Insync app2/27/2023 ![]() ![]() Log aggregation typically collects physical log files off servers and puts them in a central place (a file server or HDFS perhaps) for processing. Many people use Kafka as a replacement for a log aggregation solution. This involves aggregating statistics from distributed applications to produce centralized feeds of operational data. Kafka is often used for operational monitoring data. Offline data warehousing systems for offline processing and reporting.Īctivity tracking is often very high volume as many activity messages are generated for each user page view. These feeds are available for subscription for a range of use cases including real-time processing, real-time monitoring, and loading into Hadoop or This means site activity (page views, searches, or other actions users may take) is published to central topics with one topic per activity type. The original use case for Kafka was to be able to rebuild a user activity tracking pipeline as a set of real-time publish-subscribe feeds. ![]() In this domain Kafka is comparable to traditional messaging systems such as ActiveMQ or In our experience messaging uses are often comparatively low-throughput, but may require low end-to-end latency and often depend on the strong Solution for large scale message processing applications. In comparison to most messaging systems Kafka has better throughput, built-in partitioning, replication, and fault-tolerance which makes it a good Message brokers are used for a variety of reasons (to decouple processing from data producers, to buffer unprocessed messages, etc). Kafka works well as a replacement for a more traditional message broker. Three stars because they cannot get it right with the new 3.x releases.Here is a description of a few of the popular use cases for Apache Kafka®.įor an overview of a number of these areas in action, see this blog post. Did you understand that the price you pay is a one-time payment? You pay once and you use it for life.Īnd once you're a customer you'll get offers for half the price at least two/three times every year, if you need to add accounts. I don't understand those who say the product is overpriced. The good news is that the latest 1.5 release still works perfectly. That's a pity, because Insync was really a good product at the 1.x times. The current branch, which is 3.x (there is no 2.x) has a lot of problems and you can find a lot of horror stories about it. There is a great BUT: Insync works flawlessly if you choose to use the 1.1 release, which is the latest available release from the 1.5 code branch. Never had a problem, even mixing Google Drive and Insync over the same cloud space. A couple of computer are Windows-based, so I use Google Drive on them. ![]() Ideally I could select which Google Cloud Drive folder to sync with my external folder.īetween me and my wife we have several Google Drive accounts, syncing to about ten different computers. The above solution only syncs at the root Google Cloud Drive. I have one remaining problem with GoogleDrive+Insync: Subsequent changes to the files are now copied to Google Cloud Drive. Insync creates a link from your external folder to your Google Local Drive, which is then synced with Google Cloud Drive. With Insync you select the folder you want synced with Google Cloud Drive via context menu (right click Explorer menu.super easy). Hard links only copied the first time subsequent updates to the files with hard links did not get synced. I have files outside of the Google Local Drive that I want synced with the Google Cloud Drive. Only items I place in the Google Local Drive get synchronized with the Google Cloud Drive. I had Google Drive installed on a Windows platform. ![]()
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