What are the most common mistakes in cloud cost optimization?

(1) Not understanding your workload pattern and blindly moving everything to cloud (2) No analyzing your cloud usage pattern like a "Mirror" regularly to apply remediation like threshold setup/Dynamic on-off/archival/purging and so on (3) Not having orchestrator for loan balancing for various Cloud element across Hybrid setup to take advantages of Hybrid cloud (4) Not future proofing by not having multi-cloud setup

Common mistakes in cloud cost optimization include not fully understanding the pricing models, failing to right-size services according to actual needs, neglecting to turn off idle resources, overlooking the benefits of reserved instances or savings plans, not monitoring and managing costs continuously, and not utilizing budgeting and cost management tools effectively. These oversights can lead to unnecessary expenses and inefficient use of cloud resources.

Moving to cloud without considering modernisation/end of life remediation as part of the process. Not monitoring cost utilisation closely to avoid run-away consumption systems.

O simples fato de movimentar parte ou toda sua infraestrutura para a nuvem trás uma falsa sensa??o de que todo o ambiente está sendo gerenciado e controlado. é comum empresas cometerem esse erro e deixar de investir em ferramentas para monitoramento e otimiza??o do uso da infra. Muitas vezes a oferta quase que ilimitada de processamento, memória e armazenamento que as solu??es em nuvem oferecem faz com que os administradores relaxem e deixem de se preocupar com isso. Mas as aplica??es, assim como as bases de dados, continuam crescendo e tornando mais complexas, necessitando de mais recursos e consumindo mais créditos. é essencial uma boa gest?o e administra??o da sua infra em nuvem para buscar também otimiza??o de custos.

One of the biggest mistakes in cloud cost optimization is not tracking and monitoring how much cloud resources are being used and by whom. Without visibility into cloud usage, it is hard to identify and eliminate unnecessary or underutilized resources, such as idle instances, unused storage, or redundant backups

Hoje os grandes provedores de nuven, possuem uma gama enorme de incentivos para a ado??o de tecnologia. E muito importante ter conhecimento profundo dos programas de incentivos, tanto para a ado??o da nuvem quanto de moderniza??o. Outro ponto importante é utilizar a nuvem com sabedoria, utilizando o recursos certo na hora certa, n?o se apegar ha conceitos e sim na melhor tecnologia. Um bom parceiro encurta muito na hora buscar incentivos.

Controlar uma Opera??o Cloud é infinitamente mais tranquilo que qualquer outra opera??o, mais ainda temos falta de profissionais com profundidades no tema. Mas podemos pontuar algumas situa??es: Falta de monitora??o correta que demonstre onde est?o os desvios e pontos de oportunidades, analise para uso correto, falta de visibilidade para provisionamento, n?o fazer constantes analises dos custos com os armazenamentos.

Quando for optar por reserva de recursos em nuvem tome cuidado para entender se o provedor ou parceiro de suporte n?o vai colocar multa de saída do contrato. Muitos fazem isso como forma de evitar que o cliente utilize o servi?o por pouco tempo.

I've seen way too many organisations run totally on pay-as-you-go subscriptions. They know they can obtain advantages by locking-in longer-term commitments but struggle with analysis paralysis and do nothing ... except pay more. Look at the reserved instances, and also look at the spot instances. Further, check if your cloud provider has various funding options for projects too.

Simplesmente existem equipamentos/ sistemas que n?o possuem vantagem alguma em transferir para nuvem. Equipamentos de miss?o crítica, onde precisar ficar 24horas por dia com trafego, maquinas de DEV, e HOM, n?o analisar os gastos com dados, entre outros

I think sizing is main feature. We forget that there is difference between on prem hardware performance vs that of cloud as both have different architecture. The better the sizing, the best performance shall be there.

Most common mistakes in Cloud cost optimization are as follows 1) Ignore Budget alert set . 2) Not understanding the Consolidation billing part. 3) Unaware of reserve instance , spot & on-demand instances significance . 4) Skipping proper compute size based on application requirements.

A common mistake in optimizing cloud costs is neglecting to improve the performance of cloud applications and services. Poor performance can lead to increased expenses and negative impacts on user experience, satisfaction, and business revenue. To avoid this, IT teams should use performance tools, identify and address issues, and implement optimization best practices.

Not optimizing cloud performance can significantly hinder your ability to achieve cost efficiency, ensure optimal performance, and maintain a secure and reliable cloud environment. By prioritizing optimization efforts, you can unlock the full potential of your cloud investment and gain a competitive edge.

Proactively monitoring new product families introduced by cloud providers is essential for optimizing cloud resources and reducing costs. Staying informed about emerging trends and features is crucial for creating an upgrade plan that translates to less expensive and more efficient infrastructure. This, in turn, improves workloads, cloud processing hours, and costs.

Always start with value. Architecture should be the result of the value your program is being funded to deliver. Skipping this step carries the risk of your program latter being defunded due to the value not being understood.

In countries where the internet costs exceeds the savings of cloud usage makes the decision to move to the cloud very tricky and unjustified.

Aligning cloud cost with business value requires a clear understanding of the organization’s short-term and long-term objectives. Cloud resources should be utilized efficiently and costs are justified based on the value they provide. Provide visibility into cloud costs for business units and stakeholders. Establish KPIs that directly tie IT costs to business outcomes (metrics like cost per customer acquisition, revenue per user, or ROI on IT investments) Implement Chargeback or Showback models. Both models create accountability and awareness. IMO, having a well-thought-out strategy and better decision-making regarding IT investments helps to align cloud cost with business value.

Reducing cloud costs is failing to connect those expenses with what the business gains. It's not just about spending less—it's about showing how cloud services help generate revenue, foster growth, innovate, or enhance customer satisfaction. To avoid this, businesses need tools to break down costs and relate them to business goals. Additionally, they should engage in conversations with business leaders to find effective ways to save money while still reaping the benefits of cloud services.

Common mistakes in cloud cost optimization include neglecting unused resources, lacking monitoring, incorrect resource sizing, not leveraging reserved instances, inefficient data transfer, misconfigured auto-scaling, poorly managed storage, overlooking spot instances, and neglecting tagging strategies. Ignoring vendor discounts and promotions can also lead to missed savings. Regularly reviewing and optimizing resources is crucial to ensure cost-effectiveness in cloud environments.

There is no magic in the tools. Your regular standardized activities can and should be automated. Yet how far could you go? With IaaS it may be better not to resize a VM to a cheaper family, if you are underusing reservations for another family. Similar things happen to other resources. I am not aware of any tool that could replace your knowledge of the business or your understanding of operations in your company.

Managing cloud expenses isn't something that's done once and forgotten about—it's an ongoing task that requires regular attention. But doing it all manually? It's tedious, prone to errors, and not very efficient, especially as cloud setups become more complex. Instead, automation tools can handle tasks like alerts, reports, budgeting, and resource management. This saves time, reduces mistakes, and keeps everything running smoothly.

Manual optimization processes are time-consuming and prone to errors. Automating cost optimization tasks, such as resource scheduling, scaling, and rightsizing, can significantly improve efficiency and cost-effectiveness.

Utilization of resource is not at par with the committed resources reserved from cloud provider, this can cause a significant cost impact to the overall infrastructure costing.

In my view cost optimization starts before moving to the cloud. Teams need to assess the existing on-prem infra to ensure whether the migration is aligned with business objectives or not. Second, teams need to identify post movement what kind of other cloud services would be required to manage the existing workloads and how much it's going to cost.Also, correct sizing of workloads is a crucial element, in case not correctly done, it may derail your projected budgets. Regualr monitoring of resources utlization and then tweaking the resources utlization. For small deployments, it could b manual monitoring but if it's enterprise businesses then it should be monitored through tools like cloudzero, Virtana optimize and Apptio cloudability

It's not that hard to identify cost optimisation opportunities, many of them come out of the box from the cloud providers. In my experience, most companies don't allocate enough time to development teams to implement the recommendations. Pushing out product is good, but often there can be a bigger impact on the bottom line by allocating 10-20% of their time to workload optimisation.

You should also examine specific products costs. For example: 1. EKS has costs for AWS extended EKS support. If it's not needed, you can save money there. 2. AWS endpoints - by utilizing vpc endpoints for s3, ec2, etc - you can cut down major costs cause the traffic routes internally and not over the public network.

I've had success optimizing GKE related costs by reducing multiple load balancers to a single one using an Nginx ingress controller for L7 routing. This change, considering each GCP internal HTTP load balancer costs at least $55/month, significantly cut our costs: instead of creating a load balancer for each service, there's only one pointing to nginx. It simplified our infrastructure, highlighting the importance of reviewing and optimizing cloud resources for savings and efficiency. A strategy worth considering for effective cloud cost management.

It should be an ongoing journey to keep a very close watch on your cloud costs in order to utilise the environment optimally. Here are the common mistakes listed below : - No governance, as it can help in identifying and addressing business oriented utilisation based on historical trends/ future demand. - Zero automation in execution and adoption of multi cloud architecture, as it provides a significant advantage. - Reactive monitoring and analysis, as proactive monitoring keeps you ahead of the curve - Lack of robust change management procedures combined with velocity in execution. - Not exploring latest volumes, savings plan and reservations. - Not challenging surplus/ excess resources and ignoring latest technologies.

1. Lack of resouce planning and provisioning? based on actual needs. 2.Not taking advantage of available cost optimization tool to monitor and analyze cost usage & identify optimization opportunities. 3.Not looking for mundane tasks Automation opportunities and not having strategy for rightsizing resource to match workload demands. 4.Not following and Implementing right resource tagging management practices for better cost visibility. 5.Keeping redundant and Duplicate Data/snapshots and not having regular clean up strategies 6. No proper utilization strategy while using Serverless services 7.Not eliminating extra Cloud services that's not been used 8.Not setting storage life cycle strategy 9.Not following proper architecture design