Home Innovations OpenStack Hangs Up The Cars With Its 20th Version: Train

OpenStack Hangs Up The Cars With Its 20th Version: Train

Yes, SUSE has left OpenStack, but the project has a lot of customers and is preparing to release its 20th version: Train. Update on new products. SUSE, formerly a Platinum Member of the OpenStack Foundation, may have left the OpenStack Infrastructure-as-a-Service (IaaS) open-source cloud project, but it continues to move forward with the next 20th OpenStack version: Train.
If SUSE no longer finds OpenStack profitable, others find OpenStack works well for them and their customers. “OpenStack is the market's primary choice for open-source infrastructure for containers, essential machines, and private cloud,” said Mark Collier, COO of the OpenStack Foundation in a statement.
"By 2022, 451 Research sees the emergence of a $ 7.7 billion market for OpenStack products and services and $ 4.3 billion for application containers, ”continues Mr. Collier.“ The open-source cloud market continues to grow towards a Eight-figure sales, it is clear that the OpenStack and application container markets are growing hand in hand. "

OpenStack and Kubernetes hand in hand?

While some believe OpenStack is losing ground to Kubernetes as a vital part of the cloud, the two actually work well together. A recent survey of OpenStack users revealed that "Kubernetes remains the premier framework among PaaS and container tools used to manage OpenStack applications. OpenStack and Kubernetes are increasingly used as complementary technologies, especially in multi-cloud scenarios. "
It is quite logical. Kubernetes most often runs on virtual machines (VMs) and OpenStack is the most popular of the VM-oriented IaaS. OpenStack users also value independence from public cloud providers. 83% of its users turn to it because it frees them from too much dependence on a single public cloud.
Still, OpenStack users often rely on public clouds such as Amazon Web Services (AWS) (44%), Microsoft Azure (28%) or Google Compute Engine (GCP) (24%). But most OpenStack users ensure that 58% of their infrastructure is powered by OpenStack.

Growth rate estimated at 20% from year to year

Furtherly, the main reason is that OpenStack's reach may be invisible to some users is that at least half of OpenStack deployments are in China. There, Huawei (28%), and EasyStack (22%), represent 50% of OpenStack deployments. Red Hat (20%), Canonical (16%), and Mirantis (5%) follow.
Thus, OpenStack continues to move forward with an estimated growth rate of 20% year on year. It currently powers over 75 public cloud data centers and thousands of private clouds at a scale of over 10 million compute cores.
To continue on this path, Train, the 20th release of the most widely deployed open-source cloud infrastructure software, will be available on October 16. Here are the three points of improvement: Strengthening security and data protection

RAID support

The Ironic bare metal service protects the services against disk failure. CERN, the European Organization for Nuclear Research, has led the upstream development of this feature and has already put it into production on over 1,000 nodes.

Hardware encryption

Nova, the OpenStack compute feature, has a new framework that supports hardware host memory encryption to protect users from attackers or rogue administrators who snoop around their workload when using the compute driver. libvirt. This feature is helpful for multi-tenant environments and environments with publicly accessible hardware.

Data protection orchestration

Karbor adds event notifications to plan, monitor, restore, schedule and trigger operations. This feature allows users to back up image boot servers with new data added that is on the root disk.

Acceleration support for AI and machine learning

Accelerator Lifecycle Management
In the Cyborg project, formerly Nomad, the Cyborg-Nova interaction specification creates a blueprint for launching and managing VMs with accelerators such as GPUs.

Improved management and monitoring of resources

The Train version completes the transition from placement capacity to a stand-alone service. This allows you to launch Apache, nginx, or other Web Interface compatible Web Server Gateway servers more quickly. In Train, the service response time is 0.7 seconds less than the 16.9 seconds of the previous Stein version.