new-vmware-vsan-monitoring-and-performance-troubleshooting-extension

VMware vSAN is gaining more and more customer traction because of its great VMware management integration and simplicity. Nevertheless, like any storage system is it highly important to monitor the most common data distribution and performance metrics of vSAN, to get the full picture and troubleshoot potential issues. The correlation of events and metrics of VMs running on vSAN and the ESXi hosts connectivity is key and extremely simple using our preconfigured dashboards.

Our new VMware vSAN extension has been rewritten from scratch to perform better, autodetect a vSAN through the VMware vCenter connection and support the latest metrics available with vSAN 6.7.

VMware vSAN Navigation

Some of our vSAN integration features are:

  • Monitor the most important metrics better than using vSAN Observer
  • Check vSAN data distribution and balance across all vSAN hosts
  • Find Disk I/O bottlenecks
  • Report Used Capacity over time and plan future capacity
  • Full insights into Datastore Latency and VM Disk IOps
  • Get a complete usage and performance overview across multiple vSAN systems
  • Correlate vSAN and vSphere Host/VM metrics
  • Support for multiple vCenter, vSAN, Cluster using one single appliance

VMware vSAN monitor

Our VMware vSAN Monitor dashboards helps to get all kind of metrics in a nice and simple overview. The data collection stores historic data up to several years depending on your configuration and runs independent from VMware vCenter once the data is collected.

Data shown / per vSAN Layer:

  • current capacity usage by object types (checksum, filesystem, namespace, vdisk, vmswap, …)
  • current capacity usage by usage type (overhead, physical, primary capacity, reservedcapacity and more)
  • Latency 
  • IOPs 
  • Bandwidth 
  • Congestion
  • Outstanding I/O
  • Read Cache Hit rate
  • ESXi vSAN host disk usage
  • ESXi vSAN host cpu usage
  • vSAN Worldlets CPU usage
  • vSAN Worldlets CPU ready %
  • vSAN Daemon memory usage

VMware vSAN capacity

VMware vSAN Capacity and Balance dashboard shows the data distribution between the different ESXi hosts that are part of the vSAN.

Data shown per ESXi host:

  • Disk usage
  • maximum disk usage
  • # of active components
  • # of I/O components
  • # of Domain owners
  • # of Domain clients
  • # of Domain colocation

VMware vSAN virtual machine view

The VMware vSAN VM View dashboard focus the virtual machine and its read latency, write latency, read and write IOps as well as the bandwidth and IO congestion. You can select the vSAN node or the virtual machine to get all details needed to troubleshoot single systems.

There are much more dashboards and metrics that we collect to present the capacity and performance metrics in our highly efficient and task-focused way.

If you run VMware vSAN, you must test our integration out and see yourself. You can start a free, unlimited trial for 15 days without registration (or 30 days with registration), so there is really no excuse to stay in the dark when it comes to detailed VMware vSphere and VMware vSAN performance.

Based on that new extension for vSAN, you can expect more comprehensive dashboards in the near future, so stay tuned!

You can find the Patch 4.9.2 that includes the new vSAN settings here: Patch 4.9.2

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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