old-virtual-machine-network-devices-part-1

Network performance in many vSphere virtual machines is typically less than what it otherwise could be as, in most cases, virtual network devices are not kept up-to-date as they should be. For example, if your virtual machine was created with a vSphere flexible NIC and you later upgrade the virtual machine hardware as new versions of vSphere are released, you could unknowingly end up with that virtual machine being subjected to using a virtual NIC that operates at a measly 10Mbps.

No matter your situation, your network performance — which ultimately impacts application performance — could be greatly improved by using a new virtual network device and driver.

Impact

By unknowingly using outdated virtual network devices, you could experience unexpected and unexplained poor application performance. This poor VMware performance for network traffic is caused by inefficiencies in the virtual network adapter in use causing a higher number of IRQ requests than needed. This is especially problematic for virtual machines with applications that create high network load and packet generation such as virtual file servers, firewalls, and transaction processing servers. Not only will end users complain about poor application performance (due to poor VMware performance) and the inability to do their job, administrators may be confounded as to why the problem exists at all. old VMware NIC - vmxnet2 - can cause bad VMware performance

Ease of Detecting

To detect old virtual network devices, you can manually verify the virtual network adapter configuration on each virtual machine by clicking on the virtual machine settings and then expanding the virtual network adapter to verify the version (see Figure 8). VMware recommends the VMXNET3 virtual network adapter type for optimal VMware performance. If you have a large number of virtual machines this can become unwieldy. Instead, an automated tool that can detect these types of issues is needed in medium and large virtual environments.

Author

Thanks David Davis

CNIL
Metrics and Logs

(formerly, Opvizor Performance Analyzer)

VMware vSphere & Cloud
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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.

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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.

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

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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.

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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.

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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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