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.

SIAM or Service Integration and Management consists of a way of managing multiple suppliers and integrating them to provide a single business-facing IT organization. It can effectively integrate interdependent services from service providers into end-to-end services to enable you to meet business requirements. Information regarding suppliers and vendors is central to an effective service delivery strategy: it will help both your overall organization capabilities and your financial decision making.

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 Hence, the outdated belief that Java is slow is exactly that – outdated.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.

A critical partner in your supply chain just went down. An earthquake just hit your main operations hub. Breaking news about your organization just hit social media. Bad news first—there’s always another crisis or existential threat to your organization on the horizon. If you don’t have an established Crisis Response process and team in place, you’re running a high risk of failure.

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.

One of the most critical aspects of a developer's workflow is reducing deployment time. While Qovery does a lot of heavy lifting to make your deployments faster and more efficient, there are still ways to fine-tune the process on your end. This guide will help you optimize deployment time across three essential phases: Build, Deployment, and Runtime.