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![](img/cloudcomplex.png)
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# Do Current Clouds Resolve Your Problems?
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This page describe some of the issues you might encounter if your use clouds to fullfil your requirements for your solution.
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## High CDN Cost = Content Delivery
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- CDN's cost between 20 and 60 on major CDN's from Amazon, Google, ..., after negotiation and willingness to park lots of money and commit per month it mught be certain discount.
- Other specialized CDN's can be around 10 per TB if services from e.g. Europe or US, smaller CDN's are much more expensive.
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- Managing these CDN's is expensive and not an easy job.
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>> This means to service 10m people, it would cost about 1 to 2m USD per month just for CDN alone.
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## High Cost of Operations
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There are high cost of operations attributed to this type of technology.
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- Cloud servers
- Managing those servers
- What if mistakes are made
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## Ability to Shut Down Servers
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There is always the possibility to be shut down on the public cloud
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It's highly probable that within months there would be attempts to shut down the CDN's or often it happens more softly (give bad service and make your product look bad).
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## Can't Scale Apps
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Apps are typically not ready to scale.
- There are optimizations which can be done e.g. better indexing, better queries, more optimization strategies e.g. using redis
- More knowledge is required to optimize the app
## Ability to Shutdown the Mobile Apps
- Google/Apple might chose to shutdown apps
- Not easy to know how fast this will go, it might just be overnight
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## GDPR
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The GDPR constraints are to be taken into account. They are very annoying constraints in e.g. Europe, need to be careful to comply.
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## Legal Potential Trouble
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- It's important to have good *Terms & Conditions* (T& C) and think which legal entity will be the counterpart of the T& C
- There will be legal requirements, e.g. shutdown and/or recognize bad content
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## Redundancy and Uptime
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There are a factor of parameters that need to be taken into account to provide a reliable service.
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- Is the site redundant, can data be lost?
- What happens if a datacenter goes down?
- Or what happens if a DB server crashes?
- What happens if e.g. DB gets corrupted?
- How to make sure people always deserve the service they need
- If it kind of works now, will it work if 10x more people?
- Is everything monitored?
- If an issue is detected are there people available 24h/day 7/7 to fix
- Do the people who will fix have the right knowledge, where is that knowledge stored
- Is the monitoring system itself monitored, very often monitoring by itself will stop working
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## Performance
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Performance affect user experience directly and must be dealt with care.
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- How to see performance is not good enough for customers
- How to make sure we can easily fix it, can be region specific
- How to relocate services?
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## Protect Against Human Error
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The system in place must be able to protect against human error. This has to be considered.
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- Mistakes are and will be made this might have huge impact on uptime and if not careful loose data
- Truck factor: what happens if someone goes away? Can org easily take over and continue
- Level of automation & documentation?
- How is version control done