Operations | Monitoring | ITSM | DevOps | Cloud

Let’s face it – pull requests can be painful. They’re often time-consuming, fraught with merge conflicts, and can leave you waiting around on others or totally disrupt your coding flow. But what if there was an easier way to manage these requests without all the hassles and delays?

At Qovery, we're thrilled to introduce a groundbreaking way for AWS users to drastically reduce their costs — by up to 60% on EC2 instances. This significant reduction is made possible through the synergy of AWS Elastic Kubernetes Service (EKS) with Karpenter, AWS's powerful autoscaler.

Kubernetes CronJobs are a feature that lets you automate tasks in a Kubernetes cluster. They let you schedule and run jobs on a regular basis, making them good for tasks like data backups, database maintenance, log rotation, and more. CronJobs help make operations easier and reduce manual work, letting you focus on other important parts of your application. In this guide, we will explain what CronJobs are and how they are different from regular Kubernetes Jobs.

One of the fundamental promises of the cloud, when organizations embrace it, is significant cost savings compared to its on-premises costs. However, organizations to realize savings is required to proactively plan and monitor the application’s cost at a granular level. Azure cost anomaly detection involves promptly identifying, rectifying, and analysing unexpected Azure cost events to minimize their impact on the business.

The term ROI (Return on Investment) often gets thrown around without a thorough understanding of its implications. Many see it merely as a financial metric, but in reality, ROI encompasses much more than monetary gains. In this comprehensive exploration, we delve into the true essence of ROI, its multifaceted nature, and how it impacts every aspect of your business strategy.

In today’s digitally-driven world, organizations rely heavily on software applications to streamline services, provide operations, engage customers, and drive innovation through digital transformation. Software has also become the lynchpin for securing an entire business’ services and keeping them up and running. Yet, this omnipresent force comes with its own set of challenges.

CPU usage is one of the most common metrics used in observability and cloud computing. It’s for a good reason: CPU usage represents the amount of work a system is performing, and if it’s near 100% capacity, adding more work could make the system unstable. The solution is to scale - add more hosts with more CPU capacity, migrate some of your workloads to the new host, and split the traffic between them using a load balancer.