My application definitely needs 12 CPUs and at least 128 GB of memory – oh, and 1TB of flash storage. Otherwise it won´t work as fast as required and we need to take into account that its virtualized. So we better plan for more resources.

I bet, most or even all system administrators listened to requests like that, just the numbers differ. 

Unfortunately, more often than not, we figure that most of the resources configured are not completely used. Actually, most of the time, a big chunk of resources is not used at all.  

So we just wasted valuable memory and disk resources to not one but many virtual machines – a very costly situation. Therefore, its a must to check for VMware vSphere wasted resources on a regular basis, to find potential resource waster, that can run with much less memory, disk or cpu cores.

Performance Analyzer can support and guide to detect and delete vSphere wasted resources. 

Follow these simple steps using the different dashboards provided.

The described issue above is fueled by the rapid growth of VMware environments and eventually results in unexpected budget stretches and potential bottlenecks for rightsized VMs. 

Finding and eliminating wasted and unused resources such as snapshot waste, under/oversized VMs, rogue VMDKs, and idle VMs can save thousands of dollars and make budgeting and planning more predictable.  Performance Analyzer is the perfect solution to detect vSphere wasted resources and resource optimization.

Finding and fixing VMware vSphere Wasted Resource and Optimization in a few steps:

Identify Idle VMs

Identifying unused or idle VMs is time-consuming and error prone. The process involves running and analyzing reports of CPU and network utilization and manually comparing the results to sort out and identify virtual machines that are presumed idle. This process does not factor in the interactions between VMs, the variable patterns of their activity or other infrastructure resources overlooking the importance of the components or production workloads.

Performance Analyzer ease of use simplifies the identification of underused virtual machines and show the potential cost savings that may result from deleting or rightsizing them. Performance Analyzer furthermore tracks historic usage behavior of the VMs over time to get a precise understanding about the VM requirements.

Stay on top of idle VMs:

Detect Idle VMs

You can find a special starter dashboard here: Performance Analyzer online manual

Identify Undersized/Oversized VMs

Performance Analyzer gathers all important performance metrics over time for every virtual machine and ESXi host to simplify the detection of undersized or oversized VMs. Right-Sizing these has a immediate impact on your overall performance and eventually your next budget decision.

Stay on top of your VMware VM sizing:

vSphere wasted resource

Do a regular housekeeping deleting costly snapshot waste and rogue snapshots

Identifying snapshot waste is similarly difficult. Snapshots provide a change log for a virtual disk and are a convenient way to restore a VM to a particular point in time when a failure or system error occurs. Backup tools often use and create snapshots for their own purposes in a way that may generate a long chain of snapshots with numerous siblings that can quickly drain CPU, slow performance, and needlessly waste storage.

Performance Analyzer provides dashboards to detect unnecessary and unused snapshots in a very simple way. Most importantly, the dashboards visualize the snapshot and disk growth over time. You need to keep in mind, that snapshots are always growing vmdk files, that can grow up to the size of the parent disk. Its not uncommon to waste several hundred GB or even TB by ignoring VM snapshot disk usage. 

Stay on top of your VMware VM snapshots:

track VMware VM snapshot

Performance Analyzer comes as a virtual appliance and is typically up and running within a couple of minutes. Just configure the read only connection to your vCenter using https and you´re good to go.

The 15 day trial starts after deployment and you can extend the eval within the admin page of the appliance.

Metrics and Logs

(formerly, Opvizor Performance Analyzer)

VMware vSphere & Cloud

Monitor and Analyze Performance and Log files:
Performance monitoring for your systems and applications with log analysis (tamperproof using immudb) and license compliance (RedHat, Oracle, SAP and more) in one virtual appliance!

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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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CodeNotary — Webinar

White Paper — Registration

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