diff --git a/README.md b/README.md
index a12d797..66cdfd1 100644
--- a/README.md
+++ b/README.md
@@ -149,7 +149,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
 	* [Memory Optimization in Redis at Wattpad](http://engineering.wattpad.com/post/23244724794/store-more-stuff-memory-optimization-in-redis)
 	* [Redis Fleet at Heroku](https://blog.heroku.com/rolling-redis-fleet)
 	* [Solving Remote Build Cache Misses (2 parts) at SoundCloud](https://developers.soundcloud.com/blog/gradle-remote-build-cache-misses-part-2)
-	* [Ratings & Reviews (2 parts) at Flipkart](https://tech.flipkart.com/ratings-reviews-flipkart-part-2-574ab08e75cf)
+	* [Ratings & Reviews (2 parts) at Flipkart](https://blog.flipkart.tech/ratings-reviews-flipkart-part-2-574ab08e75cf)
 	* [Prefetch Caching of Items at eBay](https://tech.ebayinc.com/engineering/prefetch-caching-of-ebay-items/)
 	* [Cross-Region Caching Library at Wix](https://www.wix.engineering/post/how-we-built-a-cross-region-caching-library)
     * [HTTP Caching and CDN](https://developer.mozilla.org/en-US/docs/Web/HTTP/Caching)
@@ -333,11 +333,11 @@ An updated and organized reading list for illustrating the patterns of scalable,
 	* [Search Service at Twitter (2014)](https://blog.twitter.com/engineering/en_us/a/2014/building-a-complete-tweet-index.html)
 	* [Autocomplete Search (2 parts) at Traveloka](https://medium.com/traveloka-engineering/high-quality-autocomplete-search-part-2-d5b15bb0dadf)
 	* [Data-Driven Autocorrection System at Canva](https://product.canva.com/building-a-data-driven-autocorrection-system/)
-	* [Adapting Search to Indian Phonetics at Flipkart](https://tech.flipkart.com/adapting-search-to-indian-phonetics-cdbe65259686)
+	* [Adapting Search to Indian Phonetics at Flipkart](https://blog.flipkart.tech/adapting-search-to-indian-phonetics-cdbe65259686)
 	* [Nautilus: Search Engine at Dropbox](https://blogs.dropbox.com/tech/2018/09/architecture-of-nautilus-the-new-dropbox-search-engine/)
 	* [Galene: Search Architecture of LinkedIn](https://engineering.linkedin.com/search/did-you-mean-galene)
 	* [Manas: High Performing Customized Search System at Pinterest](https://medium.com/@Pinterest_Engineering/manas-a-high-performing-customized-search-system-cf189f6ca40f)
-	* [Sherlock: Near Real Time Search Indexing at Flipkart](https://tech.flipkart.com/sherlock-near-real-time-search-indexing-95519783859d)
+	* [Sherlock: Near Real Time Search Indexing at Flipkart](https://blog.flipkart.tech/sherlock-near-real-time-search-indexing-95519783859d)
 	* [Nebula: Storage Platform to Build Search Backends at Airbnb](https://medium.com/airbnb-engineering/nebula-as-a-storage-platform-to-build-airbnbs-search-backends-ecc577b05f06)
 	* [ELK (Elasticsearch, Logstash, Kibana) Stack](https://logz.io/blog/15-tech-companies-chose-elk-stack/)
 		* [Predictions in Real Time with ELK at Uber](https://eng.uber.com/elk/)
@@ -636,7 +636,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
 	* [Optimizing JVM at Alibaba](https://www.youtube.com/watch?v=X4tmr3nhZRg)
 	* [Tuning JVM Memory for Large-scale Services at Uber](https://eng.uber.com/jvm-tuning-garbage-collection/)
 	* [Solr Performance Tuning at Walmart](https://medium.com/walmartglobaltech/solr-performance-tuning-beb7d0d0f8d9)
-	* [Memory Tuning a High Throughput Microservice at Flipkart](https://tech.flipkart.com/memory-tuning-a-high-throughput-microservice-ed57b3e60997)
+	* [Memory Tuning a High Throughput Microservice at Flipkart](https://blog.flipkart.tech/memory-tuning-a-high-throughput-microservice-ed57b3e60997)
 * [Performance Optimization on Image, Video, Page Load](https://developers.google.com/web/fundamentals/performance/why-performance-matters/)
 	* [Optimizing 360 Photos at Scale at Facebook](https://code.facebook.com/posts/129055711052260/optimizing-360-photos-at-scale/)
 	* [Reducing Image File Size in the Photos Infrastructure at Etsy](https://codeascraft.com/2017/05/30/reducing-image-file-size-at-etsy/)
@@ -673,7 +673,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
 	* [Data Platform at Uber](https://eng.uber.com/uber-big-data-platform/)
 	* [Data Platform at BMW](https://www.unibw.de/code/events-u/jt-2018-workshops/ws3_bigdata_vortrag_widmann.pdf)
 	* [Data Platform at Netflix](https://www.youtube.com/watch?v=CSDIThSwA7s)
-	* [Data Platform at Flipkart](https://tech.flipkart.com/overview-of-flipkart-data-platform-20c6d3e9a196)
+	* [Data Platform at Flipkart](https://blog.flipkart.tech/overview-of-flipkart-data-platform-20c6d3e9a196)
 	* [Data Platform at Coupang](https://medium.com/coupang-tech/evolving-the-coupang-data-platform-308e305a9c45)
 	* [Data Platform at DoorDash](https://doordash.engineering/2020/09/25/how-doordash-is-scaling-its-data-platform/)
 	* [Data Platform at Khan Academy](http://engineering.khanacademy.org/posts/khanalytics.htm)