Operations | Monitoring | ITSM | DevOps | Cloud

In software development, the name of the game is to develop reliable systems in a fast-paced manner. As development shops have evolved to increase the speed of delivery, many organizations have embraced the Agile development practices of continuous integration and continuous deployment (CI/CD). But the very nature of fast-paced development introduces challenges — particularly around the quality and the reliability of the software being developed.

It's common practice that development environments for the same product are kept the same (or at least compatible) for smooth software development life cycle (SDLC) workflow. That brings the question, why do we need more than one environment for the same product. In today’s modern software development, it is crucial for product development teams to maintain an effective and rapid workflow if they want to gain a competitive edge in the product market.

One of the easiest transport layer protocols available in the TCP/IP protocol suite is the User Datagram Protocol (UDP). The communication mechanism involved is minimal. With UDP, neither the receiver nor the sender receives any acknowledgements of packets received. This protocol's shortcoming makes it unreliable and easier to process than many other protocols. Although UDP is considered an unreliable transport protocol, it uses IP services to ensure the best attempts are made to deliver data.

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.