4-virtualization-and-vmware-monitoring-trends-to-stay-on-top-in-2016

Before you get too wrapped up in unwrapping gifts and wrapping up year-end reports, it’s time to take a peek into next year. What does 2016 have in store? What will the biggest trends in virtualization and VMware be? Here’s a preview of what’s to come. 

1. Virtual Desktops Finally Take Off 

VMware Trends - Virtual Desktop

Microsoft still leads the way in virtual desktop experiences, but will quickly be followed up with a Linux option. Look for virtual desktops to dominate in 2016.

Microsoft made huge strides in promoting the concept of virtual desktops with their (more or less) successful roll out of Windows 10. Linux isn’t far behind. dinCloud, which is one of the leaders in offering virtual desktops as a service, is already offering Linux virtual desktops in beta version. Expect that virtualization will be a real trend in 2016. 

2. Containers Become a Driving Force for Providing SaaS Services 

The SaaS model is taking off, and containers have proven to offer an easier and more reliable way to package and deliver applications to different IT environments. Containers make onsite hosting simple and offer a cheaper way of delivering SaaS services. In an age where vendors are competing viciously for customers, the cost savings offered by containers will make it possible to drive down prices and attract more customers. 

3. Security Migrates from the Network Perimeter to the Endpoints 

As it turns out, 2015 was no better in terms of data breaches than 2014. This has forced most IT and cyber security experts to rethink how modern security is being done. Expect 2016 to witness a migration from perimeter security (which is quite obviously, not working) towards endpoint security. Security monitoring and software will focus on the devices and end users accessing the network instead of the network itself. Look for new products and services to spring up offering this new type of security. Also, expect security systems to be multi-layered. No single layer of protection is sufficient in this era. 

4. A New Era of Backups 

Cloud Backups

Backup and disaster recovery products will no longer be structured so that businesses have to lose 24 hours to restore. The products of tomorrow will allow them to restore systems to any point in time before an event occurred to corrupt or destroy the data.

To date, backup products have been designed to restore systems back to the last point in time at which they were backed up. This isn’t working anymore. With modern threats like ransomware, businesses just cannot afford to lose a day’s worth of data by restoring to yesterday’s backups. Look for more cloud backup vendors to offer Continuous Data Protection (or CDP). This method of backing up and restoring systems allows the systems administrator (or other IT professional) to restore the systems to the exact point in time when an intrusion or other data corruption occurred.Did you expect to see better VMware monitoring in the 2016 forecast? You didn’t, because that’s already here! For easier, more reliable monitoring to free you up for other, more important tasks in 2016, sign up for Health Analyzer today.

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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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