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Qovery Demo Day Summary - June 2023

Join us for a recap of the latest updates from Qovery Demo Day, held on June 29th, 2023! Our event provides insight into what we accomplished in the past month and what's to come while showcasing some exciting new features with a special guest: Hamza, Senior Solution Engineer at Doppler. From our new deployment and audit logs to parallelize build and deployment and demos, get ready for an exciting look at what's new with Qovery and what’s next! ✨

Qovery Demo Day June 2023

Qovery is a platform delivering Environments as a Service in your Cloud, where you can build, deploy and test in production-like environments. Qovery turns app deployment and environment provisioning on AWS a breeze. Developers can instantly spin up production-like environments and start shipping in seconds. Join Albane (Product Marketing at Qovery), Romaric (CEO at Qovery) and Hamza (Senior Solution Engineer at Doppler) to see in action what we worked on last month and what's next.

How to Successfully Transition from DevOps to Platform Engineering

Are you thinking about switching from platform engineering to DevOps? You're not alone. In order to remain competitive, many organizations are making this crucial change as the world of software development and operations continues to change. This article will discuss the reasons behind the transition, what it implies, and most importantly, how your organization may successfully manage the change.

The Cost of Upgrading Hundreds of Kubernetes Clusters

At Qovery, we manage hundreds of Kubernetes clusters for our customers on different Cloud Providers. For most non-operational people, it’s hard to understand what it means behind the scene, the amount of work it represents, pitfalls we can encounter, and associated complexity. Our customers are coming for several reasons, but they’re all happy to have Qovery management on the Kubernetes maintenance and upgrade stack. On our side, it’s too many clusters to manage them manually.

Cloud Expenditure - A Storm is Brewing

Expenditure on cloud computing services reached a mammoth 225 billion dollars in 2022. Companies start their cloud-native journeys with the best intentions and consume the many benefits including: But current cloud expenditure growth levels are unsustainable for many organizations and with 82% of organizations investing in FinOps staff it shows that cloud expenditure is top of mind in the c-suite.

Machine Learning Made Simple - Civo Navigate NA 2022

Josh Mesout explores the complexities and challenges of adopting machine learning and artificial intelligence (AI). He discusses the struggle to embrace and understand these technologies, leading to a high failure rate. Mesout highlights the significant time spent on infrastructure engineering and the need for expertise across various disciplines. He addresses the difficulty in justifying ROI and the risks associated with machine learning. Civo introduces KubeFlow as a service to simplify machine learning, including lower pricing points, GPU Edge box, and partnerships.

Troubleshoot with Kubernetes events

When Kubernetes components like nodes, pods, or containers change state—for example, if a pod transitions from pending to running—they automatically generate objects called events to document the change. Events provide key information about the health and status of your clusters—for example, they inform you if container creations are failing, or if pods are being rescheduled again and again. Monitoring these events can help you troubleshoot issues affecting your infrastructure.

How to Handle Kubernetes Resource Quotas

A containerized approach to software deployment means you can deploy at scale without having to worry about the configuration of each unit. In Kubernetes, clusters do the heavy lifting for you—they’re the pooled resources that run the pods that hold your individual containers. You can divide each cluster by namespace, which allows you to assign nodes (ie the machine resources in a cluster) to different roles or different teams. Resource quotas limit what each namespace can use.