In the realm of modern IT, where the infrastructure complexity grows by the day and downtime equates to high-stakes losses, a transformative solution is not just desirable – it’s the need of the hour. Enter Artificial Intelligence for IT Operations (AIOps) — a powerful combo of AI and IT operations that is reshaping the landscape of IT management. And these are not just empty claims.

Observability and monitoring: These terms are often used interchangeably, but they represent different approaches to understanding and managing IT infrastructure. If you are new to these terms or are often confused between the two, this blog is for you! In this blog, we'll explore the key concepts of observability and monitoring, their evolution in IT operations, their differences and similarities, and their importance in modern infrastructure.

In the past, there was a persistent misconception that Java was slow compared to other programming languages. But this idea comes from a time when Java was just starting out. Back then, Java did have some problems that made it seem slow. For example, it took a long time for Java programs to start running, and the way Java made user interfaces for applications was not very fast. But things have changed a lot since then. Hence, the outdated belief that Java is slow is exactly that – outdated.

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

Since its inception, Amazon Elastic Container Service (ECS) has emerged as a strong choice for developers aiming to efficiently deploy, manage, and scale containerized applications on AWS cloud. By abstracting the complexities associated with container orchestration, ECS allows teams to focus on application development, while handling the underlying infrastructure, load balancing, and service discovery requirements.

It’s pretty clear that AI is changing how people consume, create, and extract data and information. When it comes to cloud costs, having everything automated can give our users personalized analysis without spending much time on it. Imagine resolving these frequent cloud cost challenges with a simple search: Get ready because this dream is about to turn into reality! Our new AI tool, CostGPT provides instant insights into cloud cost structure.