Aditya S

DevOps Engineer Backend Engineer At IBM

Bengaluru, Karnataka, India
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Summary

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Rockstar
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Aditya S is a DevOps and backend engineer with over a decade in IT, currently building resilient cloud-native platforms at IBM. He combines deep hands-on expertise in Kubernetes, Nomad, AWS ECS, Jenkins, Ansible, Helm and CI/CD design with development skills in Go, Python and Django. His operational focus extends to monitoring stacks like TIGK and contributions to high-profile open-source projects such as grafana/loki, where he improved readiness probes and added pipeline unit tests for promtail. Comfortable across SQL and NoSQL stores and core cloud services, he brings practical systems thinking from infrastructure to application. Trained in software systems after an engineering start, he uniquely blends mechanical-engineering rigor with software craftsmanship. Based in Bengaluru, he’s known for improving observability and reliability in production systems through code and automation.
code11 years of coding experience
job6 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookBachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at Visvesvaraya Technological University
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Stackoverflow

Stats
683reputation
61kreached
8answers
11questions
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Github Skills (19)

go10
prometheus10
logging10
devops9
docker8
kubernetes-pods8
cicd8
dockers8
kubernetes8
testing8
forecast6
docker-network6
forecasting6
docker-machine6
servlet6

Programming languages (6)

TypeScriptJavaGoGo TemplateRubyPython

Github contributions (5)

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grafana/loki

Dec 2018 - Jan 2023

Like Prometheus, but for logs.
Role in this project:
userBackend & DevOps Engineer
Contributions:37 reviews, 55 commits, 67 PRs in 4 years 1 month
Contributions summary:Aditya primarily contributed to the development and maintenance of the Loki project, with a focus on improving the system's operational aspects. Their work included implementing readiness probes for key components like the Distributor and Querier, enhancing the system's resilience and monitoring capabilities. The user also addressed a parsing issue, and added pipeline unit testing to the promtail component, focusing on ensuring quality and improving the logging pipeline. They are also working on the integration of the Logstash plugin.
prometheuslokigrafanaloggingcloudnative
adityacs/loki

Dec 2018 - Apr 2023

Like Prometheus, but for logs.
Contributions:443 pushes, 67 branches in 4 years 4 months
loggingprometheusmetricsmonitoringlogs
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