foo.co.za valuation and analysis

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Title Foo.co.za - Neil
Description Foo.co.za – Neil Personal blog of Neil Broers - HTPC, XBMC, Raspberry Pi, Software development, PHP, Python and
Keywords Neil Broers, HTPC, XBMC, Raspberry Pi, Media PC, PHP, Software development
Server Information
WebSite foo faviconfoo.co.za
Host IP 102.130.118.23
Location -
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foo.co.za Valuation
US$348,389
Last updated: 2023-05-15 06:24:02

foo.co.za has Semrush global rank of 30,380,735. foo.co.za has an estimated worth of US$ 348,389, based on its estimated Ads revenue. foo.co.za receives approximately 40,199 unique visitors each day. Its web server is located in -, with IP address 102.130.118.23. According to SiteAdvisor, foo.co.za is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$348,389
Daily Ads Revenue US$322
Monthly Ads Revenue US$9,648
Yearly Ads Revenue US$115,773
Daily Unique Visitors 2,680
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
foo.co.za. A 3600 IP: 102.130.118.23
foo.co.za. NS 86400 NS Record: ns2.host-ww.net.
foo.co.za. NS 86400 NS Record: ns1.host-ww.net.
foo.co.za. MX 3600 MX Record: 0 foo.co.za.
foo.co.za. TXT 3600 TXT Record: v=spf1 ip4:102.130.119.232 include:spf.antispamcloud.com include:spf.host-ww.net ip4:102.130.118.23 ip4:102.135.161.171 ip4:102.135.161.172 +a +mx +ip4:129.232.223.58 +ip4:129.232.223.105 ~all
HtmlToTextCheckTime:2023-05-15 06:24:02
Foo.co.za – Neil Broers Personal blog of Neil Broers Search Main menu Skip to primary content Skip to secondary content Home Post navigation ← Older posts Event-Driven Architecture for Microservices – Part 2 Posted on February 24, 2018 by Neil Broers Reply Encoding Event Data The event data needs to contain all the domain data that could be required by the services that will consume the events. This will differ for every event. For example, the “Transaction Added” event in the virtual wallet could have transaction ID, transaction type, amount, account ID and transaction date fields. The data needs to be encoded / serialized for efficient transfer using the Pub/Sub system and subsequently decoded / de-serialized in the Event Consumer. Considering that the event data also needs to be persisted to a relational database, it makes sense to encode the event data before it is persisted as it avoids having to implement a different table for each event type. Although storing data in an encoded
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