opvizor-performance-analyzer-part-8-performance-in-real-time-for-mongodb

"Tens of thousands of organizations use MongoDB to build high-performance systems at scale, including over 30 of the world’s 100 largest organizations and many of the world’s most successful and innovative web companies. To achieve high performance with any database system requires an understanding of best practices.

Get the guide that will inform you of the best practices and considerations for achieving performance at scale in a MongoDB system."

Find the possibility to download a best practice white paper here.

In a guest post by Asya Kamsky you can find "10 Things You Should Know About Running MongoDB At Scale"

  1. MongoDB requires DevOps, too.
  2. Successful MongoDB users monitor everything and prepare for growth.
  3. The obstacles to scaling performance as your usage grows may not be what you’d expect.
  4. Lots of MongoDB users succeed with a single replica set.
  5. You can get great performance out of MongoDB, even if your entire database doesn’t fit in RAM.
  6. Data written has to be flushed to disk.
  7. Replication != Backups.
  8. Replica set health is more than replication lag.
  9. MongoDB doesn’t know how secure your data needs to be.
  10. There is no need to tinker under the hood.

Find the complete article here.

The New Way

If you’re looking for a very modern way to check and monitor performance, you should give Performance Analyzer a try

Monitor and Analyze MongoDB database configuration and performance metrics. Correlate events and metrics from databases, operating system and/or virtualization layer (VMware vSphere, KVM). Troubleshoot bottlenecks and capacity issues in minutes using our efficient data crawler and preconfigured dashboards. Complete setup in minutes instead of hours or days.

MongoDB

Some of our MongoDB Server integration features are:

  • Visualize real-time and historical performance metrics of your NoSQL Server
  • Set important thresholds for your NoSQL Server based on custom metrics
  • Check Database Open Connections and Commands over time
  • Plan resources based on Database growth and memory usage
  • Full insights into Disk Latency and VM Disk IOps of the underlying operating system

MongoDB

Sign Up for Performance Analyzer today!

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.

White Paper — Registration

We will also send you the research paper
via email.

CodeNotary — Webinar

White Paper — Registration

Please let us know where we can send the whitepaper on CodeNotary Trusted Software Supply Chain. 

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Start Your Trial

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Start Free Trial

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