-
-
-
-
URL copied!
Architectural drift and erosion in software development can seriously impact the business and go-to-market strategy, causing delays, decreased quality, and even product failure. Companies must have processes and workflows in place to detect architectural gaps but historically, those manual checks have been time consuming and prone to human error.
In this paper, we explore the different types of manual architecture review and propose automated alternatives to reduce the time and resources required even while producing better outcomes. You’ll learn:
- What architecture drift and erosion are, and how they impact the business.
- How dependency analysis, peer reviews, and other manual inspections work.
- Why even though they catch issues not prevented through the application of best practice good architecture governance, manual reviews are not the ideal solution.
- Specific considerations to keep in mind around compliance, data security, DevOps, and more when evaluating architecture review solutions.
- What automating architecture checks may look like in a series of example use case scenarios.
Author
Trending Insights
If You Build Products, You Should Be Using...
Digital TransformationTesting and QAManufacturing and Industrial
Empowering Teams with Agile Product-Oriented Delivery, Step By...
AgileProject ManagementAutomotiveCommunicationsConsumer and RetailMediaTop Authors
Chief Technology Officer, AI
VP of Healthcare Technology
Vice President, Client Engagement
AVP, Engineering
Principal Technical Writer
Let’s Work Together
Related Content
Accelerating Digital Transformation with Structured AI Outputs
Enterprises increasingly rely on large language models (LLMs) to derive insights, automate processes, and improve decision-making. However, there are two significant challenges to the use of LLMs: transforming structured and semi-structured data into suitable formats for LLM prompts and converting LLM outputs back into forms that integrate with enterprise systems. OpenAI's recent introduction of structured … Continue reading Detecting Architectural Gaps with Automation →
Learn More
Accelerating Enterprise Value with AI
As many organizations are continuing to navigate the chasm between AI/GenAI pilots and enterprise deployment, Hitachi is already making significant strides. In this article, GlobaLogic discusses the importance of grounding any AI/GenAI initiative in three core principles: 1) thoughtful consideration of enterprise objectives and desired outcomes; 2) the selection and/or development of AI systems that are purpose-built for an organization’s industry, its existing technology, and its data; and 3) an intrinsic commitment to responsible AI. The article will explain how Hitachi is addressing those principles with the Hitachi GenAI Platform-of-Platforms. GlobalLogic has architected this enterprise-grade solution to enable responsible, reliable, and reusable AI that unlocks a high level of operational and technical agility. It's a modular solution that GlobalLogic can use to rapidly build solutions for enterprises across industries as they use AI/GenAI to pursue new revenue streams, greater operational efficiency, and higher workforce productivity.
Learn More
Unlock the Power of the Intelligent Healthcare Ecosystem
Welcome to the future of healthcare The healthcare industry is on the cusp of a revolutionary transformation. As we move beyond digital connectivity and data integration, the next decade will be defined by the emergence of the Intelligent Healthcare Ecosystem. This is more than a technological shift—it's a fundamental change in how we deliver, experience, … Continue reading Detecting Architectural Gaps with Automation →
Learn More
Crowd-Striked: Lessons Learned and Best Practices for Future Prevention
Incident Summary On July 19, 2024, CrowdStrike released a content configuration update for the Windows sensor that resulted in widespread system instability, causing Windows systems to experience the "Blue Screen of Death" (BSOD). The issue was traced to a channel file named “C-00000291*.sys” included in the update, which caused system crashes upon deployment. “Channel files” … Continue reading Detecting Architectural Gaps with Automation →
Learn More
Share this page:
-
-
-
-
URL copied!