The future of Cloud Management: Where will it go next?

Today’s cloud management space is an increasingly competitive one. We’ve seen the rapid adoption of hybrid and multi-cloud strategies and the rise of new players and technologies that can help enterprises make sense of it all. Cloud management has become a critical capability for cloud vendors and enterprise IT.

To fully realize the benefits of the public cloud, enterprises need to have a clear understanding of their cloud usage, be able to monitor performance indicators, and automate responses when things go awry. 

A comprehensive approach to cloud management helps administrators secure sensitive data, prevent breaches, and respond appropriately in case of an emergency.

Earlier cloud optimization was used to assist businesses in tracking and reducing their cloud spending and the cloud cost-optimization tools enabled tactical cost-cutting changes. All the upcoming start-ups are accelerating and innovating in the fields of security, serverless workloads, edge computing, workload orchestration, and other functions that are encompassed by Cloud management.

The upcoming startups are focusing on resolving visibility issues and are now investigating a way to ensure a secure cloud environment. Demands in the tapered domain of cloud-spend management are constantly evolving, but keeping these things aside, there is a fundamental change occurring, and that is that cloud costs are becoming a company-wide problem rather than a team issue.

The effect of FinOps on Cloud Management

Companies need to adopt the fact that cloud spending matters to both CTO and CFO, it becomes a problem that multiple teams must work through together. As a result, the term FinOps, a combination of DevOps and finance, describes the cultural practice of collaborating on cloud financial management.

The CFO and the CTO of any company will always have a slightly adversarial relationship. When it comes to cloud adoption, this dynamic can be particularly conspicuous. While most high-growth companies will agree that cloud adoption is a strategic priority, many discover that their CFO and CTO have very different ideas about how this should be accomplished. As generally, the CFO sees an opportunity for cost savings, and the CTO sees an opportunity for innovation. 

To know about the concept of FinOps in detail:

FinOps: The Modern Financial Management Strategy

The Adoption of Product-Led Growth and Usage-Based Pricing

The logical outcome of the enterprise market’s transformations over the past few years is the connection between cloud spending and strategic decision-making, two of which are the rise of product-led growth and usage-based pricing.

As a new way of thinking about products that are more customer-centric and growth-driven, product-led growth has made its mark in the enterprise software world. It drives accelerated adoption and long-term customer retention. Now, we’re seeing organizations implement product-led strategies to drive their growth plans forward. 

Do you know the relationship between Product-Led Growth and Cloud Costs? 

Product experiences are becoming an important component of the purchasing process, sometimes with ‘freemium’ options such as introductory, limited-edition, or free trial periods. Customer Acquisition Cost (CAC) is not a marketing cost because users are using a freemium version to access the product, so the overall money spent on coverage and marketing is quite minimal. Instead, the cost saved here is used to run features in the cloud over the freemium pack, making PLG directly proportional to cloud costs, as everything is running on the cloud for free.

Usage-based Pricing is a cost structure where you pay for the services you use. It’s not based on an upfront fee or a fixed monthly subscription fee. Instead, it charges you based on how much of a service you use over a given period. For example, in an SQL Azure instance, usage-based pricing might be measured in gigabytes used or the number of computing minutes used. 

In the case of Usage-Based Pricing, you should be completely aware of how many resources are used in a product line, costing some amount of money, and also ensure that you are not expending more resources behind a single customer, you should be aware of whether that customer is a liability or an asset, and how it affects the company’s profitability. This is what cloud cost management does; it aligns the cloud cost with the company’s business metrics, which provide an overall reflection of the company’s gross margins and total profit.

Therefore, to sum it up Cloud usage-based pricing is a common pricing model that aligns cost directly to the number of resources that an organization uses. Usage-based models are more tailored to services based on a resource rather than a user.

The modern era of Multi-Cloud

Cloud expenditure management is an ongoing concern, while infrastructure automation technologies are becoming increasingly vital, especially for provisioning and application deployment. 

Hybrid or multi-cloud cloud architecture is the dominant cloud architecture for a variety of reasons, including avoiding single-vendor lock-in and the requirement to select the right ‘home’ for varied digital transformation initiatives.

The emphasis is now on overcoming the many challenges to effective multi-cloud implementation, including expertise shortages and changes in workflow between cloud systems.

It Does not end at FinOps

Cloud cost-management solutions have been able to draw two major issues: cloud operations and financial operations (FinOps). To improve end-user visibility and ownership of decisions, resulting in hopefully smarter choices.

In recent years, there has been a new wave in the startup market, with the next generation of startups doing an excellent job of forecasting spending on a per-release basis as part of a developer’s CI/CD pipeline.

Cost management solutions are now being linked to developer workflows via CI/CD and pull requests (PRs) to show the cost impact of specific changes prior to deployment. This increases visibility for the end user and improves ownership of decisions, resulting in hopefully smarter choices.

With cloud-based solutions and AI, the adoption of DevOps practices has never been stronger. These have become essential to businesses striving to deal with new software releases in a tight time frame and intense market competition. With that, we’ve also seen a growing number of tools for automating, streamlining, and monitoring these processes. As a result, it has become possible to optimize software development cycles even further than before.

The idea of cloud cost observability meeting automation is appealing and therefore there’s plenty of room for cloud management to evolve.


Cloud management is still in the early stages of its evolution. Over the past two years, we’ve seen exciting starts and big promises. The next decade will bring a lot more innovation and new approaches to how we think about cloud operations and the way we manage costs. Cloud management is one approach that can help organizations optimize resources, improve user experience, and reduce costs while still being able to give users access to the necessary tools and services.

The complexity of managing financial resources and operational spending in the cloud makes cost management essential to the success of a large-scale corporate deployment. FinOps plays a critical role in helping organizations attain financial agility and control. FinOps is a term that describes the practice of leveraging data and analytics for tactical cost-cutting decisions within the cloud environment. 

The need for a holistic approach to cloud spending is becoming increasingly pronounced. The adoption of multi-cloud strategies and hybrid cloud deployments are helping enterprises adapt to the rapidly evolving cloud market.

Cloud computing combined with optimization practices would undoubtedly improve enterprise metrics and capabilities. Aligning cost observability with automation is what firms should focus on. Observability increases visibility while requiring the least amount of work. What used to be done manually by human developers and IT operators is now automated. Observability begins to trigger automatic actions, allowing abnormalities to be spotted and cured before they cause any harm.

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