Rayner Huamantumba
@Rayner1977
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Top 5 Kafka Use Cases Originally built for log processing, Kafka now powers a wide range of applications. Its durable message storage and flexible data access enables consumers to pull records at their convenience. Here are some popular Kafka use cases: - ππΌπ΄
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Data Pipeline Overview Data pipelines are a fundamental component for efficiently managing and processing data within modern systems. These pipelines typically encompass 5 phases: 1. Collect: Data is acquired from data stores, data streams, and applications. It is sourced
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What is DevSecOps? DevSecOps emerged as a natural evolution of DevOps practices with a focus on integrating security into the software development and deployment process. The term "DevSecOps" represents the convergence of Development (Dev), Security (Sec), and Operations (Ops)
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IBM MQ -> RabbitMQ -> Kafka ->Pulsar, How do message queue architectures evolve? πΉ IBM MQ IBM MQ was launched in 1993. It was originally called MQSeries and was renamed WebSphere MQ in 2002. It was renamed to IBM MQ in 2014. IBM MQ is a very successful product widely used in
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Why are Content Delivery Networks so Popular? The CDN market is expected to reach nearly $38 billion by 2028. Companies like Akamai, Cloudflare, and Amazon CloudFront are investing heavily in this area. There are several factors behind the popularity of CDNs 1 - The Impact of
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What are the differences between WAN, LAN, PAN and MAN? In the world of networking, different types of networks are defined based on their size, range, and purpose. The most common types of networks are WAN (Wide Area Network), MAN (Metropolitan Area Network), LAN (Local Area
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Life is Short, Use Dev Tools The right dev tool can save you precious time, energy, and perhaps the weekend as well. Here are our favorite dev tools: 1 - Development Environment A good local dev environment is a force multiplier. Powerful IDEs like VSCode, IntelliJ
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10 Good Coding Practices 1. Follow code specifications (e.g., "PEP 8", "Google Java Style") for consistent and readable code. 2. Document and comment code clearly and concisely, focusing on "Why" rather than "What". 3. Write robust code that handles unexpected situations and
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#AI Learning Cheatsheet #infographic from @InterestingSTEM βββββ #DataScience #MachineLearning #DeepLearning #DataScientist
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Top 10 Most Popular Open-Source Databases 1 - MySQL 2 - PostgreSQL 3 - MariaDB 4 - Apache Cassandra 5 - Neo4j 6 - SQLite 7 - CockroachDB 8 - Redis 9 - MongoDB 10 - Couchbase Which other database would you add to this list?
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A picture is worth a thousand words: 9 best practices for developing microservices. When we develop microservices, we need to follow the following best practices: 1. Use separate data storage for each microservice 2. Keep code at a similar level of maturity 3. Separate build
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