To manage an OpenStack cloud infrastructure, you need to manage the configuration of the individual cloud services and the orchestration between them. There are some Open Source tools that can help you with these tasks, and there are many ways to evaluate them. Some considerations include the language used or perhaps availability of a UI.
Open Source automation tools have modules to manage OpenStack and free up time for other tasks. Puppet is used in Red Hat OpenStack Platform Director, Chef is used by SUSE, Ansible is used by HPE Helion and Juju has its own configuration engine and collection of Charms to deploy and manage OpenStack.
Monitoring a server involves watching the performance of a single physical or virtual machine. Conversely, VDI almost always consists of multiple servers working together. As such, one of the big VDI monitoring challenges is scalability: Admins must simultaneously monitor the performance of each of the servers that plays a role in VDI. The second factor that complicates VDI monitoring is translating the raw performance metrics into something meaningful.
Now, imagine a VDI server clocks in with an excessively high CPU utilization value. What does it mean for the end-user experience? It is really difficult to say for sure. The user might suffer severe performance problems as a result of insufficient CPU resources.
IT is challenged by the line of business to deliver a competitive edge to compete in a global market. Securely delivering vApp and data to any device is a core IT workflow to enable productivity. Top executives at the biggest corporations are now handling most of their business via their mobile device because they need to be able to make decisions where customers, suppliers, and employees are at exactly the moment it matters.
CEO of Coca-Cola Germany, Ulrik Nehammer, says about his need to be mobile that “the most dangerous place to make a decision is in the office.”.
If you’ve used tools like Docker, you already know that these tools are capable of isolating processes in small “containers”. Running processes in Docker containers is like running them in virtual machines, only these containers are significantly lighter than virtual machines.
With the introduction of Linux namespaces, it became possible to have multiple “nested” process trees. Each process tree can have an entirely isolated set of processes. This can ensure that processes belonging to one process tree cannot inspect or kill – in fact cannot even know of the existence of – processes in other sibling or parent process trees. Every time a computer with Linux boots up, it starts with just one process, with process identifier (PID) 1. This process is the root of the process tree, and it initiates the rest of the system by performing the appropriate maintenance work and starting the correct daemons/services.
The event organized by our partner MicroCAD Systems on the Transformation of the Datacenter where they talked about the advantages of UDS Enterprise and Nutanix Acropolis as a VDI joint solution, the new features introduced in the new version of Red Hat Enterprise Linux and how our connection broker meets the current needs of the workplace have been the most popular articles in our blog during the las two weeks.
Find below the links to the posts on these topics so that you can keep up to date with the most interesting news on virtualization and Open Source according to our readers:
Software developers use Linux containers to save time and money, providing a mechanism to build much more manageable applications through development, testing and environments of implementation with a better security in the software life cycle as in their actions and scenarios.
According to Forrester, more than half of operations and IT development responsible see security as the biggest concern when adopting containers.
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