Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Your monitoring isn't a stack. It's a pile. Fix that.
Errors, performance, logs, uptime. One install, one invoice, one UI.
Replace Datadog, New Relic, and Sentry without adding three more dashboards.
...Retrieve zone data from primaries, i.e., act as a secondary server (AXFR only) (secondary). Sign zone data on-the-fly (dnssec). Load balancing of responses (loadbalance). Allow for zone transfers, i.e., act as a primary server (file + transfer). Automatically load zone files from disk (auto).
Ip to country. Whois made in Java. 3MB in Memory DB - totally fast!!
The project contains 2 small projects:
A)
JWhois.lookup( IP - address) returns CountryCode
Works for all IP-adresses in the world.
If you need a fast Geo IP service - made in Java. Then this is the project.
It takes 30 sec to compile. 10 minutes to download the data files. 5-15 minutes to build the "jwhois / java" - datafile for in memory database. 3 secs to startup and read the in memory database after restart. 0.0001 ms to make a lookup!!!
B)
RipeIpService.lookUp( IP - address) gives "All info like whois command" (Just only for RIPE's IPs - not all IP-addresses in the world)
Is only tested on Linux and Mac. ...
ServicemarX allows you to easily discover, bookmark, and share network services. It extends Bonjour (formerly known as Rendezvous) by expanding its scope Internet-wide. ServicemarX also enables Tiger's Wide Area capabilities. (full source in CVS below)
dotP2P would consist of servers running caches to keep track of domain and nameserver records. Cache servers can be created with any server that supports XML-RPC or SOAP. MySQL is used to store the the cache data.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.