Operations | Monitoring | ITSM | DevOps | Cloud

Azure Storage is a cloud-based storage solution that provides secure, scalable, and highly available storage for your data. It is a crucial component of Microsoft’s Azure cloud platform, providing various storage services, including Blob Storage, File Storage, Queue Storage, Table Storage, and Archive Storage. In this article, we’ll take a deep dive into Azure Storage and discuss 90 things you may not know about it.

Artificial Intelligence (AI) has become a buzzword in recent years. From chatbots to self-driving cars, AI has transformed how we live, work, and interact with the world around us. AI technology has been deployed across various sectors, including healthcare, finance, manufacturing, and more, to improve efficiency, accuracy, and decision-making capabilities. However, as AI systems become more complex, monitoring them to ensure optimal performance and prevent issues or errors becomes crucial.

AirDroid Remote Support for Business is an all-in-one remote assistance solution for IT professionals and customer service teams to tackle both hardware & software issues.

Canonical is happy to announce that Charmed Kubeflow 1.7 is now available in Beta. Kubeflow is a foundational part of the MLOps ecosystem that has been evolving over the years. With Charmed Kubeflow 1.7, users benefit from the ability to run serverless workloads and perform model inference regardless of the machine learning framework they use.

Today’s Cognitive Network Operations Center (Cognitive NOC) is a significant advancement that employs artificial Intelligence (AI) and machine learning (ML) to dramatically modernize and improve network management and operations. Working together, the NOC and IT Process Automation (ITPA) propel superior efficiency and effectiveness of network operations, minimize downtime, lower operational costs, and overcome additional challenges in optimizing network performance.

Preview environments are temporary environments where developers can test code changes before deploying them to production, also called ephemeral environments, they’re temporary and should be discarded after testing changes. Carrying out tests using accurate data is a major challenge when creating and destroying environments. Put differently, you need realistic data and traffic in the preview environment to reflect the performance of code changes in production.

Businesses are constantly trying to up their game in the digital transformation era. Modernizing legacy systems, keeping on top of software updates, and building business applications are not easy feats. As organizations contemplate the path ahead, a large strain is put on the constantly constrained IT department. When the relevant stakeholders feel that the IT team will take too long to provide a solution, they choose to go for alternate options, bypassing the IT team.

With a range of network and computing capabilities now offered via the cloud, it can be tricky to keep up. We explain the four core “as a service” offerings and their use cases.