Mark Poko is an experienced software engineer with 11 years building full-stack solutions and a strong foundation in Computing and Business from NJIT. He currently focuses on synthetic monitoring at Grafana and brings deep JavaScript expertise alongside backend performance work. His open-source contributions to projects like opencost highlight a knack for optimizing query performance, cache behavior, and time-series accuracy for cloud cost monitoring. Comfortable in multidisciplinary teams, he blends practical engineering with product-minded problem solving to deliver measurable improvements. Based in New Jersey, he pairs steady technical execution with an eye for systems-level optimizations that reduce operational cost and improve observability.
11 years of coding experience
ComputerScience, ComputerScience at New Jersey Institute of Technology
Cost monitoring for Kubernetes workloads and cloud costs
Role in this project:
Back-end Developer
Contributions:11 reviews, 15 commits, 13 PRs in 2 months
Contributions summary:Mark's contributions primarily focused on improving the query performance and functionality within the `opencost` project. This included aligning start and end times with steps in range queries, which helped metric stores optimize caching, and fixing bugs related to time calculations. The user also added an environment variable to disable the cache and refactored the code to disable the aggregate cost model cache. Furthermore, they added a build info metric and implemented an endpoint to summarize the pricing source.
Prometheus Exporter for Cloud Provider agnostic cost metrics
Contributions:247 reviews, 85 PRs, 132 pushes in 10 months
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