Best Cloud Cost Management Software for AppDynamics

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.

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

BMC Helix Cloud Cost. Optimize cloud costs and manage your budget. BMC Helix Cloud Cost optimizes multicloud resource costs, eliminating waste and preventing budget overruns. Get insight into cloud spending in public and private clouds. Predictive analytics and automated alerts can help you avoid budget over-runs. Automated optimization recommendations and actions can eliminate wasted expenditure. Self-service views empower budget owners and other stakeholders. Continuous cost optimization is crucial with so many cloud buyers. Which cloud services were purchased? What cloud services have been purchased? You will overspend if you don't do regular analysis and optimization of cloud resource usage. Terminate unused and inactive resources. Over-provisioned resources should be resized. Power schedules should be established for candidate workloads. Reserved instances can be effectively used. Automate optimization actions

BMC AMI Ops Automation for Capping. Automate workload capping to reduce risk and maximize costs. BMC AMI Ops Automation for Capping (formerly Intelligent Capping for zEnterprise), uses automated intelligence to manage MSU capacity settings that are business-critical to minimize operational risk, optimize costs, meet digital demand, and avoid operational risk. Automated management of capping limits to prioritize workloads, and optimize mainframe license costs. This can consume between 30-50% of your IT budget. To optimize your monthly software costs, dynamically automate MSU settings for defined capacity to reduce them by 10% or more. Reduce business risk by automatically managing and simulating changes to capacity settings based upon workload profile. By allocating MSUs to the highest priority workloads, you can align capacity with business demand. Patented technology allows for capping adjustments to ensure that business-critical services remain unaffected.