Best Cloud Cost Management Software for Datadog

Cloudaware is a SaaS-based cloud management platform designed for enterprises that deploy workloads across multiple cloud providers and on-premises. Cloudaware offers such modules as CMDB, Change Management, Cost Management, Compliance Engine, Vulnerability Scanning, Intrusion Detection, Patching, Log Management, and Backup. In addition, the platform integrates with ServiceNow, New Relic, JIRA, Chef, Puppet, Ansible, and 50+ other products. Customers deploy Cloudaware to streamline their cloud-agnostic IT management processes, spending, compliance and security.

For companies that depend on a modern, multi-cloud infrastructure to power their SaaS customer experience, Yotascale enables dynamic cloud cost management with unmatched insights, accuracy, and time to value to help reduce their cloud spend by up to 50%. Unlike first-generation solutions that are hard to use and even harder to configure, and don’t give real-time, proactive insights, Yotascale delivers real value in the first few days, and every day thereafter, because we make it easy for the right people to take the right course of action at the right time to get cloud costs under control. At Yotascale, we make it easy for teams to take ownership of cloud costs with: 95% accurate, granular cost attribution that matches the way you do business; all-in-one support for multi-cloud and containers (including Kubernetes, ECS, AKS and more); and highly actionable scenario-based recommendations at the application, service and workload level that make optimizing cloud costs simple, efficient, and predictable.

The Grumatic method for reducing AWS expenses is straightforward. With just one click, you can activate measures that will enhance your cost efficiency effortlessly. This approach represents the most straightforward form of hands-off savings in the cloud. Given that each cloud environment has its unique characteristics, Grumatic offers tailored monitoring solutions along with real-time notifications. Understanding your expenditure is key to managing your costs effectively. Optimizing cloud expenses is not overly complex; it leverages the power of artificial intelligence. Our A.I. system identifies opportunities for savings and informs you of potential areas to cut costs. You’ll never have to deal with unexpected bills again. The Grumatic Anomaly Detection engine, driven by artificial intelligence, continuously oversees your cloud services in real-time. You will receive instant alerts if any irregularities arise, allowing for prompt corrective action. The most significant savings stem from adhering to established best practices. Grumatic features the most extensive library of best practices, encompassing over 80 real-world use cases. By simply clicking on suggested actions, you can modify your cloud settings and begin reaping the savings immediately, making cost management easier than ever before. Taking control of your cloud expenditures has never been more accessible.

Optimize your workloads for improved performance, lower costs and reduced response times - with no code changes needed Granulate will boost your app’s performance by adapting OS resource management to your individual workloads. Whether you’re using on-prem, hybrid or cloud, Granulate’s real-time and continuous optimization solutions will provide impactful results. Granulate is able to achieve autonomous, continuous workload optimization by following these 3 steps: LEARNING - Installed via Daemonset, Dockerfile or CLI, the agent passively learns your service’s data flows, processing patterns and resources contentions. OPTIMIZING - Once activated, the agent will immediately begin tailoring resource scheduling decisions to your service, resolving inefficiencies and increasing performance. REDUCING COSTS - Your workload’s performance gains are automatically leveraged to reduce cluster size and save on Azure compute costs. Granulate is simple to deploy and offers a “set it and forget it” user experience. With Granulate you get results effortlessly with no R&D efforts involved.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

Finout streamlines the billing from Cloud Providers, Data Warehouses, and CDNs into a comprehensive single invoice, providing an exceptional overview of your cloud expenses without the need for extensive setup. You can easily track irregularities, access tailored suggestions, and anticipate costs as your business expands. Unlike AWS, which bills based on instances, Finout allows you to focus on the actual costs associated with your pods. By integrating seamlessly without agents, you can leverage your current Datadog or Prometheus setups to gain detailed insights into pod-level spending quickly. Move beyond simply understanding total cloud expenses; instead, focus on the costs tied to your actual usage rather than just payments made. For instance, instead of analyzing EC2 instances and DynamoDB indexes, you can directly observe Kubernetes pods. Moreover, Finout fosters a shared vocabulary across your organization, benefiting not just the DevOps team but the entire company as well. This unified approach enhances collaboration and understanding across departments, leading to more informed financial decisions.

Cost Reports offer user-friendly dashboards that enable sophisticated reporting and filtering of accrued expenses. You can apply filters to observe daily cost patterns by service, business unit, tag, or account. Additionally, you can link intricate logic to meet any reporting requirement. The forecasts come with confidence intervals that update daily in response to your changing infrastructure, allowing you to gauge future costs effectively. Notifications regarding costs and trends can be sent to you via Slack, Teams, or email on a daily, weekly, or monthly schedule. You will also receive alerts for any cost anomalies detected. Autopilot assesses your EC2 workloads and procures three-year, no-upfront reserved instances to help you cut costs. You have the ability to specify which compute categories or regions Autopilot oversees. Furthermore, managing commitments and infrastructure adjustments becomes a seamless process, ensuring you stay on track with your budgetary goals. This way, you maintain full control over your cost management strategy while optimizing resource usage.

CloudCheckr unites IT, security, and finance teams around cloud. It provides total visibility, deep insights, cloud automation, and governance. CloudCheckr is a cloud management tool that helps businesses manage their cloud environments and protect their cost. AWS Advanced Technology Partner with Security and Government competencies and a certified Silver Partner for Azure, we can support multi- and hybrid-cloud strategies.

Each module can be used independently or together to create a powerful unified pipeline that spans CI, CD and Feature Flags. Every Harness module is powered by AI/ML. {Our algorithms verify deployments, identify test optimization opportunities, make cloud cost optimization recommendations, restore state on rollback, assist with complex deployment patterns, detect cloud cost anomalies, and trigger a bunch of other activities.|Our algorithms are responsible for verifying deployments, identifying test optimization opportunities, making cloud cost optimization recommendations and restoring state on rollback. They also assist with complex deployment patterns, detecting cloud cost anomalies, as well as triggering a variety of other activities.} It is not fun to sit and stare at dashboards and logs after a deployment. Let us do all the boring work. {Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment.|Harness analyzes logs, metrics, traces, and other data from your observability system and determines the health and condition of each deployment.} {When a bad deployment is detected, Harness can automatically rollback to the last good version.|Ha

IBM Apptio integrates financial and operational information into a cohesive model based on a widely accepted categorization of costs. By employing advanced allocation rules in conjunction with targeted metrics and key performance indicators (KPIs), we empower businesses to address critical inquiries concerning their investments and streamline their budgeting and forecasting procedures. This capability allows organizations to communicate investment rationales and deviations from plans more efficiently to stakeholders and executive leadership, ultimately leading to the identification of opportunities for optimizing cost structures, mitigating risks, and fostering growth. Furthermore, adopting a structured perspective on IT expenditures, both actual and projected, grounded in an established framework facilitates swifter ad hoc analyses and enhances budgeting cycles. By minimizing overall IT spending through the reduction of waste, elimination of redundancies, and alignment of investments with strategic goals, businesses can significantly cut down on the time allocated to forecasting. This approach not only increases the frequency of updates but also frees up resources, enabling a focus on higher-value initiatives that drive long-term success.

Pelanor is an innovative FinOps platform that leverages AI to cater to the needs of contemporary cloud environments, ensuring seamless integration across various cloud systems to illuminate organizational cloud expenditures. By providing contextual cost insights, it equips engineering, finance, and business leaders with the necessary tools to make well-informed choices. The platform identifies actionable opportunities by addressing major cost drivers and promptly resolving cost-related incidents before they worsen. Pelanor enhances understanding of how cloud spending correlates with business metrics, granting a holistic view of the factors influencing expenses and ways to optimize them. Its sophisticated cost allocation features promote accountability throughout the organization, allowing for accurate chargebacks. Furthermore, Pelanor's autonomous AI-driven approach simplifies cloud spending management and facilitates informed decision-making for leaders. The platform ensures comprehensive visibility into costs at intricate levels, such as individual queries or job executions, while offering tailored anomaly detection systems and detailed alerts. This level of granularity not only aids in precise financial planning but also helps organizations to proactively manage their cloud resources effectively.