Accelerate data retrieval
Cuts wait time when applications read the same data repeatedly, giving end users a smoother experience.
A high-performance caching solution that keeps applications responsive and reduces load on the database.
HiTechCloud Caching Service (vCAS) handles high request volumes smoothly and takes significant load off backend systems. Frequently accessed data is held in the cache, so applications respond faster and query the database directly far less often.
With seamless integration into Kubernetes and microservices platforms, vCAS can act as a session store, a caching layer for APIs or a flexible data transport mechanism, removing bottlenecks in day-to-day operations.
Cuts wait time when applications read the same data repeatedly, giving end users a smoother experience.
Reduces direct queries to the database, keeping the system stable and resilient when traffic rises.
Saves bandwidth, CPU and processing resources through intelligent caching, applicable across multiple application layers.
Shortens testing, deployment and scaling in the CI/CD process, particularly with microservices architectures.
From traditional web applications to microservices, vCAS helps build a fast caching layer that is easy to manage and scale.
Create cache instances from a visual management console, reducing infrastructure preparation and manual configuration time.
Built on a widely used caching platform with high performance, low latency, and broad integration into modern applications.
Track resources, RAM and CPU usage and cache instance metrics clearly so you can tune operations proactively.
Runs flexibly as a session store, message queue or pub/sub mechanism for moving data between services.
Add a cache layer to your container ecosystem so cloud-native applications run consistently and flexibly.
Add a high-speed caching layer in front of databases and partner systems, reducing the risk of overload when request volumes spike.
Cache the results of complex computations over large datasets for statistical reports, cutting latency and limiting table locking and CPU overload.
Manage shopping cart state or user data in a microservices/cluster architecture, keeping sessions available as the load balancer distributes requests.
Cache results from external services such as exchange rates, GeoIP or authentication tokens to cut cost, avoid rate-limit errors and maintain availability.
Speeds up responses by serving landing pages as static HTML, improving Time to First Byte and absorbing sudden traffic spikes.
Prices exclude VAT. Select a term and the system updates the total cost for each plan.
Suited to websites, small applications or test environments that need a high-speed cache.
A balanced configuration for e-commerce applications, APIs and session stores.
More resources for teams, microservices and analytics dashboards.
For high-traffic systems that need a durable cache layer and plenty of memory.
HiTechCloud works with you from architecture assessment and identifying what to cache, through resource design to day-to-day operation.
Get advice on vCPU/RAM sizing, where to place the cache layer, and how to integrate with databases, APIs, Kubernetes or microservices.
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