not-a-search-engine-opvizor-is-the-find-engine-for-vmware-vsphere-2

Not a Search engine, opvizor is the Find engine for VMware vSphere

Why comparing management software with search engines like google?

Isn´t it annoying that all these tools and software products you are using to optimize and stabilize your VMware vSphere environment are build as some kind of query framework. Of course they do an outstanding job in finding the match to your queries or the anomalies that are detected, but what about the resolution? That is still up to you and your google skills.

Of course some of you readers out there live eat and breathe Virtualization and are just fine with a query result as you know what you are looking for – at least most of the time. Well, actually even the most geek can´t think about everything everytime.

That is actually the most important point about Search/query style technologies (Search Engine), you need to feed them, so you need to know at least somewhat what you are looking for. Hmm, better be precise not to rough.

But most of the VMware users don´t have the time, experience or training to know all about the complex configuration and setup possibilities. And what you don´t know you find out the hard way, a downtime, a performance loss or bottleneck or somebody breaks into a security leak.

No one want to get blamed because something has been overseen obviously although all this tools were in place. In reality nobody can really be blamed as its just not fair to expect people to think about everything in advance, search proactively through log files and try and error all kinds of best practices in a test environment before moving into production. IT is moving fast, virtualization is moving fast and IT administrator have more duties, more systems to run and manage than ever. They need a Find engine for VMware!

What means a Find engine?

In comparison to a Search engine, that searches for things you already know the subject of, the Find engine knows all the typical queries and findings a person would ask over the years at a subject. Being more precise, imagine instead of having a software you need to tell: "What virtual machines have old VMware tools and run Windows 2003?" it just shows that up directly including the best answer you can find to solve that. Or i found a dangerous log entry in the VMware Knowledge Base, am I affected? – opvizor directly comes up with the finding, without having you asking the question.

At opvizor, from the beginning we believed in using the community knowledge, the vendor recommendations and knowledge base articles to build a big engine that analyzes your environment against all of this wisdom and coming up with a complete resolutions instead of an information that there are affected systems.

That means you benefit of two things:

  1. All questions are already asked before you even think of them
  2. All questions come with a resolution instead of just a simple list of affected systems

VM Snapshot Size - Find engine for VMware

In any case it is always about seeing is believing. We don’t put any road blocker in your way to check out Health Analyzer and you can start within minutes and for free to get a picture of a Find engine for VMware.

Just register and check the results

CNIL
Metrics and Logs

(formerly, Opvizor Performance Analyzer)

VMware vSphere & Cloud
PERFORMANCE MONITORING, LOG ANALYSIS, LICENSE COMPLIANCE!

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

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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