Skip to main content

A caching framework to cache object across pods within an environment

Project description

InEnvCache

InEnvCache is a Python library designed to facilitate caching across pods within an environment, leveraging the Kubernetes API for distributed cache management. This framework allows for efficient and secure storage and retrieval of cached objects, making it ideal for applications running in Kubernetes clusters.

Features

  • Encryption Support: Secure your cached data with optional encryption.
  • Kubernetes Integration: Seamlessly integrates with Kubernetes for distributed caching across pods.
  • Environment Variable Fallback: Uses environment variables for caching if Kubernetes API is not accessible.
  • Thread-Safe Operations: Ensures thread safety with lock mechanisms for concurrent operations.

Quick Start

To get started with InEnvCache, follow these simple steps:

  1. Installation: First, install the library using pip:

    pip install inenvcache
    
  2. Initialization: Import and initialize InEnvCache in your Python application:

    from in_env_cache import InEnvCache
    
    # Create an instance of InEnvCache with optional encryption key
    cache = InEnvCache(key="my-secret-key")
    
  3. Set a Cache Value: Store a value in the cache with an optional time-to-live (TTL):

    cache.set("key1", "value1", ttl=600)
    
  4. Get a Cache Value: Retrieve a value from the cache:

    value = cache.get("key1")
    print(value)  # Output: value1
    
  5. Delete a Cache Value: Remove a value from the cache:

    cache.delete("key1")
    
  6. Flush the Cache: Clear all values from the cache:

    cache.flush_all()
    

With these steps, you can easily integrate InEnvCache into your Kubernetes-based applications for efficient caching solutions.

License

This project is licensed under multiple licenses:

  • For free users, the project is licensed under the terms of the GNU Affero General Public License (AGPL). See LICENSE-AGPL for more details.

  • For paid users, there are two options:

Please ensure you understand and comply with the license that applies to you.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inenvcache-0.0.100.tar.gz (21.0 kB view details)

Uploaded Source

Built Distribution

inenvcache-0.0.100-py3-none-any.whl (27.2 kB view details)

Uploaded Python 3

File details

Details for the file inenvcache-0.0.100.tar.gz.

File metadata

  • Download URL: inenvcache-0.0.100.tar.gz
  • Upload date:
  • Size: 21.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.19

File hashes

Hashes for inenvcache-0.0.100.tar.gz
Algorithm Hash digest
SHA256 c07b7edf03eeeb4b051f86da005a099aa3eab8ee8afbfd7c0b2e31fb2b5eb73e
MD5 372434448f4908ea3668d0a4a7365ad4
BLAKE2b-256 5a6998cd7518138b1addffeda2b0b113027e709b2159e1b43f2ae7abfd96b540

See more details on using hashes here.

File details

Details for the file inenvcache-0.0.100-py3-none-any.whl.

File metadata

  • Download URL: inenvcache-0.0.100-py3-none-any.whl
  • Upload date:
  • Size: 27.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.19

File hashes

Hashes for inenvcache-0.0.100-py3-none-any.whl
Algorithm Hash digest
SHA256 1576b2f8f14bf6980da162e2ff00efeb765624d2f476af620e5e52b2b2005b84
MD5 019c85d992e92a45088d3ed09de88507
BLAKE2b-256 30ea551cfaf06939a694e8c11de67dbdcfb056dff8f3b41eb63839e528c9454c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page