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Redis says it has launched five capabilities aimed at teams operating large deployments: Redis Radar for estate-wide visibility, a new Datadog integration, multi-source and multi-pipeline Redis Data Integration (RDI), Smooth Scaling for Redis Cloud Pro, and Search on Redis Flex. The company positions the update around operating, building and scaling Redis across cloud, on-premises and mixed environments.
A broader operational view
Redis Radar provides a centralized view of Redis deployments across environments and domains, including open source deployments. Redis says it can help platform teams identify excess capacity, spot possible capacity needs and support planning around governance, licensing and operations. The Datadog integration is intended to place Redis metrics and monitoring within established observability workflows.
Multiple systems into one layer
The expanded RDI capabilities target organizations whose data is spread across transactional databases, warehouses, legacy systems and other stores. Multi-source and multi-pipeline support allows data from several systems to be synchronized into Redis while each pipeline is managed on its own schedule. The stated use case is a unified, frequently accessed data layer for real-time applications and AI-enabled workloads.
Scaling remains manual
Smooth Scaling changes the underlying provisioning process for Redis Cloud Pro so capacity adjustments can be more efficient and less disruptive to database clients. Redis explicitly says the feature does not provide automatic or scheduled scaling: customers still initiate scaling through the existing workflow. The capability is aimed at workloads whose demand rises and falls around launches, seasonal events or traffic spikes.
Search beyond RAM
Search on Redis Flex allows indexes that are too large for memory to reside on SSD. Redis Flex keeps hotter data in RAM and stores the remainder on SSD, an architecture the company describes for large workloads such as fraud detection, feature stores and session stores. The update expands Redis search to datasets where memory capacity is no longer the only sizing constraint.
Source: Redis introduces new capabilities to help you operate, build, and scale with confidence
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