Cisco Application Centric Infrastructure (Cisco ACI) vs. Google Compute Engine

The ACI solution is perfectly fit for a large or multi-site data center environment. It permits simplifying deployment, management, automation, and security. ACI is especially valuable when strong scalability, automation, security, and segmentation are required. However, ACI is less suitable for a small environment due to its complexity and high cost.

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You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

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• Cisco ACI, The object model is very complicated. It's something difficult to understand and also because there is a user interface, there's a web user interface, but it's not optimal to use it because if you want to deploy a large amount of VLAN or a large amount of tenants, it's quite difficult to do it or it's quite challenging. Maybe if you want to configure a large amount of ports using the web interface, it's not appropriate because it takes a lot of time. It also provides APIs to do that, but as I say, the object model is very difficult to understand and there is very little documentation about automation of the ACI and maybe there is but it's not so easy to find.

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• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

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• I think something I've just went to a session with hyper fabric and the ideas that hyper fabric has. Keep it really simple because Cisco ACI is a complex system and adopt some of the ideas behind hyper fabric, bring it to ACI that will be really beneficial. So as I said, automation is a great thing, but it's still, you need to have the background and the really complex stuff that happens behind the scenes to leverage the value of that solution. And by adding more simplicity to it, I think that will be a great thing. And also integrating with other applications in terms of the automation.

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• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

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Provided with the intensive fault isolation for the CISCO ACI, we are glad that we have this Data Center Solution in place and we will continue to renew as long as the future needed requirements are meet and more helpful features will be enabled in the future with the integration of security

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Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

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You'll need a lot of training and hands on experience to get the most out of the product. There are a lot of very useful features in the ACI product. Often times there are a lot of ways to get to a solution for chalanges in the field. The solutions might be different eacht time. Knowing which one to implement is somtimes a challenge.

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Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

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It allways works. If there are problems with links going down by accident (say someone accidentally unpatches something they shouldn't have), we rarely miss more then one packet over the link. Also, using VPCs we are able to upgrade the software on the switches without the attached EPs ever noticing.

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Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

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Day to day operations on Cisco ACI do not require much human intervention, the platform ticks over without any major faults. Being able to rapidly replicate the communication between two groups of machines across multiple sub networks speeds up new application delivery, and the integration into vmWare allows multiple teams within IT to work together to problem solve rapidly.

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It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

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Cisco provides users and partners with a multitude of data for you to consume. I think that the stuff in the public domain goes a long way to assisting you find any answers you may need, plus insights and information from areas such as DevNet provide you with access to more than just the traditional release notes and the like

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• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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The Cisco ACI training provided by Cisco was in depth, covered all of our requirements, and allowed us to implement and maintain the platform without issues.

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Being involved in the implmentation gives you more overview on how things are supposed to be working and communicating, you can easily performce troubleshooting and understanding the troubleshooting scenario

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Actually we start our learning in networking career with Cisco. So it is very useful or easier to learn this product. And honestly speaking, I didn't work in any other data center solution other than Cisco. So I cannot compare what it gives us more than other popular stuff. But this is very nice product like from Cisco.

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Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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Cisco ACI scales well and is suited in scenarios such as multi-cloud or large data centre implementations. It is not suited to smaller deployments as the efficiencies that it provides are not fully realised. It is well suited in large environments that contain both virtual and bare-metal machines allowing a great deal of flexibility. It is also perfect to support multi-tenancy platforms.

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It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

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• We've definitely spent quite a bit of time relearning how to do things in ACI, but I think the investment has been well worth while considering that we can now deploy tenants and leaves from the ground up in a matter of seconds.
• We can if we choose to upgrade an entire datacenters worth of switches in a single night. (We've chosen to break it up for availability requirements, but if you didn't require 99.999% uptime like us you may be able to do it)

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• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

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