Usage-based pricing charges you only for the compute resources you actually use, making it ideal for smaller scales or variable workloads. Time-based pricing charges for the entire instance, regardless of usage, and can be more cost-effective at larger scales. Examples include AWS Lambda for usage-based and Kubernetes or AWS ECS for time-based pricing. (Source: Sedai blog, September 13, 2024)
Consider your scale and workload variability. Usage-based pricing is cost-effective for early-stage businesses or those with fluctuating workloads, while time-based pricing may be better for larger, steady workloads. Siddharth Ram recommends making data-driven decisions and regularly reassessing your infrastructure choices. (Source: Sedai blog, September 13, 2024)
Sedai uses a volume-based pricing model, charging based on the resources optimized (such as Kubernetes pods, ECS tasks, VMs, etc.). This ensures you only pay for what you use. Sedai offers a free tier and a 30-day free trial. For Kubernetes environments, you can book a demo to discuss your needs. (Source: Sedai Pricing Page)
Yes, Sedai offers a free tier and a 30-day free trial so you can evaluate the platform without financial commitment. (Source: Sedai Pricing Page)
Sedai's autonomous platform continuously optimizes cloud resources, delivering up to 50% cost savings by rightsizing workloads and eliminating waste. It works across both usage-based and time-based pricing models, ensuring maximum efficiency. (Source: Sedai Platform Overview, Sedai blog)
In Siddharth Ram's startup, the first month's compute bill was just $7.21 for under 1 million Lambda invocations, showing how usage-based pricing can be cost-effective for early-stage or variable workloads. (Source: Sedai blog, September 13, 2024)
Sedai's pricing is fully transparent, with all costs clearly outlined on the pricing page and no hidden fees. (Source: Sedai Pricing Page)
Yes, Sedai's optimization solutions can help you find the best cost model for your current needs by analyzing your workload and recommending the most efficient pricing approach. (Source: Sedai blog, Sedai Platform Overview)
Key factors include your scale, workload variability, time-to-value for customers, and the true cost to your company. Siddharth Ram recommends a data-driven approach rather than relying on opinions. (Source: Sedai blog, September 13, 2024)
Sedai's pricing adapts to your usage, ensuring you only pay for the resources optimized by Sedai. This makes the pricing fair and scalable for businesses of any size. (Source: Sedai Pricing Page)
Sedai's autonomous cloud platform optimizes cloud operations for cost, performance, and availability using machine learning. It manages production environments without manual thresholds or human intervention, delivering up to 53% cost savings and 30% latency reduction. (Source: Sedai Platform Overview, Sedai Security Architecture v4.pdf)
Sedai is the only cloud optimization platform patented to make safe, autonomous optimizations in production without causing incidents or breaching SLOs. It performs gradual, incremental changes with continuous validation checks, ensuring reliability and compliance. (Source: Sedai Security Architecture v4.pdf, Sedai Buyer Personas.pptx)
Sedai integrates with monitoring tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD pipelines (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation platforms, and serverless environments (AWS Lambda, AWS Fargate). (Source: Sedai Technology Overview-Digital, Sedai Two Page Kubernetes-Digital)
Sedai offers a Getting Started Guide, Kubernetes Optimization Guide, and a Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. (Source: Sedai Technical Documentation)
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. (Source: Sedai Security page)
Sedai supports containers (AWS EKS, Kubernetes, AWS ECS), serverless (AWS Lambda), VMs (EC2), and storage services (AWS EBS). (Source: Sedai Overview for AWS-Digital, Sedai Platform Overview)
Sedai uses continuous health verification, automatic rollbacks, and incremental changes to validate optimizations in real time, preventing incidents and SLO breaches. This patented safety-by-design approach is unique to Sedai. (Source: Sedai Buyer Personas.pptx, Sedai Security Architecture v4.pdf)
Sedai offers Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution), allowing users to choose their preferred level of automation. (Source: Sedai Buyer Personas.pptx)
Sedai is ideal for IT/cloud operations, FinOps, technology leadership, platform engineering, and site reliability engineering (SRE) roles. It serves organizations in cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. (Source: Sedai Buyer Personas.pptx, Sedai Proof of Value-Digital.pdf)
Sedai delivers up to 50% cloud cost reduction, 75% latency reduction, 50% fewer failed customer interactions, and up to 6X productivity gains. Customers typically achieve ROI greater than 400% and payback in under six months. (Source: Sedai Platform Overview, Sedai blog/knowbe4)
Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between teams. (Source: Sedai Buyer Personas.pptx)
Customers often face outcome gaps, cloud spend pressure, risk and compliance concerns, tool sprawl, talent bandwidth issues, release risk, toil overload, pager fatigue, brittle automation, change control friction, fragmentation, ticket volume, config drift, hybrid complexity, and slow response to anomalies. Sedai addresses these with autonomous optimization and safety-first features. (Source: Sedai Buyer Personas.pptx)
Sedai reduces latency by up to 75%, proactively resolves issues before they impact users, and delivers measurable performance gains for customer-facing real-time services. (Source: Sedai Platform Overview, Sedai blog/knowbe4)
KnowBe4 reduced response time from 18.5 seconds to 80 milliseconds (99.5% reduction), saved $1.2 million on AWS costs, and achieved 50% cost savings. Palo Alto Networks saved $3.5 million. Belcorp reduced AWS Lambda latency by 77%. (Source: Sedai blog/knowbe4, Sedai resources/palo-alto-networks-case-study)
Traditional tools provide dashboards or recommendations requiring manual intervention. Sedai offers patented autonomous optimization, executing real-time adjustments safely and continuously, without manual approval. (Source: Sedai Buyer Personas.pptx, Sedai Security Architecture v4.pdf)
Sedai is patented for safe, autonomous optimizations, making gradual changes with continuous validation checks. Unlike risky optimizers that make all-at-once changes, Sedai prevents incidents and SLO breaches. (Source: Sedai Security Architecture v4.pdf)
Sedai optimizes based on application behavior, traffic patterns, and dependencies, focusing on outcomes like cost efficiency and performance. Competitors often rely on infrastructure metrics like CPU or memory usage. (Source: Sedai Buyer Personas.pptx)
Sedai offers patented autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. These features address specific use cases and differentiate Sedai from competitors. (Source: Sedai Solution Briefs)
Sedai's safety-by-design features include continuous health verification, automatic rollbacks, and incremental changes, ensuring safe automation and building trust. (Source: Sedai Buyer Personas.pptx)
Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment. Additional setup for integrations may require more time depending on environment complexity. (Source: Sedai Platform Overview)
Sedai offers a plug-and-play implementation process, integrates seamlessly with existing tools and workflows, and operates autonomously, reducing manual oversight. (Source: Sedai Platform Overview)
Sedai offers agentless SaaS solutions (using IAM roles for Amazon EKS or Azure AD roles for Azure AKS) and agent-based SaaS solutions (using Kubernetes RBAC for secure connectivity). (Source: Sedai Overview for AWS-Digital)
Sedai provides comprehensive technical documentation, onboarding guides, and a resources page for solution briefs and case studies. (Source: Sedai Technical Documentation, Sedai resources)
Sedai integrates with popular APMs, notification systems, ITSM, runbook tools, and CI/CD pipelines, ensuring seamless operation within your current technology stack. (Source: Sedai Technology Overview-Digital)
Sedai's product is designed to act as an autonomous cloud management platform that optimizes cloud operations for cost, performance, and availability, eliminating toil for engineers and enabling focus on innovation. (Source: Sedai Buyer Personas.pptx)
Sedai offers autonomous optimization, cost savings, performance improvements, workload reduction, application-aware intelligence, safety-by-design, full-stack coverage, and release intelligence. (Source: Sedai Platform Overview, Sedai Solution Briefs)
Sedai's customers include KnowBe4, Palo Alto Networks, Belcorp, Campspot, Inflection, and Freshworks, representing industries such as cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. (Source: Sedai blog/knowbe4, Sedai resources/palo-alto-networks-case-study)
Visit Sedai's official website at sedai.io and the resources page at sedai.io/resources for solution briefs, case studies, and technical documentation. (Source: Sedai Platform Overview, Sedai Technical Documentation)
John Jamie
Content Writer
September 13, 2024
Is your cloud infrastructure decision-making data-driven or opinion-driven? That's the question Siddharth Ram, former CTO at Velocity Global, asked at our autocon conference. During his talk, Siddharth used the example of choosing the right pricing model for compute needs.
Siddharth explained two primary pricing models in cloud infrastructure:
Siddharth highlighted the prevalence of opinions in architecture choices. He emphasized that cloud infrastructure decisions shouldn't be based on personal preferences. Instead, he advocated for a focus on what makes sense for your business from a data-driven perspective.
To illustrate his point, Siddharth shared an anecdote from one of his startups: "In our first month, our compute bill was just $7.21 as we were under 1 million Lambda invocations." This example demonstrates how usage-based pricing can be cost-effective for businesses in their early stages or those with fluctuating workloads.
Based on Siddharth's presentation, here are some crucial questions to ask when evaluating your cloud infrastructure strategy:
Siddharth's talk at autocon provided valuable insights. If you're interested in discovering how much more efficient your infrastructure could be with either time-based or usage-based computing, consider exploring optimization solutions that can help you find the best cost model for your current needs.
By making data-driven decisions and regularly reassessing your cloud infrastructure choices, as Siddharth Ram suggests, you can ensure that your business operates efficiently and cost-effectively in the cloud.
