August 2015, VMware announced Validate Designs. Though not brand new anymore, there have been some questions within the community about exactly what Validated Designs actually is, what it does, why it’s needed, and how it affects VMware monitoring tools and activities. Validated Designs are actually architectures that were developed and validated by VMware gurus. 

The designs encompass the whole product stack that is utilized in VMware’s SDDC (software-defined data center). Validated Designs offers architectures for every deployment scenario and use case that are both standardized and streamlined. The designs are offered to enhance the interoperability, testing, and product support, but also to streamline and facilitate deployments of the SDDC. What we now have is a comprehensive collection of documentation that specifically targets the various SDDC deployment situations and architectures. 

So, if VMware users already have reference architectures, white papers, etc. for all of VMware’s product releases, why is it necessary to spend the time and effort to deliver Validated Designs? The answer is because, while those alternatives work fine for resource purposes, those are useful only for that specific version of that specific product. VMware Validated Designs takes into consideration the entirety of the SDDC stack and makes sure to cover things like product version compatibility, continuing testing that involves new product releases, and testing and validating upgrades to make sure that what you deploy now will be able to be upgraded in the subsequent version(s). 

Some of the reasons for and benefits of VMware Validated Designs (as well as how it affects VMware monitoring) include: 

Validated Designs Means a Faster Time to Value

VMware Validated Designs

Validated Designs helps you move from a traditional data center setup to the software defined data center using proven architectures developed by experts in the field. It eliminates the guesswork. 

One of the drawbacks to migrating from a traditional data center infrastructure to the SDDC is that it takes some time after deployment to begin delivering a return on all those investments. With Validated Designs, that time between migration to an SDDC and the time that it begins delivering a return to the business on its investment is much quicker. You can get even more performance when you couple Validated Designs with an established VMware monitoring tool, like Opvizor’s Snapwatcher solution. 

Building Confidence in the SDDC 

Another issue when you opt for SDDC over a traditional data center is that users (and frequently, upper management, as well) are often a bit skeptical. Validated Designs gives you the power to build the SDDC using a tried and true architecture. It comes with recommended ongoing operations for Day Zero, Day One, Day Two, etc, and lowers the chances of errors when it comes to deployment. 

Leverage Expert Designs for Your Own Data Center 

Maybe you aren’t an expert when it comes to designing the data center. That doesn’t mean you don’t get to leverage an expert design. With Validated Designs, every design for any given deployment scenario has been developed by a team of VMware experts. Since the design you choose has already been optimized, based on real feedback from real customers in real-world situations, you and your team don’t have to go through a laborious trial and error process. 

The Design is Comprehensive 

All of the Validated Designs come with everything you need to set up and implement a fully functional SDDC for a variety of use cases. Still, the designs are always agnostic in terms of the hardware used in the data center. Validated Designs establish reference architectures, walkthroughs of the data center deployment, guides for deployment, guides for operations, and much more. 

The Validation of the Designs is Continuous 

Every design in Validated Designs is validated continuously by the VMware team. This is done by automated testing, to make sure that after a design has been validated it remains valid. Each new build of any specific component of the design falls into an automated deployment of the design. 

Reference Architecture Documents & Deployment Walkthroughs 

According to VMware’s site, "These documents describe the implementation of a Software-Defined Data Center (SDDC) that leverages the latest VMware products and technologies. In particular, they detail out two designs – Foundation and Single Region IT Automation Cloud."The Foundation design describes a scalable, resilient, best-practice configuration for either single region or dual region, on which all additional functionality is layered. 

The Foundation configuration uses industry-standard servers, IP-based and VMware Virtual SAN storage, and software-defined networking to support a scalable and redundant architecture. Single Region IT Automation Cloud is an automation cloud based on VMware technology which enables an IT operations team to automate the provisioning of common repeatable requests and to respond to business needs with agility and predictability." 

Operations Walkthroughs

VMware Validated Designs

Validated Designs walks you through some of the most common architectures, as well as the problems VMware users frequently have, offering tried and true solutions for getting the SDDC set up and running optimally and securely. You’ll still need a good VMware monitoring tool, though. 

The Operations Walkthroughs documents offer actionable demonstrations of common operations and management activities (in other words, those Day Two operations) that are done inside the SDDC. 

There are currently only a few sections in the Operations Walkthroughs: Object Management, Content and Storage Management, Capacity Management and Data Confidentiality and Integrity.

The Object Management section teaches users how to organize and secure the objects that are inside the vSphere environment. Topics included in the Operations Management section include how to use the tagging function and how to protect the environment with solid backups.The Content and Storage Management section includes how to configure and make use of the content library, and how to manage and consume the content. 

This section also offers examples of using vSphere Storage Policy Based Management, as well as how to use Virtual SAN to deal with storage related issues.The Capacity Management section teaches users how to foresee and plan for capacity needs, as well as how to respond to particular needs by setting up new clusters or expanding the existing clusters.The Data Confidentiality and Integrity section gives users a bit of a how-to for VMware monitoring, as well as how to manage security certificates within vSphere and vRealize Operations Manager.

VSAN Performance Monitoring

VMware Validated Designs is good, and when coupled with a revolutionary VMware monitoring tool that includes VSAN, it’s even better. Sign up for Performance Analyzer today and start 30 days for free.

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Use Case - Tamper-resistant Clinical Trials


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.).


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


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.


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


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, …)


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


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.


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


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.


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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