IBM Cloud Bare Metal Servers vs. IBM Cloud Object Storage vs. IBM Power Virtual Server

Well suited - 1) To Install required Products/Software in a middleware technology 2) Customize the file system and size of the storage 3) Install required monitoring tools like Tivoli, Splunk, etc. Less appropriate - 1) Maybe for SAAS products that do not require all of the installations.

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In my experience, IBM Cloud Object Storage is well suited for projects like the one I am working on. This includes the use of natural language classification and the uploading of data to train a machine learning model for tag suggestions based on a body of text. Using IBM Cloud Object Storage has helped with this greatly. IBM Cloud Object Storage has also been great for Big Data Analytics thanks to its scalablilty and ease of use for large datasets. Alongside IBM Watson and our team's internal big data tools we've managed to process and analyze data more efficiently, leading to key insights that have driven business value for our clients.

It is really impactful in terms of scenarios like ERP systems and Data Analytics where heavy data needs to be analysed in terms of volume and their needs to be high scalability offering so in that scenario it is a great asset and features like distribution of workload using AI capabilities by leveraging modern IBM offerings like Watson is really helpful the area in which it could improve is native development of application in terms of adoption of New cloud Technologies

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• Performance - the servers perform really well, even under stress. We have some long build processes running concurrently, and the server [can] serve other applications without any problems.
• Secure - for the most part, the servers are very secure and IBM provides many tools to help [make] sure the servers stay that way.
• Highly Available - while we have experienced various downtimes and outages with other IBM Cloud offerings, so far, we have not experienced any with [IBM Cloud] Bare Metal Servers.

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• IBM Cloud Object Storage is an excellent choice for disaster recovery and backup solutions. Its high durability and geographic redundancy ensure that our backup data is safe and can be quickly restored in case of a disaster. This capability is crucial for maintaining our business continuity and minimizing downtime. We have deployed our loads in an IKS cluster distributed in 3 different AZs with stateful data allocated in COS.
• We have a video streaming application and need to store and deliver a vast library of video content to millions of users worldwide, so we store our data in COS, which is cheap and reliable.
• We have a bunch of data that must be analyzed and stored in datasets for fraud detection, risk management, and customer insights. In these cases, this data is moved from Onprem to IBM Cloud so we can use cheap storage like COS.

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• It is good in managing our documents in a precise manner.
• It is a comprehensive tool and supports other languages like JAVA and Python and it is useful for us.
• It is quite a valuable tool available at a reasonable price in the market and it is a scalable tool.

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• [In my experience, the] Customer Service Agreement (CSA) has many gaps in terms of responsibility with Bare Metal Servers.
• [I believe] IBM should be deploying servers and firmware updating all components before providing them to customers to prevent component failure.
• [I feel] IBM needs lots of improvement with their legacy VPN to access IMPI management tools. The level of security of it is unparalleled when it works. Having access to KVM / IPMI is critical for any business, and when their VPN service is not working.
• [From my experiences,] IBM deployed faulty hardware, or failed to update firmware per Lenovo notices, only to pass off blame.
• [In my opinion,] IBM's General Counsel and Paralegal held our data/company hostage when components failed, [in my experience] to IBM "gross negligence" (in their words), only to release it if we were to limit damages to $1,000.

• Searching and retrieving—full-text search or metadata search—is one of the significant areas of improvement. It isn't easy to search for data with this.
• Integration with other IBM cloud services is trickier. For example, integrating this with API Connect to access the data from API will be difficult for users.
• Support - I think you should have more support community.

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• The software appears to be geared for a no-programming approach, which implies that making changes is more difficult.
• The user base is small making it monotonous and difficult to come up with new methods.
• The number of rankings is not as large as competitors.
• The admin end is poorly designed, as they are unable to receive and respond to client feedback.

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Due to cloud computing taking over the market, I have moved to cloud computing. It is so much easier upgrading or downsizing a virtual server on the cloud vs bare metal. I find it way more convenient on cloud computing. The provisioning takes way too long for bare metal servers.

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because it is a robust, safe and flexible product

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Easy to understand the architecture, easy of implementation and support with perfect documentation. Results driven performance in terms of latency and speed. Able to perform heavy workloads and huge transformations, also integrated SAP systems and Oracle robust deployments. But looking more in terms of AI capabilities to achieve more innovation.

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For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with

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It provides strong support for Terraform, Ansible, and API-based management gives power users flexibility and efficiency and IBM Cloud UI is modern and relatively easy to navigate. Interfaces and workflows are consistent with on-prem Power Systems management tools. Areas to be improved - Compared to AWS or Azure, the UI could be more streamlined in how it presents all related services (e.g., networking, logging, storage) that tie into PowerVS

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We rarely face downtime or access issues with IBM Cloud Object Storage. It’s mostly available when we need it, even during peak hours or heavy data loads.

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Very easy to use.

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I would give it a 9 because it works smooth with our AI and analytics tools, no major slowdown. Pages and dashboards load fine most of the time, and reports finish in decent time even when data is heavy.

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While there’s room for improvement, it generally works very well.

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Great responsiveness and detailed know-how from the team. Self Explanatory and good resources on the Web to resolve issues. Good communication on issues via email. Good response times on issues which arise and where we have received support from the IBM support team. We believe that IBM is a great Partner to base our IT applications and we believe that a critical infrastructure like a cloud backend will be well served if we continue to base it on IBM.

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I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.

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As with most IBM products the ongoing support for IBM Power Virtual Server is solid and consistent. IBM provides a clear roadmap for receiving support of their products. Both voice and online response is offered. It is obvious that IBM has the internal systems and culture to maintain support functions. This starts from the initial support call to the problem analysis and continues through the problem resolution. Documentation and communication are consistent within this process.

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I just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.

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The implementation of this software took place as we planned. The performance time taken for full functionality was very reliable with positive results. The customer support team was the best team I have ever met in my career experience. They are always with timely responses when reached to offer any help.

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Yes Our organization used IBM professional services to implement IBM object storage because of its data consistency and multiple way to upload and download data and its encryption security features. Also that its brand matter for the any organization to secure the layer and storage. It sis also verify that application and system are compatibale for this product

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It is economic.

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The Best part of this IBM Cloud Bare Metal Servers is performance and a very highly usable part is Security stuff. everyone needs to secure their data and work with a smoothly running app. for this reason I select this server rather than another one. I will use it in feature [definitely].

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Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.

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They both have their own ups and downs and it totally depends on the team which suits them best. IBM Power Virtual Server has Performance, Scalability, Reliability and Availability, Compatibility, and Good Vendor Support. The specific use case and workload requirements played a significant role. Some workloads may benefit from IBM Power Systems' architecture, while others may perform equally well on alternative platforms.

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Scaling up the number of users can lead to significant increases in licensing costs, which, while not a technical limitation, can be a practical constraint for some organizations

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Built to handle thousands of concurrent users, high query loads, and massive datasets especially in data-heavy industries like finance, healthcare, and manufacturing. In-memory processing, dynamic query optimization, and intelligent caching mechanisms help it scale efficiently under load. You can configure clusters of Cognos servers to distribute workload and ensure high availability, even during peak usage

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• Future readiness--we have the ability to quickly respond and build custom demos for customers in a short timeframe.
• Savings on hardware--we have the ability to spin up large workloads to demonstrate to customers the performance of our tools and IBM Cloud.

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• This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
• This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
• There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.

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• We have had a return on investment of 30%.
• There have also been 80% fewer application crashes due to a lack of resources that previously ran on the X86 platform.
• Administration management has been simplified and staff can dedicate themselves to the development of applications, instead of providing support to users when the applications do not respond efficiently, this made staff 45% more productive.

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