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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

The database is sending them to a transport that DBLog can consume. We use the term ‘ change log’ for that transport. This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. Figure 4— Delta Connector. Schema store integration.

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

The database is sending them to a transport that DBLog can consume. We use the term ‘ change log’ for that transport. This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. Figure 4— Delta Connector. Schema store integration.

Database 212
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HTTP/3 From A To Z: Core Concepts (Part 1)

Smashing Magazine

You’ve probably heard things like: “HTTP/3 is much faster than HTTP/2 when there is packet loss”, or “HTTP/3 connections have less latency and take less time to set up”, and probably “HTTP/3 can send data more quickly and can send more resources in parallel”. HTTP/2 versus HTTP/3 protocol stack comparison ( Large preview ). What Is QUIC?

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HTTP/3: Performance Improvements (Part 2)

Smashing Magazine

Because we are dealing with network protocols here, we will mainly look at network aspects, of which two are most important: latency and bandwidth. Latency can be roughly defined as the time it takes to send a packet from point A (say, the client) to point B (the server). Two-way latency is often called round-trip time (RTT).

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HTTP/3: Practical Deployment Options (Part 3)

Smashing Magazine

This approach was touted to be better for fine-grained caching because each subresource could be cached individually and the full bundle didn’t need to be redownloaded if one of them changed. Finally, not inlining resources has an added latency cost because the file needs to be requested. What Does It All Mean? Large preview ).

Network 104