Best Cloud Cost Management Software for Azure Kubernetes Service (AKS)

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.

CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more. What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized. The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine. CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure. Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.

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.

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

OpenCost is an open-source project that measures and allocates cloud infrastructure and container costs real-time. OpenCost, built by Kubernetes specialists and supported by Kubernetes professionals, shines light on the black box that is Kubernetes expenditure. Flexible, customizable cost allocating and cloud resource monitoring to ensure accurate showback, charging back, and ongoing reporting. Real-time cost breakdown by Kubernetes concepts down to the container level. Allocation of cluster resources such as CPU, GPU memory, load balancers and persistent volumes. Dynamic asset pricing through integrations with AWS Azure and GCP billing APIs, as well as support of on-prem Kubernetes Clusters using custom pricing. Costs outside of the Kubernetes Cluster, from cloud providers, such as object storage, databases and other managed services. Integrations with open source tools, such as easy exporting of pricing data to Prometheus.

CloudNatix connects to any infrastructure, anywhere. All your federated resources can be unified into one cluster-scale planet-scale cluster using an easy-to-use SaaS service. The global dashboard gives you a common view of operational and cost information across all your cloud & Kubernetes environments. This includes AWS, EKS Azure, AKS Google Cloud, GKE, AWS, EKS Azure, AKS Google Cloud, GKE, AKS, Azure, AKS and Google Cloud. The universal view across all clouds allows for you to drill down into details of each resource, including individual instances and namespaces across all regions and availability zones. CloudNatix offers a single cost-attribution view for all your public, private, and hybrid clouds. It also includes multiple Kubernetes clusters. CloudNatix automates costs that you assign to business units.

Kubernetes, cloud monitoring and managed Prometheus services. Sysdig Monitor makes it easy for you to find detailed information about Kubernetes environments. Bonus: We are fully compatible with Prometheus! You can view all Kubernetes details and troubleshoot Kubernetes issues up to 10x faster. Prometheus is now a managed service. You can scale quickly with integrated dashboards, alerts and integrations. Low-cost custom metrics can help you reduce wasted spending and save 40%. You can troubleshoot Kubernetes issues faster by creating a prioritized list, pod details, live logs, as well as remediation steps. Our managed Prometheus service cuts down on time Our scalable data store, automated service discovery and assisted integration deployment make it easy! Keep your Grafana and PromQL dashboards. You can easily customize any dashboard and dashboards are available right out of the box. Alerts can be easily configured and integrated into your alert management system.