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.

The continuous debate around artificial intelligence (AI) has led to a lot of confusion. There are many terms around it that appear to be similar, but when you take a closer look at them, that perception is not entirely accurate. For that reason, here we take our best shot and oppose AI vs. machine learning vs. deep learning vs. neural networks to set them apart once and for all. In short, we’ll look at how they all relate to each other, and what makes them different in their particular way.

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.”

With latest AppBeat release you can now access unique and powerful new feature which allows you to define custom monitoring expression for any workflow. Possible use cases: Expression examples: As you can see this framework is very flexible and allows you endless new monitoring options which were previously not possible. Happy monitoring!

In the old days, the most senior members of an engineering team were the best debuggers. They had built up such an extensive knowledge about their systems that they instinctively knew the right questions to ask and the right places to look. They even wrote detailed runbooks in an attempt to identify and solve every possible issue and possible permutation of an issue.

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.

Service Level Agreements (SLAs) are a crucial part of Service Level Management, and therefore one of the key components of IT service management. They are the basis for building and delivering IT services, and play a key role in ensuring that both the client and the service provider are on the same page and that the service delivery is at par with or exceeds customer expectations.

Founded in 2015 with a mission to “empower eCommerce businesses to deliver a top-notch customer experience,” Gorgias is a multi-channel eCommerce helpdesk service for small to medium businesses. Among their core values are ownership, excellence and a customer-first mindset, and CTO and co-founder Alex Plugaru understood from day one that, for engineering teams to be successful, the tools he set them up with had to facilitate that.