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.

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.

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.

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%.

So you want to spin up a Postgres database on your local machine, but you don't fancy having to install and manage everything manually? Running Postgres inside Docker is a great way to simplify the situation. It lets you: In this article I will explain how to do this step by step.

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.

End-to-end testing is a critical process in software development that ensures the reliability and functionality of an application. However, setting up and managing end-to-end testing workflows can be challenging, often requiring complex infrastructure and time-consuming maintenance. This is where ephemeral environments come in.

If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.

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.

D2iQ celebrates its 10th anniversary this week. What is remarkable about this decade of growth is the way the maturation of the D2iQ Kubernetes Platform (DKP) has followed the curve of Kubernetes maturation and adoption. As last week’s KubeCon Europe 2023 conference showed, the container management technology that they pioneered is going gangbusters.