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Barracuda NextGen Firewall F-Series for Microsoft Azure level 2 - subscript

Mfg. Part: BNGCAZ002A-V1 | CDW Part: 4084204 | UNSPSC: 43233205
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Product Overview
Main Features
  • Subscription license (1 year)
The Barracuda NextGen Firewall is an enterprise-grade next-generation firewall that was purpose-built for efficient deployment and operation within dispersed, highly dynamic, and security-critical network environments.

In addition to next-generation firewall protection, it provides industry-leading operations efficiency and added business value by safe-guarding network traffic against line outages and link quality degradation.

User identity and application awareness are used to select the best network path, traffic priority, and available bandwidth for business-critical traffic. In case of line failure, the Barracuda NextGen Firewall can transparently move traffic to alternative lines and keep traffic flowing.

The Barracuda NextGen Firewall meets enterprise requirements of massive scalability, efficient configuration and lifecycle management across dispersed networks, and performance guarantees for business-critical applications. The concept of integrated WAN optimization coupled with industry-leading centralized management results in significantly lower overall operational cost for multi-site deployments.

All policies, client, and device settings are centrally managed and tracked by the Barracuda NextGen Firewall control center.

Technical Specifications
Specifications are provided by the manufacturer. Refer to the manufacturer for an explanation of the print speed and other ratings.
General
Category: Online & appliance based services
Installation Type: Locally installed
Subcategory: Online & appliance based services - advanced threat detection , Online & appliance based services - adware & malware removal tools , Online & appliance based services - anti-virus , Online & appliance based services - firewall , Online & appliance based services - intrusion detection

Header
Brand: Barracuda
Compatibility: PC
Manufacturer: Barracuda Cloud
Model: for Microsoft Azure level 2
Packaged Quantity: 1
Product Line: Barracuda NextGen Firewall F-Series

Software
License Category: Subscription license
License Qty: 1 license
License Type: Subscription license
License Validation Period: 1 year

Product Reviews
Barracuda NextGen Firewall F-Series for Microsoft Azure level 2 - subscript is rated 4.0 out of 5 by 11.
Rated 3 out of 5 by from Our Chinese clients can initiate international cloud launches of new IOT products, but pricing for outgoing data caps the ability for startups to justify its deployment. Valuable Features:Provisioning, info bus, video streaming, IOT templates, Web Services, SQLImprovements to My Organization:Azure has allowed our burgeoning PRC SOE clients to initiate international cloud launches of new IOT products.Room for Improvement:Pricing of outgoing data has capped the ablity for startup products to justify the ROI of Azure application deployment.Use of Solution:3 yearsDeployment Issues:Just costStability Issues:Over the last 12 months we've seen 2 outages.Scalability Issues:NoCustomer Service:Poor, you can't get to people who know the products when you are ramping up.Technical Support:poorPrevious Solutions:Used AWS and FireHost but switched to support our partnering efforts with MSFT.Initial Setup:StraightforwardImplementation Team:In-houseROI:Not good because of out going data costs.Pricing, Setup Cost and Licensing:Push MSFT to change the outgoing data policy.Other Solutions Considered:AWS, Huawei, FireHostDisclaimer: My company has a business relationship with this vendor other than being a customer:Microsoft Partner
Date published: 2017-08-31
Rated 4 out of 5 by from We have the ability to quickly create and manage resources is critical to getting things done, Azure just makes getting things done a lot simpler. Valuable Features:The ability to quickly create and manage resources is critical to getting things done, Azure just makes getting things done a lot simpler.Improvements to My Organization:Getting resources up and running quickly and providing secure access to those resources makes life easier. Also, Microsoft Azure really does offer a great deal which allows one to completely think about software development in new ways. I love the WebApps feature and am currently learning everything I can about Logic apps.I am really into the Everything as a Service model that Azure seems to be heading towards. Less fussing over VM's and Operating Systems.Room for Improvement:You eventually end up with a large collection of 'bits' all working together, I find it hard to be able to create a logical 'box' and put all the 'bits' that need to be in that box / application into the one place.We're still learning though, so odds are there's something that will help us with this already in Azure.Use of Solution:A few months now, so far very impressed with itDeployment Issues:Just the usual learning curve matters, overall though we find deploying assets in Azure to be very simple, Azure prompts you each step of the way which makes things a lot easier.Stability Issues:No, so far we've had no problems with anything we've deployed onto Microsoft Azure, rock solid.Scalability Issues:At our early stage we've not encountered any scalability issues at all, and we're not likely to either, Azure will easily handle whatever workload we plan to throw at it.Customer Service:Excellent! I raised a support ticket on a question I had and got a prompt, clearly articulated and knowledgeable reply from the Microsoft Technical support person which addressed our question in a very short time-frame.Technical Support:Excellent! Was very impressed with the person I liaised with.Previous Solutions:I was using an on-premises solution with servers running a HyperVisor, we were due to replace old hardware and needed to make resources available everywhere the team is, Microsoft Azure 'just made sense'.Initial Setup:Setting up was quite simple, before jumping in though make sure you watch some of the video's on the MVA site about virtual networking and so forth, the Azure user interface makes deploying these resources relatively straight-forward.Implementation Team:We went in-house, learning as we go. We're still very new to Azure and learning all the time, we'd be beginner to intermediate at most. We're not deploying to production for some time and will work with a Certified Microsoft Partner when we get to that stage.ROI:Several thousand dollars and counting, we haven't needed to upgrade on premises hardware (In fact we eliminated all of the old on-premises hardware and run 100% on Azure) or pay for it's maintenance, power etc.Cost and Licensing Advice:Understand and use the pricing calculator!Learn PowerShell, a quick tip is that you can shut down and de-allocate your VM's when you are not using them, this way the VM's are not incurring charges. We absolutely love this feature, as it means that when the environment is not in use, it isn't costing much (if anything), so it lends itself to making the I.T environment more efficient.Other Solutions Considered:We looked at AWS, but we chose Azure because we use a lot of Microsoft Products and it just felt more integrated.Other Advice:Start with the simple things first, design your environment before deploying anything, even a simple development environment. Understand the charging model used and get to grips with the basics of PowerShell, as nice as the web based front end is, PowerShell is very handy.Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2017-07-03
Rated 4 out of 5 by from It enables a breakdown of IT silos and speeds up micro-service architectures. Valuable Features:In general, the entire suite of PaaS is valuable. It enables a true breakdown of IT siloes and allows an organization to embrace DevOps. It speeds up micro-service architectures and provides interesting and new opportunities to staff, generating morale boosts.Improvements to My Organization:We are faster to market with greater integration of the development and infrastructure teams.Room for Improvement:Predictability and quality. Make sure things work predictable, as expected, and documented.Use of Solution:I have been using Azure for four years.Stability Issues:I have not seen any stability issues. High availability and reliability is good if you follow Microsoft development practices.Scalability Issues:Provides fast scalability, based on demand.Technical Support:Technical support is outstanding. They provide fast and high quality support, even with lower support contracts.Previous Solutions:I used traditional data center solutions.Initial Setup:The setup was complex. There is a lot of training that needs to occur with both development teams and infrastructure teams. It is a different approach. In some ways, it is more structured.Cost and Licensing Advice:Keep to PaaS to gain the optimal benefits from an OPEX finance and resource perspective.Other Solutions Considered:I also use AWS. While AWS is ahead in the IaaS technology, for a Microsoft shop, Azure is more aligned to skills.Other Advice:Learn and spend up-front time on training the organization.Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2017-05-18
Rated 4 out of 5 by from It enables a breakdown of IT silos and speeds up micro-service architectures. Valuable Features:In general, the entire suite of PaaS is valuable. It enables a true breakdown of IT siloes and allows an organization to embrace DevOps. It speeds up micro-service architectures and provides interesting and new opportunities to staff, generating morale boosts.Improvements to My Organization:We are faster to market with greater integration of the development and infrastructure teams.Room for Improvement:Predictability and quality. Make sure things work predictable, as expected, and documented.Use of Solution:I have been using Azure for four years.Stability Issues:I have not seen any stability issues. High availability and reliability is good if you follow Microsoft development practices.Scalability Issues:Provides fast scalability, based on demand.Technical Support:Technical support is outstanding. They provide fast and high quality support, even with lower support contracts.Previous Solutions:I used traditional data center solutions.Initial Setup:The setup was complex. There is a lot of training that needs to occur with both development teams and infrastructure teams. It is a different approach. In some ways, it is more structured.Cost and Licensing Advice:Keep to PaaS to gain the optimal benefits from an OPEX finance and resource perspective.Other Solutions Considered:I also use AWS. While AWS is ahead in the IaaS technology, for a Microsoft shop, Azure is more aligned to skills.Other Advice:Learn and spend up-front time on training the organization.Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2017-05-18
Rated 4 out of 5 by from The Canvas flow interface brings a very nice functionality that improves self-learning. Valuable Features:The Canvas flow interface brings a very nice functionality that improves self-learning.Improvements to My Organization:Selecting and applying a machine learning algorithm is not a click-and-run process. In this case, clustering our data has helped us to find patterns and trends that were not visible using conventional (internal) classification.Room for Improvement:Stronger R integration in a circular fashion (Azure->R->Azure). Nowadays, it has an unidirectional bias.Use of Solution:I've used Machine Learning Studio for the last six months.Deployment Issues:We've had no issues with the deployment.Stability Issues:By using a free account for cloud services can bring you "queued" status, but normally it runs smoothly. The quota defined for free account is enough for a variety of experiments and none of the features are blocked.Scalability Issues:We've had no issues with the scalability.Customer Service:As a cloud service, online chat and email service are available, but the community forums are the best place to solve issues.Technical Support:We have a support maintenance agreement for Windows/Office.Previous Solutions:There are a few competitors in place, and their number is increasing, but friendliness is the strong point of AzureML, comparing to Amazon AWS or BigML.Initial Setup:It does not involve any setup, just having an Outlook or Microsoft account.Cost and Licensing Advice:Using a free account leads to offline projects. For online projects those issues must be evaluated according to client side company's environment.Other Advice:Machine learning is just one part of the whole data science cycle. Big data (streaming, video, etc.) or deep learning needs must be addressed with additional tools. But for prediction/classification this is a fantastic tool.Below is a PCA graph generated by K-means training model and its Qlik Sense panel. The idea is to segment unlabeled data based on numerical features in order to find common patterns that can be grouped, named clusters.Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2017-03-13
Rated 4 out of 5 by from Review about Microsoft Azure Valuable Features:allImprovements to My Organization:smart appsRoom for Improvement:speedUse of Solution:2 yearsnoDeployment Issues:noStability Issues:noScalability Issues:noPrevious Solutions:noInitial Setup:yesImplementation Team:yesROI:managerCost and Licensing Advice:use thisOther Solutions Considered:noDisclaimer: I work for the vendor.
Date published: 2016-09-25
Rated 4 out of 5 by from We've been able to create VMs for development as we ran out of resources locally, but the new portal doesn't feel intuitive. Valuable Features:Customized Dashboard, Site-to-site and point-to-Site VPN, Virtual Machines, SQL machines, SharePoint, Storage, Test/Dev environments.Improvements to My Organization:Creating VMs for development has been huge since we ran out of resources locally. Creating Hybrid solutions provides us with greater confidence in higher availability. Storage has made remote access to files much more painless and easy. Using SSO has also been great reducing the number of passwords and locations required to use them.Room for Improvement:Since the upgrade to the new UI have now transitioned and enjoy the new interface.Use of Solution:2 yearsDeployment Issues:There is a learning curve involved at first glance. Azure has now grown so big its quite overwhelming. I did not experience any issues with the Azure solution itself as much as I did understanding how to do it.,Stability Issues:No issues with stability. Has been rock solid.Scalability Issues:Scalability is Microsofts big advantage. At anytime you can add or take away from your servers growing them or shrinking them to your needs. You can even automate this process. I personally do not get into Enterprise solutions, but it would appear that the G series is quite scalable.Technical Support:I rate technical support 8/10. You don't always get the best English speaking technician, however they know their stuff! If they do not they will find someone who does. In the many years I have worked with Microsoft, they have always been able to fix my problem.I only give them an 8 because I have struggled a time or two with understanding their English. This all really depends on the department you need.Initial Setup:Huge learning curve for me. I found just diving in was incredibly difficult. Much lab time required to understand how things work together. Once you get going however it all makes sense.Implementation Team:I implemented all the solutions myself with a little research.ROI:Microsoft does have special pricing for Development purposes. This does help reduce the monthly costs for our team.I do know the pricing versus other cloud solutions is much higher.Cost and Licensing Advice:We are MS partners. Depending on your partnership you may or may not get Visual Studio Enterprises licenses. Each license allows you to get a $150 Azure credit per month.This has been great for our developers and I to put in to practice some Azure solutions.At this time however, I have not implemented Azure for any customers to discuss the ROI for them.Other Solutions Considered:I know AWS is another great solution, but have not tackled it yet. I do have plans to experiment with Amazons solution to determine for my own the differences. I know pricing is much cheaper.Disclaimer: My company has a business relationship with this vendor other than being a customer:Partners
Date published: 2016-08-05
Rated 4 out of 5 by from The Canvas flow interface brings a very nice functionality that improves self-learning. Valuable Features:The Canvas flow interface brings a very nice functionality that improves self-learning.Improvements to My Organization:Selecting and applying a machine learning algorithm is not a click-and-run process. In this case, clustering our data has helped us to find patterns and trends that were not visible using conventional (internal) classification.Room for Improvement:Stronger R integration in a circular fashion (Azure->R->Azure). Nowadays, it has an unidirectional bias.Use of Solution:I've used Machine Learning Studio for the last six months.Deployment Issues:We've had no issues with the deployment.Stability Issues:By using a free account for cloud services can bring you "queued" status, but normally it runs smoothly. The quota defined for free account is enough for a variety of experiments and none of the features are blocked.Scalability Issues:We've had no issues with the scalability.Customer Service:As a cloud service, online chat and email service are available, but the community forums are the best place to solve issues.Technical Support:We have a support maintenance agreement for Windows/Office.Previous Solutions:There are a few competitors in place, and their number is increasing, but friendliness is the strong point of AzureML, comparing to Amazon AWS or BigML.Initial Setup:It does not involve any setup, just having an Outlook or Microsoft account.Cost and Licensing Advice:Using a free account leads to offline projects. For online projects those issues must be evaluated according to client side company's environment.Other Advice:Machine learning is just one part of the whole data science cycle. Big data (streaming, video, etc.) or deep learning needs must be addressed with additional tools. But for prediction/classification this is a fantastic tool.Below is a PCA graph generated by K-means training model and its Qlik Sense panel. The idea is to segment unlabeled data based on numerical features in order to find common patterns that can be grouped, named clusters.Disclaimer: I am a real user, and this review is based on my own experience and opinions.
Date published: 2016-02-24
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