By Sumana Iyengar – CEO & Co-Founder, Goavega Software
Organizations are shifting to cloud computing in large numbers and this can be attributed to its incredible benefits like flexibility and cost savings among others. However, cloud computing can prove to be a real game changer for your business only if you take cloud optimization too into consideration. Cloud optimization is the process of eliminating wastage of cloud space and resources and ensuring that they are utilized in the most efficient manner. Merely investing in the cloud won’t work wonders for your business. Cloud optimization enables enterprises to achieve cost efficiency and optimal performance by identifying resource wastage monitoring and correcting cost anomalies.
The rise of DevOps has made cloud optimization more important than ever. DevOps has given birth to an agile setting where optimization is of paramount importance. Enterprises today massively overprovision so downtimes and service errors don’t affect application performance. This results in overspending and most of the cloud resources remain underutilized. Cloud optimization ensures optimal allocation of resources, effective collaboration and application performance. While enterprises take a precautionary approach and overprovision, it translates to huge losses which need to be tackled effectively. Some of the best and reputed cloud management tools one can look at include Amazon’s AWS, Google Cloud, Azure and Harness, among others. Based on the specific requirements and customization, an expert cloud partner can recommend the appropriate tool to maximize benefits.
Listed below are key benefits of cloud optimization that emphasize why every organization should pay attention to cloud optimization:
Enhanced efficiency: Cloud optimization isn’t just about cost savings. Cloud optimization subsequently leads to enhanced efficiency within the organization. It helps remove components that are not aligned with the organization’s performance and productivity goals. Employing cloud optimization strategies give better visibility into the whole cloud environment so you can rightsize and arrive at the optimal cloud configuration to maximize your performance. Cloud optimization also enables organizations to gather context and get the full picture with respect to how cloud resources are being spent and which areas can be improved by adding or removing cloud features.
Reduced costs: Cost savings is one of the most obvious benefits of cloud optimization. Enterprises spend a major chunk of their cloud budget on over provisioned and unused infrastructure in the absence of cloud optimization. Cloud optimization ensures better resource allocation and utilization. With cloud optimization practices, organizations can gain insights into the complex interplay of cloud usage and business processes and relate costs to the real value. Cloud optimization involves the use of cost monitoring tools which alert organizations when expenditures rise above the limit. Money saved on cloud waste could thus be reallocated to other areas of business increasing overall profitability.
Agile infrastructure: Auto-scaling is one of the cloud optimization practices that has immense benefits for today’s organizations committed to sustainable growth and profitability. Auto-scaling enables organizations to dynamically adjust computational resources according to the workload’s resource demands. This means money is spent only on resources that are actually used. Organizations can increase or decrease the computational resources as demand spikes or drops. As the workload is allocated only resources that are necessary, it effectively eliminates resource wastage.
Enhanced transparency: Deploying cloud optimization practices translate to enhanced transparency within the organization. The use of analytics in cloud optimization results in greater visibility paving the way for data-driven decisions. Without cloud optimization, organizations miss the opportunity to leverage advanced analytics and tools to their advantage. Organizations can accurately trace
trace cloud costs to business units, products, and other key segments with the help of cloud optimization. This raises cost-awareness and exposes wastage and undesirable spending patterns. Backed by detailed reporting, decision makers and key stakeholders can create organization-wide standards and policies with better accuracy. Cloud optimization proves a vital role in enriching the quality of decision making within organizations.
Better customer experience: Better customer experience is another significant advantage of adopting cloud optimization. An optimized environment will prevent problems before they even emerge which ensures an enhanced experience for end users. Cloud optimization often results in improved collaboration and decision-making across teams that spur innovation and boosts productivity. With increased business agility, flexibility and improved performance, organizations with cloud optimization stand a better chance to serve their customers better. Recurring issues don’t just waste your valuable resources on troubleshooting but spoil the customer experience. Effective cloud optimization is therefore the key to enhanced customer satisfaction.
With organizations moving to cloud in large numbers, cloud optimization is increasingly gaining prominence. Cloud optimization balances efficiency, performance and compliance ultimately delivering a better experience to customers. Cloud Optimization helps understand past performance and forecast future needs based on data. It is an important prerequisite to leverage modern tech solutions powered by Artificial Intelligence (AI) and Machine Learning (ML). Cloud computing coupled with optimization practices would undoubtedly equip enterprises with enhanced capabilities. However, having the right cloud computing and optimization expert is the key to leveraging these benefits. The right digital transformation and cloud solutions technology partner can help in not only ensuring optimized business performances but also guide on the various aspects from cost management to modelling and forecasting.