Google Reviews

1. Moniza

   5 months ago
   Exploring Google: A comprehensive review of the search giant

   Google has been an integral part of my digital life for many years. Its search engine is unparalleled in its ability to fine relevant information quickly and accurately. The user-friendly interface and wide range of services make it a go- to for everything from email to navigation.

   🏁 Competitors: Bing, Yahoo, DuckDuckGo

   👍 Pros:    Google's search engine consistently delivers highly relevant results

   👎 Cons:    Google's data collection practices have raised privacy concerns among users, as the company collects vast amounts of personal information for targeted advertising.
2. Maham

   8 months ago
   My Search Companion

   Google is the most reliable source for me to find the correct information. Its user-friendly interface and speedy results make searching much easier. From answers to random questions and finding locations, Google has never let me down. Its the first app I turn to when I need information. Highly recommended

   👍 Pros:    Feature rich|Speedy performance|Intuitive user interface

   👎 Cons:    Minor glitches|Ads
3. The Lead Market

   almost 2 years ago
   Best Search Engine

   Best Search Engine

Apache Kafka Reviews

Google mentions (3698)

• Back2Basics: Monitoring Workloads on Amazon EKS

  Copy this JSON model and import it into our Grafana instance. This is similar to the steps above, but this time, instead of ID, we'll use the JSON field to paste the copied template. - Source: dev.to / 23 days ago

• SCSS Complete guide part one 🧡

  Link If the link is going to google means second has not been uploaded🧡. Might need atleast 5 stars ⭐ on this post.🤣. - Source: dev.to / 9 days ago

• Create your own react library

  When this code runs, it creates an anchor () element with the text "Click me to visit google", which links to http://google.com and opens in a new tab (target="_blank"), and appends it to the div with the ID root in the HTML document. - Source: dev.to / 11 days ago

• Python's many command-line utilities

  On Windows, you can do this from the run dialogue! [WIN]+R -> https://google.com. - Source: Hacker News / 28 days ago

• Is Gemini the End for ChatGPT?

  Future Outlook As the AI continues to evolve, competition between tech giants like Google and OpenAI will intensify. Users can expect more sophisticated conversational agents with enhanced capabilities across various platforms. OpenAI's ability to innovate and adapt swiftly will be critical in maintaining its relevance and competitiveness in the market. - Source: dev.to / about 2 months ago

Apache Kafka mentions (122)

• Node.js Walkthrough: Build a Simple Event-Driven Application with Kafka

  Apache Kafka is a powerful tool for building EDA systems. It’s an open-source platform designed for handling real-time data feeds. Apache Kafka on Heroku is a Heroku add-on that provides Kafka as a service. Heroku makes it pretty easy to deploy and manage applications, and I’ve been using it more in my projects recently. Combining Kafka with Heroku simplifies the setup process when you want to run an event-driven... - Source: dev.to / 7 days ago

• Best Practices for Building Microservices with NestJS

  Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 26 days ago

• Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack

  In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 5 months ago

• How to Use Reductstore as a Data Sink for Kafka

  Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 5 months ago