Hello and welcome to Con 42 Golang 2025. It's a pleasure to be here with all of you. My name is Misal, and today we are going to explore a topic that's shaping the future of IT operations, automations, and monitoring tools. The, the landscape of systems management has evolved dramatically, to. Gone are the days of manual troubleshooting issues and reacting after failure occurs. Instead, modern enterprises are now leveraging intelligent solutions to detect, prevent, and even resolve incidents before the impact operations. So over the, next few minutes, we will be, diving deep into some of the most of powerful tools in this space. That's how they integrate with the enterprise environment and the key benefits they bring in. So let's get started. Automation is more than just a convenience. It's a necessity these days by reducing manual intervention by nearly 80% organizations free of IT teams. To focus on innovations rather than routing maintenance. faster response times mean that incidents are resolved before they escalate and increase accuracy. Accuracy translates to fewer costly errors. Studies show that automation leads to a 40% drop in operational cost. A significant financial advantage for enterprises. With these benefits in mind, let's explore how IT operations have evolved from a reactive to a predictive approach. Historically, IT teams only, reacted to incidents after they occurred. This meant extended downtimes and increased disruptions. Moving to a proactive model, teams began leveraging monitoring systems to. Catch potential failures early. The real, breakthrough, however, is the predictive operations with AI powered analytics as organizations can forecast failures with our 90% accuracy, preventing downtime altogether and keep critical services running smoothly. and, To make predictive operations successful, we need a robust monitoring tools. So let's take a look at the two of the most powerful tools exist in the market. our Prometheus, and in our industry. Leading monitoring solutions. All so cells in high precision data collection and alerting, making it perfect for dynamic cloud environments. Na s with its rich, plugin ecosystem and a longstanding reputation is ideal for comprehensive infrastructure oversight. These organizations that integrate these tools see, see, 94% improvement in anomaly detection and maintain the five nine availability. So less, which is less, less than five minutes of, downtime per year. But monitoring alone isn't enough. We also need deep observability. and hence that's where Datadog comes into the picture. As enterprise shift to the multi cloud and hybrid environments, visibility becomes critical. Datadog provides a unified view across infrastructure, applications, and logs, enabling teams to detect bottlenecks and optimize performance in real time. From granular quarter level, I'm tracing to AI powered log analysis. Datadog helps enterprises boost system reliability by nearly 77% while reducing meantime to solution with cloud native monitoring in place. Let's explore how AI is taking. Okay. IT operations. Even further, AI ops or ai, our IT operations is, it's literally, we are transforming incident management instead of waiting of for alerts, AI driven tools, continuously analyze patterns, detect anomalies, and even shared automated remediation, these self-healing. Billing. These self healing capabilities help businesses reduce unplanned downtime and cut incident response times by over 80%. This means fewer manual escalations and more, reliable operations at scale. Yes, AI just doesn't detect, data issues. It also learns from them. So let's d dive into how machine learning, plays an important role in this. The integration of, machine learning in monitoring, systems unlocks unprecedented efficiencies by recognizing, patterns and predicting failures. Ml, driven systems adapt over time, refining that accuracy with each incident, so advanced and detection, and ensures that potential issues are flagged before the impact the users significantly reducing system disruptions. Now to understand the full impact of these advancements, let's take a look at some real world numbers. So as you can see on the screen, organizations implementing automated monitoring solutions report up to five nines up times, and showing that systems remain operational around the clock. Manual intervention drops dramatically with automated remediation, reducing human effort by over 78%, quicker, response times and AI driven insights make it teams more effective while cutting operational course. So for it o. IT professionals looking to stay ahead. Building hands-on experience is crucial. So let's see how Home Labs can help in this. for it, it, our professionals Hands-on Learning is in valuable home labs or provide a risk free environment to master tools, experiment with configurations and. Similar, the real world incidents studies show that those who regularly engage with home labs improve their technical proficiency by over 80% as compared to those who rely solely on the theory based learning. So once we develop skills and automation, we must also implement strategies correctly. Now let's discuss the, or discuss the best approach, approach in doing that. A successful auto commission strategy requires a structured approach. So first, conduct a thorough audit to identify gaps in existing monitoring framework. Next, select the right tools tailored to business needs or pilot deployments. Allow for it. Testing before the full-time, full scale rollout. Rollout integration ensures seamless data exchange across platforms while ongoing optimizations refined our processes based on performance insights with a well, planned strategy in place. Now, let's, let's wrap up with some. Key takeaways, to summarize, automation is, is the revolutionizing ID operations. it minimizes manual workload, improves system reliability, and his operational efficiency. Advance monitoring tools like Prometheus, Nagios and Datadog enable our. Enable predictor maintenance. While AI will power solutions, take automation to the next level, the key is structured, deployment and continuous refinement to maximize impact of finally, or before we conclude, I would love. Like to sh share where you can find more of my work. I truly appreci shared all of your time today. If you would like to, like to explore more of my work for the feel free to scan this QR code, it'll take you to my portfolio website where I share insights. Our projects and experiences. I would also love to connect with you all and, and continue on this discussion. thank you again, all for, for joining. Bye-bye.