Rapid deployment of cloud services has largely helped organizations maintain business continuity. The ramp up was not without its complications, and companies must now reassess their IT strategies to optimize their resources under the economic uncertainty,.
Cloud complexity sets in when accelerated cloud migration spiral into technical challenges and high operational cost. The complication extends beyond the compute infrastructure when taking into account the multitude of data in a company’s storage bucket from its CRM, machine learning model, or IoT sensors.
Technical complexity (39%), cost (33%), and conflicting processes or methodologies (32%) are the top challenges facing IT decision-makers.
Organizations must concentrate on how their cloud implementations could be manageable and beneficial for their long-term goals. Price decline in compute cost—the sharpest drop since 2015—is a boon for companies, but the impact could be negated by increased usage.
While hybrid deployments are a viable approach, but IT needs to ensure such deployments are flexing with evolving needs. This demands constant reassessment and optimization over an automated process, but ideally perfected with human expertise.
At the same time, there is the looming matter of cloud complexity that must be resolved with discipline and governance to ensure business recovery is on track.
Indeed, cloud complexity should be top of the list in the review of IT strategy calls for companies to reap optimum benefits from their assets. Companies which lack the engineering resources should turn to the managed service providers to ease into the transition.
The Law of Cloud Complexity states that the longer the period between the resolution of disorder, the more effort required to resolve the disorder. There’s no time to waste. Source
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