Operations | Monitoring | ITSM | DevOps | Cloud

In the era of technology defined by cloud computing, features evolve at the blinding speed of continuous deployment. When large software development organizations like Microsoft deliver semi-annual releases of products, like SQL Server, the volume of new features can be so large they can be hard to grasp. Microsoft continues to push the boundaries on what’s possible, both in on-premises and cloud data platforms, and they aim to make the life of data professionals much more manageable.

One of the best features of the public cloud is that it utilizes a model that enables multiple organizations to share cloud resources. This approach leverages economies of scale, ensuring each tenant sharing those resources receives a lighter bill than if they utilized a private cloud dedicated to just them. Likewise, multi-tenancy in cloud computing is cloud architecture that enables multiple organizations/customers/users to share resources like virtual machines, storage, and server components.

Kelverion have put together this Azure Automation Best Practices Guide to support the creation of automation process in Azure Automation. Our consultants work with Azure Automation every day and have substantial experience with Azure Automation and IT automation built using other tools. It’s important to recognize that these are recommendations rather than hard and fast rules.

A while ago, we asked our customers to write reviews about their experiences working with us. With an average rating of 4.6 out of 5 and ten reviews submitted and published within two weeks, we were humbled by the responses. As our CEO, Toffer Winslow wrote, “Perhaps the thing I was most proud of…was just how frequently our customers commented on the high quality of StackState employees they interact with and the caliber of service we deliver.”

Azure Active Directory (Azure AD) is a comprehensive cloud-based platform used around the world. It is an identity provider and access management service. If a company employs OneDrive, Skype, or Outlook, they are already using Azure in some capacity. Similarly, if a company uses Microsoft Teams or other applications in the Microsoft Office Suite, they are accessing them by logging into Azure AD.

Hyperconverged infrastructure (HCI) is a data center architecture that uses software to provide a scalable, efficient, cost-effective way to deploy and manage resources. HCI virtualizes and combines storage, computing, and networking into a single system that can be easily scaled up or down as required.

Self-hosted runners allow you to host your own scalable execution environments in your private cloud or on-premises, giving you more flexibility to customize and control your CI/CD infrastructure. Teams with unique security or compute requirements can set up and start using self-hosted runners in under five minutes.

Qovery V3, which is the most significant product evolution of the last twelve months, was launched in Alpha testing about two weeks ago now. We started gathering some feedback and also added some new functionality since then so let’s take a look on how’s going.

IT teams have been relying on observability tools to (theoretically) provide intelligence and insights into operating conditions within an organization’s digital infrastructure for years. But most of these tools have come with significant shortcomings that leave IT teams wanting more.