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The following commit(s) were added to refs/heads/asf-site by this push:
new af666db MINOR: Added Agoda and TokenAnalyst to powered-by page (#226)
af666db is described below
commit af666dbee7956aca3688d9b1be341ec6042e7f63
Author: Hartanto Thio <hartantot...@users.noreply.github.com>
AuthorDate: Wed Aug 28 08:56:16 2019 -0700
MINOR: Added Agoda and TokenAnalyst to powered-by page (#226)
---
images/powered-by/agoda.png | Bin 0 -> 50229 bytes
images/powered-by/tokenanalyst.png | Bin 0 -> 20335 bytes
powered-by.html | 10 ++++++++++
3 files changed, 10 insertions(+)
diff --git a/images/powered-by/agoda.png b/images/powered-by/agoda.png
new file mode 100644
index 0000000..1724421
Binary files /dev/null and b/images/powered-by/agoda.png differ
diff --git a/images/powered-by/tokenanalyst.png
b/images/powered-by/tokenanalyst.png
new file mode 100644
index 0000000..dcbd717
Binary files /dev/null and b/images/powered-by/tokenanalyst.png differ
diff --git a/powered-by.html b/powered-by.html
index e8269fb..c7d4faa 100644
--- a/powered-by.html
+++ b/powered-by.html
@@ -38,6 +38,11 @@
"logoBgColor": "#ffffff",
"description": "adidas uses Kafka as the core of Fast Data Streaming
Platform, integrating source systems and enabling teams to implement real-time
event processing for monitoring, analytics and reporting solutions."
}, {
+ "link": "https://www.agoda.com/";,
+ "logo": "agoda.png",
+ "logoBgColor": "#ffffff",
+ "description": "Apache Kafka powers the backbone of Agoda's data
pipeline with trillions of events streaming through daily across multiple data
centers. The majority of the events are destined for analytical systems and
directly influence business decisions at one of the world’s fastest growing
online travel booking platforms."
+ }, {
"link": "http://www.amadeus.com";,
"logo": "amadeus.jpg",
"logoBgColor": "#ffffff",
@@ -398,6 +403,11 @@
"logoBgColor": "#ffffff",
"description": "Apache Kafka drives our new pub sub system which
delivers real-time events for users in our latest game - Deckadence. It will
soon be used in a host of new use cases including group chat and back end stats
and log collection."
}, {
+ "link": "https://www.tokenanalyst.io/";,
+ "logo": "tokenanalyst.png",
+ "logoBgColor": "#ffffff",
+ "description": "At TokenAnalyst, we’re using Kafka for ingestion of
blockchain data—which is directly pushed from our cluster of Bitcoin and
Ethereum nodes—to different streams of transformation and loading processes."
+ }, {
"link": "https://www.tumblr.com/";,
"logo": "tumblr.png",
"logoBgColor": "#5eba8c",
