sidekick is a high-performance sidecar load-balancer. By attaching a tiny load balancer as a sidecar to each of the client application processes, you can eliminate the centralized loadbalancer bottleneck and DNS failover management. sidekick automatically avoids sending traffic to the failed servers by checking their health via the readiness API and HTTP error returns.

Sidekick - High Performance HTTP Sidecar Load Balancer


Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). As an organization, Hudi can help you build an efficient data lake, solving some of the most complex, low-level storage management problems, while putting data into hands of your data analysts, engineers and scientists much quicker.
<BR><BR>
Features: <BR>
<ul>
<li>Upsert support with fast, pluggable indexing</li>
<li>Atomically publish data with rollback support</li>
<li>Snapshot isolation between writer &amp; queries</li>
<li>Savepoints for data recovery</li>
<li>Manages file sizes, layout using statistics</li>
<li>Async compaction of row &amp; columnar data</li>
<li>Timeline metadata to track lineage</li>
<li>Optimize data lake layout with clustering</li>
</ul>

Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). As an organization, Hudi can help you build an efficient data lake, solving some of the most complex, low-level storage management problems, while putting data into hands of your data analysts, engineers and scientists much quicker.

Apache Hudi - Streaming Data Lake Platform

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Sidekick - High Performance HTTP Sidecar Load Balancer

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