4.8 out of 5 stars
(37 Ratings)
Chainstack provides a suite of APIs and software that empower countless businesses, regardless of their size, to develop, expand, and sustain blockchain applications effectively. Their APIs are designed with security in mind, featuring secure node connections and best practices for key management to ensure your data remains safe and under your control. You also have the capability to invite additional members to your network, allowing them to deploy their infrastructure effortlessly through user-friendly network management tools. With Chainstack, you can select and implement the blockchain protocol that meets your specific requirements, and it will remain unchanged for your use. Chainstack’s managed blockchain services simplify the processes of launching, joining, and scaling decentralized networks, making it accessible for users at all levels. The platform enables you to test out enterprise-grade tools and services with confidence before transitioning to a production environment. Additionally, ongoing monitoring and resource provisioning are provided to help you maintain optimal performance and efficiency. This comprehensive approach ensures that businesses can focus on innovation while relying on robust support from Chainstack.
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4.7 out of 5 stars
(3 Ratings)
Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet.
FinOpsly was built for that second set of questions.
It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer.
What teams use it for:
Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for.
Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure.
Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible.
Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served.
Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one.
Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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OpenCost
OpenCost represents a collaborative open-source project that remains impartial to vendors, aimed at tracking and distributing costs related to cloud infrastructure and containers in real time. Crafted by specialists in Kubernetes and supported by industry professionals, OpenCost sheds light on the frequently unclear expenditure patterns tied to Kubernetes usage. It provides various adaptable options for monitoring and allocating costs associated with cloud resources, thereby enabling precise showback, chargeback, and ongoing reporting capabilities. With its real-time cost allocation, users can trace expenses down to the level of individual containers, ensuring meticulous oversight of financial flows. The tool proficiently manages cost distribution for in-cluster resources, such as CPU, GPU, memory, load balancers, and persistent volumes, making it a versatile asset. OpenCost also incorporates dynamic asset pricing through integration with billing APIs from major cloud providers like AWS, Azure, and GCP, while offering customized pricing solutions for on-premises Kubernetes clusters. In addition to monitoring Kubernetes cluster expenditures, it has the capability to track costs from various cloud services related to object storage, databases, and other managed offerings. Moreover, it effortlessly works in conjunction with other open-source applications, facilitating the export of pricing data to systems such as Prometheus, which amplifies its effectiveness in cost management. As such, OpenCost emerges as an all-encompassing tool for organizations aiming to exercise robust oversight over their cloud expenditures while optimizing resource allocation strategies.
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Mavvrik
Mavvrik functions as an advanced platform designed to oversee expenses related to AI and hybrid infrastructures, offering a centralized location for finance, FinOps, IT, and engineering teams to manage GenAI, autonomous agents, GPUs, cloud environments, on-premises assets, Kubernetes, data platforms, and SaaS offerings. By integrating cost, usage, and telemetry information from leading providers such as AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, it creates a thorough source of truth for the entire technology landscape. Teams can carefully track model interactions, agent activities, GPU performance, and resource workloads, enabling them to allocate spending accurately across various parameters, including customer, product, feature, project, application, environment, team, or cost center. Mavvrik's detailed analysis of cost-to-serve and unit economics reveals margin declines, pinpoints expensive workloads, and clarifies the true costs associated with delivering each service. Moreover, its real-time anomaly detection and alerting functionality helps to identify unusual usage trends before they lead to unexpected budget overruns, while its predictive forecasting capabilities assist organizations in effectively planning their cloud, GPU, and AI-related expenses. This comprehensive strategy not only empowers teams to make well-informed financial choices but also optimizes resource utilization, paving the way for sustainable growth and enhanced operational efficiency. As a result, Mavvrik stands out as an essential tool for organizations seeking to maximize their investments in technology.
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