Operations | Monitoring | ITSM | DevOps | Cloud

Nowadays, when most people think about the term “machine learning,” they think of advanced, refined applications such as Chat-GPT, the chatbot-based deep learning text generator, or AlphaGo, the computer program that’s currently the “world's best player” of the board game Go.

Deploying an application is an intricate process that requires managing environment variables and secrets. These variables and secrets help applications access essential resources such as API keys, database credentials, and more. However, manually managing these variables and secrets can be challenging and time-consuming, especially for engineering teams that manage multiple applications. Fortunately, Qovery has a solution for this.

Monitoring is not a goal, but a path. Depending on the maturity of your project, it can be labeled in one of these six steps of the cloud monitoring journey. You will find best practices for all of them and examine what companies get from each one. From classic virtual machines to large Kubernetes clusters or even serverless architectures, companies have adopted the cloud as a mainstream way to provide their online services.

Kubernetes is a quintessential operating system for the cloud, providing a platform for the deployment, scaling, and management of containerized microservice applications. At the heart of Kubernetes is the Kubernetes API, which serves as the primary entry point for interacting with the system. The official client for the Kubernetes API is kubectl, a Kubernetes CLI tool that allows users to manage a Kubernetes cluster and perform a wide range of tasks.

Managing your clusters has become a complex and confusing task. With scattered tools and the requirement to learn specific tools from cloud providers, many companies have trouble making the most of the cloud. That's where OpenCP comes in. Join us as we explore the benefits of simplifying management across cloud platforms with OpenCP. We’ll dive into the benefits of using OpenCP, how it works, and how it is built on the best practices of kubectl and kubeapi.

DevOps engineers wishing to troubleshoot Kubernetes applications can turn to log messages to pinpoint the cause of errors and their impact on the rest of the cluster. When troubleshooting a running application, engineers need real-time access to logs generated across multiple components. Collecting live streaming log data lets engineers: The challenge that engineers face is accessing comprehensive, live streams of Kubernetes log data.

In this third and final part, you’ll get to see a few examples that aren’t strictly related to configuration changes or new tools, but rather ways that traffic replay can help streamline the development process for those deploying in Kubernetes.

Managing infrastructure while developing, building, and running an application is difficult for developers. In fact, many businesses often struggle with infrastructure management besides managing their applications. To tackle this problem, Platform-as-a-Service or PaaS came into existence. PaaS provides a platform with a cloud-based environment for developers to develop and manage their applications with pre-configured tools and frameworks.

Join us for a recap of the latest updates from Qovery Demo Day, held on February 9th. Our event provides insight into what we accomplished in the past month and what's to come while showcasing some exciting new features. From our refreshed website and pumped CLI, to job deployments and demos, to upcoming deployment order and parallel deployment, ARM instance type support, and audit logs, get ready for an exciting look at what's new with Qovery and what’s next! ✨