Ken Chen's Blog

The presentation titled "Hatchet: Empowering Smart MongoDB Log Analysis" delves into the transformative capabilities of Hatchet in revolutionizing MongoDB log analysis. This tool introduces streamlined processes, insightful performance analysis, and efficient log search functionalities. By uncovering valuable insights, identifying slow query patterns, and presenting data through powerful charts, Hatchet enables users to gain comprehensive understanding and visualization of their MongoDB data. The presentation provides valuable resources, including access to the Hatchet GitHub repository and an accompanying blog post. These resources serve as a guide to maximizing the potential of Hatchet in simplifying MongoDB log analysis. Hatchet's key features include advanced performance analysis that surpasses traditional methods. It offers detailed metric charts, encompassing geolocation data and driver details. This empowers users to pinpoint performance bottlenecks, opt

This blog is a series of Sizing a MongoDB Cluster videos. Computer and I/O This video is about how things work inside a computer at a high level.  You will learn about the three important components of a computer, and the steps take place to support both read and write operations.  Let’s get started.   Memory and Sizing Database servers, in general, use up as much memory as possible, and it certainly applies to mongo servers. In this video, you will learn about different memory usages related to a mongo server. Let’s get started. Survey Your Mongo Land Unlocking MongoDB Excellence: Dive into the enriched capabilities of Keyhole and Maobi. Explore a realm of tools that go beyond, from monitoring memory usage to direct interaction with Atlas clusters. Discover load testing, change streams insights, index clarity, and efficient database cloning – all at your fingertips.

So, I left the consulting engineer job I once loved. Things happen for their reasons and I believe everything always turns positive. As a curriculum engineer now, I have a chance to be involved with something I did well before. Having a long software career, before I studied Computer Science, I earned a bachelor degree in Industrial Design and learned a few musical instruments over the years. My love for technologies doesn't change and I'll perhaps continue contributing to the software community in a different path. Making video blogs and animations is fun so far. Let me first begin with the name simagix. Simagix is not a catchy name and even myself have different ways of saying it. In this video clip, I'll explain where the name came from in this short video.

MongoPush is not only a data migration tool but also a database cluster transformation solution.  Data migration is one of many functions mongopush has. Another Bold Stroke In my tenure at Professional Services, December has been a month full of customer requested cancellations and thus resulting in many last minute engagements.  Right before the December holidays in 2020, I was assigned to an Atlas migration consultation on a short notice.  A colleague of mine already demonstrated to the customer a replica set migration to Atlas using the mongomirror tool in a previous meeting.  The customer asked me to use the same procedure and tool to mirror a 3-shard cluster to Atlas.  Unfortunately, it was not possible to migrate a sharded cluster using a simple mongomirror command.  After explaining the steps of migrating a sharded cluster using multiple modified mongomirror instances, the idea of simplifying the process of migrating sharded clusters began brewing in my head. The mongomirror

MongoPush tool is another bold stroke in my serendipitous MongoDB career. It is a push based migration tool for MongoDB clusters. It provides high parallelism, supports topology transformation, is resumable, offers progress monitoring, and supports migrating subsets of data.  With MongoDB Atlas gaining popularity and the success of the Keyhole , I was frequently asked whether a migration feature can be added to the Keyhole. The other existing migration solutions often fail because of firewall restrictions or other limitations.  Keyhole serves a different purpose as an analysis tool, so rather than confuse its function, I created MongoPush as a separate tool.  Push-Based Solution My goal was simple, to develop a tool that can perform a sharded cluster migration when the Atlas Live Migration Service is not suitable.  MongoDB provides the mongomirror tool to push data to MongoDB Atlas from behind firewalls, but mongomirror can only migrate data between replica sets. It does not yet p