Software Engineering Insights

The frequency of patients seeking access to telehealth services has risen dramatically since the pandemic in 2020. Consequently, there has been a consistent increase in the development of two-way telecommunications technologies to enable better Remote Patient Monitoring (RPM) and care delivery. 

With the recent advancements in chatbots enabling unprecedented levels of precision and innovative problem-solving, several verticals of the technology sector have been reaping the benefits. The wildly popular domain of DevOps is the newest entrant into the slew of sub-sectors leveraging the immense potential of chatbots.

In the intensely competitive business landscape of today, organizations need end-to-end automated workflow management to give themselves a fighting chance. Intelligent Automation is the one-stop solution to ensure increased agility, enhance customer experience, and boost overall productivity for your business. However, intelligent automation without the necessary orchestration leaves much to be desired with regard to holistic success.

In the current market scenario, every day tends to bring a brand new innovation in Artificial Intelligence (AI) and Machine Learning (ML) to the forefront. Beyond their impact on various industries, these radical changes in AI and ML are affecting our daily lives as well. The most significant branches of AI such as Speech Recognition, Voice Synthesis, Intelligent Assistants, etc. are going through a ton of pioneering innovation at this very moment.

Electronic Health Records (EHR) have completely transformed the way hospitals operate and enhanced the quality of care delivery. Scheduling appointments, allocating prescriptions, and viewing diagnostic data have all become simple processes because of EHR-based digitalization. However, there remain many bottlenecks that have stood in the way of seamless industry-wide adoption of EHR.

While observability is an increasingly crucial part of DevOps-based software development, the associated costs are growing faster than infrastructure costs. IT organizations today face the challenge of balancing innovative observability strategies with maintaining sustainable business models.

Schools deal with multiple parallel workflows and involve various interconnected stakeholders such as teachers, students, and administrative staff. While serving students with optimal education, schools also need to optimize the management of the institution's business side to better serve everyone, which necessitates the need for School Management Software (SMS) and systems.

The DevOps paradigm has predominantly been focused on delivering high-quality software products to customers faster through shortened release cycles. Ensuring continuous security for these products is an essential aspect that is implemented by the DevSecOps domain. But when it comes to security in the product's design and architecture you need a more dedicated system such as that offered by Threat Modeling.

Advancing user requirements and the need for tighter security measures across the internet is making it crucial to shift from monolithic to DevOps-based software development. Additionally, microservices architecture is finding an essential role to play in this shift. Amidst all these developments, it is important to consider the need for boosting transparency through better DevOps observability for microservices.

Enterprise software systems that help manage the workflows of large-scale organizations need Site Reliability Engineering (SRE) for ensuring their availability, resilience, and of course, their reliability. SRE involves monitoring the software system's performance and performing code fixes whenever problems arise. So, it is no surprise that observability is a crucial aspect of SRE and requires apt methodologies and automation tools to enforce.