If you need a platform to help you manage resources and keep costs under control for your engineering team, LinearB is a good option. It's an integrated system for managing costs and resource usage, automating routine work and monitoring project progress. With tools like developer productivity tools, project forecasting and DORA metrics, LinearB gives engineering managers a data-driven approach to optimizing team performance without requiring major changes to existing processes or tools.
Another option is DevDynamics, which offers real-time metrics and AI insights to help teams optimize engineering capacity and get rid of busywork. It integrates with common tools like GitHub, Jira and GitLab, and offers features like DORA and SPACE benchmarking, persona dashboards and alert systems. It's designed to improve engineering velocity, quality and team health, and offers a free plan for up to 10 contributors and several paid tiers for more features and support.
If you're specifically looking to optimize cloud costs, nOps is worth a look. It helps customers reduce their AWS costs by up to 50% through automated cloud usage and cost optimization. With features like Compute Copilot, Commitment Manager and Cloud Optimization Essentials, nOps automates cost optimization work and offers cost and usage dashboards, so it's a good option for companies that struggle with cloud cost visibility and over-provisioning.
Last, Forecast offers AI-powered resource and project management to optimize project planning and resource utilization for the best financial results. It's designed to overcome common problems like bad planning and inefficient resource utilization with proactive resource management and real-time adjustments. Forecast integrates with existing tech stacks and uses AI-driven recommendations to ensure projects are delivered on time and maximize utilization rates, making it a good option for software and ecommerce companies looking to improve their project management.