Operations | Monitoring | ITSM | DevOps | Cloud

We’re pleased to announce the availability of Kubewarden 1.5.0! This release brings the usual amount of small bug fixes, dependency updates, and a major security enhancement. Let’s take a closer look!

Yesterday, GitHub changed how the archives they provided are made. The result of this change surprised developers, triggering pipeline failures all over the world in most ecosystems. According to this GitHub post, this is a consequence of recent changes to Git itself, released almost six months ago and just deployed within GitHub now with unforeseen impact. This change has thankfully been retracted.

Before Megaport, MetTel’s customers battled impaired application performance and deployment delays when moving to the cloud. Now, their connectivity enables high-performance applications in the most distributed cloud environments. Here’s how.

We often speak to organizations about Azure and one of the common questions is what is the difference between App Insights and Log Analytics. In this article we will aim to discuss those differences and overlaps. If we think about the Azure Monitoring Platform / ecosystem, then Log Analytics and App Insights both play a role within that platform as shown below. Log Analytics plays a role in the storage of Log Data and the analysis of Log Data.

Too often, when organizations migrate workloads to the cloud or build new cloud-native applications, they don’t really think about storage. The cloud provider takes care of all that, right? Well, yes and no. There are cost implications to cloud storage that many don’t adequately anticipate—until they get the bill, that is.

Organizations all over the world have been moving workloads to the cloud. Microsoft Azure provides a host of benefits and services which make it a top choice for on-premises to cloud migrations. When it comes to migrating workloads, Azure virtual machines are a great choice with VM options up to 416 vCPUs and 12 TB of memory and storage IOPS up to 3.7 million.

A few years ago, the school’s technical support could still cope with its tasks. Help with technology in the classroom, maintenance of educational platforms, statistics, accounting – all these were difficult, but it was still possible to handle a few people and the IT department of the school. But the pandemic has shown how educational institutions, from elementary schools to universities and academies, need more time to be ready for large-scale work in the digital space.