Virtual Instruments introduced the Cloud Migration Readiness (CMR) service to help enterprises intelligently move to the cloud.
The new CMR service provides enterprises with vital insights into the workload behavior of applications targeted for cloud migration.
Customers face critical questions related to cost and performance before initiating their migrations, and prior to the introduction of the CMR service, they were unable to confidently answer these questions.
With the CMR service, enterprises can:
- De-risk their upcoming cloud migrations
- Validate the suitability of the targeted applications based on their on-premises performance SLAs
- Understand application dependencies
- Preserve performance in the cloud
- Compare and contrast estimated costs of various cloud platforms
By combining workload discovery, dependency mapping and workload profiling, the CMR service simplifies the decision-making process and reduces the time to migrate enterprises’ large number of diverse workloads. The CMR service enables enterprises to simulate and validate cloud workload performance before migrating the workloads and determine if migrated workloads are performing adequately – as well as the steps to take if they aren’t. The CMR service includes the ability to select the optimal CPU, memory, and network and storage configuration for each migrated workload using simulated workloads.
“Enterprises are increasingly enamored by the business benefits offered by the cloud, but many of them don’t make the move due to fears their critical apps will underperform once taken off-premises,” said Torsten Volk, Managing Research Director, Enterprise Management Associates. “The insights delivered by Virtual Instruments’ new CMR service will help enterprises determine whether cloud migration makes sense for their installed applications and which cloud offering is the most cost-effective. As a result, Virtual Instruments is well-positioned to help their enterprise customers reap the benefits of the cloud without exposing their businesses to the inherent risks.”
To successfully reduce cloud migration complexity, right-size cloud configurations, and validate cloud performance, the CMR service defines four distinct phases:
- Discovery – Discover application workload characteristics and identify dependencies between installed compute, networking and storage elements.
- Profiling – Distill hundreds or thousands of workloads into a small set of representative synthetic workloads that accurately characterize performance.
- Playback – Accurately play back representative synthetic workloads in the cloud to select cost-optimal configurations and placements – without compromising workload performance.
- Monitor – Monitor actual workloads post migration to the cloud to identify any unforeseen performance or capacity issues.
“Considering the potential cost and time savings at hand, enterprises are under significant pressure to intelligently move their applications to the cloud – but doing so without adequate planning and analysis can be more costly than staying on-premises. Understanding which workloads can be successfully migrated to the cloud both from a performance and cost perspective is a critical customer need,” said Rick Haggart, SVP of Professional Services at Virtual Instruments. “With the new CMR service, enterprises gain tremendous insight into the performance and behavior of their applications before they migrate to the cloud. By adding this crucial element to their cloud migration strategy, enterprises can cost-effectively embrace the cloud to advance their digital transformation initiatives.”
Virtual Instruments’ Cloud Migration Readiness service is available now.
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...