IBM delivers solutions designed to mitigate risk and facilitate cloud adoption. In particular, organizations deploying production IBM Db2 workloads need scalable and performant persistent storage that provides their applications with universal application and data mobility. Cloud and container-based solutions must support all of their data, without forcing arbitrary compromises.
The IBM Db2 team has spent the last several years transforming its delivery and infrastructure toward a Kubernetes-native Db2, tailored for hybrid and multi-clouds and managed by Red Hat OpenShift. One of the most important aspects of this transformation is integration with Red Hat OpenShift Container Storage.
In this blog post we will highlight the performance and validation testing completed between IBM and Red Hat Data Services engineers using Db2 Data Warehouse on the cloud (Db2WHoC) running on OpenShift Container Platform 4.3 with OpenShift Container Storage 4.3 for persistent storage.
IBM’s Db2 has been a leading enterprise database solution for years. It delivers online transaction processing (OLTP) and data warehousing services for many enterprises with critical applications running on Red Hat platforms.
In our tests, we chose the IBM Db2 Data Warehouse Multi Parallel Processing (MPP) option as complex queries underscore resource utilization (compute, memory, storage and network). It is also one of the solutions offered in IBM Cloud Pak for Data which can consume Red Hat OpenShift Container Storage through IBM Storage Suite for IBM Cloud Paks.
A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.
Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.
By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.
However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.
Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.
Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.
Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.
Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.
The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.
For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.
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The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.
In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.
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Learn about the benefits of Cloud Performance Testing along with the correct approaches for an effective solution, while developing web and mobile apps.
In case the cloud performance testing is outsourced to an external cloud service provider, carefully ensure their security, reliability, quality, and bandwidth. There are certain aspects that shouldn’t be compromised while selecting a Cloud Computing Solution Provider. When it comes to performance testing, it varies with varying user demands and other factors. Thus, it should be tested according to defined test strategies and also on real-time to ensure continuous improvement over the period of time. Ensure you rely on a company that provides end-to-end performance testing solution to launch future-proof applications that are reliable, responsive, and scalable.
Read More:- Cloud Performance Testing: Benefits and Approach
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Lumen Technologies partners with IBM to integrate IBM Cloud Satellite with its edge platform enabling clients to harness hybrid cloud services and build innovative solutions at the edge.
IBM has announced that its Cloud Satellite edge computing service, based on Red Hat OpenShift, is now generally available in any environment — cloud, on-premises or at the edge. This unifying cloud services layer will allow customers to have control over their critical data, regardless of where it resides.
IBM Cloud Satellite will allow businesses to deploy cloud services securely across public and private clouds, on-premise, or at the edge. It will also help enterprises to deliver low latency, at the edge, without compromising on the levels of security, data privacy, interoperability, and open standards of hybrid cloud environments, stated IBM in its official release.
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IBM has partnered with enterprise technology company Lumen to integrate the Cloud Satellite with its edge platform.
In a bid to accelerate its hybrid cloud strategy in India, IBM recently launched Cloud Satellite. Available across locations, the Cloud Satellite offers a standard set of cloud services complete with toolchains, databases, and AI.
In related news, IBM has received full Cloud Service Provider empanelment from the Indian Ministry of Electronics and IT (MeitY), allowing the tech giant to work with government agencies and other public sector undertakings.
To wit, IBM is making inroads into India with its hybrid cloud strategy.
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