Security in the cloud has become an increasingly important topic over the years, with the move to more managed services, additional trust is being handed over to cloud providers. With this being said, we must begin to pay closer attention to the security surrounding cloud computing, especially when it comes to Kubernetes. Join me as I explore the concept of confidential computing and a new use case we at Civo have been working on related to the Kubernetes control plane in managed clusters.
If you’re using Azure, you likely already know that it offers a wide range of storage options that can be used for various purposes. However, with so many storage options and regions available, it can be challenging to keep track of your usage in each Azure region. In this article, we’ll explore how to track your storage usage in each Azure region, and optimize your storage usage using Azure’s built-in monitoring and analytics tools, and Cloud Storage Manager.
Azure File Storage is a cloud-based storage solution that allows users to create and manage file shares in the cloud. It is an excellent choice for businesses that require scalable and durable storage for their data. Azure File Storage Performance Tiers are one of the essential components of this solution, as they determine the level of performance and cost of your storage.
Many developers and product teams are iterating faster and deploying more frequently to meet user expectations for responsive and optimized apps. These constant deployments—which can number in the dozens or even hundreds per day for larger organizations—are essential for keeping your customer base engaged and delighted. However, they also make it harder to pinpoint the exact deployment that led to a rise in errors, a new error, or a performance regression in your app.
Azure Blob Storage is a cloud-based storage solution that enables developers to store and manage large amounts of unstructured data. Blob storage can store any type of text or binary data, such as documents, images, audio, and video files. Blobs are divided into three types: block blobs, append blobs, and page blobs. Each type of blob has its unique characteristics and is used for different purposes.
Working from home has changed the business landscape, giving many professionals the option to take their tasks outside of the office and allowing them more control over their workdays and home life. Although many benefits can be gained from work-from-home setups, stress is not avoidable. Forbes highlights that common problems plaguing remote workers include distractions, communication and technical complications, and work-life unbalance.
After ChatGPT took off, the AI/ML market suddenly became attractive to everyone. But is it that easy to kickstart a project? More importantly, what do you need to scale an AI initiative? MLOps or machine learning operations is the answer when it comes to automating machine learning workflows.