Operations | Monitoring | ITSM | DevOps | Cloud

AWS is a cloud platform that is popular and widely used in many industries. They have many services such as EC2, S3, Lambda, and many more. Since AWS is so popular, being able to easily use it along with your other tools is a priority. We have an AWS integration set up with our tool so that our users have an optimal experience.

The first person to coin the term “Artificial Intelligence” predicted that someday people would buy software as a utility. The year was 1961 and that person was Professor John McCarthy, a computer scientist at Stanford University. After Salesforce began selling software programs this way in the late-1990s, the good professor witnessed his prophecy come true for over 12 years before his passing in 2011. Yet this is only one aspect of computing in the cloud as we know it today.

Back in 2021, Ubuntu Desktop engineering manager Ken VanDine talked about Canonical’s investment in Flutter support for Linux. To demonstrate the versatility of the Flutter toolkit, we committed to redesigning the Ubuntu installer experience as part of a larger overhaul of the underlying technology behind the Ubuntu installer. Up until now, the Ubuntu Server and Desktop installers had two separate underlying code-bases.

Did you know that the data center industry accounts for 3% of global electricity consumption and is expected to hit 4% by 2030? Due to rising energy costs and increased public pressure around the environmental impact of data centers, many of today’s organizations have launched corporate sustainability initiatives and data center professionals are cracking down on energy usage to support those goals.

The State of Preview Environments Report is a survey conducted by Qovery gathering feedback from 1,289 seasoned software engineers with diverse experiences, ranging from growing to enterprise-level organizations. This report aims to get a pulse on the perception and adoption of Preview Environments among the software engineering community.

Managers often ask engineers what the breaking point of an application is, requiring accurate insights into the max throughput.

As one of the most popular open-source Kubernetes monitoring solutions, Prometheus leverages a multidimensional data model of time-stamped metric data and labels. The platform uses a pull-based architecture to collect metrics from various targets. It stores the metrics in a time-series database and provides the powerful PromQL query language for efficient analysis and data visualization.

With the growing adoption of automated deployment tools, many organizations are releasing code more frequently. As releases increase, it’s important to ensure that you don’t accidentally introduce faulty deployments, which can have wide-ranging impacts on your infrastructure, application, and end-user experience, and can potentially lead to costly rollbacks.

In any type of organization and at any scale, logs are essential to a comprehensive monitoring stack. They provide granular, point-in-time insights into the health, security, and performance of your whole environment, making them critical for key workflows such as incident response, security investigations, auditing, and performance analysis. Many organizations generate millions (or even billions) of log events across their tech stack every day.