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Yury Akudovich

PROFILE

Yury Akudovich

Ya worked extensively on the matter-labs/zksync-era repository, delivering robust autoscaling, observability, and CI/CD solutions for the prover stack. Over 13 months, Ya unified and optimized autoscaler logic, introduced S3-compatible storage, and enhanced GPU support, leveraging Rust, Docker, and Kubernetes. Their work included modularizing backend components, refining Prometheus-based monitoring, and enabling local and cloud deployments with streamlined Docker and GitHub Actions workflows. By addressing reliability, performance, and deployment challenges, Ya improved resource utilization and reduced operational risk. The engineering demonstrated depth in distributed systems, system programming, and DevOps, resulting in maintainable, scalable infrastructure for zkSync’s production workloads.

Overall Statistics

Feature vs Bugs

83%Features

Repository Contributions

55Total
Bugs
6
Commits
55
Features
30
Lines of code
10,759
Activity Months13

Work History

January 2026

2 Commits • 2 Features

Jan 1, 2026

January 2026 Highlights: Security and scalability improvements across two Matter Labs repos. zksync-sso: CI/CD Security Enhancement for npm Publish (OIDC Trusted Publishers) — migrated the CI pipeline to OIDC trusted-publishers, updated action versions, and added provenance to npm publish to ensure package integrity. zksync-era: Autoscaler Aggressive Mode for Resource Shortages — introduced aggressive mode to the prover autoscaler to schedule missing pods across all pools, speeding pod readiness during resource constraints. Impact: stronger supply-chain security, faster and more reliable deployments under pressure, and improved resource utilization for zk proofs. Technologies/skills demonstrated: OIDC-based authentication, CI/CD automation, npm provenance, Kubernetes-like autoscaling, distributed resource orchestration, and code quality practices (tests/docs updates and formatting).

October 2025

5 Commits • 2 Features

Oct 1, 2025

Oct 2025 delivered targeted reliability and deployment improvements across two repos. Key items: Prover Autoscaler bug fix that isolates scale errors per pool to prevent cross-pool disruption; expanded Prover CI GPU coverage by migrating to unified GPU runners and adding CUDA_ARCH support with end-to-end tests for all CUDA architectures; Docker image was improved by setting WORKDIR to /app to ensure genesis is accessible by default. These changes improve production reliability, broaden GPU compatibility, and streamline deployment and onboarding for users with varied GPU hardware and deployment needs. Technologies include GPU CI/CD, CUDA architectures, Docker image optimization, and test automation with strict formatting and linting.

August 2025

1 Commits

Aug 1, 2025

August 2025 (2025-08): Prover Autoscaler reliability improvements in matter-labs/zksync-era. Implemented sticky scale error accounting within scale_errors_duration to ensure recent errors inform scaling decisions and prevent stale errors from driving scaling events. This targeted bug fix enhances autoscaler stability and predictability for capacity planning.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025 - Matter-labs/zksync-os-server: Implemented a GitHub Actions CI/CD overhaul introducing a new build workflow that sets up the build environment, generates a unique image tag, and builds/pushes Docker images for core components. Removed the older staging deployment workflow and realigned CI with deployment for faster, more reliable releases. Commits included: fd2935c0278a48d3b6deded26c7e770f41d0f4c3 (ci: Add build workflow (#50)) and 5df2b244f9154e7543339a9456f15c4b5fcfbf19 (Fix build workflow (#56)).

June 2025

8 Commits • 3 Features

Jun 1, 2025

June 2025: Delivered reliability, observability, and local-testing enhancements for matter-labs/zksync-era. Focused on stabilizing the prover stack, improving autoscaling behavior, standardizing Prometheus integration, and enabling local end-to-end testing. These changes reduce operational risk, improve resource efficiency, and accelerate development cycles.

May 2025

5 Commits • 2 Features

May 1, 2025

May 2025: Major autoscaler enhancements for the prover in matter-labs/zksync-era, plus CI cleanup. The changes strengthen resilience, accuracy, and observability of the prover autoscaler, while simplifying the CI workflow.

April 2025

5 Commits • 4 Features

Apr 1, 2025

In April 2025, the zksync-era prover delivered targeted reliability, scalability, and acceleration improvements across metrics, autoscaling, architecture, and hardware support. These changes improved observability, ensured stable operation under zero-load conditions, reduced maintenance burden, and enabled CUDA-enabled GPUs (H100) to be used for prover workloads. All work aligns with business goals of reliability, cost efficiency, and performance at scale.

March 2025

9 Commits • 4 Features

Mar 1, 2025

March 2025 (matter-labs/zksync-era): Focused on performance, reliability, and storage flexibility. Delivered autoscaler unification with refreshed metrics, introduced S3-compatible object store, optimized Docker images, and fixed CI/toolchain and setup-data access issues to stabilize deployments and reduce maintenance overhead. These changes improve cluster reliability, deployment velocity, and storage options for provers and snapshots.

February 2025

2 Commits • 2 Features

Feb 1, 2025

February 2025 monthly summary for matter-labs/zksync-era focusing on GPU Checker tooling for the prover and related deployment/docs enhancements, with measurable impact on testing efficiency and deployment readiness.

January 2025

2 Commits • 2 Features

Jan 1, 2025

January 2025: Delivered two core features for matter-labs/zksync-era focused on CI/CD efficiency and observability. Implemented CI/CD build cleanup to remove obsolete components, rename workflow, and update references to streamline builds and reduce maintenance. Enabled Prometheus Pushgateway support for Witness_generator with startup visibility and precedence of the push gateway URL over the listener port. No major bugs fixed this month. These changes reduce maintenance, shorten build times, and strengthen metrics reliability.

December 2024

3 Commits • 2 Features

Dec 1, 2024

December 2024 monthly summary for matter-labs/zksync-era: Delivered CUDA toolkit upgrades and CI optimizations that bolster GPU reliability, accelerate builds, and reduce deployment risk. Key features include upgrading the circuit prover CUDA toolkit to 12.4 with automated GPU verification artifacts, and CI simplifications that remove outdated CUDA_ARCH values to cut build times and binary sizes. These changes improve GPU debugging, shorten iteration cycles, and improve overall maintainability of the zksync-era codebase.

November 2024

7 Commits • 4 Features

Nov 1, 2024

November 2024: Prover Autoscaler enhancements for matter-labs/zksync-era focusing on performance, reliability, and maintainability. Key deliveries include: modular autoscaler refactor and single HTTP client lifecycle (commits: 1b33b5e9ec04bea0010350798332a90413c482d3; 40f8123a67970efbba3519f7954f807958a76cff; 1bfff0e007e2fb5a4b4b885cf5c69a5cd290888b); environment autodetection from GCP metadata and deployment simplification (commit: bd32aecdf982c51202c1a69d12fcf1d878fe6d05); CI/CD standardization and documentation (commits: 5cea9ec6298cbe57bcd09553fd7f52e9c2566d44; 3404e2a520756dea9d0e9e89d995770453bbddec); and global minimum replica enforcement to ensure essential prover/witness pods run reliably (commit: bc00c4a44a212def3cc25567f3b271530d76b6a4). These changes reduce startup delays, improve scaling reliability, and lower operational overhead. Technologies demonstrated include Rust-based modularization, HTTP client lifecycle optimization with reqwest, Kubernetes autoscaler concepts, GCP metadata integration, and Docker-based CI/CD improvements.

October 2024

4 Commits • 2 Features

Oct 1, 2024

Month: 2024-10 — Concise monthly summary for matter-labs/zksync-era focusing on proving autoscaler scalability, observability, and CLI reliability. Deliverables improved scalability and reliability of the prover autoscaler, enhanced operational visibility through dashboards, and CI stability via a bug fix in autocompletion. These changes drive faster resource utilization, better analytics, and more stable release pipelines.

Activity

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Quality Metrics

Correctness90.8%
Maintainability89.4%
Architecture88.2%
Performance84.2%
AI Usage21.0%

Skills & Technologies

Programming Languages

DockerfileGoMarkdownProtobufRustShellTOMLTypeScriptYAML

Technical Skills

AWS SDKAutocompletionAutoscalingBackend DevelopmentBuild SystemBuild System OptimizationBuild SystemsCI/CDCLI DevelopmentCUDACargoCloud ComputingCloud InfrastructureCloud StorageCode Cleanup

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

matter-labs/zksync-era

Oct 2024 Jan 2026
12 Months active

Languages Used

ProtobufRustShellGoMarkdownYAMLDockerfileTOML

Technical Skills

AutocompletionBackend DevelopmentCLI DevelopmentConfiguration ManagementDistributed SystemsKubernetes

matter-labs/zksync-os-server

Jul 2025 Oct 2025
2 Months active

Languages Used

YAMLDockerfile

Technical Skills

CI/CDDockerGitHub ActionsContainerizationDevOps

matter-labs/zksync-sso

Jan 2026 Jan 2026
1 Month active

Languages Used

ShellYAML

Technical Skills

CI/CDDevOpsNode.jsReact Native