By Kalyan SridharThe year 2020 spelled lower revenues for a lot of industries across the globe, thanks to the pandemic, but one industry that shone through and did not let the lights dim on other sectors was the software industry. From big data analytics, real-time analytics, data warehouse modernization, and data governance to CRM tools,…
By Kalyan Sridhar
The year 2020 spelled lower revenues for a lot of industries across the globe, thanks to the pandemic, but one industry that shone through and did not let the lights dim on other sectors was the software industry. From big data analytics, real-time analytics, data warehouse modernization, and data governance to CRM tools, artificial intelligence, cloud computing, and machine learning, software providers continued to power BFSI, healthcare, manufacturing, retail, and e-commerce with their innovation and agility.
As consumers spent heavily on various online platforms including gaming, digital content, e-commerce, and social media in 2021, the global technology spending (excluding hardware) stood at over $1.7 trillion in 2021, marking a 9 percent year-on-year growth. This is expected to reach $1.8 trillion in 2022, according to NASSCOM.
Just as the complexity of custom-built applications running our lives and businesses becomes overwhelming, having accurate knowledge about the software’s working and structural condition has also become equally crucial for organizations.
Introduction to Software Intelligence
Software Intelligence means insight into the structural condition of software assets. It helps CXOs and CIOs to navigate the maze of a tough business climate by helping them see what’s inside software, rationalize portfolios, accelerate cloud migration, de-risk technology due diligence and reduce Open-Source risks. It can achieve this through a rapid application portfolio analysis. Companies can perform automated source code analysis of multiple applications in a week for Cloud Readiness, Software Composition, Resiliency, and Agility. This objective + qualitative data (auto-analysis + business context surveys) enables them to achieve their goals rapidly and is much faster than manually analyzing hundreds of apps which can be very time-consuming and error-prone under based risk-free SAAS model.
Accelerate the journey to the Cloud & Portfolio Advisor
By getting an automated fact-based roadmap to the cloud. Organizations can rapidly segment and prioritize applications using the Cloud Ready Index provided by Software Intelligence based on specific patterns found automatically in application source code that could prevent (Blockers) or accelerate (Boosters) cloud migration to take advantage of cloud-native capabilities.
Also provides them with a comprehensive cloud migration strategy (Around AWS, MS Azure & Google Cloud) to baseline, segment, and prioritize their application portfolio while identifying PaaS competitive advantages. The most critical and time-consuming aspect of planning cloud migrations is determining if, where, when, and how to take advantage of containers, Platform as a Service (PaaS), and serverless. The Portfolio Advisor for Cloud automatically segments application portfolios comprised of 100s (or even 1000s) of apps in seconds using a model like the ubiquitous Gartner 5 R’s which is crucial for CXOs & Applications Owners.
Controlling open-source software risks
Today, it is rare for organizations to develop 100% original software code. They regularly use open source frameworks and 3rd party components Like LTI completed open-source compliance checks for 20+ internal LTI in just a few days, scanned 8 million+ Lines Of Code, and Identified 400+ unique components with 1300+ unique vulnerabilities. When businesses use OSS to develop their code, they agree to certain licensing conditions and terms of the OSS like Having to make commercially developed software free and open source, being sued, or having to settle a legal dispute & incurring significant costs to remediate a piece of software to remove a component with risky license requirements.
Software Intelligence automates the process of identifying the software components and potential IP licensing risk and provide:
- Customizable license policies based on the organization’s unique needs
- The portfolio-level analysis enables rapid insights across the entire enterprise’s application stack
- Business context metrics to help prioritize the most important applications to focus on first
- Additional SCA data such as security vulnerabilities and obsolete components
Modernizing Legacy Applications
On average, 58% of an organization’s time is spent on understanding the existing legacy code, per a recent IEEE study, a phenomenon now exacerbated by soaring attrition and the Hybrid working model, both likely to persist in 2022. Modernization requires getting into millions of lines of code created over decades to obtain a deep understanding of the software architecture, its components, and interdependencies. The typical lack of documentation and absence of developers with legacy knowledge bogs down architects and development teams.
Software Intelligence helps resolves this by providing insights into the inner workings and structural condition of custom-built applications, essential for speeding up and de-risking their modernization. This can also be used to automatically reverse engineer the actual architecture of a given application into interactive application maps to help architects and developers navigate key modernization steps, such as re-platforming, re-architecting, framework or database replacement, breaking monoliths into services. In an open forum Microsoft’s leading Modernization Architect States – ‘It’s impossible to do a manual review of applications during modernization, you do need software intelligence’.
Greater Software Engineering Speed and Efficiency
Various Studies show that developers spend over 50% of their time comprehending code and architecture, a phenomenon now exacerbated by soaring attrition and Hybrid working model, both likely to persist now. IT leaders are reinforcing Software Developers & SME’s which automatically create and maintain a living knowledgebase of the inner workings of your critical applications, an essential lever to preserve key knowledge, reduce SME dependencies, onboard newcomers faster in ‘The Great Reshuffle’ to retain software knowledge, & speed up delivery of application development & maintenance. Various Large GSI & F500 Organizations realized 15% productivity gains in Application development & Maintenance which resulted in great savings on IT budgets for Application owners.
The author is SVP & Country Manager at CAST Software India & ASEAN.
Disclaimer: The views expressed are solely of the author and ETCIO.com does not necessarily subscribe to it. ETCIO.com shall not be responsible for any damage caused to any person/organization directly or indirectly.
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