Quais são as melhores ferramentas para monitorar e otimizar os custos da nuvem em tempo real?

⛅Essential for managing your budget and ensuring efficient use of cloud resources in real-time ⛅AWS Cost Explorer and AWS Budgets which offers detailed cost analysis, usage reports, and budget alerts ⛅AWS Cost Explorer is a user-friendly interface that enables you to visualize, understand, and manage your AWS costs and usage over time ⛅Offers forecasting capabilities to predict future spending based on historical data. ⛅AWS Budgets allows you to set custom cost and usage budgets, and receive alerts when your costs or usage exceed ⛅Simple setup process for creating and managing budgets.

Cost Visibility & Resource Utilization: Cloud Native Tools: Most cloud providers offer their own cost management tools like AWS CloudWatch, Azure Cost Management, and Google Cloud Cost Management. These provide good visibility into your spending within that specific cloud platform. Third-Party Tools: Tools like CloudHealth, Apptio Cloudability, and Densify offer multi-cloud support, giving you a consolidated view of your costs across different providers. They also go beyond basic cost visibility and delve deeper into resource utilization, helping you identify underutilized resources that can be optimized.

Azure Tools: Azure Cost Management and Billing: Native tool for cost analysis, budgeting, and alerts. Azure Advisor: Provides real-time recommendations for cost optimization. Other tools to consider: CloudHealth by VMware: Multi-cloud management with cost reporting and automation. Cloudability: Financial management for cost monitoring and forecasting. Spot.io: Optimizes costs using spot and reserved instances. ParkMyCloud: Automates scheduling of idle resources. CloudCheckr: Offers cost management, security, and compliance. Turbonomic: Focuses on application resource management and real-time optimization.

The best tools for monitoring and optimizing cloud costs in real-time include: 1) AWS Cost Explorer: Offers detailed insights into AWS spending with customizable reports and forecasts. 2) Azure Cost Management + Billing: Provides cost analysis, budgeting, and optimization recommendations for Azure. 3) Google Cloud's Cost Management Tools: Features cost breakdowns, budget alerts, and recommendations for cost-saving opportunities. 4) CloudHealth by VMware: Delivers multi-cloud cost management with detailed analytics and optimization strategies. 5) Spot by NetApp: Optimizes cloud infrastructure using automation to manage and reduce cloud costs effectively.

To effectively manage and optimize cloud costs in real-time, consider leveraging a combination of native and third-party tools. Start with built-in options like AWS Cost Explorer, Azure Cost Management, and GCP Billing for real-time visibility and basic optimization. For more advanced features, explore third-party solutions like CloudHealth, Cloudability, and Flexera, which offer multi-cloud insights, automation, and detailed analytics. The key is to choose tools that align with your specific needs, whether it's real-time tracking, automated cost control, or comprehensive reporting. Regularly review and adjust your strategies to stay ahead of cost overruns and ensure optimal resource utilization.

AWS Cost Explorer: Features: Visualizes AWS costs and offers budgeting tools. Optimization: Provides cost analysis and identifies savings opportunities. AWS Trusted Advisor: Features: Analyzes AWS accounts for cost optimization best practices. Optimization: Offers recommendations for reducing costs, such as identifying idle resources. CloudHealth by VMware: Features: Offers detailed cost analysis and budgeting for AWS. Optimization: Provides insights for optimizing AWS costs and resources.

Resource utilization is another big factor. Are you using your cloud resources efficiently, or are some sitting idle or overprovisioned? CloudHealth, Densify, and cloud monitoring services can analyze your utilization patterns. This data allows you to rightsized resources - scaling up what's overworked and scaling down or shutting off what's underutilized.

For Kubernetes, Kubecost was their ally, and AWS CloudWatch with Auto Scaling dynamically adjusted resources. Armed with these tools, they conquered cloud cost challenges.

Der Azure Advisor gibt dir Hinweise, wie du deine Kosten optimieren kannst. Er erkennt, wenn du deine Workloads überprovisioniert hast und gibt weitere Empfehlungen, wie bspw. Dir Nutzung von Saving Plans. Zudem kannst du mit Automation dafür sorgen, dass deine Services sich immer an die Begebenheiten anpassen. Ist der Bedarf hoch, skalierst du deine Services in die Breite, oder nach oben. Sinkt der Bedarf wieder, dann reduzierst du die Services. In den meisten Betrieben können durch Ausschalten, oder Downsizing über Nacht und am Wochenende eine Menge Kosten eingespart werden.

Optimizing cloud cost is directly proportional to efficient resource utilization. Effective utilization depends on how closely we monitor the system ( like monitoring CPU, memory, API response time, batch/standalone process run elapsed time) and take appropriate actions. Scaling consideration is also a key differentiator...like selection of horizontal or vertical or hybrid scaling.

For small users, from personal experience, create alerts based on a budget limit, place save points for your expenses in your private accounts so you don't have scares at the end of the month on your credit card bill

Budget Management & Automated Optimization: All the tools mentioned above allow you to set budgets and receive alerts when spending approaches your limits. Some like CloudHealth and Densify offer advanced features like automated recommendations for rightsizing resources (scaling them to meet actual needs) and automated actions to optimize costs based on predefined rules.

Budgeting is key for cost control. The cloud providers' tools and third-parties like Cloudability let you set budgets and track spending against those limits. They'll alert you when costs are creeping up so you can take action before they get out of hand.

When I first started using cloud services, managing my budget was a real challenge. My initial bill was much higher than expected because I didn’t set any spending limits. That’s when I realized I needed to get serious about budget management. One tool that really helped me was AWS Budgets. Setting it up was easy, and it let me create custom budgets for different parts of my project, like storage and compute resources. The best part was the email alerts I received when my spending approached the limits I set. Another great tool is MS Cost Management. It provided detailed reports, which helped me understand where my money was going. These tools made it easier to manage my spending and avoid nasty surprises at the end of the month.

I see an overwhelming number of companies invest in automating optimizations at the infrastructure layer (aka Kubernetes nodes, EC2s etc) while optimization/tuning at the application layer still remains manual. This dual approach does not work and inevitably incurs in service reliability or performance issues. Performance engineers/SREs can't keep up in tuning 100s or 1000s of microservices at a rate useful to the business. Fortunately solutions like Akamas, that automate tuning at scale, exist out there!

Automation can drive big savings by optimizing resource use automatically. ParkMyCloud can schedule start/stop times for non-prod resources when they're not needed. And auto-scaling features match resource provisioning to demand in real-time.

There are many tools that analyze the cloud environment and make recommendations. With spot.io, these recommendations are also implemented. I.e. - reschedule pods to underutilized nodes - enable autoscaler and add nodes - based on spot instances for workload - everything is fully automated In addition to resources optimization, Spot relies on the spot instances at the cloud providers and thus also optimizes the costs!

Performance Insights & Custom Reporting: While cost optimization is key, maintaining performance is crucial. These tools provide insights into how your cloud resources are performing, helping you identify bottlenecks or areas for improvement. Most tools offer customizable reporting features allowing you to tailor reports to your specific needs.

Performance insights ensure you don't degrade user experience while optimizing costs. Monitoring tools show metrics on app performance, so you can find the right balance.

Custom reporting tailors cloud cost analysis to your organization's specific needs - by project, team, etc. The reporting flexibility helps you optimize based on your business requirements.

Tableau, Power BI, and Google Data Studio, which empower organizations to extract actionable insights from their data efficiently.

Fight cloud cost overruns with real-time monitoring and optimization! Use built-in tools from AWS, Azure, GCP or explore third-party options like CloudHealth, Cloudability for multi-cloud insights and cost control. Pick a tool based on your cloud provider, desired features (real-time tracking, automation), and budget.

Additional to all cloud providers native tools I highlight komiser, cloud zero, kubecost, opencost, storm forge, cast.ai as really cloud native tools to monitor and take action over our infrastructure to save costs and optimize our cloud operations in finops model.

I've discovered that tools like AWS Cost Explorer, Google Cloud's Cost Management, and Azure Cost Management and Billing are invaluable for real-time cloud cost monitoring and optimization. They provide detailed insights into spending patterns, aiding engineers and executives in making well-informed decisions. Cost Explorer offers thorough breakdowns and forecasting, facilitating cost-saving opportunities. Integrating these tools with practices like Continuous Integration/Continuous Deployment (CI/CD) can further optimize resource usage and cost efficiency. Cultivating a culture of continuous improvement and collaboration through these tools can help organizations reduce expenses, drive innovation, and maintain a competitive edge.

If you are using Kubernetes in your environment Smart Scaler and KubeTally are both great solutions. Smart Scaler use precision AI to optimize pod autoscaling in realtime and provide your organization the appropriate information to for right sizing. KubeTally provides detailed information costs spanning across clusters, cloud regions, data centers, and hypervisors. Great for building chargeback models per namespace or micro-service.

Here's what else to consider: Ease of Use: A user-friendly interface is essential for efficient cloud cost management. Scalability: As your cloud usage grows, the tool should be able to handle the increased data volume. Security: Ensure the tool offers robust security features to protect your financial data.