vmware backup to cloud

The Economics of VMware Backup to the Cloud

What if you were able to protect 100 TB of on-premises VMware VMs and achieve low RTO, low RPO and data retention for just 3.5 cents per protected GB-month in the cloud? 3.5 cents per protected GB-month means $3.5K per month, $130K in 3 years.

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What to Consider when Evaluating a Backup and DR Solution in the Cloud

Remember the dreadful feelings of high anxiety and inertia when you had to move to a new house?  It’s no doubt painful and something you would only want to do a few times in your life. However, it also gives most people an opportunity to clean up the garage, donate or throw unwanted stuff away and start fresh in the new house.

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backup software

5 Killer Features Your Next Backup Software Should Have

Data protection is more important than ever.  Yet it is still a complex and confusing process for many customers.  Compounding the problem is the fact that there are hundreds of different tools that promise to solve all protection woes and each bring a tradeoff in cost, performance, availability and reliability.  It can be challenging to select the right solution, and in this blog, I will talk about 5 killer features that your next backup software should have.  While not every product will offer every feature, the post will give you important elements to consider when selecting your next protection solution.

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backup strategy

Backup Strategy – Then and Now

Jay Livens, Senior Director of Product Marketing, explains traditional backup strategy and reviews current ways to use copy data.

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data protection solution

5 Must Have Features for Your Data Protection Solution

I recently booked a flight to Toronto’s City Center Airport (YTZ) on Porter Airlines.  YTZ was very close to my customer meetings so I did not give it much more thought.  However, a day prior to my departure, I researched Porter and realized that they only flew Bombardier Q400 turboprops!  Not everyone may recall flying in old turboprops like the Twin Otter or Short 360, but I remember them vividly...in my nightmares.  They were about as quiet as a jackhammer, and their rides were not much smoother. It always felt like they were on the verge of crashing.

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backup software

Four Ways that Backup Software is Not Cutting It

Data is more critical today than ever before.  Recent statistics suggest that 90% of the data in the world has been created in the last two years, and as we look forward, new technologies like Internet of Things will accelerate data growth.  As our dependency on data increases, our need for continuous data access and consistent data protection becomes more critical than ever.

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2016 is radically different from 2008

Nope. It’s not about the changing US presidency. This is about a change of guard happening in the technology space. Hybrid Cloud is for real now. Real to the point that VMware is working closely with AWS for a seamless hybrid cloud experience.

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How to recover 88 VMs From a Starbucks Cafe

Your data center is in the east coast. It’s October. You know those hurricanes are churning up somewhere in the Atlantic. It’s not a question of “if” but a question of “what category” hurricane will strike.

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Is Your “Instant Recovery” Scalable?

Imagine this – You have a production environment with 100+ VMs, and you have a problem in a subset of your environment, and you now need to recover 30 VMs. Chances are high that your “instant recovery” (using a non Actifio solution) will not scale, and the end to end process will be very stressful. Here is how …

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Copy Data Management = Polymorphism

I’d like to share a fascinating insight from a customer. Our sales team asked me to join them for a face-to-face discussion with the company’s VP of development and his team. After the introductions, he explained the key problem. His Dev & QA teams were struggling to execute their unit testing, build integration testing, and QA testing fast enough, in spite of automation. They identified that too many critical issues were being found late, in UAT, which delayed their release cycles and led to a lot of heartburn inside the company. When they looked into the cause of the quality issues, they found that for 80% of the release cycle they were testing against low-fidelity synthetically generated test data, instead of data from production. The code testing against such dummy data did not expose the code defects earlier in the test cycles.

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