Alex Bublichenko
Staff Software Engineer at Stripe
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Bublichenko is a Staff Software Engineer based in New York with a 7-year track record of designing and operating high-scale, resilient metrics and tracing platforms. He has driven multi-fold scalability improvements and cost savings at Uber—scaling ingestion to billions of samples per second, automating cluster management across 130,000 cores, and improving query latency and durability. His work spans distributed systems reliability, efficient aggregator design, and access-control/security infrastructure from prior roles at Oracle and Microsoft. An active backend contributor to the prominent open-source M3 metrics project, he focuses on robustness features such as health checks, retry logic, and placement optimizations. Now at Stripe, he brings deep experience building production-grade, cost-efficient telemetry and distributed services while balancing operational automation and security compliance.
7 years of coding experience
16 years of employment as a software developer
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at University of WashingtonBachelor's & Master's Computer Science, Bachelor's & Master's Computer Science at Donetsk National Technical University
English
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (16)
databases10
tsd10
go10
database-administration10
admin10
aggregator10
metric10
database10
prometheus9
query-engine8
kubernetes-pods7
kubernetes7
ios6
graphite6
google-tag-manager6
Programming languages (4)
Github contributions (5)
m3db/m3
Sep 2020 - Jun 2022
M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:124 reviews, 10 commits, 22 PRs in 1 year 9 months
Contributions summary:Alex primarily contributed to the M3 database and aggregator components, evidenced by changes in `dbnode`, `aggregator`, and `client` packages. Their work involved implementing and refining core functionalities such as health checks, metric emission for data loss, and connection retry logic to improve data reliability. Additionally, the user addressed issues related to follower flush handling and placement compression to optimize system performance. These changes indicate a focus on enhancing the system's stability and efficiency.
monorepoprometheusquery-enginesidecarkubernetes
abliqo/jaeger
Jul 2023 - Sep 2023
CNCF Jaeger, a Distributed Tracing Platform
Contributions:5 pushes, 2 branches in 2 months
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