Even after the public cloud hype, private clouds remain to be a very essential part of many enterprises’ cloud strategy. Private clouds are simply giving CIOs more control over their budgets, enabling better security and allowing the flexibility to build best of breed IT solutions. So let’s stop here and take a step backwards, why are organisations even investing in their IT?
Linux Active Directory (AD) integration is historically one of the most requested functionalities by our corporate users, and with Ubuntu Desktop 22.04, we introduced ADsys, our new Active Directory client. This blog post is part 3 of a series where we will explore the new functionalities in more detail.
15 June 2022: Canonical today announced that Ubuntu Core 22, the fully containerised Ubuntu 22.04 LTS variant optimised for IoT and edge devices, is now generally available for download from ubuntu.com/download/iot. Combined with Canonical’s technology offer, this release brings Ubuntu’s comprehensive and industry-leading operating system (OS) and services to a complete range of embedded and IoT devices.
Ubuntu Core, the Ubuntu flavour optimised for IoT and edge devices, has a new version available. With a 2-year release cadence, every new release is both an exciting and challenging milestone. Ubuntu Core is based on Ubuntu. It is open source, long-term supported (LTS), binary compatible and offers a unified developer experience. It allows developers and makers to build composable and software-defined appliances built from immutable snap container images.
If you are packaging your IoT applications as snaps or containers, you are aware of the benefits of bundling an application with its dependencies. Publishing snaps across different operating system versions and even distributions is much easier than maintaining package dependencies. Automated IoT software updates make managing fleets of devices more efficient.
Last May, KubeCon gathered multiple tech enthusiasts, students, professionals, and companies. The event highlighted various topics and insights on how to collaborate on pushing the boundaries of cloud-native computin One of our Engineering Directors, Mykola Marzhan, shared his knowledge about databases on Kubernetes at KubeCon, during a session organised by the DoK.Community. We’ve picked out some of the key highlights from the talk below.
IT leaders, engineers, and developers must consider multiple factors when using a database. There are scores of open source and proprietary databases available, and each offers distinct value to organisations. They can be divided into two primary categories: SQL (relational database) and NoSQL (non-relational database). This article will explore the difference between SQL and NoSQL and which option is best for your use case.
In the previous blog, SQL vs NoSQL Database, we discussed the difference between two major database categories. In a nutshell, the main difference between NoSQL and SQL is that NoSQL adopts a ‘right tool for the job’ approach, whilst SQL adopts a ‘one tool for all the jobs’.
A real-time system responds to events within a specified deadline. If the timing constraints of the system are unmet, failure has occurred. In the kernel context, real-time denotes a deterministic response to an external event, aiming to minimize the response time guarantee.
Managing a Kubernetes cluster is a complex endeavor. As demands on a cluster grow, increasing the number of deployed pods can help ease the load on the system. But what do you do when you run out of nodes to host those pods, or when the load decreases and some nodes are no longer needed? Manually adding or removing nodes is possible, but wouldn’t it be better if there was a way to automate that task? Fortunately, that’s exactly what the Kubernetes Autoscaler charm is for!
