Month: October 2019

vmware-vsphere-install-centos-8-and-run-minishift

VMware vSphere – install Centos 8 and run minishift Many companies are running OpenShift on top of VMware vSphere to deploy, run and manage their container lifecycle. OpenShift uses the container orchestration platform Kubernetes to do so. Especially when developing applications for OpenShift or if you just want to run a local test environment to …

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securing-your-azure-devops-ecosystem-jenkins-and-kubernetes-aks

Securing your Azure DevOps Ecosystem, Jenkins and Kubernetes (AKS) – Part 2 The first part of the series about securing your Azure DevOps ecosystem covered Jenkins and the integration of CodeNotary into your Jenkins pipeline. That way you an easily notarize everything that gets produced in your very own pipeline. If you want to double …

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vmware-tanzu-projects-octant-kubernetes-runtime-overview

Heptio started a bunch of open source projects designed to help Kubernetes developers and operators to run and maintain their Kubernetes Cluster in the best possible way. VMware acquired Heptio end of last year and released many of the Heption projects under the new VMware Tanzu umbrella.  There are already a couple of projects to …

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securing-your-azure-devops-ecosystem-jenkins-and-kubernetes-aks-using-codenotary-part-1

Jenkins is one of the most popular CI/CD components in the DevOps world. It’s very easy to deploy and configure and there is a great amount of plugins for all kinds of integration. When using the Azure DevOps ecosystem, Jenkins in combination with Kubernetes (AKS) is such a powerful team. We at CodeNotary want to …

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reverse-engineer-docker-files-and-visualize-docker-compose-files

Docker-compose files can become quite complex and in some cases you would like to document not just the docker-compose.yml content, but also visualize how the different docker-compose service communicate. Furthermore, it can be quite interesting to reverse-engineer docker files to get a better understanding, what they are build of. There are different ways to do …

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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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