software-defined-management-dashboards-the-opvizor-solution

Greg Schulz wrote an interesting article about IT data center and data infrastructure dashboard options also taking a look at Opvizor

Here is the link to Greg’s article, please scroll down for more information and some dashboards for a quick overview about our solution.

Thanks Greg for your article and also mentioning Opvizor Performance Analyzer – to monitor all important KPIs of your environment, start your 30 day trial today!

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Why thinking about Software Defined Management Dashboards?

This was Greg’s consideration:

Without insight and awareness you are flying blind, how can you make informed decisions about your information factory, data infrastructures, data center along with applications. There are different focus areas for various audiences up and down the stack layers in data infrastructures and data centers. Key is having insight and awareness including knowing what are some different tool options.

Dashboard Discussions

Keep in mind however that there are many different types of dashboards (and consoles), some are active along with analytics including correlation, others are passive simply displaying. The focus area also various from physical data center facilities, to applications, to data infrastructures or components such as servers, storage, I/O networks, clouds, virtual, containers among others modern data centers.

This is where some context comes into play as there are different types of dashboards for various audience, technology and focus areas (e.g. domains) across data infrastructure (and other entities). For example do a google search of “dashboard” and see what appears, or “IT dashboard”, “data center dashboard” vs. “data center dashboard” among others.

Dashboards

Photo courtesy of Greg Schulz

Data Infrastructures (hardware, software, services, servers, storage, I/O and networks)

VM Highlights Dashboard

Some more interesting links regarding this topic:

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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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