Memcached
NATS
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Memcached | NATS | |
---|---|---|
55 | 106 | |
13,199 | 14,766 | |
1.2% | 2.7% | |
8.4 | 9.8 | |
6 days ago | 2 days ago | |
C | Go | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Memcached
- Redis Re-Implemented with SQLite
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Best engineering interview question I've gotten
> Multiple clients racing can't be fixed.
Really? You can't think of a single way for multiple clients to operate on the same data without racing? (Here's a hint if you're still having trouble: https://github.com/memcached/memcached/wiki/Commands#cas.)
- Memcached 1.6.25 Release Notes
- Memcached 1.6.24 Release Notes
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How to choose the right type of database
Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.
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Sieve is simpler than LRU
Oh, thank you! I didn't realize that LRU Maintainer Thread was more than an expiration reaper. When it was first being introduced that was its first responsibility as lazy expiration removal by size eviction meant dead entries wasted capacity. It was all work in progress when I had read about it [1] and talked to dormando, so it got fuzzy. The compat code [2, 3] might have also thrown me off if I only looked at the setting and not the usage. Its a neat variant to all of these ideas.
[1] https://github.com/memcached/memcached/pull/97
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A Developer's Journal: Simplifying the Twelve-Factor App
stores session state in a session store like Memcached or Redis.
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In-memory database Redis wants to dabble in disk
memcached has recently gained the ability to spill to disk: https://github.com/memcached/memcached/wiki/Extstore
we recently implemented this to grow our caches to >50TB
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Django Caching 101: Understanding the Basics and Beyond
Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.
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Node.js server-side authentication: Tokens vs. JWT
In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached.
NATS
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Implementing OTel Trace Context Propagation Through Message Brokers with Go
Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues.
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NATS: First Impressions
https://nats.io/ (Tracker removed)
> Connective Technology for Adaptive Edge & Distributed Systems
> An Introduction to NATS - The first screencast
I guess I don't need to know what it is
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Interview with Sebastian Holstein, Founder of Qaze
During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series.
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Sequential and parallel execution of long-running shell commands
Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally.
[1] https://nats.io/
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Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
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New scalable, fault-tolerant, and efficient open-source MQTT broker
Why wasn't NATS[1] used ?
Written in Go, single-binary deployment... there's a lot to love about NATS !
[1]https://nats.io/
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Scripting with NATS.io support
require nats.io
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Introducing “Database Performance at Scale”: A Free, Open Source Book
About cost, see [1]. Also, S3 prices have been increasing and there's been a bunch of alternative offers for object store from other companies. I think people in here (HN) comment often about increasing costs of AWS offerings.
Distributed systems and consensus are inherently hard problem, but there are a lot of implementations that you can study (like Etcd that you mention, or NATS [2], which I've been playing with and looks super cool so far :-p) if you want to understand the internals, on top of many books and papers released.
Again, I never said it was "easy" to build distributed systems, I just don't think there's any esoteric knowledge to what S3 provides.
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1: https://en.wikipedia.org/wiki/Economies_of_scale
2: https://nats.io/
- NATS: Connective Technology for Adaptive Edge and Distributed Systems
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Is it an antipattern to use the response channel as identifier
I am in a project were nats.io is used. Someone thought, it would be a great idea to link data in an event with data in a response using the response channel name.
What are some alternatives?
Varnish - The project homepage
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
node-cache - A simple in-memory cache for nodejs
celery - Distributed Task Queue (development branch)
dragonfly - A modern replacement for Redis and Memcached
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
node-cache - a node internal (in-memory) caching module
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
KeyDB - A Multithreaded Fork of Redis
Apache ActiveMQ - Mirror of Apache ActiveMQ
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
nsq - A realtime distributed messaging platform