![]() ![]() I learned a lot from this paper, I have my criticisms of certain aspects, timestamps for topics discussed below. Enjoy 0:00 Intro 4:40 What is Memcached? 7:45 Memory management 16:00 LRU 25:17 Threading and Connections 30:40 Read Example 34:30 Write Example 36:17 Write and Read collisions 39:40 Locking 40:30 Distributed Cache 43:30 Memcached with Docker/Telnet/NodeJS 45:00 Spin up a Memcached Docker container and telnet 52:17 Memcached and NodeJS 56:15 Four Memached Servers with NodeJS 01:01:00 Summary Resources /understanding-memcached-source-code-IV/ /memcached/memcached/blob/master/doc/protocol.txt /cd/E17952_01/mysql-5.6-en/ha-memcached-using-threads.html /understanding-memcached-source-code-I/ /cd/E17952_01/mysql-5.6-en/ha-memcached-using-memory.html /s/article/360005256114-Memcached-in-detail /blog/persistent-memory-2/ /blog/modern-lru/ Buy me a coffee In this episode of the backend engineering show I go through and discuss the Homa Protocol paper which attempts to replace TCP as a protocol in the data centers. I go through a demo at the end using docker, telnet and nodes. This video discuss the architecture of the cache, design choices and have some critics of the design choices. By default it has no authentication, a simple text protocols, servers don’t talk to each other. It was originally designed to help with database load by storing the query result in memory to avoid further querying the database. ![]() Memcached is an in memory cache with one major feature be a transient cache. Let us get started.įundamentals of Backend Engineering Design patterns udemy course (link redirects to udemy with coupon) Fundamentals of Networking for Effective Backends udemy course (link redirects to udemy with coupon) Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) I assume the reader is well versed with fundamentals of database engineering such as indexes, B+Trees, data files, WAL etc, you may pick up my database course to learn the skills. In this video I discuss the evolution of MongoDB internal architecture on how documents are stored and retrieved focusing on the index storage representation. Everything goes to disk, the trick is to fetch what you need from disk efficiently with as fewer I/Os as possible, the rest is API. For example, How documents are stored in MongoDB is no different from how MySQL or PostgreSQL store rows. Read full a big believer that database systems share similar core fundamentals at their storage layer and understanding them allows one to compare different DBMS objectively. Discussions about scalability and performance are solely based on my opinions. Please note that the information here is derived from both the Postgres doc and code. In this video I explore the PostgreSQL process architecture in details. I have a medium post just exploring the different options. However, what part of your application does the accepting and what part does the reading and what part does the execution? You can architect your application in many ways based on your use cases. You listen on an address-port pair, connection attempts to that address and port will get added to an accept queue The application accepts connections from the queue and start reading the data stream sent on the connection. In this video I discuss how bad is this.Ĭreating a listener on the backend application that accepts connections is simple. Host key for has changed and you have requested strict checking. Please contact your system administrator.Īdd correct host key in ~/.ssh/known_hosts to get rid of this message. SHA256:uNiVztksCsDhcc0u9e8BujQXVUpKZIDTMczCvj3tD2s. The fingerprint for the RSA key sent by the remote host is It is also possible that a host key has just been changed. Someone could be eavesdropping on you right now (man-in-the-middle attack)! GitHub Accidentally Exposed their SSH RSA Private key, this is the message you will get WARNING: REMOTE HOST IDENTIFICATION HAS CHANGED! IS POSSIBLE THAT SOMEONE IS DOING SOMETHING NASTY! ![]()
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