look-out-vmware-ubuntu-15-10-is-released-into-the-wild-what-this-means-for-vmware-monitoring

Look Out, VMware: Ubuntu 15.10 is Released Into the Wild & What This Means for VMware Monitoring

Canonical released Ubuntu 15.10 in October of 2015. Nicknamed Wiley Werewolf, it is available for download, and comes with a number of new features and improvements. It comes with Linux Kernel 4.2, which itself features a number of changes and improvements, including support for AMD GPU driver, NCQ TRIM handling, F2FS per-file encryption, queue spinlocks, and a number of new or newly updated drivers. As the go-to operating system for most VMware environments and VMware monitoring, here is what you need to know about the all-new version.

Ubuntu 15.10 Features the Unity 7.3.2 Desktop

VMware Monitoring

Ubuntu 15.10 features the Unity 7.3.2 desktop experience.

Ubuntu 15.10 features Unity as its primary desktop. Currently, Unity is in version 7.3.2. This version features lots of bug fixes, plus some improvements that make the desktop experience sleeker and more usable. Unity 7.3.2 also features drag and drop apps to create shortcuts from dash to desktop, page up and page down keyboard nav that works as a scroll from the dash, and a fix to eliminate computer shut down when the screen is locked, among many other new handy features.

Ubuntu 15.10 Features GNOME Stack 3.16 

Ubuntu 15.10 also comes with GNOME stack version 3.16x. 

However, the Nautilus file manager for Ubuntu 15.10 still comes with version 3.14 and Gedit text editor (which dates way back to March 2010). 

Ubuntu 15.10 comes with GNOME overlay scrollbars, replacing Unity’s for GTK3 apps.

Ubuntu Make in Version 15.10

Make is Ubuntu’s command-line utility, which allows users to gain access to the most current version of all the popular Ubuntu development tools via quick and easy download. Ubuntu Make supports more platforms than ever before, plus tons more frameworks and services and other handy tools for developers.

Stateless Persistent Network Interface Names

limited naming system

If you’ve grown tired of the limited naming system of the old versions, you’ll be happy to know that your options just opened up considerably.

Ubuntu 15.10 marks the rollout of all new stateless persistent network interface names. This feature means that developers will no longer be relegated to naming network interfaces things like etho0 or eth1. Now, developers can take advantage of more comprehensive, descriptive, and relevant naming systems. Additionally, names remain valid even if you have to restart or if the hardware is completely taken out of the environment.

Ubuntu 15.10 Features Steam Controller Support

Also in the Wiley Werewolf release of Ubuntu, Ubuntu Developer adds support for Steam Controller. As it stands now, the Steam package can only be obtained with Ubuntu 15.10, but do not rule out the possibility that this patch might be tacked on to some other distributions. In other words, users of 15.10 can simply plug and play the new controller and open Steam, with no need to read and apply complicated or confusing advice from tutorials.

Are you ready to learn more about Ubuntu version 15.10 or other new developments in VMware monitoring? 

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Use Case - Tamper-resistant Clinical Trials

Goal:

Blockchain PoCs were unsuccessful due to complexity and lack of developers.

Still the goal of data immutability as well as client verification is a crucial. Furthermore, the system needs to be easy to use and operate (allowing backup, maintenance windows aso.).

Implementation:

immudb is running in different datacenters across the globe. All clinical trial information is stored in immudb either as transactions or the pdf documents as a whole.

Having that single source of truth with versioned, timestamped, and cryptographically verifiable records, enables a whole new way of transparency and trust.

Use Case - Finance

Goal:

Store the source data, the decision and the rule base for financial support from governments timestamped, verifiable.

A very important functionality is the ability to compare the historic decision (based on the past rulebase) with the rulebase at a different date. Fully cryptographic verifiable Time Travel queries are required to be able to achieve that comparison.

Implementation:

While the source data, rulebase and the documented decision are stored in verifiable Blobs in immudb, the transaction is stored using the relational layer of immudb.

That allows the use of immudb’s time travel capabilities to retrieve verified historic data and recalculate with the most recent rulebase.

Use Case - eCommerce and NFT marketplace

Goal:

No matter if it’s an eCommerce platform or NFT marketplace, the goals are similar:

  • High amount of transactions (potentially millions a second)
  • Ability to read and write multiple records within one transaction
  • prevent overwrite or updates on transactions
  • comply with regulations (PCI, GDPR, …)


Implementation:

immudb is typically scaled out using Hyperscaler (i. e. AWS, Google Cloud, Microsoft Azure) distributed across the Globe. Auditors are also distributed to track the verification proof over time. Additionally, the shop or marketplace applications store immudb cryptographic state information. That high level of integrity and tamper-evidence while maintaining a very high transaction speed is key for companies to chose immudb.

Use Case - IoT Sensor Data

Goal:

IoT sensor data received by devices collecting environment data needs to be stored locally in a cryptographically verifiable manner until the data is transferred to a central datacenter. The data integrity needs to be verifiable at any given point in time and while in transit.

Implementation:

immudb runs embedded on the IoT device itself and is consistently audited by external probes. The data transfer to audit is minimal and works even with minimum bandwidth and unreliable connections.

Whenever the IoT devices are connected to a high bandwidth, the data transfer happens to a data center (large immudb deployment) and the source and destination date integrity is fully verified.

Use Case - DevOps Evidence

Goal:

CI/CD and application build logs need to be stored auditable and tamper-evident.
A very high Performance is required as the system should not slow down any build process.
Scalability is key as billions of artifacts are expected within the next years.
Next to a possibility of integrity validation, data needs to be retrievable by pipeline job id or digital asset checksum.

Implementation:

As part of the CI/CD audit functionality, data is stored within immudb using the Key/Value functionality. Key is either the CI/CD job id (i. e. Jenkins or GitLab) or the checksum of the resulting build or container image.

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