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Containers

The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Inside Story: Audit & Events Tracking Feature With Our Customer Feedback

At Qovery, we are dedicated to providing the best experience possible to our users when it comes to managing their cloud infrastructure. We believe that building features with our customers is essential to our success. That's why we worked closely with our customers to develop our new feature, Audit & Events Tracking.

Keynote with Steve Wozniak | Civo Navigate NA 2023

Kicking off Civo Navigate NA 2023, Mark Boost (CEO) and Dinesh Majrekar (CTO) had the chance to sit down on stage with Steve Wozniak and talk about the future of tech and his time at Apple. Woz also shared his thoughts on Tesla and Lucid Electric Cars, from past experiences he and his wife Janet Hill had, before moving on to talk about his time in college (both the University of Colorado Boulder and the University of California, Berkeley).

Dinesh, CTO of Civo KubeCon First Impressions & Civo Update | Civo TV

Listen to Dinesh, CTO of Civo, as he shares his first impressions of KubeCon and discusses Civo's mission to reimagine cloud-native services by offering fast and simple access to Kubernetes. Discover their new Kubeflow product for efficient machine learning workloads, their Managed Civo Stack, and the upcoming Civo Navigate conference.

Highlights from KubeCon + CloudNativeCon 2023

KubeCon + CloudNativeCon is the premier event that focuses on cloud-native technologies and Kubernetes. This year’s European edition took place in person and was completely sold out, with 10,000 attendees. Datadog joined the event as a platinum sponsor, and several of our engineers delivered talks on various topics, ranging from etcd to image signing and verification. In this post, we’ll share more details on these talks, along with our takeaways from the event.

Rethinking Cyber Security: Air-Gapping in Unconventional Places

Cyber security has become a top priority across all industry sectors, public and private. Securing a Kubernetes environment presents new challenges to organizations that are transitioning from traditional IT infrastructures to container management solutions in the cloud. As D2iQ VP of Product Management Dan Ciruli points out in “ Air-gapped Advantages in a Non-Air-gapped World,” surveys show a large percentage of Kubernetes environments are vulnerable to attack, as high as 87%.

The Kubernetes Alternative You've Been Looking For

If you’re in DevOps, you know the word ‘Kubernetes’. While saying that mouthful of a word (generally shortened to k8s in text) would have gotten you a weird look and someone asking if you need to lie down before 2017, it’s been sacrilegious to even consider starting a project without architecting your solution on top of it in the last few years.

Debugging Kubernetes with Automated Runbooks & Ephemeral Containers

In our previous blog, we discussed the difficulty in capturing all relevant diagnostics during an incident before a “band-aid” fix is applied. The most common, concrete example of this is an application running in a container and the container is redeployed—perhaps to a prior version or the same version—simply to solve the immediate issue.

Docker Secrets: An Introductory Guide with Examples

Securing sensitive data is crucial for any application, but managing this data can be complex and error-prone. Docker secrets provide a reliable and secure way to handle sensitive information like passwords, API keys, and certificates in your Docker environment. In this introductory guide, we’ll explore what Docker secrets are, how to use them with practical examples, and share some best practices to help you safeguard your sensitive data effectively.

How Cloud Native Can Reduce the Cost of Machine Learning

As engineers, we tend to pride ourselves on building a production-first mindset and operational excellence. According to a recent survey, 74% of executives believe that AI will deliver more efficient business processes, while 55% think that AI will help develop new business models and create new products and services. However, the reality is that 85% of ML projects fail to deliver, and 53% of machine learning prototypes don't make it to production.