Memorystore (Redis, Memcached)
Quality Thoughts – Best GCP Cloud Engineering Training Institute in Hyderabad
Looking to become a certified GCP Cloud Engineer? Quality Thoughts in Hyderabad is your ideal destination. Our GCP Cloud Engineering course is tailored for graduates, postgraduates, working professionals, and even those from non-technical backgrounds or with educational gaps. We offer a strong foundation in Google Cloud Platform (GCP) through hands-on, real-time learning guided by certified cloud experts.
Our training includes an intensive live internship, focusing on real-world use cases with tools like BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Dataproc, and IAM. The curriculum covers both fundamentals and advanced GCP concepts including cloud-native app deployment, automation, and infrastructure provisioning.
We prepare you for GCP certifications like Associate Cloud Engineer, Professional Data Engineer, and Cloud Architect, with focused mentorship and flexible learning paths. Whether you're a fresher or a professional from another domain, our personalized approach helps shape your cloud career.
Get access to flexible batch timings, mock interviews, resume building, and placement support. Join roles like Cloud Engineer, Data Engineer, or GCP DevOps Expert after completion.
🔹 Key Features:
GCP Fundamentals + Advanced Topics
Live Projects & Data Pipelines
Internship by Industry Experts
Flexible Weekend/Evening Batches
Hands-on Labs with GCP Console & SDK
Job-Oriented Curriculum with Placement He
Memorystore (Redis, Memcached)
Memorystore (Redis, Memcached) is a fully managed, in-memory data store service offered by Google Cloud Platform (GCP). It provides high-performance, low-latency caching and data storage solutions to improve application speed and scalability. Memorystore supports two popular open-source caching engines: Redis and Memcached.
Memorystore for Redis
Redis is an advanced key-value store that supports complex data types like strings, hashes, lists, sets, and sorted sets. It offers features like:
Persistence: Optionally save data to disk for recovery.
Pub/Sub messaging: Enables real-time communication between services.
Atomic operations: Ensures thread-safe operations on data structures.
Replication and failover: High availability with automatic failover.
Use cases include session storage, leaderboards, real-time analytics, and queues.
Memorystore for Memcached
Memcached is a simpler, highly performant caching engine primarily used for:
Storing strings and objects: In memory to reduce database load.
Simple key-value caching: No persistence, replication, or complex structures.
It is ideal for use cases like database query caching, page rendering, and temporary data.
Key Benefits:
Fully managed: Google handles provisioning, patching, scaling, and failover.
Scalability: Easily scale vertically or horizontally depending on workload.
Secure: Integrated with VPC for private networking and IAM for access control.
Monitoring: Built-in metrics with Cloud Monitoring and Logging.
Memorystore allows developers to add powerful in-memory caching without managing infrastructure, boosting application performance and reliability in real-time scenarios.
Read More
Private Endpoints for Data Services
Network Security Groups (NSGs)
Visit Our Website
Visi Quality Thought Institue In Hyderabad
Comments
Post a Comment