Add Section on Observability to Redis Monitoring Blog (#2193)

* feat: add observability section to redis doc

* docs: refactor redis monitoring observability paragraph

- also changes the blog title
- remove existing paragraph
- rewrite integration approach paragraph with more info

* refactor: improve language  and add another backlink

Author: dhruv-signoz

data/blog/redis-monitoring.mdx

@@ -1,11 +1,11 @@
 ---
-title: "Complete Guide to Redis Monitoring: Essential Metrics, Tools & Best Practices 2025"
+title: "Redis Monitoring 101: A Complete Beginner's Guide (2025)"
 slug: "redis-monitoring"
-date: "2025-07-31"
-tags: [Monitoring, Redis]
+date: "2025-11-11"
+tags: [Monitoring, Observability, Redis]
 authors: [ankit_anand]
 description: "Master Redis monitoring with our comprehensive guide covering essential performance metrics, memory management, alerting strategies, and comparison of top monitoring tools including SigNoz, Prometheus, and Grafana for 2025."
-keywords: [redis monitoring, redis metrics, redis performance monitoring, redis memory monitoring, redis latency monitoring, redis cache monitoring, redis cluster monitoring, prometheus redis, grafana redis, redis alerting, redis troubleshooting, redis observability]
+keywords: [redis monitoring, redis metrics, redis performance monitoring, redis memory monitoring, redis latency monitoring, redis cache monitoring, redis cluster monitoring, prometheus redis, grafana redis, redis alerting, redis troubleshooting, redis observability, observability, signoz]
 ---
 
 Redis is a powerful tool, but its position in the critical path of applications means that performance issues can have a widespread impact. Whether you use Redis as a cache, session store, or primary database, effective monitoring is essential to prevent slowdowns and ensure a responsive user experience.
@@ -147,9 +147,12 @@ Develop a monitoring strategy that is aligned with your specific Redis use case.
 
 Set meaningful alert thresholds that are sensitive enough to catch issues early but not so sensitive that they generate excessive noise. Start with conservative thresholds and adjust them based on your operational experience.
 
-### Integration Approach
+### Integration with Observability Systems
 
-Correlate your [Redis metrics](https://signoz.io/blog/redis-monitoring/#error-metrics) with application performance indicators. Understanding how Redis performance impacts the end-user experience will help you prioritize your optimization efforts more effectively.
+Correlate your [Redis metrics](https://signoz.io/blog/redis-monitoring/#essential-redis-metrics) with application performance indicators. Understanding how Redis performance impacts the end-user experience will help you prioritize your optimization efforts more effectively.
+
+To achieve this correlation, instrument your application code with [Redis telemetry libraries](https://opentelemetry.io/ecosystem/registry/?s=redis&flag=all). These [OpenTelemetry](https://signoz.io/blog/what-is-opentelemetry/) libraries will capture the queries generated by the Redis engine. This gives you deep context into your application's interaction with Redis on a per-request basis- something metrics alone cannot provide.
+For example, you might discover that abnormally long cache `GET` operations are directly causing high latencies for the `user_info` endpoint.
 
 ## Redis Monitoring Tools Overview