If you have the ability to run multiple clouds or multi-cloud, you will have a hard time understanding why businesses think a single cloud will help them better address their IT challenges. After all, each of these three service models – IaaS, PaaS and SaaS – responds to a specific scenario. In IaaS mode, it is about hosting virtual machines, which avoids heavy investments and any geographical constraint, but leaves users responsible for managing software licenses, technical support costs and business agility. PaaS mode offers software licensing benefits and reduces platform software support costs, while SaaS mode converts an application into service, effectively eliminating virtually all traditional costs.
Because companies rely on personal productivity tools, such as desktop suites and collaborative software, hosting the core server components of these tools in PaaS mode can avoid all the problems associated with updating software. . It also reduces the need for support and gives users access to better applications. But it is another cloud support needed for the company’s core applications. The ideal would be to have resilient applications, able to operate even in the event of local power failure and others that can expand or reduce their wings depending on the workload. To do this, you will need to be able to expand the capacity in a public cloud, and it is IaaS that ensures the most control, security and governance. It’s sort of an “elastic” data centre to infinity.
Multi-cloud approaches range from choosing different platforms for different workloads to dynamically moving workloads to take advantage of vendor-specific pricing and performance. Monitoring cloud performance gives you the information you need to make informed management decisions.
Multi-cloud is attracting a lot of attention right now. 80% of the companies surveyed by Forrester in 2018 described their cloud computing strategy as being multi-platform. There is no “official” definition of multi-cloud today; some companies consider using private and public clouds for different workloads while others say it’s the simultaneous use of multiple public clouds for the same workload. But whichever approach is chosen, the goal is to match workload requirements to the platform that offers the best combination of price, performance, and manageability.
One size does not fit all
Choosing the best platform for a particular workload depends on many factors: application design, integration requirements, location of users or data, need for security, and availability of management tools. Platform providers, whether private or public, are also differentiated by offering unique features and complementary services to attract a certain type of users or address specific markets. Some users will be reassured by the control provided by the use of an open cloud platform. One or all of these factors may play a role in the initial decision on the platform.
Multi-cloud reduces risk
In addition to pure functionality, some organizations are spreading a single workload across multiple cloud/multi cloud platforms to increase resilience to outages. Although rare, failures occur even among larger suppliers, posing an unacceptable risk to certain industries. With a single platform, recoverability is limited to what the provider is able to offer assignment writing service uk. In contrast, a multi-cloud deployment allows users to transfer the processing to another provider, if necessary, to recover quickly after a partial or total loss of a platform.
The split of treatment between two providers also provides an insurance policy against rising costs. With contracts and payment procedures in place at two suppliers, a company can accelerate processing on the most cost-effective platform as demand grows. Many organizations use this strategy to protect themselves from price increases. The main obstacle to switching providers is dependence on native tools or services. Users respond with Cloud Management Platforms (CMPs) and Cloud Service Brokers (CSBs) that separate the “management” part of the cloud platform from the cloud. To reduce blockage and streamline transfers.
Workload transfer can improve performance
A multi-cloud strategy also offers businesses options to improve the performance of their applications and their network. Before a platform change can be justified, the IT team must first gain visibility into the performance of a distributed environment and identify the steps to take to make decisions about the platform. The next critical step is to run simulations on other platforms and validate their ability to meet the required SLAs. In the cloud, data transport is often beyond the control of the enterprise and has a significant impact on the end user experience. Some applications are susceptible to delay, jitter, or packet loss. A critical step in multi-cloud management is to simulate a realistic mix of complex and bulky traffic across multiple endpoints to observe and document any performance benefits. Validation of the new platform before implementation will increase the chances of successful deployment with minimal disruption to users.
Maintaining and troubleshooting a distributed network is a significant cost to an organization. Some organizations are already using active monitoring to continually measure productivity, proactively identify bottlenecks, and patch the tests. In a multi-cloud environment, active performance monitoring can lead to lower costs and provide critical information for cloud orchestration.
The future of multi-cloud
At the forefront of multi-cloud strategy, organizations build an environment in which potential workload transfers are automatically identified and executed dynamically. In this environment, strategies and tolerances are pre-established and key parameters are continuously monitored to determine when a transfer is relevant. An orchestration platform initiates and completes the transfer of workload between platforms. This strategy leverages container technology and new cloud data management tools designed to enable the use of multi-platform resource configurations and cloud dependency tracking.
For most businesses, a truly dynamic multi-cloud approach is not yet a reality. In the meantime companies should establish practices and select tools for monitoring and measuring performance in the cloud to gain the knowledge they need to implement it. As multi-cloud technology matures, the ability to change platforms without significant expense or manual effort is insurance against unexpected cost escalation, lack of innovation, or unacceptable service and support.