We’re more than happy to announce a new database integration in Performance Analyzer: PostgreSQL

As we already have support for Microsoft SQL server and Oracle for quite some time, we noticed a great interest from our customer base to add PostgreSQL as well.


When running Performance Analyzer 6, you need to make sure to install the 6.2.5 patch and the PostgreSQL license to have the options available to add the database servers.

Please have your PostgreSQL server network dns or ip address ready and a database user that can access the database metrics.

Adding the database server including all databases to the data (metrics) collector is as simple as always using Performance Analyzer, just click add.

PostgreSQL integration

Next thing you can see is a new dashboard and the data flowing into:

PostgreSQL dashboard

The header section allows you to select between the database servers and databases.

We don’t just collect the server settings, all kinds of metrics and counters, we also show sessions, the queries and their runtime.

Postgre Sessions

Collector information:

  • starting time
  • cpu usage
  • memory usage


  • Shared Buffers
  • Effective Cache
  • Maintenance Work Mem
  • Work Mem
  • Max WAL Size
  • Random Page Cost
  • Sequential Page Cost
  • Max Worker Processes
  • Max Parallel Workers

General Counters:

  • Version
  • Max Connections
  • fetched tuples
  • inserted tuples
  • update tuples
  • deleted tuples 

PostgreSQL database stats

Database Stats:

  • Used connections
  • Transactions /sec
  • Cache Hit Rate
  • Tuple Insert /sec
  • Tuples Fetch /sec
  • Tuples Returned /sec
  • Tuples Delete /sec
  • Temp File (Bytes)
  • Buffers (bgwriter)
  • Lock Tables
  • Conflicts
  • Deadlocks
  • Idle sessions
  • Active sessions
  • Checkpoint stats

Please contact us if you want to integrate your PostgreSQL database server as well. Its a great addition to our already existing VMware vSphere support, Linux, Docker, Kubernetes aso.

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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