top of page

Risk-free optimization consulting, guaranteed results - Schedule your call today!

Want to know how to optimize your spending?: Estimate your saving here

Risk-free optimization consulting, guaranteed results - Schedule your call today!

Unleashing the Power of Cloud Automation: Strategies, Solutions, and the Future with Generative AI

Updated: Oct 22, 2023

Executive Summary:

Cloud automation emerges as an essential tool for managing IT infrastructure in hybrid and multi-cloud environments. This technology streamlines management processes and policies, improving consistency, scalability, and speed. Utilizing cloud automation and cloud optimization can significantly improve cloud cost visibility and reduce engineering overhead, allowing teams to focus on innovation and product development. Cloud Automation becomes all the more crucial when up to 30% of all cloud spending is wasted, essentially caused by idle cloud space ($14.5B) and over-provisioning ($8.5B).

In the context of containerized workloads and Kubernetes clusters, cloud automation simplifies provisioning, configuration, and management. Third-party solutions offer advantages for managing containers and ensuring seamless scalability across various cloud providers. Solutions such as or MemVerge deliver exceptional performance and ease of use. While open-source solutions are inexpensive, flexible, and offer customization and collaboration benefits, they may require more time and effort to implement and maintain. Tools like LeanerCloud's AutoSpotting aim to deliver the optimal combination by offering several enterprise-focused enhancements in addition to the freely accessible open-source community version.

Generative AI holds the potential to revolutionize cloud automation tasks, generating optimal infrastructure configurations, auto-tuning application performance, and intelligently scaling resources based on demand predictions. A notable application of generative AI applications is transforming natural language into Infrastructure-as-Code (IaC), making cloud computing more accessible to technical and non-technical users. However, organizations must address the challenges of integrating AI-driven automation with their existing IT infrastructure and processes to ensure reliability, reusability, and scalability. OptimNow introduces OptimNow GPT alpha, an AI-driven chatbot designed to improve cloud automation interactions and enhance efficiency for Cloud professionals and organizations.

Introducing Cloud Automation

Cloud automation is an essential tool for managing IT infrastructure, particularly in hybrid and multi-cloud environments. As the complexity of managing infrastructure, network, application, and user administration across on-site and cloud-based environments increases, cloud automation serves as a unified solution, streamlining hybrid and multi-cloud management under a single set of processes and policies to improve consistency, scalability, and speed.

Cloud orchestration involves organizing various cloud management tasks into higher-order, efficient workflows:

  • This method minimizes provisioning errors,

  • It facilitates better communication between applications and infrastructure, and

  • It enforces governance policies across hybrid cloud environments.

By implementing cloud automation, routine tasks such as scaling resources, managing backups, and deploying updates can be efficiently handled.

Utilizing cloud automation and cloud optimization can result in a significant reduction of engineering overhead by up to 50%. This allows engineering teams to focus on innovation and product development instead of managing cloud infrastructure.

As we delve deeper into the applications of Cloud Automation, it becomes evident that it can play an instrumental role in the management of containerized workloads and Kubernetes clusters.

Cloud Automation for Containerized Workloads and Kubernetes Clusters

In recent years, containerization has become a popular method for deploying applications, with Kubernetes emerging as the leading container orchestration platform. Containerized workloads offer numerous advantages, including enhanced

  • portability,

  • reproducibility,

  • scalability, and

  • resource efficiency.

As this technology becomes widely adopted, with either new or re-engineered software broken down in microservices, containers are growing at breakneck speed, with shorter lifespans -less than 50% of all containers outlive 1 day- that is when Cloud automation can play a vital role in managing containerized workloads and Kubernetes clusters, significantly improving their deployment and management.

Hyperscalers managed-services offerings for containers

Cloud Service Providers (CSPs) like Google Cloud Platform offer services for automating node provisioning, upgrades, and configuration. These services manage the lifecycle of Kubernetes clusters, ensuring that they are always up-to-date and running optimally. AWS also offers managed services such as Amazon ECR, Amazon ECS, and Amazon EKS to automate the management and scalability of Kubernetes clusters, allowing organizations to leverage the full potential of containerization. AWS Fargate offers an option to run containers serverless and offers numerous benefits, such as easy scaling, a pay-per-use model, simplified management, increased security, and reduced infrastructure overhead. However, it also comes with some inconveniences, including limited customization options, potentially higher costs compared to traditional solutions, vendor lock-in, a learning curve for new users, and latency issues during cold starts that make the solution unfit for demanding workloads.

Cloud Automation as an enabler of Hybrid and Multi-Cloud strategies

At the time of this blog publication, 76% of organizations have adopted a multi-cloud strategy. This number is expected to increase to 86% by 2024. Larger organizations are more likely to adopt a multi-cloud strategy: 94% of large enterprises (5,000+ employees) use multi-cloud infrastructure.

In the context of Hybrid and Multi-Cloud strategy, Kubernetes plays a crucial role in ensuring seamless orchestration and management of containerized applications across heterogeneous environments. Cloud automation simplifies the provisioning, configuration, and management of Kubernetes clusters, thereby reducing the complexity associated with these strategies.

Cloud automation third-party open-source solutions offer unified platforms for managing containers across multi-cloud and hybrid environments, promoting collaboration, innovation, and customization. However, they may require more effort to implement, maintain, and provide less support compared to proprietary alternatives, leading some software organizations to offer commercial solutions for better customer experience.

A solution like offers not only more polished and integrated products focused from the ground up on a seamless customer experience but also delivers superior performances. It is a comprehensive platform for Kubernetes automation, with

  • better cloud cost costs visibility across Kubernetes clusters -that an open source solution like Kubecost won't offer-,

  • the automation of resource provisioning for cloud cost optimization,

  • and security features to identify and remediate vulnerabilities.

Leveraging cloud-native technologies, containerization, and Kubernetes, effectively dismantles the proprietary barriers that typically separate various cloud platforms.

Heterogeneous Execution Environments

A key challenge in cloud automation with containerized applications is the heterogeneous nature of a multi-cloud setup as well as the finer-grained heterogeneity within execution environments itself. An application deployed in AWS interacts with different storage systems than a deployment in Google Cloud or even on-prem. And within an environment, a workload might be scheduled on different hardware architectures like AMD Zen4, AWS Graviton 2 or Intel Ice Lake processors. This implies that configuration within an application or the application itself needs to be tailored to the specific execution environment to get optimal performance.

Leveraging Third-Party Solutions to Tackle the Scalability Challenge

In today's rapidly changing cloud landscape, managing scalability efficiently across multiple cloud platforms can be a daunting challenge. Third-party solutions offer valuable support to overcome these challenges and drive effective scaling strategies.

Evaluating and comparing third-party tools is essential for organizations aiming to optimize their cloud infrastructure. By integrating these solutions with existing cloud environments, businesses can achieve seamless scalability and cost optimization. Third-party solutions can offer superior capabilities compared to native Cloud Service Providers' equivalent services.

Run any workload on Spot with AutoSpotting

Third-party solutions can be superior to CSP native solutions for cost optimization, especially when it comes to Spot instance management. Spot is commonly known as unused compute capacity offered at a discounted price to customers. Spot instances have the same characteristics as On-Demand instances but are preemptible. (Check the 'What is Cloud Automation' blog post for more details on the best mix of On-Demand and Spot).Tools such as LeanerCloud's AutoSpotting provide automatic conversion of Autoscaling groups to Spot with fall-back from Spot to diversified on-demand instances, a feature that cloud service providers are reluctant to offer natively. It also offers a more intelligent and flexible instance type selection that prioritizes new instance types for better performance.

This enables customers to run more workloads on Spot, mitigating the risk of Spot interruptions by facilitating that automatic fall back to On-Demand, for enhanced reliability when compared to a set-up with native CSP service.

High availability and Right-Sizing during Runtime for HPC-HTC workloads with MemVerge

Memverge offers SpotSurfer and WaverRider in its Memory Machine Cloud Edition platform to automate job execution in the cloud and guarantee 60% savings on compute costs.

  • SpotSurfer is an application continuity service that leverages the patented AppCapsule technology for checkpointing and restore service with cloud automation, enabling stateful workloads to run safely on Spot instances and have up to 90% in compute costs. This service ensures a seamless transition when Spot instances are reclaimed by the cloud provider, preventing disruption to stateful, long-running applications. SpotSurfer also offers the option to fall back automatically to On-Demand when Spot capacity runs short.

  • WaveRider addresses the challenge of "spikey" cloud workloads like High Performance Computing and High Throughput Computing jobs. With its dynamic resource allocation feature, WaveRider guarantees optimal performance and cost efficiency.WaveRider's intelligent monitoring system operates at the job level, providing real-time tracking of CPU and memory utilization. This enables automatic scaling up or down of resources during runtime while ensuring that workloads run continuously without interruption.

When used in conjunction with SpotSurfer, WaveRider becomes an indispensable tool for managing cloud resources. Together, they provide a powerful and cost-effective solution for ensuring the resiliency and efficiency of cloud-based workloads.

Memory Machine Cloud Edition's cutting-edge services offer unparalleled scalability and efficiency, making it the go-to solution for cloud-based applications that require optimal resource allocation. I recommend you try it and bring the performance of your cloud resources to the next level.

What the future holds: the impact of Generative AI on Cloud Automation

Generative AI is a subset of artificial intelligence that focuses on creating new data instances or models, simulating human-like creativity, and decision-making. As cloud automation continues to evolve, generative AI has the potential to revolutionize the way organizations manage and optimize their cloud resources.

What can Generative AI bring to Cloud Automation?

Examples of how generative AI can enhance cloud automation tasks include

  • the generation of optimal infrastructure configurations,

  • the auto-tuning of application performance, and

  • the intelligent scaling of resources based on demand predictions.


Among those use cases, the emergence of GPT for Infrastructure-as-Code is a notable one. Generative AI models, like GPT, can transform natural language into Infrastructure-as-Code (IaC), making cloud computing more accessible to non-technical users, and massively increasing productivity for experienced users, who can within hours build relatively complex solutions that would have previously needed multiple days or even weeks.

Readers who want to explore this topic should read this study where the author aims to develop an NLP system that generates code (IaC artefacts) using natural language queries. For example, a query of "create an s3 bucket and rds database and test that data is transferred between the two" should produce code that is close to being deployable into the cloud. This use case has been developed and called CloudGPT, That same use case is illustrated with this chatbot that understands natural language.

But not without Challenges

Although this approach offers promising advantages, generating IaC artefacts requires extensive expertise in infrastructure concepts and substantial software engineering experience to guarantee the reliability and reusability of the IaC code generated by AI models. Additionally, it will be challenging to ensure scalability when incorporating AI-driven automation into existing IT infrastructure and processes.

Empowering Cloud Automation: The Birth of OptimNow's GPT-Driven Chatbot

At OptimNow, we've spent countless hours pondering the most impactful way to harness the power of Generative AI technology. One day, as we gathered for a brainstorming session, a compelling real-life anecdote emerged – a story of a developer struggling to navigate the complexities of cloud automation. This moment of clarity inspired us to create a GPT-driven chatbot, transforming the way developers and organizations interact with cloud automation intelligence, making it more accessible, and efficient.

Enters OptimNow's cutting-edge GPT chatbot, OptimNow GPT Alpha, designed for Cloud Optimization, FinOps, Cloud Automation, and GreenOps! Our AI-powered assistant swiftly delivers accurate answers to all your cloud automation queries. Experience unparalleled efficiency and speed – try it now and share your valuable feedback to help us revolutionize the cloud automation landscape!


Cloud Automation is a game-changing technology that can significantly enhance the efficiency, scalability, and flexibility of your organization's IT infrastructure. By understanding the benefits and staying up-to-date with emerging technologies, your business can effectively harness the power of cloud automation.

If you're looking to discuss how cloud automation can propel your business forward and drive innovation, don't hesitate to reach out to OptimNow, their team of experts will be delighted to help you explore the potential of cloud automation tailored to your unique business needs.

Check 'What is Cloud Automation' blog post for more ideas and strategies on how to optimize your cloud usage

Big Thanks to Cristian Magherusan-Stanciu and Christian Kniep for the proofreading


bottom of page