5-native-cloud-initiatives-that-prove-vmware-is-the-dominant-force-in-virtualization-and-container-technology

Cloud-native computing is making a powerful impact on the world of IT development, and VMware is one of the main reasons why. A new group devoted to cloud-native computing was just announced in December of last year. VMware has also made some significant cloud-native investments that prove they are the dominant force in virtualization and container technology. Here are five to illustrate this point.

AppCatalyst

VMware is the dominant

Enterprises are typically slow to adopt new technologies, but they have been surprisingly swift to take on containers. Will VMware hold fast as containers take over? Time will tell.

AppCatalyst is a desktop hypervisor tailor-made for developers who need a lightweight hypervisor in order to test microservices and containerized applications. AppCatalyst is free and does not include GUI and rich management tools for virtualization. Instead, it features a basic interface with command line and REST API for managing the virtual machine lifecycle. right now, AppCatalyst is only offered for Mac OS X.

Photon

Photon is billed as a lightweight yet powerful operating system designed for use with vSphere. It does the grunt work of moving from the operating system to the containers within just seconds. However, Photon is not limited to use with vSphere; it also runs on Google Compute Engine and vCloud Air. Nicknamed Photon OS, it is ideal for developing green-field applications based on microservices. It’s free, open source, and is available for download via GitHub.

Photon Controller

Photon Controller is an orchestration engine, which is also open source. Essential for cloud-native development, Photon Controller manages both the vSphere host environment and the containers that are deployed via Photon OS. It is a full-featured orchestration engine, but you can still set it up to be used with Docker Swarm, Mesos, and Kubernetes.

Lightwave

VMware Lightwave - VMware Photon

With names like "photon" and "lightwave" it’s sometimes hard to tell if VMware is going for new development technologies or a sci-fi movie. But as long as the technologies bring useful stuff to the table, businesses and developers will gladly adopt.

Lightwave is an identity manager for use with microservices. Also open source, Lightwave provides a unified layer to manage security, governance, and compliance issues. Designed to work with Photon OS, Lightwave delivers single sign-on, authentication, authorization, and certificate authority. It also delivers certificate key management services for the application stack and infrastructure.

vSphere Integrated Containers

Last, but not least, VMware has enabled portability of traditional applications into a containerized environment with vSphere Integrated Containers. This technology houses containers in optimized virtual machines that can be run side-by-side using microservices. This technology is ideally suited for use with Docker, and gives developers the ability to mix and match containerized workloads and virtualized workloads.

Normally, it takes large enterprises a long time to recognize, evaluate, and implement new technologies, but containerization is taking off rather quickly in this cautious environment. Most workloads are already running virtual machines and developers are hard at work on cloud-native applications for new development projects. With these investments, VMware continues its reign, even in the age of containers.

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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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