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     new b262c5b  docs: update images in tencent cloud blog (#952)
b262c5b is described below

commit b262c5b9fec9f3a46aba93ef4ec0851ebe2af9b0
Author: yilinzeng <[email protected]>
AuthorDate: Thu Mar 10 09:45:37 2022 +0800

    docs: update images in tencent cloud blog (#952)
---
 website/blog/2021/09/16/tencent-cloud.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/website/blog/2021/09/16/tencent-cloud.md 
b/website/blog/2021/09/16/tencent-cloud.md
index f610a71..f7c791e 100644
--- a/website/blog/2021/09/16/tencent-cloud.md
+++ b/website/blog/2021/09/16/tencent-cloud.md
@@ -18,7 +18,7 @@ tags: [User Case]
 
 Tencent Cloud Intelligent Titanium Machine Learning Platform (TI-ONE) is a 
machine learning service platform for AI engineers, providing users with 
full-process development support from data pre-processing, model building, 
model training to model evaluation. TI-ONE has rich built-in algorithm 
components and supports multiple algorithm frameworks to meet the needs of 
various AI application scenarios.
 
-![TI-ONE 
Architecture](https://static.apiseven.com/202108/1631781110822-39c59a83-aa18-4934-a2ef-43cd58866878.jpg)
+![TI-ONE 
Architecture](https://static.apiseven.com/202108/1646830304750-e4716cb4-9024-4995-a910-ad3ddd5d00a9.png)
 
 ## What Does TI-ONE Need from Apache APISIX?
 
@@ -28,19 +28,19 @@ The main requirement at the technical aspect is to have 
cross-sectional function
 
 Considering the demand of subsequent business connection to Tencent Cloud, the 
API gateway must support Tencent’s customized authentication and login 
mechanism and comply with Tencent Cloud API 3.0 format.
 
-![TI-ONE's Technical 
Needs](https://static.apiseven.com/202108/1632067141398-816af366-f7d5-47ad-ad85-3df534ada734.58)
+![TI-ONE's Technical 
Needs](https://static.apiseven.com/202108/1646830304728-8be486b7-80e9-4b07-8a02-2c753f70c6d1.png)
 
 From the business aspect, the main consideration is user perception. When the 
platform is developed, AI and algorithm colleagues need an interactive 
programming environment, and then the API gateway needs to support Notebook. It 
also needs to support request-level monitoring, including logging monitoring 
and metrics monitoring.
 
 We conducted research on API Gateway products to address the above 
requirements.
 
-![TI-ONE's requirements on  API 
Gateway](https://static.apiseven.com/202108/1631781748143-8e30a89c-99b8-45ed-b6e6-1dddaa838342.jpg)
+![TI-ONE's requirements on  API 
Gateway](https://static.apiseven.com/202108/1646830304731-719124e9-8206-4ffb-8be1-eb54c7c0e159.png)
 
 ## Research and Compare Products
 
 We have compared Envoy, Kong and Apache APISIX from multiple dimensions in our 
research stage.
 
-![Envoy, Kong and Apache APISIX 
Comparison](https://static.apiseven.com/202108/1631781764958-a2cadf83-80b4-4b50-ba42-76b21d0d211a.jpg)
+![Envoy, Kong and Apache APISIX 
Comparison](https://static.apiseven.com/202108/1646830766533-be5642c4-04d3-4999-8c0a-07116f0c08c7.png)
 
 Since Envoy’s technology stack is C++, it is likely that we will have to look 
at the C++ source code when we need to locate the problem. It is very likely to 
bring us some extra problems, so Envoy was eliminated from our options in the 
early stage.
 
@@ -56,11 +56,11 @@ After connecting to Apache APISIX, we have completed the 
gateway aspect of TI-ON
 
 Apache APISIX supports http+pb, http+json, gRPC, WebSocket and other traffic. 
After these traffic flows go through Apache APISIX, they will go to some 
components custom-developed by TI-ONE.
 
-![Apache APISIX 
Architecture](https://static.apiseven.com/202108/1631781850656-4235a4e8-2792-48ae-9c98-b4d75628a476.jpg)
+![Apache APISIX 
Architecture](https://static.apiseven.com/202108/1646830304733-0ccfe462-0214-430e-8316-079cc0e0d4de.png)
 
 The business of TI-ONE is deployed on Tencent Cloud TKE platform. In order to 
improve its availability, the gateway, etcd, etc. are clustered and deployed. 
Instead of using the Apache APISIX dashboard, Smart Titanium Machine Learning 
Platform interacts directly with the Admin API and writes directly to etcd.
 
-![Add Plugin 
Process](https://static.apiseven.com/202108/1631781876752-faf1b7d0-abbb-4313-879c-e00d2b28334a.jpg)
+![Add Plugin 
Process](https://static.apiseven.com/202108/1646830304736-ae479c95-9be7-43b5-8600-bcac8914c08d.png)
 
 ## Experience Sharing
 
@@ -70,7 +70,7 @@ In the process of doing this, we have summarized some of the 
pitfalls of using N
 
 When I used Nginx before, I felt that Nginx was a configuration-driven 
product. Nginx is often counterintuitive when it comes to configuration 
management. One such counterintuitive pitfall was encountered by my colleague 
during this hands-on experience:
 
-![Nginx Configuration 
Error](https://static.apiseven.com/202108/1631781909354-0fada4fa-1154-4974-ae3d-292ab46e5889.jpg)
+![Nginx Configuration 
Error](https://static.apiseven.com/202108/1646830304738-224447bd-ee49-4369-9fce-c53d9a828d0e.png)
 
 For those are new to Nginx, these two lines of commands are added before the 
`if`, and there are no other commands inside the `if` that could override them, 
so they should be executed. Anyone familiar with Nginx knows that the command 
inside the `if` overrides the outside command, but this is very 
counterintuitive.
 
@@ -78,7 +78,7 @@ For those are new to Nginx, these two lines of commands are 
added before the `if
 
 In practicing using Apache APISIX practices, the Apache APISIX project test 
cases are written in great detail. Even if I didn’t have a deep understanding 
of how to call certain functions in Apache APISIX, I could often find the 
answers in the test cases. When I encountered some OpenResty problems later, I 
would look for the relevant code in these test cases, and I was able to solve 
the problem every time.
 
-![Test Cases as 
Documentation](https://static.apiseven.com/202108/1631781920390-a504ce7c-1ccd-4fb8-99a2-09d74be6bb7e.jpg)
+![Test Cases as 
Documentation](https://static.apiseven.com/202108/1646830304739-dcfb66f9-f765-4e15-a476-edea9ca3ff11.png)
 
 ## Some Thoughts on Service Mesh
 

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