value streams can be managed from beginning to end. Teams may see the flow of work across the business in real time by integrating value stream management platforms with toolchains across the portfolio. This makes it possible to measure what is currently in the value streams, how they arrived there and trends over time.


DevOps Metrics


Teams begin by focusing on the DevOps metrics that reflect the stability and throughput of their value streams. These metrics are employed as gauges of the state and evolution of your value stream. The four main DevOps metrics are as follows:

  • Mean time to repair – How long it takes to restore service when a service incident or a fault that affects users happens within the team's value stream (for example, an unplanned outage or service impairment).

  • Deployment frequency – How often a team's value stream sees code deployed to production

  • Lead time – How long it takes for the team's value stream to run code after it has been committed successfully

  • Change fail rate – The proportion of production changes that cause service degradation (such as service outages) and hence necessitate corrective action (such as a hotfix, rollback, etc.) within the team's value stream.



Bottom Line

It’s easy for organizations to get started with value stream management. It begins by creating a value stream map, identifying the desired business outcomes, and implementing a value stream management platform. To deal with vulnerability management, it is always important to remember the basic functionalities related to the value stream.






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