Operations | Monitoring | ITSM | DevOps | Cloud

Modern application architectures have evolved from simple monoliths to complex distributed systems spanning multiple environments. This evolution has transformed how we approach monitoring and troubleshooting. Traditional monitoring methods that focus solely on uptime and basic health checks are no longer sufficient for understanding system behavior in cloud-native environments.

Managing networks has never been more complex—more devices, more remote work, and more security challenges. Traditional on-premise solutions can struggle to keep up, requiring constant maintenance and on-site troubleshooting. That’s why businesses are shifting to cloud-based network management, which provides real-time visibility, automation, and remote access to keep networks running smoothly.

One of the most common things we hear from our users, is how AWS costs keep increasing with CloudWatch often playing a big role. CloudWatch has long been the default observability solution for AWS users. While it’s great for some use-cases, it’s also important to check out and weigh other alternatives which could be better suited for modern observability demands. Let’s examine some areas where modern observability platforms outweigh CloudWatch. Note.

AI systems, from machine learning models to Large Language Models (LLMs) and autonomous AI agents, introduce unique observability challenges. Their non-deterministic nature, complex dependencies, and specialized performance characteristics require thoughtful instrumentation approaches. OpenTelemetry has emerged as the leading standard for implementing observability across these systems.

Developed by Microsoft in the 1980s, SQL Server is a relational database management system designed to help store, retrieve, and manage data. SQL Server’s strong data processing capabilities, robust security, and high scalability make it an excellent option for enterprise environments that need to process high volumes of advanced analytics, transactions, and more. Data availability is vital for businesses of all sizes, so organizations strive for high availability (HA).

In our increasingly serverless world, observability isn’t just a “nice to have”—it’s essential. Serverless functions such as AWS Lambda bring incredible benefits, but they also introduce complexities, especially around monitoring and debugging. In a previous article, I provided a quick, practical guide for sending AWS Lambda traces to Grafana Cloud using OpenTelemetry.

Over the past decade, businesses have realized that relying solely on their data centers has limitations. That’s why 38% of organizations turned to private clouds in 2024 to control their data. However, as the need for more flexibility and scalability grew, they started integrating public cloud services. In this article, we’ll explore hybrid cloud computing, what it is, how it works, and why it’s a hot future trend for businesses.