Databunker
go-cache
Databunker | go-cache | |
---|---|---|
36 | 8 | |
1,208 | 7,839 | |
2.2% | - | |
5.7 | 0.0 | |
7 days ago | 6 months ago | |
Go | Go | |
MIT License | MIT License |
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.
Databunker
-
GDPR compliance for hobby projects
https://databunker.org/ looks really interesting but I haven't found any Django or Python integrations as yet. Any thoughts?
- Practical GDPR Compliance Guide for Startup Founders
-
Need your tips on SaaS product launch without a marketing budget
I also have an open-source product in this field: https://databunker.org/
-
Need advice on open-source projects with the best documentation
PS. Here is my tool: https://databunker.org/
-
Armon Dadgar (HashiCorp CTO) on startup motivation
This morning I was fortunate to listen to a podcast with Armon Dadgar . Armon is a #Hashicorp CTO and co-founder. I found inspiration in his words to what we do Privacybunker.IO. The matter is that we are also an open-source security vendor and we are building a standard tool for every company to store customer records and with the highest level of security and privacy compliance: https://databunker.org/.
So, according to Armon, the motivation for #Hashicorp was the following:
In a Pre #Oracle world, every company was building its own database.
Every company that manages any data had to build their own storage engine, their own query engine, their own everything.
This was a huge tax on the entire industry.
But once you have a set of vendors that provide standard SQL solutions, like Microsoft, Oracle, Sybase, etc... then you can build higher-level applications that consume the database.
For us (#Hashicorp), it felt like, where we are with our tools.
When we started, everyone was building their own platform, everyone was rolling its own approach to automation.
Shouldn't there be a set of vendors who sell that for you and you just operate it rather than building it?
Original podcast: https://lnkd.in/dh4R4xMe
About Databunker
- It took me 1 year to grow to 100 stars on GitHub
-
Looking for secure storage for customer data? Look no further!
Hi, I am an open-source developer working on Databunker: https://github.com/securitybunker/databunker.
-
Creating CRUD for customer data vs using open-source Databunker tool
More info: https://databunker.org/ https://github.com/securitybunker/databunker
Hi, I am an open-source developer working on Databunker. Today I got a question from one of the guys on a social network.
- Databunker - a secure enclave for customer data
go-cache
-
My first package in go. An in-memory cache package useful when creating multiple instances of the cache
Why I am creating this package? There is an already existing memory cache package which creates (One Janitor for One Cache) So I am running into issues where many go routines are running in our use cases causing the application to crash due to some memory leakage in the library itself or maybe multiple timers running at same time casuing the issue. Also this is a very popular github library but just doesn't fits when I am creating many cache instances. So thought about creating one package by myself.
-
VCache vs Go-Cache
I wrote a new library called VCache (https://github.com/microup/vcache). VCahce differs from go-cache (https://github.com/patrickmn/go-cache) by using a key of type "any" instead of a key of type "string". I compared the performance of both libraries on the main operations: Add, Get, and Delete.
-
Better Cache - A Lightning Fast Caching System with Full Text Search
https://github.com/patrickmn/go-cache is a well known one. My cache module is for it's fast full text search thus I recommend only using mine if u are using a pre-set cache.
-
go-cache VS ccache - a user suggested alternative
2 projects | 2 Apr 2022
-
Implement an in-memory cache in Golang
github.com - patrickmn/go-cache
-
Log4j RCE Found
> when they went a year without a release.
Cause these libraries depend on other libraries that are probably extremely out of date at that point and have their own security vulnerabilities.
An example of a project that hasn't been dismissed as "abandoned", is https://github.com/patrickmn/go-cache because it explicitly doesnt have dependencies.
So yeah, if you have a semi-complex library, a year without a release is abandoned.
-
Cache locally using text file
implementing runtime cache using map seems doable, i may just learn from github.com/patrickmn/go-cache but i dont understand what does it mean cache locally using text file. does it mean I have to:
-
In-memory caching solutions
Though pretty simple but have a look at https://github.com/patrickmn/go-cache
What are some alternatives?
Milvus - A cloud-native vector database, storage for next generation AI applications
BigCache - Efficient cache for gigabytes of data written in Go.
migrate - Database migrations. CLI and Golang library.
groupcache - groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.
goleveldb - LevelDB key/value database in Go.
GCache - An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
noms - The versioned, forkable, syncable database
badger - Fast key-value DB in Go.
mssql - Microsoft SQL server adapter for REL written in Golang.
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
immudb - immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history
goose