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.

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.

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.

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.

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.

In the world of cloud computing, we rely on abstraction layers to manage complex systems. While this simplifies development, it also creates vulnerabilities for sensitive data. Traditionally, privileged software within the cloud has access to your data, and could pose a significant security risk, if not managed properly. But there’s a new way to protect your data: confidential computing.

Exciting times here at SolarWinds. We’re uniting our Self-Hosted and SaaS observability offerings under a single umbrella, SolarWinds Observability, and announcing a host of enhancements that will allow us to go even further to meet our customers' hybrid IT needs. Let’s take a look at what’s in store.

As both the State Of FinOps 2024 and the State Of Cloud Costs In 2024 indicate, reducing cloud waste remains a top priority for cloud-driven organizations. Cloud spenders care more than ever about cost efficiency — and CloudZero is working tirelessly to make cloud savings simpler. To this end, we’re proud to announce that we’ve added a suite of automated Azure optimizations to our already robust library of automated Insights.

Deploy Google Cloud's high-performance, PostgreSQL-compatible database AlloyDB Omni on AWS, Azure and Google Cloud, managed by Aiven’s multi-cloud, data infrastructure platform.