![]() ![]() Technologies: Python, Pytorch, OpenCV, C++, ONNX, Scikit-Learn, AWS, Azure, Tensorflow, Docker, GitHub, SQL Implemented a couple of services from scratch to finish using various technologies like Django, Machine Learning, OpenCV, docker, celery, Multithreading, AWS Lambda, etc. Have created many user-facing product features while working as a part of the Backend team in Lokal. Working to build and scale the product for the next billion users. Have a strong background in OOP, Data Structures and Algorithms, Machine Learning, and Blockchain Technologies.Ĭurrently working in a rapidly changing environment and maintaining the agility of systems. Proficient in working with C++, Java, and python.Ī team player, self-starter and able to work independently, and have precise attention to detail. A diligent professional, have a passion for continuous improvement and test-driven design plus innovative, big-picture thinking grounded in real-world pragmatism. I am incredibly passionate about writing clean code to deliver scalable, robust, and performant production software. I am an IIT Kanpur graduate with a passion for developing software solutions to creative problems. 7.Technologies: Django, Spring Boot, Postgres, Kafka, ELK, Redis, RabbitMQ, Cassandra/ScyllaDB, AWS and Tencent cloud, Docker, Kubernetes.Inspecting MySQL Server Status Variables.How InnoDB opens and flushes log and data files.Reserving memory for the operating system.Optimizing queries against partitioned tables.Full-Text Changes in MySQL 5.1 and Beyond.How Character Sets and Collations Affect Queries.Settings for client/server communication.The SQL Interface to Prepared Statements.How to Tune and Maintain the Query Cache.Limitations of the MySQL Query Optimizer.Are You Asking the Database for Data You Don’t Need?.Slow Query Basics: Optimize Data Access.A Mixture of Normalized and Denormalized.Inserting rows in primary key order with InnoDB.Comparison of InnoDB and MyISAM data layout.Indexing Strategies for High Performance.Troubleshooting MySQL Connections and Processes.Running the Benchmark and Analyzing Results.Finding Bottlenecks: Benchmarking and Profiling Bulletin boards and threaded discussion forums.The book also includes chapters on benchmarking, profiling, backups, security, and tools and techniques to help you measure, monitor, and manage your MySQL installations. Optimization of advanced querying features, such as full-text searches. ![]() New options for backups and replication.A detailed discussion on how to build very large, highly scalable systems with MySQL.Effects of new features in MySQL 5.0 and 5.1, including stored procedures, partitioned databases, triggers, and views.Thorough coverage of storage engines, including in-depth tuning and optimizations for the InnoDB storage engine.Emphasis throughout on both performance and reliability.This second edition is completely revised and greatly expanded, with deeper coverage in all areas. You'll also learn practical, safe, high-performance ways to scale your applications with replication, load balancing, high availability, and failover. Learn how to design schemas, indexes, queries and advanced MySQL features for maximum performance, and get detailed guidance for tuning your MySQL server, operating system, and hardware to their fullest potential. High Performance MySQL teaches you advanced techniques in depth so you can bring out MySQL's full power. Written by noted experts with years of real-world experience building very large systems, this book covers every aspect of MySQL performance in detail, and focuses on robustness, security, and data integrity. High Performance MySQL is the definitive guide to building fast, reliable systems with MySQL.
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