IONOS Enterprise Cloud – Data Center Designer – Introduction

With the Enterprise Cloud, you receive a modern IaaS platform for cloud computing—highly available, secure, reliable, and with fast software defined networking. This means you receive precisely the virtual IT infrastructure that your company actually needs. The drag and drop feature in our Data Centre Designer allows you to put together the resources for your customised virtual data centre, without any rigid, prefab packages.

Our live vertical scaling gives you the option of flexibly adding new capacities and components to your virtual infrastructure – at any time, on short notice, and without rebooting the system! This is what makes the Enterprise Cloud by 1&1 IONOS one of the most attractive corporate cloud solutions available anywhere on the market.

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Avoiding Cloud Vendor Lock-in

Always ask before entering into any contract, “How do I get my data out in the future if I need or want to?”

Cloud vendor lock-in is typically a situation which a customer using a product or service cannot easily transition to a competitor. Lock-ins are usually the result of proprietary technologies that are incompatible with those of its competitors and it can also be caused by inefficient processes or constraints among other things.  I’ve seen many customers come up against this in the past with traditional data centers where their storage vendor or hyper-visor solutions locked those customers into fixed solutions which inhibit the customer to be agile in moving to new technologies. The cloud albeit public or private can be no different when it comes to using lock-in techniques for retaining its user base.

Fear of Lock-in

Cloud lock-in is often cited as the major obstacle to cloud service adoption. there are a number of reasons why a company may look to migrate to the cloud, most often its all about reducing the physical infrastructure that they have in their data centers, cloud gives them the agility their look for, additionally reducing not only the CAPEX but also the OPEX required for the ongoing maintenance of the systems.

There’s also the question of how they should migrate to the cloud , the complexities of the migration process may mean that the customer stays with their provider which could also mean there’s a compromise in that their current provider doesn’t meet all their needs and limits the agility of their IT and value it provides to the business. 

In some cases during the migration to another provider it may be required to move the data and services back to the original on-premises location which in itself may be an issue as the original architecture may no longer be available or the data center is now reduced in resource availability and prohibits such an action. Further more the data may of been changed to allow its operation on a particular cloud vendors platform and would need to be altered again to run on an alternative cloud platform. 

Cloud vendor lock-in

Its only natural that cloud vendors want to lock you in after all they’re there to make money and need you to stay with them, they work at ways to keep you using their services and try to ensure that migrations are not an easy task. their customers often don’t know the impact until they try to migrate and can be devastating when it happens. Due to these challenges migration services from third party vendors are becoming a common occurrence and turning into lucrative business.

Taking the leap

Most companies I’ve talked to recently have similar experiences when looking to migrate from their current cloud vendors, the majority were unhappy with the perceived costs of using cloud infrastructure after all cloud was suppose to be cheap but the ROI was taking longer than first anticipated. The cloud vendors support services were a close second due to the lack of any personal experience offered from their vendor, i guess there’s only a number of times that “Take a look at this FAQ” is going to help.

One of the other major problem with cloud vendors is that you typically need to over allocate already inflated resources to the services you are providing as cloud resources are most of the time shared with other users of their services. its a bit like a house share, the last thing you need is someone hogging the bathroom.

PaaS services were also another reason, whilst PaaS is great in reducing the OPEX of the underlying infrastructure and application or database services it does start to get expensive with large number of API gateway calls which if unplanned for can be a bit of a surprise when you get your invoice, add to that one clouds PaaS may not be inter-operable with another so some type of data cleaning is going to be needed.

GDPR (there I’ve said it) was another reason which raised its head especially if the vendor was US based then the C.L.O.U.D. Act comes into effect.

https://docs.house.gov/billsthisweek/20180319/BILLS-115SAHR1625-RCP115-66.pdf#page=2201

If your using a US based provider then your data is no longer private as is can be handed over to the US government if they deem any suspect need to, oh and hosting in a different region outside of the US doesn’t help either so using a Irish region will not allow you to escape the act. The last time I check the big 3 public clouds are all US owned but if you believe that this may not effect you then you don’t need to look too far to see it in action, I’m sure we all remember Cambridge Analytica and the Facebook debacle that company had to hand over its data and now no longer exists! Taking up a hybrid cloud approach and using a dedicated European provider with multiple region support will help avoid this.   

One company that I spoke to had a concerning case in that their cloud vendor had no export facility for the data and had challenges on how to cleanly extract the data, this challenge was compounded even more as the tax man also called in an audit on their accounts during the migration phase and had to take a hit on a penalty as the accounts were not available at the time of the audit. The whole process was painful and time consuming and they surely learnt a lot from the experience.

And the moral of the story is …..

Ask the important questions, “How is the data securely stored?”, “Who has access to my data”, “How is my data protected?”, “Do I need to modify my data so the cloud vendor can store it?” and most importantly “How do I get my data out in the future if I need and want to?” In most cases getting your data out is going to cost you but knowing that’s its possible is half the battle. if your new provider has tools to make it easier for you then that’s even better.

And lastly

Be aware of the existence of the CLOUD Act and its potential implications for your business.
Adopt a hybrid cloud strategy, which clearly defines which data can be stored in public cloud services, and what should be stored in data centers operated by European managed service operators.
If you have large amounts of customer data, and would like to alert them if you do get a request to hand over personal data under the CLOUD Act, you might want to consider adding a warrant canary clause on your website.

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Comparing Public Cloud Performance – Part Three – GCP

In the first series on this post I looked at Azure VMs and provided a comparison with IONOS Enterprise Cloud, in the second part we looked at AWS, this final post of the series will look at comparing Google Cloud Platform (GCP).

As a bit of background in case you haven’t read the first or second parts yet, I’ve been working with the major cloud vendors for some years now and for me performance has always been a key factor when choosing the right platform, I’ve always struggled in finding the right balance of cost vs performance when choosing the right platforms and have created this blog to highlight some of the differences.

I’ve just started a new role as Cloud Architect for 1&1 IONOS Enterprise cloud and one of the main factors in coming here was the technology and some of the claims that it makes especially with performance and simplicity. This blog will highlight those performance claims and also the cost benefit that choosing the right cloud provider will be for you.

For these tests I’ve kept it simple, I’m using small instances that will host microservices so cost is one variable but performance is another, I will be creating an instance with 1 vCPU and 2Gb RAM, this system will be a base line for testing and I will use Novabench (novabench.co.uk) for some basic CPU and RAM performance modelling. There are so many tools out there but I find this one real quick and simple to test against some key attributes I will also be using the same tool for the instances so not unbiased results too.

So on with the comparison and next up is GCP for this I’ve selected a custom VM size as this is as near as consistent with other instances on the clouds I have been testing, The CPU used is an Intel Xeon 2.3Ghz and the price for this including windows server licensing and support costs comes out at £50.64 per month


GCP Pricing calculator for Custom VM

For IONOS Enterprise Cloud I’ve also selected a similar spec as GCP which is a 1 CPU and 2Gb RAM and have used the Intel Haswell E5-2660v3 based chip for the OS as this will be as close to the custom VM in GCP, Like GCP I’ve also included the Windows Server license cost in the subscription along with 24/7 support which is actually free. The monthly cost for this server is £59.18 so comparing costs of using IONOS Enterprise Cloud there is a slight benefit of using GCP as you would save £102.48 over the year, so looks like GCP has a cost edge over IONOS, so what about the performance.


IONOS Enterprise Cloud Pricing for GCP 1 CPU 2Gb RAM equivalent

First I wanted to see how the external and internal internet connectivity was performing, to no big surprise IONOS way out performed Azure by a factor of 2, which is to be expected given the infrastructure back end design running on InfiniBand and the datacentre interconnects. The download speed was comparable for Google which you would expect from the internet giant.

GCP Speedtest performance rating

IONOS Enterprise Cloud Speedtest performance rating

Next the focus turned to CPU, RAM and disk performance for this I ran the Novabench performance utility and performed tests on both servers, the tests did throw up some major differences between the two. Let’s take a look at GCP first

GCP custom 1 vCPU & 2GB Ram VM Novabench Results

The GCP results were interesting to a point that twice as much resources are to be required to get to the same level of the IONOS instance.The GCP instance had a more or less half that of a score for its CPU, RAM and Disk benchmark compared to IONOS but it must be noted that the GCP resources are shared resources instances being hosted on GCP, the RAM score was also at a much lower throughput with a difference of 11964 MB/s, but what was noticeable was that the disk read and write performance was half that of IONOS. the write speed was not what would be expected from SSD storage.

The IONOS Enterprise cloud exhibited near twice the values from the results to GCP.

IONOS Instance Novabench result

Conclusion

Due to the dedicated resources that are used by IONOS Enterprise Cloud it becomes apparent that other Public Cloud vendors have to double (GCP & AWS) or even quadruple (Azure) their resource configurations to be comparable in performance to IONOS. Comparing GCP to IONOS to catch up to a similar performance of that of IONOS Enterprise Cloud the GCP instance would need to be reconfigured to a custom VM with 2 vCPUs and 4Gb RAM size this is 2 times the resources of the IONOS Instance which would increase the monthly cost to £94.57 which would equate to £1134.84 for the year of which you would have to pay an extra £423.96 per year for an equal performance instance of that of the IONOS instance.

GCP custom 2 vCPU& 4GB Ram VM Novabench Results

Can you really justify that type of expense of spending an additional £400 per year for just one system for the same performance? IONOS Enterprise Cloud provides dedicated CPU and Memory and is surely the way to go.

Don’t just take my word for it, give it a go yourself, I’m sure you’ll be impressed with the results.

Get your free 30 day no obligation trial at https://www.ionos.co.uk/pro/enterprise-cloud/

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Comparing Public Cloud Performance – Part One – Microsoft Azure

I’ve been working with the major cloud vendors for some years now and for me performance has always been a key factor when choosing the right platform for Infrastructure-as-a-Service, I’ve always struggled in finding the right balance of cost vs configuration when choosing the right platforms and have created this 3 part blog to highlight some of the differences I’ve seen between Azure, AWS and Google Cloud.
I’ve just started a new role as Cloud Architect for 1&1 IONOS, working in the Enterprise Cloud division, and one of the main factors in coming here was the technology stack and the surrounding network settings and some of the claims that it makes especially with performance and simplicity. This blog will highlight those performance claims and also the cost-benefit that choosing the right cloud provider will be for you.
For the tests I’ve kept it simple, I will be using small instances that will host eventually host microservices with Docker so cost will be one variable but performance is another, I will be creating an instance with 1 vCPU and 2Gb RAM, this system will be a baseline for testing, I will use Novabench (novabench.com) for some basic CPU and RAM performance modelling. There are so many tools out there but I find this one real quick and simple to test against some key attributes, I will also use the same tool for all the cloud vendors instances so this should show unbiased results too.
Let’s start by looking at Azure and for this I’ve selected the A1_v2 size as this consistent with other instances on the clouds I will be testing, The CPU used is an Intel Haswell E5-2673 v3 and the price for this including windows server licensing and support costs comes out at £62.20 per month

2018-11-20_13-59-06Azure Pricing calculator for A1_v2

For IONOS Enterprise Cloud I’ve also selected a similar spec and have used the Intel Haswell E5-2660 v3 based chip for the OS as this will be very close to the A1_v2 instance in Azure, Like Azure I’ve also included the Windows Server license cost in the subscription along with 24/7 support which is actually free. The monthly cost for this server is £50.96 so comparing costs of using IONOS Enterprise Cloud there would be a saving of £134.88 over the year, a saving is a saving, so on paper the costs look good so far.

2018-11-20_14-00-37IONOS Enterprise Cloud Pricing for A1_v2 equivalent

Now, what about performance tests between the two?  First I wanted to see how the external and internal internet connectivity was performing, so no big surprise, IONOS way outperformed Azure by a factor of 3, which is to be expected given the infrastructure back end design running on InfiniBand and the datacentre interconnects.

2018-11-22_10-07-47Azure Speedtest performance rating

2018-11-22_10-40-14IONOS Enterprise Cloud Speedtest performance rating

Next, the focus turned to CPU, RAM and disk performance for this I ran the Novabench performance utility and performed tests on both servers, the tests did throw up some major differences between the two. Let’s take a look at Azure first

2018-11-22_10-40-59Azure A1_v2 Instance Novabench Results

The Azure instance had a low score for its CPU benchmark which makes sense as the CPU is a shared resource with other instances being hosted on that Hyper-V cluster node within the Azure cloud, the RAM score was also low with a throughput of 3929 MB/s, but what was noticeable was that the disk read performance was good with a throughput of 163 MB/s but write speeds were a complete polar opposite.
The IONOS Enterprise cloud eclipsed the metrics of the Azure instance and really showed off the advantage of having dedicated CPU and memory resources for the instance

2018-11-20_12-37-19IONOS Instance Novabench result

The CPU performance was 385% that of the CPU in Azure and for Azure to achieve a similar score an additional 3 CPUs would have to be added to maintain the same CPU score. The RAM speed also was way beyond that of Azure and achieved 19318 MB/s a factor of 3 times faster, the disk read & write performance both outperformed Azure, it did maintain an equal throughput for both write and read speeds with writes outperforming by 18 times that of Azure. Just a note here that I used a standard HDD as the storage medium and could have used an SSD instead which would have increased the performance even more.
Finally, I configured another instance in IONOS Enterprise Cloud using an AMD Opteron 62xx 2.8Ghz processor to see it that could match the Intel-based Azure instance and for much of the benchmark scores it was comparable to the Azure instance, even better the cost of the instance was £31.52 a month giving a saving £368.16 over the year. It should be mentioned that IONOS Enterprise Clouds let you configure cores and storage at will in the most granular way possible: core by core and Gigabyte by Gigabyte.

2018-11-20_15-55-43IONOS AMD Instance Novabench result

Conclusion
For Azure to catch up to similar performance of that of IONOS Enterprise Cloud the Azure instance would need to be reconfigured to a A4_v2 size this is 4 times the resources of the IONOS Instance which would increase the monthly cost to £182.44 which would equate to £2210.64 for the year of which £1599.12 would be for the cost of an equal performance instance of that of the IONOS instance.

2018-11-22_10-12-03Azure A4_v2 Instance Novabench Results

Can you really justify that type of expense of spending an additional £1600 per year for the same performance? IONOS Enterprise Cloud employs KVM based virtualisation making extensive use of hardware virtualisation and maps the CPU power of a real core to a vCPU and provides dedicated memory so it is surely the way to go.
Get your free 30 day no obligation trial at https://www.ionos.co.uk/pro/enterprise-cloud/

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