Amazon Web Services vs. Atlassian Confluence vs. Microsoft Azure

This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.

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I would recommend Atlassian Confluence for companies that want to have internal documentation and minimum governance processes to ensure documentation is useful and doesn't have a lot of duplicated and non-updated content. I wouldn't recommend Atlassian Confluence for companies with a low budget since this product might be a little costly (especially with add-ons).

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Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.

• During the month-end, we experience high resource utilization; however, with AWS's scalability, we can effectively tackle the peak load.
• With AWS IAM, we don't need to set up complete infrastructure for identity and access management, as AWS provides end-to-end IAM services.
• With AWS, development has become very easy as it's very quick to spin up and destroy the environment, which saves costs.

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• Cross product linking - If you use other Atlassian products then Atlassian Confluence is a no-brainer for your source of documentation, knowledge management etc. You can show previews of the linked asset natively E.g. showing a preview of a JIRA ticket in a Atlassian Confluence page.
• Simple editing - Though the features available may not be super complex right now, this does come with the benefit of making it easy to edit and create documents. Some documentation editors can be overwhelming, Atlassian Confluence is simple and intuitive.
• Native marketplace - If you want to install add-ons to your Atlassian Confluence space it's really easy. Admins can explore the Atlassian marketplace natively and install them to your instance in a few clicks. You can customise your Atlassian Confluence instance in many different ways using add-ons.

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• Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
• You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
• The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
• The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.

Incentivized

• When there is any misconfiguration of EC2 related to SSM Connect. It doesn't clearly states that what particular configuration is missing.
• Debugging networking related issues could be improved.
• From the security group page, it's difficult to determine which resource a security group is associated with.

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• UI Design is very simplistic and basic could make use of more visually interesting colour choices, layout choices, etc.
• Under the 'Content' menu, it defaults to having a landing page for all L1 and L2 category pages. Meaning as long as the broader content category has a sub-category, it still creates a separate landing page. In my team's case, this often creates blank pages, as we only fill out the page at the lowest sub-category (L3).
• Hyperlinks are traditionally shown as blue, however, this results into very monotonously blue pages in cases where a lot of information is being linked.

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• The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
• The documentation needs to be improved, and some advanced configuration options require research and experimentation.
• Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.

We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.

I am confident that Atlassian can come with additional and innovative macros and functions to add value to Confluence. In 6 months, Atlassian transformed a good collaborative tools into a more comprehensive system that can help manage projects and processes, as well as "talk" with other Atlassian products like Jira. We are in fact learning more about Jira to evaluate a possible fit to complement our tool box.

Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.

AWS offers a wide range of powerful services that cater to various business needs which is significant strength. The ability to scale resources on-demand is a major advantage making it suitable for businesses of all sizes. The sheer volume of options and configurations can be overwhelming for new users leading to a steep learning curve. While functional the AWS management console can feel cluttered and less intuitive compared to some competitors which can hinder navigation. Although some documentation lacks clarity and practical examples which can frustrate users trying to implement specific solutions.

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Great for organizing knowledge in a hierarchical format. Seamless for engineering and product teams managing software development. Helps in formatting pages effectively, reducing manual work. Tracks changes well and allows for easy rollbacks. Granular controls for who can view/edit pages. Search function is not great which needs improvement. Hire some google engineers

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As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.

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Availability is very good, with the exception of occasional spectacular outages.

I do not recall having outages or applications error so far, very reliable and available.

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It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators

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AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.

We never worked against the tide while using Confluence. Everything loads considerably fast, even media components like videos (hosted on the platform or embed external videos from Youtube, for example). We are not using heavy media components a lot, but in the rare occasion we happen to use one we have no problems whatsoever.

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The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to
immediately search for their compatible software's and also to guide them in a
good direction. Moreover, this product is a good suggestion for every type of
company because of its affordability and ease of use.

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This rating is specifically for Atlassian's self-help documentation on their website. Often times, it is not robust enough to cover a complex usage of one of their features. Frequently, you can find an answer on the web, but not from Atlassian. Instead, it is usually at a power user group elsewhere on the net.

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We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!

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The API's were very well documented and was Janova's main point of entry into the services.

Overall, I am very satisfied with the initial implementation (and the subsequent upgrades and implementations made over the years).

This product has never rose to the level of being an major issue at an executive level. It has quietly and valiantly done it's job for our company!

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As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.

Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you use.

Incentivized

We chose Atlassian Confluence over SharePoint because it's much more user-friendly and intuitive. Atlassian Confluence makes collaboration and knowledge sharing easier with its simpler interface and better search. While SharePoint can be powerful, it often feels clunky and complex, making it harder for our team to actually use it.

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As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.

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This tool is very adaptable. So much so we use it for three completely separate projects, in three very different ways.

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• Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
• Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.

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• The AI feature which lets me find relevant documents while reading one document is really beneficial.
• Centralising of knowledge systems is one of the key differentiators for large organisations.
• As long as folks keep using Google Docs and Atlassian Confluence, there is going to be a challenge in building a continuum.

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• For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
• DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
• Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.

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