Amazon S3 Glacier Reviews

I use the solution for storage. We use it for application data storage and retrieval and for data backup. It has various use cases for storing applications, platforms, or other data types.

I like creating buckets where data can be segregated at a high level and then routing the appropriate data to each designated bucket. In terms of value, I would say that the tool gets the job done in a simpler manner. 

I believe the usage reporting could be simplified, particularly for billing purposes. Overall, I find Amazon S3 Glacier's reporting system somewhat confusing compared to other hyperscalers in the market.

In terms of improvements, I believe AWS could enhance the service by providing regional accelerators to reduce network latency and offering options for caching buckets for easier configuration. Additionally, providing options to specify usage duration for particular sessions or partitions would be beneficial. While it is intuitive to some extent, there is room for improvement to make it even more user-friendly.

I have been using the product for two years. 

Monitoring apps and systems should be part of deployment. You should be able to set up auto-scaling and alerts during deployment. For example, you could get a warning if CPU usage hits 70 percent and a critical alert at 80 percent.

We haven't come across many instances of large data volume. However, when we encounter it, it seems to be more about ensuring that our applications can handle the workload. Fortunately, we haven't experienced any significant lag issues. 

I haven't contacted the support team yet. We don't have any specific support package from Amazon for the services we're using. Instead, we rely on Amazon's public support. 

Amazon S3 Glacier's deployment is straightforward. The deployment process typically involves several steps. Firstly, you must acquire the image, select the appropriate zone, and deploy it within it. Following that, you would define the necessary parameters. In my experience, I've mostly worked with virtual machines rather than containers.

Typically, a team of just one person is sufficient for deployment and maintenance, maybe with a mentor. 

I've operated with Amazon S3 Glacier in two modes. Firstly, there's the trial mode, where I experimented with the platform, learned its functionalities, and applied it to my work. Secondly, there's the corporate account mode, where my team handles the operations, and I receive billing reports. 

I haven't extensively used the retrieval options. Generally, we haven't encountered any significant issues with the service, although occasional network latency might occur due to various factors such as server positioning. However, the retrieval process has been fairly reliable.

Rating the tool on a scale from one to ten is quite challenging. It's akin to comparing different brands of ovens, such as Murphy Richards, Samsung, or LG. All of them are excellent in performing their basic function. However, the differences lie in their operation, user interface, and user-friendliness. Similarly, AWS stands out as a leader in virtual services, but comparing it directly to others is not straightforward.

I rate it a nine out of ten. The tool's integration into existing workflows is simple. Whether or not to recommend it depends on the requirements of the individual or organization. It's essential to assess what kind of data they intend to use it for and what their data needs are. Appropriate recommendations can be made based on these factors and other qualifying queries.

We mainly used the solution for file storage and hosting static websites.

Amazon S3 Glacier is a highly stable solution.

The solution’s deployment process is complex and could be improved.

I have been using Amazon S3 Glacier for three to four years.

Amazon S3 Glacier is a very stable solution.

I rate the solution ten out of ten for stability.

We have plans to increase the number of users for Amazon S3 Glacier.

I rate the solution ten out of ten for scalability.

The solution’s initial setup is straightforward.

The solution’s deployment takes around 15 to 20 minutes and can be done in-house. Two to three people are required for the solution's deployment and maintenance, including a developer and a cloud fundamental expert. They need to have a proper understanding of each different environment where the solution needs to be deployed.

We have seen around 300% return on investment with the Amazon S3 Glacier. With Amazon S3 Glacier, you save on infrastructure costs, security compliance costs, and the cost of employing technical staff.

Amazon S3 Glacier is not an expensive solution, and it has a pay-as-you-go pricing model.

The solution helped us to meet our compliance needs. We use Amazon S3 Glacier as a platform as a Service (PaaS). If you have a virtual server, you can create a copy of the solution on an entire virtual machine. In case it goes down or someone messes with the configurations, you could just easily activate the copy.

Amazon S3 Glacier is expensive as far as virtual machines and data storage are concerned. That's why I minimized the data storage as much as possible. Two to three people are required for the solution's deployment and maintenance. They need to have a proper understanding of each different environment where the solution needs to be deployed.

Amazon S3 Glacier works like OneDrive, and it's straightforward to upload or download from it. I would recommend the solution to other users. Hosting static websites is straightforward, but you need a specialist to guide you to deploy dynamic websites on Amazon S3 Glacier.

The solution is easy to manage, and I rate it an eight out of ten for its ease of management.

Overall, I rate the solution a nine out of ten.

We used to have our own storage, hardware, and software in a legacy environment. Our data was completely stored on-premises. Nowadays, AWS is offering a cheap way of storing data. We use Amazon S3 Glacier for the project's storage purposes.

Amazon S3 Glacier is scalable, flexible, easy to maintain and handle. The solution is easy to handle, where you have to log in, upload, and check your details. Amazon S3 Glacier is a simple, user-friendly, scalable, flexible, and easy-to-use solution.

Amazon S3 Glacier could be more flexible, user-friendly, and secure.

Amazon S3 Glacier has good stability.

I rate the solution a nine out of ten for stability.

Users have to pay for what they use. You can easily scale the solution from 15 to 20 terabytes, but you have to pay for that in the next bill cycle. Amazon S3 Glacier is used by around 100 users from the development team in our organization.

The solution's initial setup is straightforward and not complex. In the initial legacy, we used to put our servers in our data centers, look for storage, and give a path to that storage. In Amazon S3 Glacier, you can directly put your credentials for the portal login and upload your data.

Amazon S3 Glacier doesn't take much time to deploy. You have to log in to a simple user portal for AWS; do two or three clicks, and you are good to go. Individuals without much technical expertise can install the solution. However, you need a technical person to manage all the accounts.

Our organization doesn't need to spend money creating infrastructure on their premises. Since Amazon S3 Glacier is a cloud-based solution, we don't have to put machines in data centers or use hardware storage in the data center.

Other on-premises storage solutions are much more expensive than Amazon S3 Glacier. Customers prefer Amazon S3 Glacier because it is a cheap and pay-as-you-go solution.

There is no licensing for Amazon S3 Glacier. It has a billing cycle, where you have to pay for what you use at the end of the month. If you use more, you have to pay more. If you use less, then you have to pay less.

Amazon S3 Glacier is a completely cloud-based solution.

Overall, I rate Amazon S3 Glacier a nine out of ten.

We use Amazon S3 Glacier for hosting web files for testing.

We take a lot of data from the police to do ANPR. It's basically for big data to allow bandwidth on the data center, where there are about 1,000 images per second coming through to the data center.

AWS Lambda is the most valuable part of the solution because it gives you a code interface for everything.

Their pricing structure is always a big topic. It's so difficult to understand. I had a personal account once, and I was so scared to type in my credit card because I wasn't sure how much I would be charged.

At home, I might turn on the VM to test something, and I might be on there for three minutes wondering how much it could cost. The solution might tell you there are so many hours of free usage and a free VM, but it's still scary because you don't know how much it will cost, even if you go over one second.

The price structure needs massive simplifying and made crystal clear so people know what they're paying.

I've used Amazon S3 Glacier for years.

I rate the stability a nine-point nine out of ten. They've got shared data services, giving you an SLA of about 0.001%.

There's a huge amount of data on Amazon's data center. Every camera in the West Midlands takes photographs of cars constantly and loads all the data into the data center. Since Lambda is Python, I'd rate the scalability a ten out of ten. I understand the API Gateway completely. But when it comes to security, I'd rate it a three out of ten. AWS, as a whole package for what it provides, I rate its scalability a seven out of ten.

The technical support team has a lot of people who know their stuff.

Positive

The initial setup is difficult, not because of applications like S3 or VMs or firewalls and gateways, but because of security. The most important thing about using AWS isn't the tools you will use. It's the security you apply to it. The solution's security is a complex area involving services that talk to each other and how the users interact with those services, whether internal or external, to be logged into AWS. The people in security need to be certified.

The deployment was a continual process, working with several external organizations, such as the transport police in my case. Setting up Amazon takes under an hour if you've got everything available. But the process starts with knowing the tools we need to achieve what we're trying to do. Amazon is very good at talking, explaining what they've got, and upselling. They'll tell me exactly what you need, though they won't tell me how much it costs. But that process takes months to understand unless we get free services to trial and test the solution before you start going into it.

I've seen value and impact in my organization using Amazon S3 Glacier.

You need a PhD to understand their pricing model. We often sit through meetings, going through all of these documents from AWS, going through how to calculate pricing based on so many different factors. At the end of it, there's a fear when the bill comes in because nobody understands how much it's gonna be.

AWS has these pricing calculators. You type in which server you want and how much usage, but at the end, you don't feel confident when it says $3.98 because I know that we were paying £20,000 per month for AWS services at one point. Some of the other services are RedShift and something else. When pulling in data for the police for ANPR, storing the data in the UK data center costs a fortune.

I rate Amazon S3 Glacier a ten out of ten.

Two bits of advice: make sure you get a specialist with things like security, such as network security. The security is indirect with AWS. You could get an expert in Python using Lambda, but it doesn't make you a network security person. Once you've got a million pounds worth of business data in Amazon, you could potentially share that with the planet if you don't know how to set up the security. Get the relevant technical specialist for things like security.

The second bit of advice is to completely understand the pricing structure.

Our source metadata used for analytics and data lake was kept on Amazon S3 Glacier. Amazon S3 Glacier is a very cheap storage, where we store infrequently used data. If we have a large amount of data that many people are not accessing, we keep it in Amazon S3 Glacier to save the cost.

Users have to pay much less for storing data in Amazon S3 Glacier. However, it is costly to access the data from the solution. If somebody requires a large amount of data kept in Amazon S3 Glacier, that will cost a lot.

Amazon S3 Glacier becomes very costly when used on a big scale. Although Amazon S3 Glacier is cheap, its data retrieval cost is very high compared to other solutions.

I have been using Amazon S3 Glacier for four and a half years.

I rate Amazon S3 Glacier ten out of ten for stability.

Amazon S3 Glacier is a highly scalable solution. More than 100 users were using the solution, and we plan to increase the usage.

I rate Amazon S3 Glacier ten out of ten for scalability.

The solution's initial setup is very easy. I rate Amazon S3 Glacier ten out of ten for the ease of its initial setup.

Someone with a little knowledge of the solution can deploy it in a day. One person is enough to deploy the solution.

Amazon S3 Glacier is very cheap, but the cost becomes a concern when you have a very large amount of data. We used to spend around $ 200 a day on the solution.

Amazon S3 Glacier is a cloud-based solution. Amazon S3 Glacier is the best alternative for users who have to access a large amount of data.

Overall, I rate Amazon S3 Glacier a nine out of ten.

We use Amazon S3 Glacier for several purposes. We have buckets for our pipelines, software repository, timesheets, and performance data. As per state regulations, we must retain this data for eight years. So to comply with these regulations, we have set up a lifecycle policy in S3 that moves the data to Glacier after five years. This means the data will be stored in Glacier for the fifth, sixth, seventh, and eighth years. We can retrieve the data from Glacier if we need to access it during this time. Beyond five years, the data will remain in Glacier for three years.

The main advantage of Glacier is its low cost. It is incredibly cheaper than other storage options, especially for objects you don't access frequently. Glacier would add value if you have a staging area for objects you only need to access occasionally. Since we have data in terabytes between S3 buckets, we can significantly reduce our storage and cost footprint by using Glacier.

The most valuable feature of Glacier is that it automatically processes archives. Glacier's performance is also very good. We initially thought retrieving objects from Glacier would be difficult but easy and quick.

Technical support needs improvement. Previously, even though we had premium and enterprise support, the response time would be quicker if we ran into issues, but now it is slowed down.

The analytical dashboard feature, like the CloudOps dashboard, should be included in the next release of the Amazon S3 Glacier.

I have been using Amazon S3 Glacier since 2016. We are using the latest version.

I rate the solution’ stability a ten out of ten.

I rate the solution’ scalability an eight out of ten.

There is no need for deployment at all since it is a service.

We have seen ROI with the product's use. 

The product is cheap.

If you plan to store your documents for over three years, I recommend using Amazon Glacier S3 to the fullest extent possible. This is because the longer you store your data in the tool, the more you pay. By moving most of your objects to Glacier, you can save money. Additionally, you can use Reserved Capacity to save even more money. Retrieving data from Amazon S3 Glacier is relatively easy. It is easier than retrieving data from the tool. So, I think people should use the product as much as possible.

Overall, I rate the solution a nine out of ten.

We use the solution for storage. We store photos, attachments, and different objects.

You need a strategic approach. You also need to consider the technical abilities of the person utilizing the platform to fully understand it. 

Some things are learned as you use the platform. You need to consider what you want to store, how long you will store it, and its usefulness. You need to have a proper storage plan. While understanding the platform is crucial, you must also understand the business side because you must pay for the licenses and storage you use. It's about balancing the technical and business aspects of the tool.

Amazon S3 Glacier is easy to use. The platform is straightforward, and the interfaces are user-friendly and responsive. Even with a limited budget, you can train someone without an AWS certification to use it. With on-the-job training, you can ensure they understand what needs to be done to use the service.

The cost can be lower. Sometimes, users may access the platform, advertise it, and then receive a bill they cannot afford. It would be helpful if there were a policy where a budget owner could understand the costs associated with storing data and approve expenditures based on the project budget. Due to the retrieval options, SMMEs may be ignorant of the costs and cannot afford the platform.

The product is stable.

I rate the solution’s stability as ten out of ten.

It's pretty scalable. Yeah, it has potential if you have a demand, and they can meet it. They are perfect on their end, but you must also protect your infrastructure and data. There are some shortfalls or pitfalls that you need to ensure that you cover.

I rate the solution's scalability as ten out of ten.

The initial setup is straightforward because you use their dashboard and user interface. As long as you subscribe, it's easy to set up.

You need to comply with the requirements and ensure that you understand what it is that you need to do.

The product is expensive. They price you as you use it.

It works perfectly if you start to chat. You learn these things as you use it because it involves technical ability, pricing, and ensuring that you comply with government requirements.

Despite the speed limitations, the Amazon S3 Glacier performs well. As long as you have a network and store your data within your region, the data centers within EMA are quite responsive regarding data retrieval.

Overall, I rate the solution a ten out of ten.

We use the platform for building data packages and storage, which involves efficient data handling and backup solutions.

The platform provides reliable and scalable storage, secure data encryption, and easy data retrieval options.

The product could be improved in terms of the customer support team's response times. 

I have been using Amazon S3 Glacier for more than four years.

The product is highly stable. 

The product is highly scalable. 

We rarely need technical support due to the comprehensive documentation available. However, the response time needs improvement. 

The deployment process was straightforward and typically takes 15 to 30 minutes, depending on the configuration requirements.

The pricing is average and reasonable. It varies depending on the region.

I recommend Amazon S3 Glacier an eight out of ten.