docs(readme): add translated documentation for pt-br

README.ja-JP.md

@@ -7,7 +7,7 @@
 
 [![ci-tests](https://github.com/dragonflydb/dragonfly/actions/workflows/ci.yml/badge.svg)](https://github.com/dragonflydb/dragonfly/actions/workflows/ci.yml) [![Twitter URL](https://img.shields.io/twitter/follow/dragonflydbio?style=social)](https://twitter.com/dragonflydbio)
 
-その他の言語:  [English](README.md) [简体中文](README.zh-CN.md) [한국어](README.ko-KR.md)
+その他の言語:  [English](README.md) [简体中文](README.zh-CN.md) [한국어](README.ko-KR.md) [Português](README.pt-BR.md)
 
 [Web サイト](https://www.dragonflydb.io/) • [ドキュメント](https://dragonflydb.io/docs) • [クイックスタート](https://www.dragonflydb.io/docs/getting-started) • [コミュニティ Discord](https://discord.gg/HsPjXGVH85) • [Dragonfly Forum](https://dragonfly.discourse.group/) • [Join the Dragonfly Community](https://www.dragonflydb.io/community)
 
@@ -179,5 +179,4 @@ Dragonfly は、インメモリデータストアを 2022 年に設計したら
 Dragonfly の基盤を構築し、[そのパフォーマンスに満足したら](#ベンチマーク)、Redis と Memcached の機能を実装していきました。現在までに 185 個の Redis コマンド（Redis 5.0 API とほぼ同等）と 13 個の Memcached コマンドを実装しました。
 
 そして最後に、<br>
-<em>私たちの使命は、最新のハードウェアの進歩を活用した、クラウドワークロード向けの、優れた設計、超高速、コスト効率の良いインメモリデータストアを構築することです。現在のソリューションの API と提案を維持しながら、その問題点を解決するつもりです。
-</em>
+<em>私たちの使命は、最新のハードウェアの進歩を活用した、クラウドワークロード向けの、優れた設計、超高速、コスト効率の良いインメモリデータストアを構築することです。現在のソリューションの API と提案を維持しながら、その問題点を解決するつもりです。</em>

README.ko-KR.md

@@ -7,7 +7,7 @@
 
 [![ci-tests](https://github.com/dragonflydb/dragonfly/actions/workflows/ci.yml/badge.svg)](https://github.com/dragonflydb/dragonfly/actions/workflows/ci.yml) [![Twitter URL](https://img.shields.io/twitter/follow/dragonflydbio?style=social)](https://twitter.com/dragonflydbio)
 
-다른 언어 번역본:  [English](README.zh-CN.md) [简体中文](README.zh-CN.md) [日本語](README.ja-JP.md)
+다른 언어 번역본:  [English](README.zh-CN.md) [简体中文](README.zh-CN.md) [日本語](README.ja-JP.md) [Português](README.pt-BR.md)
 
 [Website](https://www.dragonflydb.io/) • [Docs](https://dragonflydb.io/docs) • [Quick Start](https://www.dragonflydb.io/docs/getting-started) • [Community Discord](https://discord.gg/HsPjXGVH85) • [Dragonfly Forum](https://dragonfly.discourse.group/) • [Join the Dragonfly Community](https://www.dragonflydb.io/community)
 
@@ -178,5 +178,4 @@ Dragonfly는 2022년에 인-메모리 데이터스토어를 설계한다면 어
 저희는 Dragonfly의 기반을 구축하고 성능에 만족하게 되었을 때, Redis와 Memcached의 기능을 구현하기 시작했습니다. 저희는 약 185개의 Redis 명령(대략적으로 Redis 5.0 API와 동등)과 13개의 Memecached 명령을 구현했습니다.
 
 마지막으로, <br>
-<em>저희의 임무는 최신 하드웨어 발전을 활용하는 클라우드 작업을 위한 멋진 설계와 초고속 처리량 그리고 비용효율적인 인-메모리 데이터스토어를 만드는 것입니다. 저희는 현재 솔루션의 제품 API들이나 제안을 유지하면서 당면 과제를 해결하고자 합니다.
-</em>
+<em>저희의 임무는 최신 하드웨어 발전을 활용하는 클라우드 작업을 위한 멋진 설계와 초고속 처리량 그리고 비용효율적인 인-메모리 데이터스토어를 만드는 것입니다. 저희는 현재 솔루션의 제품 API들이나 제안을 유지하면서 당면 과제를 해결하고자 합니다.</em>

README.md

@@ -9,7 +9,7 @@
 
 > Before moving on, please consider giving us a GitHub star ⭐️. Thank you!
 
-Other languages:  [简体中文](README.zh-CN.md) [日本語](README.ja-JP.md) [한국어](README.ko-KR.md)
+Other languages:  [简体中文](README.zh-CN.md) [日本語](README.ja-JP.md) [한국어](README.ko-KR.md) [Português](README.pt-BR.md)
 
 [Website](https://www.dragonflydb.io/) • [Docs](https://dragonflydb.io/docs) • [Quick Start](https://www.dragonflydb.io/docs/getting-started) • [Community Discord](https://discord.gg/HsPjXGVH85) • [Dragonfly Forum](https://dragonfly.discourse.group/) • [Join the Dragonfly Community](https://www.dragonflydb.io/community)
 
@@ -237,5 +237,4 @@ Our second challenge was to engineer more efficient data structures for the new
 Once we had built the foundation for Dragonfly and [we were happy with its performance](#benchmarks), we went on to implement the Redis and Memcached functionality. We have to date implemented ~185 Redis commands (roughly equivalent to Redis 5.0 API) and 13 Memcached commands.
 
 And finally, <br>
-<em>Our mission is to build a well-designed, ultra-fast, cost-efficient in-memory datastore for cloud workloads that takes advantage of the latest hardware advancements. We intend to address the pain points of current solutions while preserving their product APIs and propositions.
-</em>
+<em>Our mission is to build a well-designed, ultra-fast, cost-efficient in-memory datastore for cloud workloads that takes advantage of the latest hardware advancements. We intend to address the pain points of current solutions while preserving their product APIs and propositions.</em>