Operations | Monitoring | ITSM | DevOps | Cloud

Building applications and managing infrastructure at the same time is a complex task. It involves managing multiple software and hardware components, plus an evolving ecosystem of dependencies and external tools. There’s also the need to keep up with changing technologies while coordinating different teams and delivering solutions to meet business goals.

As IT evolves alongside both the physical and – now more common – digital workplace, so too does the IT infrastructure that sustains it. Basically, the IT infrastructure of an organization includes the whole set of IT assets that keep it operating. And, in recent years, we’ve seen a significant migration from mostly traditional infrastructure (i.e. servers and storage devices) to the more cost-effective cloud infrastructure.

Azure File Storage, a component of Microsoft Azure’s broader cloud services, is a managed file storage service for the cloud. Its fundamental design is to create, manage, and share file systems securely and easily using standard protocols supported by most operating systems. It offers fully managed file shares in the cloud accessible via the industry-standard Server Message Block (SMB) and Network File System (NFS) protocols.

As the digital world continues to evolve, the realm of virtualization is gaining increasing traction. At the heart of this evolution is the System Center Virtual Machine Manager (SCVMM), a pivotal component of Microsoft’s System Center suite. By providing comprehensive management capabilities for virtualized datacenter environments, SCVMM presents a modern solution for today’s complex IT infrastructures.

On this episode of Densify Talks, Josh and Andrew discuss automated instance selection and the importance of letting machines make the resource decisions as cloud environments scale. Speaking from the perspective of a hardware manufacturer, Josh offers unique insight into some of the criteria that affect the performance and cost of hosting apps in the cloud, and how to leverage “optimization as code” to automate the optimization process.

Are you tired of using security tools that generate endless results, making it impossible to identify actual risks? Do you struggle with inefficient prioritization due to a lack of context, making the process of assessing and remediating vulnerabilities a time-consuming nightmare? Look no further than JFrog’s Contextual Analysis, available as part of the “jf audit” command in the JFrog CLI.

Today I will speak about another helpful Best Practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): How to process an Array or a single object JSON structure in the same manner.