Here are many white papers available from Amazon, the latest are e.g.

  • AWS Cloud Transformation Maturity Model
  • Jenkins on AWS
  • AWS Database Migration Service Best Practices

and also white papers from Amazon partners, e.g.

  • Oracle Database 12c on the AWS Cloud
  • Bitbucket Data Center on the AWS Cloud
  • JIRA Software Data Center on the AWS Cloud
  • Linux Bastion Hosts on the AWS Cloud: Quick Start Reference Deployment
  • NGINX Plus on the AWS Cloud: Quick Start Reference Deployment

Amazon Web Services – Architecting for the Cloud: AWS Best Practices


This whitepaper is intended for solutions architects and developers who are building solutions that will be deployed on Amazon Web Services (AWS). It provides architectural patterns and advice on how to design systems that are secure, reliable, high performing, and cost efficient. It includes a discussion on how to take advantage of attributes that are specific to the dynamic nature of cloud computing (elasticity, infrastructure automation, etc.). In addition, this whitepaper also covers general patterns, explaining how these are evolving and how they are applied in the context of cloud computing.

Amazon Web Services Performance Tuning

  1. EC2 Instances
  2. Operating System
  3. Data Loss
  4. Benchmarking
  5. Simulating Upgrades, Scaling, and Failure states
  6. Out-of-Memory
  7. Dealing with IP addresses
  8. Choice of Storage
  9. References

This guide introduces best practices for tuning Riak cluster performance in the Amazon Web Services (AWS) Elastic Compute Cloud (EC2) environment.

Best Practices for Amazon RDS

This section summarizes best practices for working with Amazon RDS. As new best practices are identified, we will keep this section up to date.


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 your Amazon Web Services infrastructure separately or combined with your multi-cloud environment. Troubleshoot bottlenecks and capacity issues in minutes using AWS Cloudwatch and preconfigured dashboards. Easy integration and a great combination to our vSphere plugin to predict future needs or support future directions.

Watch current and estimated charges of your Amazon Web Services (AWS) environment per type of service.

Amazon Web Services

Some of our AWS integration features are:

  • Gather all information and metrics available in AWS Cloudwatch
  • Billing and Cost Estimates
  • Set important thresholds for your EC2, RDS or SQS services on custom metrics
  • Use RDS Database I/O and Size trends to plan capacity and performance ahead
  • Combine with Guest OS or Guest App data
  • Combine with other private cloud Hypervisor to create a multi-cloud sourced Visualization
  • Share results and real-time dashboard with your team

Amazon Web Services

Check your AWS EC2 performance

  • Visualize real-time and historical performance metrics of your EC2 Instances
  • Find Disk I/O bottlenecks
  • Report Used Capacity over time and plan future capacity
  • Full insights into Datastore Latency and VM Disk IOps
  • See Memory Constraints and Network Issues instantly
  • Get a complete usage overview across multiple environments
  • Set important thresholds based on custom metrics

Amazon Web Services

Check your AWS RDS Database performance

  • Visualize real-time and historical performance metrics of your RDS Server
  • Set important thresholds for your Cloud Database based on custom metrics
  • Use Database I/O and Size trends to plan capacity and performance ahead
  • Full insights into Disk Latency and Disk IOps of the underlying operating system

Support for SQS, RDS, EC2, Cloudfront, Cloudwatch, EBS and much more

Combine all with Guest OS information, other Hypervisor (VMware vSphere, Microsoft Hyper-V)  or Container (Docker) and applications (SQL Server, Web Server)

Sign up for Performance Analyzer today and start 30 days for free.

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.

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 Free Trial

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