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Redis

STACKIT Redis Service provides fully managed instances of the open source non-relational key value store Redis.
  • changed

    Additional IP Addresses for our Service Gateways

    To ensure service stability and expand our capacity, we are extending our IP address range.

    Newly Added IP Addresses / Subnet: 192.214.164.208/28 We kindly ask you to review and adjust your network and firewall rules accordingly.

    • New Orders: The addresses are available immediately for newly provisioned instances.
    • Existing Instances: To ensure optimal load distribution, existing instances can also be addressed via one of the new IP addresses starting from November 1, 2025.

    The previously used IP addresses (45.129.44.191, 45.135.247.226, 193.148.164.98) will remain active. This adjustment affects the following products: MariaDB, RabbitMQ, Redis, OpenSearch, and LogMe. Our Help Center is always at your disposal if you have any questions.

  • changed

    Additional IP Addresses for our Service Gateways

    To improve the stability and performance of our services, we’ve added two new IP addresses to our service gateway:

    • 45.129.44.191
    • 193.148.164.98

    Action Required: Please update your firewall or network configurations to include these new IP addresses. The existing IP address 45.135.247.226 will remain active, but we recommend adding the new ones to ensure continued, uninterrupted access to our services. This is affecting our Sevices: MariaDB, RabbitMQ, Redis, OpenSearch and LogMe on our external Environment only. Our Help Center is always at your disposal if you have any questions.

  • changed

    Update to idle connection timeout for exposed STACKIT Data Services

    We would like to inform you that the 28.07.25 version has been updated. This change affects the idle connection timeout for the following services: MariaDB, Redis, RabbitMQ, LogMe2, and OpenSearch. Previously set to several days, the timeout is now reduced to 60 minutes. Note: This change applies only to the above-mentioned Data Services and does not affect their Cloud Foundry counterparts ordered through the Cloud Foundry Marketplace. Key Benefits:

    • Optimised Resource Management: The new timeout setting helps manage system resources more effectively by reducing inactive connections.
    • Increased Stability: Users will experience fewer connection resets and timeouts, resulting in a more stable and reliable service.

    This change is part of our ongoing efforts to enhance performance and reliability.

    Our Help Center is always at your disposal if you have any questions.

My service usage is growing, what can I do?

Section titled “My service usage is growing, what can I do?”

You can upgrade to a bigger service plan (scale up) or you can get another instance (scale out).

What are the IP ranges used in the default ACL?

Section titled “What are the IP ranges used in the default ACL?”

During creation of new data services, a default ACL is set. This contains the STACKIT IP ranges and provides an additional layer of security in addition addition to username/password. The default ACL contains the following values: | Project type | Default ACL | | ------------ | ----------- | | public | 193.148.160.0/19 | | | 45.129.40.0/21 | | | 45.135.244.0/22 | | internal | 4.158.0.0/15 |

It is recommended to narrow it down to the actually used addresses.

Why do I see two services on the service list?

Section titled “Why do I see two services on the service list?”

We create a public instance for use with Kubernetes and VMs and and an internal instance within the AppCloud

Do you have any open questions that are not answered in any of our docs?

Section titled “Do you have any open questions that are not answered in any of our docs?”

Feel free to create a service request in the STACKIT Help Center.

Achieve microsecond response times with Redis’ in-memory architecture. Perfect for workloads requiring ultra-fast reads and writes, from caching to real-time analytics.

Go beyond key-value storage with support for rich data types including strings, lists, sets, sorted sets, hashes, bitmaps, hyperloglogs, and streams. Enable complex data modeling without external processing.

Combine the speed of memory with the durability of disk by using snapshotting (RDB) and append-only files (AOF). Flexible persistence ensures data safety while maintaining high throughput.

Ensure uptime with Redis Sentinel for automatic failover and health monitoring. Scale horizontally with Redis Cluster, which shards data across multiple nodes for seamless distribution and fault tolerance.

Enable event-driven architectures with publish/subscribe messaging and Redis Streams. Deliver real-time feeds, notifications, and log aggregation with minimal latency.

Boost application performance with Redis as a caching layer. Support session storage, query result caching, and application-level acceleration with fine-grained eviction policies (LRU, LFU, TTL).

Protect your deployments with TLS encryption, role-based access control (ACLs), and integration with enterprise authentication systems. Keep sensitive data safe in distributed environments.

Extend Redis functionality with modules such as RedisJSON, RediSearch, and RedisTimeSeries. Add document-style queries, full-text search, and time-series analytics without separate systems.

Redis powers performance-critical and real-time applications across industries. Here are scenarios where it delivers exceptional value:

Accelerate page loads, API calls, and dynamic content delivery by storing frequently accessed data in memory. Reduce backend load and improve user experience.

Store and retrieve user session data with minimal latency. Ideal for authentication tokens, shopping carts, and personalized content in high-traffic environments.

Process and display metrics, counters, and streaming events instantly. Redis Streams and sorted sets enable live dashboards, anomaly detection, and monitoring solutions.

Support multiplayer gaming platforms with real-time leaderboards, matchmaking, and state management. Sorted sets provide efficient ranking and score updates.

Leverage Redis Pub/Sub and Streams for chat applications, notifications, and IoT event processing. Guarantee fast message delivery with minimal overhead.

Enable feature stores and real-time inference pipelines by caching embeddings, model results, or frequently accessed datasets. Redis delivers sub-millisecond data access for AI-driven applications.

Handle shopping carts, order tracking, inventory counts, and fraud detection with high performance and reliability. Combine caching, queues, and real-time analytics in one system.