Operations | Monitoring | ITSM | DevOps | Cloud

We chose to feature this article because it reflects exactly what OpsMatters stands for: practitioners solving real problems with practical DevOps thinking. When we came across Ashish's detailed breakdown of his experience modernizing a complex ML environment, it stood out for its clarity and actionable insights. We reached out to him to learn more about the work behind this case study, and with his permission, we are sharing it here so the broader community can benefit from these lessons in observability, cost optimization, and real-world DevOps execution.

Running a solo dental practice isn't just about fillings and fluoride. You're not only the clinician but also the admin team, the scheduler, the marketing department, and sometimes, the IT support. When the waiting room's quiet, you're chasing follow-ups. When it's busy, you're mentally juggling which voicemail needs a callback first. It's no surprise that many solo dentists feel like they're one missed call away from burnout.

What was the biggest pain in your childhood when doing puzzles? Of course, the worst is when you need to somehow finish a plain-black segment of 300-400 pieces. Lost puzzle pieces proudly occupy the second place. Well, if you have chosen to work in the digital marketing or e-commerce industry, nothing changes. You still will suffer from huge black spots and tiny pieces of missing data. The bigger the company you work for is and the larger the amount of data you operate with, the more you will be affected by those information gaps.

Septic companies face a unique set of challenges that demand agile and innovative solutions. The traditional methods of managing operations, handling customer relationships, scheduling services, and maintaining equipment are becoming increasingly inefficient in this digital age. With technology advancing at a rapid pace, those companies willing to adopt smarter tools for operations gain a significant edge over their competitors. Today's modern septic companies are now seeking ways to enhance efficiency, streamline processes, and ultimately improve customer satisfaction through various software solutions.

Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case on the reality of AI, and how we can respond to it. This is part one; part two next week. We seem to be struggling to have pragmatic discussions about advancements in Artificial Intelligence. It's hard to hear calmer voices over the detractors and breathless enthusiasts. Today, I want to make a reasoned, evidence-based case for the potential of this technology, glance at present and future applications, and offer some practical examples for implementing AI within an organization.