This article discusses the challenges faced during relational database migration to AWS using DMS, including source data, logging, and network bandwidth issues.
Rethinking the governance, lifecycles, and interdependencies of your machine identities is essential for eliminating secrets sprawl and reducing your attack surface.
A guide on how to build an AI browser agent using LLMs, Playwright, and Browser Use to automate web interactions, extract data, and navigate sites efficiently.
PostgreSQL table partitioning divides large tables into smaller segments to boost query performance, simplify maintenance, and enable scalable data management.
Jackson and Gson are popular JSON parsers for Java, but they handle edge cases like null values, type mismatches, and custom serialization differently.
OpenAI has introduced its new AI agent, Operator. See how it can streamline software testing, reduce manual effort, and enhance accuracy with automation.
LitmusChaos helps identify weaknesses in system resilience by injecting faults like pod deletion, network latency, and resource exhaustion into applications.
This year's Community Over Code keynotes highlighted a maturing open-source ecosystem tackling new challenges around security, regulation, and scalability.
Kafka is a famous technology with a lot of great features and capabilities. This article explains Kafka producer and consumer configurations best practices.
React transformed front-end development with its Virtual DOM, robust ecosystem, and continuous innovation — poised to stay the top choice for years to come.
Optimize Java retries with Spring Retry. Replace manual loops with @Retryable, add exponential backoff, and manage API, DB, and messaging failures easily.
Know how to build a simple and production-ready URL shortener running on Azure with serverless API using tools like Neon, Azure serverless, and Node.js.
The article provides an overview of Spring Boot starters, which are pre-packaged sets of dependencies that simplify adding functionality to Spring Boot applications.
Why are DQ checks critical for every data pipeline, and what are some of the different types of DQ alerts you can set up to enhance the reliability of your pipeline?
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