Month: June 2015

vmware-vmotion-how-it-works-part-1-introduction

Though vMotion and Storage vMotion each serve a different purpose, they feature a large amount of overlapping technology. Therefore these two vSphere functions fit well together in one chapter. Both technologies are proactive. This means vMotion is used to migrate virtual machines between running ESX-hosts while Storage vMotion migrates the data between fully functional data …

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kb-vmware-vm-vmotion-fails-because-of-multiple-vm-registration

A pretty old Knowledge Base article has been updated by VMware as the issue is still existing when running vSphere 6. Photo courtesy of griffithchris(CC Attribution) Symptoms Looking at the symptoms mentioned in VMware KB 1005051: Virtual machine appears to be running or registered on multiple ESX/ESXi hosts: This issue occurs when: A vMotion fails …

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snapshots-we-dont-need-no-stinking-snapshots

Please make sure to check out Nigel’s blog post about how he handles VMware VM snapshots using Snapwatcher! http://nigelhickey.com/broken-snapshots-got/ Excerpt: If you know what snapshots are you obviously know the love-hate relationship that they bring to the table. We rely on them for quick rollback points when updating apps or maybe you’re using them on a …

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from-box-to-cloud-by-mckinsey

Santiago Comella-Dorda, Chandra Gnanasambandam, and Bhavik Shah from McKinsey published an article about the adoption and the benefits of cloud computing.  They don’t stop with the common marketing phrases about cloud computing for end customers, they especially cover the aspects from a development perspective as well. We couldn’t agree more to the article content and …

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vmware-kb-quiescing-operations-cause-a-windows-virtual-machine-to-panic

VM Snapshots continue to be a extremly valuable feature but there are some bugs you can run into. One of the more annoying bugs, if you are affected, is a Windows OS panic when quiescing the file systems due to VM snapshot creation. The read more about this VMware bug, you can read VMware KB article …

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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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