Amazon Reviews

1. CatherineColins

   · HR at CODESY · 7 months ago
   Just a okay experience

   Registration process is really hectic though once registered everything is smooth as expected. Huge collection of products but the shipping fees are high and taxes. Amazon should definitely change their UX its getting dull now. Customer support is on point but the sellers should be accounted for as i have been getting wrong products and seller starts ghosting, amazon helped me a lot anyways. I hope these will be heard

   👍 Pros:    Best customer service

   👎 Cons:    Reseller features
2. Julia

   over 3 years ago

   I will like it and I also recommend others to follow this platform. But there is no direct relationship with customers, high operating costs and no control over the refund policy

   🏁 Competitors: eBay

   👍 Pros:    Best customer support|best ui experience|easy to order and tracking
3. Mohit Gupta

   · Small Business Owner at SmokeHub · over 3 years ago
   Nice shopping experience with Amazon

   Amazon has best shopping experience with us. Everything in this platform is very nice. It provides best shopping experience in India, has provides biggest selections of products, books, software reach and shows best movies, latest podcasts music and everything is nice for us. I like Amazon and also refer others to follow that platform. But there is no direct customer relationship, has high operations cost and there is no control over return policies.

   🏁 Competitors: Flipkart, Myntra, Alibaba, eBay

   👍 Pros:    Best online shopping app in india|Best customer support|Best ui experience|Easy to order and tracking

   👎 Cons:    No control over return policies|No direct customer relationship|High operation costs|No opportunity for branding

Apache Kafka Reviews

Amazon mentions (2907)

• I solved a 5 year old bug

  To reproduce the bug locally, I had to visit https://amazon.com multiple times (up to 20 times) on my local PC so that I can get amazon.com to show up naturally on my New Tab page. - Source: dev.to / 8 days ago

• Why Your Browser Can't Use Multicast (And What Would Have to Change)

  Suppose one million users visit https://amazon.com at the same moment. Each of them gets:. - Source: dev.to / 17 days ago

• AWS Waddles: What the Duck?

  For over a decade, there's been a tiny ASCII duck hiding in plain sight. Open the page source for amazon.com, scroll all the way to the bottom, and there it is, surfing the web and quietly meowing at anyone who looks. - Source: dev.to / 2 months ago

• Selenium - A heart hunter technology along with python framework

  Test Scripts written by us write a program say for example: -Open chrome browser -Enter url https://amazon.com -Navigate to login page -Enter UserName. - Source: dev.to / 9 months ago

• Major AWS Outage Happening

  Can't log into https://amazon.com either after logging out; so many downstream issues. - Source: Hacker News / 10 months ago

Apache Kafka mentions (155)

• Building Kafka Producer-Consumer Using Go and Docker

  Kafka is a distributed streaming platform used to build real-time data pipelines and streaming applications. It allows producers to send messages to topics, which are then consumed by various consumers, making it ideal for event-driven architectures. - Source: dev.to / about 2 months ago

• 7 Free Tools for Data Pipeline Reconciliation and Cross-Source Validation

  Apache Kafka is the most widely used distributed event streaming platform and the standard transport layer for event-driven reconciliation architectures. - Source: dev.to / 3 months ago

• How to Build a Dead Letter Queue System for Reliable Data Processing

  For message-queue-based pipelines: RabbitMQ has native DLQ support through dead letter exchanges. Messages that exceed their retry count or their time-to-live are automatically routed to a designated DLQ exchange. Apache Kafka does not have native DLQ semantics, but the standard pattern is to write failed records to a dedicated topic (-dlq by convention) and include the failure metadata in the record headers. - Source: dev.to / 3 months ago

• Idempotency in Data Pipelines: How to Prevent Duplicate Records

  Upsert with timestamp tracking. Keep the upsert approach but track which time windows have been fully processed. On retry, skip windows that are marked complete and reprocess only windows that failed mid-run. The Kafka documentation covers offset management patterns that implement this for stream-based pipelines. - Source: dev.to / 3 months ago

• Real-Time Fraud Detection in Java with Kafka Streams and Vector Similarity

  Apache Kafka allows the payment service to publish a transaction event to a topic, without knowing who will consume it. The fraud service, the notification service, and any other interested component can subscribe to that topic independently:. - Source: dev.to / 3 months ago