AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.
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Hyper-V makes a lot of sense in scenarios that will support several Windows Server-based OS virtual machines. The only limitation of those licensed VMs is the hardware that hosts the Hyper-V role. If you need to deploy many servers running Windows Server OS, it is worth the price. Hyper-V also does a great job of managing the server host's computational resources, including memory, CPU, network, and storage.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Easy to use GUI - very easy for someone with sufficient Windows experience - not necessarily a system administrator.
Provisioning VMs with different OSes - we mostly rely on different flavors of Windows Server, but having a few *nix distributions was not that difficult.
Managing virtual networks - we usually have 1 or 2 VLANs for our business purposes, but we are happy with the outcomes.
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Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
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We manage Hyper-V using both System Center Virtual Machine Manager (SCVMM) and the in-build Hyper-V administration tool, the former being the main product we use as the built-in tool is very light on functionality, unlike VMware ESXi.
Management of storage is not great and quite a shift away from how VMware does it with ESXi; there is no separate panel/blade/window for LUNs/data stores, which means there is a lot of back and forth when trying to manage storage.
A dedicated client with all functionality in one place would be awesome.
Having the equivalent of ESXi's virtual console is something which is absolutely needed.
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Cheap and easy is the name of the game. It has great support, it doesn't require additional licenses, it works the same if it is a cluster or stand-alone, and all the servers can be centrally managed from a system center virtual machine manager server, even when located at remote sites.
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I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
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It is quite intuitive. Junior techs are able to provision and administrate Hyper-V virtual server infrastructure with little to no additional training. Documentation from Microsoft is easily avaliable and decently well written. Hyper-V is reliable and does what it is supposed to. Can be admin from an intuitive gui, or aoutmated with extensive powershell.
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In the past 2 years our Hyper-V servers have only had a handful of instances where the VM's on them were unreachable and the physical Hyper-V server had to be restarted. One time this was due to a RAM issue with the physical box and was resolved when we stopped using dynamic memory in Hyper-V. The other times were after updates were installed and the physical box was not restarted after the updates were installed.
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Hyper-V itself works quickly and rarely gave performance issues but this can be more attributed to the physical server specifications that the actual Hyper-V software in my opinion as Hyper-V technically just utilizes config files such as xml, and a data drive file (VHD, VHDX, etc) to perform its' duties.
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Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.
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I gave it a middle of the road rating - as far as getting direct help from Microsoft this never seems to happen. (Good luck getting ahold of them.) Getting help from online support forums is pretty much where I get all my help from. Hyper-V is used quite widely and anything you could need help with is out there and easily searched for on your favorite search engine.
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We had in person training from a third party and while it was very in depth it was at a beginner's level and by the time we received the training we had advanced past this level so it was monotonous and redundant at that point. It was good training though and would have provided a solid foundation for learning the rest of Hyper-V had I had it from the beginning.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The training was easy to read and find. There were good examples in the training and it is plentiful if you use third party resources also. It is not perfect as sometimes you may have a specific question and have to spend time learning or in the rare case you get an error you might have to research that error code which could have multiple causes.
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initial configuration of hyper-v is intuitive to anyone familiar with windows and roles for basic items like single server deployments, storage and basic networking. the majority of the problems were with implementing advanced features like high availability and more complex networking. There is a lot of documentation on how to do it but it is not seamless, even to experienced virtualization professionals.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions
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VMware is the pioneer of virtualization but when you compare it with Hyper-V, VMware lacks the flexibility of hardware customization and configuration options Hyper-V has also GPU virtualization still not adequate for both platforms. VMware has better graphical interface and control options for virtual machines. Another advantage VMware has is it does not need a dedicated os GUI base installation only needs small resources and can easily install on any host.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Nothing is perfect but Hyper-V does a great job of showing the necessary data to users to ensure that there is enough resources to perform essential functions. You can also select what fields show on the management console which is helpful for a quick glance. There are notifications that can be set up and if things go unnoticed and a Hyper-V server runs out of a resource it will safely and quickly shut down the VM's it needs to in order to ensure no Hardware failure or unnecessary data loss.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Massively positive impact on expenses in my company by reducing our storage needs drastically. We were able to reallocate the budget to upgrading our primary Hyper-V server with pure enterprise SSD's as we reduced the storage needs by over 50% and by this we increased performance by over 400%.
We have deployed more than 8 servers with EXTREMELY minimal cost using Hyper-V and not requiring another hardware server to host it. We have leveraged our hardware resources in our 2 servers so well that we were able to add many new services, not in place prior, as we did not have the servers to host them. Now with Hyper-V, we deployed many more servers in VM's, purchased OS's & CAL's, but did not need any hardware, which is the greatest expense of all.
With Hyper-V, our ROI was reduced from 36-40 months on our primary server, down to only 13 months by reducing costs of storage and adding so many more servers, by calculating the "would-be" cost of those servers that was avoided by creating them in Hyper-V.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
