Last week, CAST attended the Gartner EA Summit, held at National Harbor. It was two days of jam-packed sessions and workshops about Enterprise Architecture, but what stuck out the most was the value of this very unique discipline as a catalyst for Digital Transformation.
EA and Digital Transformation were the core focus of many presentations, including Mike J. Walker’s session “Leverage EA to Understand the Value and Impacts of Digital Disruption.” Mike stressed that this ever-evolving discipline is becoming a vital component to corporate strategy, delivering high-performing and sustainable business outcomes.
In April, Google experienced a fairly significant cloud outage, but it was hardly news at all. In fact, it was likely the most widespread outage to hit a major public cloud to-date. The lack of coverage is strange, considering the industry’s watchful eyes like Brian Krebs and others. The even more recent Salesforce service outage seems to have received more attention. But despite the fact that Google seems to have gotten away with a “pass” this time, the glitch brings renewed attention to the fact that tech players large and small are continuing to deal with software robustness issues.
Google Compute Engine was down for a full 18 minutes around the 7 o’clock hour Pacific Time on April 11, disconnecting all users in all regions. This was a Google cloud outage, and the root cause was a network failure. Network outages appear to be an ongoing challenge for Google, this one being the biggest yet.
Recently, CAST co-authored a paper with The Boston Consulting Group titled, Will Your Software Help or Hinder Digital Transformation? Navigating the digital transformation journey is a challenge, often wrought with roadblocks and IT complexities related to technical debt, disparate application development techniques and more. So how can CIOs help their company achieve digitization goals?
Today, CAST is meeting hundreds of Enterprise Architect aficionados, gurus, practitioners and professionals in National Harbor at the Gartner EA Summit. When glancing at the agenda, it is evident that EA has become omnipresent and is interacting either directly or indirectly with 100% of hot IT challenges such as Digital Transformation, Cloud Readiness, Internet of Things, Cyber Security and Innovation – the topics that are keeping many executives up at night.
The intent of this post is to share “one” view of the EA journey and provide some personal insight into software risk management and what I think will be the upcoming challenges in our favorite discipline.
The term “Digital Transformation” has become more than just a buzzword as companies continuously work toward the goal of realigning and investing in the digitization of all business aspects to meet and predict customer demands. In the midst of these big changes, there has been much confusion about what it means to actually achieve digital transformation and how to monitor your progression through each stage of the transition.
John Chang, Head of Solution Design, CAST Software at QAI QUEST, 2016
Recently I had the pleasure of speaking at QAI QUEST 2016, which showcases the latest techniques for software quality measurement and testing. It was a content-rich program with more than three days of diving deep into issues like DevOps, Open Source, Security Mobile and more. But what struck me the most above all the event chatter is that even the brightest of companies are still having a difficult time identifying and fixing code quality errors.
During my keynote, I spoke about the perils of system-level defects and how these defects, when they go undetected, can completely ruin ingenious application development strategies. There are two key reason these bugs persist: decentralized development practices and a lack of automated code review standards.
For years refactoring software has been a common process used to improve the quality, efficiency, and maintainability of an application. However, a recent article by IT World discusses how CIOs may not be getting a valuable return on their investment of time and effort into the refactoring process. While many believe refactoring reduces the risk of future headaches, new findings acquired through a study by Sri Lanka researchers suggests code quality is not improved significantly by refactoring.