5 Steps to Continuous Delivery and APM Success
Solving the Continuous Delivery Mystery
November 06, 2012
Ashley Owen
Share this

Continuous delivery, continuous deployment and continuous integration — what do these all mean and are they the same thing, or even related? There is a lot of confusion around continuous delivery, but what isn't a mystery is that this topic and manner of releasing applications into production is a hot button issue in the industry right now.

Continuous delivery is defined as releasing into production high quality software quickly, through build, test and deployment automation. Basically the process allows organizations to release software into the “wild” in minutes, opposed to days or even weeks.

Test automation is the sticky point for many organizations opposed to continuous delivery — yes, we said opposed. Similar to how many IT organizations balked at adopting Agile development at first, organizations are doing the same for continuous delivery. The reason: it is a relatively new paradigm shift to traditional software deployment. The controversy: there is much less emphasis on the testing phase of the process than with more traditional software development and release.

What everyone can agree on is the driving force behind continuous delivery: the speed that software can be delivered into production is unmatched compared to traditional software release trains.

DevOps, Continuous Integration and Lean Computing

There are three aspects that make up continuous delivery: DevOps, continuous integration and lean computing – tying these together is when the magic happens.

The DevOps community focuses on infrastructure as code, monitoring and improved collaboration between the houses of development, test and operations.

Lean is about innovating efficiently, soliciting feedback from customers as quickly as possible and leveraging technical competences such as continuous integration, comprehensive configuration management, automation of build, test, provision and deploy processes.

Like any continuous improvement, it should be achieved incrementally, taking into account where folks are starting from and their ability to effect changes and adopt them. The tools, practices and patterns are now available to support this, and Serena uniquely orchestrates enterprise agility.

Incidentally the KPI or metric we should be measuring is the cycle time for the software delivery process (implies a continuous delivery workflow).

For continuous integration, there is a significant cost savings to consider. Since Continuous Integration is in the early development cycle, many changes are tested frequently with feedback immediately going the development team. Multiple changes from multiple developers are developed and tested with many deployments daily.

The earlier in the development, test and release cycle that a problem is identified and a fix developed, the lower the cost. It is much more expensive to fix problems after the application is in late-stage testing, pre-production, or production. Therefore, effective continuous integration reduces costs and reduces risks.

Today’s successful business is lean, efficient and lives online. It is an agile enterprise, relying on non-traditional IT imperatives such as Cloud, mobile and social computing. These companies are defined by the new and enhanced solutions empowering their IT stakeholders. From operating on mobile phones and tablets, to automating the release of their applications both on-premises and to the Cloud, agile enterprises live and breathe efficiency. Continuous deployment delivers the speed and agility these companies crave. They do not have time to wait for three-month development and release cycles they need software deployed in minutes.

While there is an interesting angle around APM and measuring performance, adoption, etc. once deployed as an ex development manager, there is still much improvement available in the area of test automation and in particular the adoption of TDD (Test Driven Development) practices.

We have come up with the five steps organizations can take to optimize continuous delivery:

Step 1: Make the release management process and workflow accessible for many different IT functions through a common function portal for: Business, Development, Test/QA, DevOps, Release, IT Operations and IT Service Management.

Step 2: Document detailed requirements in demand, stories and the requirements management process.

Step 3: Connect the requirements, development, and release processes. Ensure that the only changes that are released are those that have been defined by requirements management and approved by the business.

Step 4: Orchestrate the release management process with Development so that newly developed code from multiple development environments flows smoothly into the common release management process.

Step 5: Improve release management flexibility through improved support of:

- Traditional Stage-Gate QA methodology

- Modern Continuous Delivery QA methodology

- Support for many different environments for deployments (test, SIT, UAT, Staging, Pre-Prod, Production)

- Support for multiple platforms such as, Windows, Linux, Unix, Mainframe

For companies that want to take this developer-driven approach, there has to be an understanding of the changes required in getting to continuous delivery and how it affects the whole process for getting new software and updates out to the organization.  

The benefit of going down this route is that IT as a whole can be more nimble in responding to a changing market, whether this is launching new services or expanding available functionality. With a lot more businesses looking at how to expand the ethos of agile from development into their wider organization, this is a great opportunity to show the rest of the world how things can and should be done.

ABOUT Ashley Owen

Ashley (Ash) Owen is Serena Software’s Director of Orchestrated ALM Strategy for the ALM Business, providing product management assistance, field support and solution strategy & advice to our customers, prospects and partners. Extensive experience in the successful design and implementation of ALM solutions across Europe, APAC and America.



Ash has spent more than 23 years in Application Lifecycle Management and Software Change and Configuration Management markets. Ash has a singular focus on improving efficiency, automation and traceability within both Enterprise IT and Embedded Systems environments.

Share this

The Latest

July 26, 2017

The retail industry is highly competitive, and as retailers move online and into apps, tech factors play a deciding role in brand differentiation. According to a recent QualiTest survey, a lack of proper software testing — meaning glitches and bugs during the shopping experience — is one of the most critical factors in affecting consumer behavior and long-term business ...

July 25, 2017

Consumers aren't patient, and they are only one back-button click from Google search results and competitors' websites. A one-second delay can bump the bounce rate by almost 50 percent on mobile, and a two-second delay more than doubles it ...

July 24, 2017

Optimizing online web performance is critical to keep and convert customers and achieve success for the holidays and the entire retail year. Recent research from Akamai indicates that website slowdowns as small as 100 milliseconds can significantly impact revenues ...

July 21, 2017

Public sector organizations undergoing digital transformation are losing confidence in IT Operations' ability to manage the influx of new technologies and evolving expectations, according to the 2017 Splunk Public Sector IT Operations Survey ...

July 20, 2017

It's no surprise that web application quality is incredibly important for businesses; 99 percent of those surveyed by Sencha are in agreement. But despite technological advances in testing, including automation, problems with web application quality remain an issue for most businesses ...

July 19, 2017

Market hype and growing interest in artificial intelligence (AI) are pushing established software vendors to introduce AI into their product strategy, creating considerable confusion in the process, according to Gartner. Analysts predict that by 2020, AI technologies will be virtually pervasive in almost every new software product and service ...

July 18, 2017

Organizations are encountering user, revenue or customer-impacting digital performance problems once every five days, according a new study by Dynatrace. Furthermore, the study reveals that individuals are losing a quarter of their working lives battling to address these problems ...

July 17, 2017
Mobile devices account for more than 60 percent of all digital minutes in all 9 markets profiled in comScore's report: Mobile’s Hierarchy of Needs ...
July 14, 2017

Cloud adoption is still the most vexing factor in increased network complexity, ahead of the internet of things (IoT), software-defined networking (SDN), and network functions virtualization (NFV), according to a new survey conducted by Kentik ...

July 13, 2017

Gigabit speeds and new technologies are driving new capabilities and even more opportunities to innovate and differentiate. Faster compute, new applications and more storage are all working together to enable greater efficiency and greater power. Yet with opportunity comes complexity ...