Operations | Monitoring | ITSM | DevOps | Cloud

Every service you acquire to use temporarily and let go of when you’re done can use the “as a service” suffix. A cab is a vehicle as a service. Rather than buying a car, you merely pay to have another person’s car move you from one point to the next. IT services embody the same model. Browser-based text editors alleviate the need to install fully-fledged word processors on computers.

As we shift enterprise computing to the cloud, the need for database migration increases—but with this comes the inherent challenges of migration and the need to plan. Moving to the cloud can come with more risks and obstacles than migrating a database within a data center or from one on-premises data center to another. If a business isn’t fully prepared to migrate, they’re almost certain to run into issues.

It shouldn’t be a surprise that Lambda configuration error is one of the most common error messages, and we all know AWS error messages aren’t known for being especially detailed. Oftentimes you will come across other vague error messages like “encoding not enabled,” or “stream is failing,” and depending on the context, this could mean your services could be completely down.

March 25th, 2021 – Canonical, Collabora and Nextcloud announce the immediate availability of a content collaboration platform for 64bit ARM for both consumers and enterprises. Building on the prior Nextcloud Ubuntu Appliance it adds with Collabora Online, the first viable self-hosted web office solution on the popular Raspberry Pi 4 platform.

When starting a cloud migration project, one of the most important and often challenging parts is to have an accurate understanding of what you are trying to migrate. Over time, companies start new projects, which means creating new infrastructure, adding servers, databases, etc. This is a normal part of the development cycle. However, despite best efforts, inventories get out of sync.

Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of the universal Operator Lifecycle Manager (OLM) using Juju, a universal OLM, to create and manage on premise AI infrastructure.

In this first edition of our Customer Spotlight series, we are joined by James Kahn and Ben Gittins of Idea 11. Idea 11 is an award-winning, full-stack AWS IT company that specializes in digital transformations, cloud infrastructure, software development and managed services.