From 5b647ba70b5c7f615519b3d5eb7231a170cb360b Mon Sep 17 00:00:00 2001 From: Vikash Yadav Date: Mon, 15 May 2023 14:32:48 +0530 Subject: [PATCH] Update day84.md Added the space between maybe. --- 2022/Days/day84.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/2022/Days/day84.md b/2022/Days/day84.md index 399aed6..9266d69 100644 --- a/2022/Days/day84.md +++ b/2022/Days/day84.md @@ -12,7 +12,7 @@ id: 1048747 ![](Images/Day84_Data1.png) -Data Management is by no means a new wall to climb, although we do know that data is more important than it maybe was a few years ago. Valuable and ever-changing it can also be a massive nightmare when we are talking about automation and continuously integrating, testing and deploying frequent software releases. Enter the persistent data and underlying data services are often the main culprit when things go wrong. +Data Management is by no means a new wall to climb, although we do know that data is more important than it may be was a few years ago. Valuable and ever-changing it can also be a massive nightmare when we are talking about automation and continuously integrating, testing and deploying frequent software releases. Enter the persistent data and underlying data services are often the main culprit when things go wrong. But before I get into Cloud-Native Data Management, we need to go up a level. We have touched on many different platforms throughout this challenge. Be it Physical, Virtual, Cloud or Cloud-Native obviously including Kubernetes there is none of these platforms that provide the lack of requirement for data management.