Operations | Monitoring | ITSM | DevOps | Cloud

Managing large volumes of documents in SharePoint Online can become challenging as storage needs grow. With rising storage costs and limits, organizations often look for efficient ways to offload files. One highly scalable and cost-effective solution is moving documents from SharePoint Online to Azure Blob Storage.

As more and more companies are moving their operations to the cloud, cost management becomes one of the significant concerns, and Azure cost allocation provides the solution for it. Due to the fact that more and more companies use Azure services, it has become crucial to define the correct Azure cost allocation and resource management.

Kubernetes is known for its modularity, and its integration with cloud environments. Throughout its history, Kubernetes provided in-tree cloud provider integrations with most providers, allowing us to create cloud-related resources via API calls without requiring us to jump through hoops to deploy a cluster that utilizes the power of underlying networking infrastructure. However, this behavior will change with the release of Kubernetes v1.31, and right now is the best time to plan for it.

In today's technology landscape, the hybrid cloud has become the backbone of today’s IT strategies. Combining the flexibility of public cloud services with the control of private infrastructure, hybrid cloud environments offer a balance of scalability, cost efficiency, and data sovereignty. But let’s be real: Managing these complex ecosystems isn't easy.

Microsoft Azure has announced the general availability of their confidential virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs, powered by Ubuntu. This offering combines the hardware-based protection of AMD EPYC processors with NVIDIA’s latest GPU technology to enable secure and high-performance AI workloads in the cloud. Combining these technologies allows sensitive sectors to unlock AI adoption through addressing previous concerns of critical data privacy.

AWS enables customers to retry or redrive Step Functions executions to continue any failed executions of Standard Workflows from their points of failure while maintaining all inputs. For example, if you find broken downstream logic in your code or experience unexpected errors upon execution, you can remediate those errors by fully re-running an execution or use redrive to continue this execution.

Google Cloud Platform (GCP) offers a great alternative to Amazon Web Services (AWS) and Microsoft Azure. If you use Google Products extensively at work, such as Google Workspace, moving to GCP may be a natural choice. Perhaps you already use GCP with AWS, Azure, or another cloud provider as part of your hybrid cloud strategy. But maybe you struggle to manage GCP costs, monitor security and compliance, and observe performance.