From Accidental to Intentional: Your Roadmap to Architectural Excellence
The first article of this two-part series discussed how to identify Accidental Architecture and the challenges it can cause an organization. We defined Intentional Architecture as a deliberate system architecture that is created from a set of goals, trade-offs, team structure, and constraints under which it’s built and maintained.
Maximizing Performance with Netty and Reactive Programming in Java
In the modern world of software development, building responsive and scalable applications is essential. This is especially true for cloud-based deployments, where keeping costs down while maintaining performance is crucial. Reactive programming, a paradigm centered on efficiently processing asynchronous events and data streams, can be an excellent choice for achieving this.
Business Leaders: How Do You Know If Your Enterprise Has Accidental Architecture?
A well-known website crashed a few weeks ago, and it made the news. We won’t disclose the company name, but it’s a very popular site and that crash affected millions of people. Fortunately, due to the heroic efforts of the support teams, it was operational after about 12 hours. Unfortunately, it lost a mountain of revenue.
4 Keys to Successfully Implementing Security by Design
Imagine a solution that not only enhances the security of your products but also saves time and reduces costs. This is precisely what Secure by Design (SbD) principles offer. Unlike traditional reactive security measures, which often lead to last-minute setbacks and avoidable changes, SbD takes a proactive approach. By integrating security from the beginning, we not only save valuable time, money, and resources but also elevate the overall project experience for everyone involved.
How to Chat with Your Data
Imagine having a conversation with your dataset as if you were talking to a colleague, gaining insights by simply asking questions. With generative AI, this is entirely possible. In the era of conversational chatbots, businesses are beginning to think about how these can be leveraged to harness the full potential of their data. Traditional methods for extracting insights from data often require special skills and are time-consuming. Using Gen AI models to “chat” directly with our data makes these data insights more accessible and actionable, revolutionizing the way data-driven decisions are made.
LiDAR + ML + Geospatial Data: A Powerful Engine for Smarter Railway Management
As an integral part of modern critical infrastructure and pivotal to the transportation of goods in many developed countries, rail carriers assume responsibility for thousands of miles of track that must be monitored and maintained. Performing these duties adequately is paramount to regulatory compliance and safety. However, the processes to conduct these operations are generally slow, manual, and resource-intensive. These inefficiencies can lead to backlogs and compromise safety.
