Adding content to 101-high-availability

src/roadmaps/system-design/content/118-cloud-design-patterns/103-reliability-patterns/101-high-availability/bulkhead.md

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-# Bulkhead
+# Bulkhead
+
+Bulkhead in system design refers to a technique for isolating different parts of a system to prevent one part from affecting the performance of the whole system. The term "bulkhead" is used to refer to the partitions or walls that are used to separate different parts of the system. It allows to Isolate critical parts of the system, prevent cascading failures and provide isolation for different types of requests. It can be implemented in several different ways such as Thread pools, Circuit breakers, and Workers.
+
+Learn more from the following links:
+
+- [Bulkhead pattern](https://learn.microsoft.com/en-us/azure/architecture/patterns/bulkhead)
+- [Get started with Bulkhead](https://dzone.com/articles/resilient-microservices-pattern-bulkhead-pattern)

src/roadmaps/system-design/content/118-cloud-design-patterns/103-reliability-patterns/101-high-availability/circuit-breaker.md

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-# Circuit breaker
+# Circuit Breaker
+
+
+Learn more from the following links:
+
+- [Circuit breaker design pattern](https://en.wikipedia.org/wiki/Circuit_breaker_design_pattern)
+- [Overview of Circuit Breaker](https://medium.com/geekculture/design-patterns-for-microservices-circuit-breaker-pattern-276249ffab33)

src/roadmaps/system-design/content/118-cloud-design-patterns/103-reliability-patterns/101-high-availability/deployment-stamps.md

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-# Deployment stamps
+# Deployment Stamps
+
+Deployment Stamps in system design refers to a technique used to manage the deployment of a system across different environments, such as development, staging, and production. A deployment stamp is a set of environment-specific configurations and settings that are applied to the system during the deployment process. It allows to manage environment-specific configurations, ensure consistency across environments, and simplify the deployment process. It can be implemented in several different ways such as Configuration files, Environment variables and Deployment script.
+
+To learn more visit the following links:
+
+- [Deployment Stamps pattern](https://learn.microsoft.com/en-us/azure/architecture/patterns/deployment-stamp)
+- [Deployment Stamps 101](https://blog.devgenius.io/deployment-stamps-101-7c04a6f704a2)

src/roadmaps/system-design/content/118-cloud-design-patterns/103-reliability-patterns/101-high-availability/geodes.md

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-# Geodes
+# Geodes
+
+Geodes in system design refers to a technique of partitioning a large dataset into smaller chunks, called geodes, that can be stored and processed more efficiently. Geodes are similar to shards in database partitioning, but the term is often used in the context of distributed systems and data processing. It allows to Scale the system, Improve performance and balance the load. It can be implemented in several different ways such as Hashing and Range-based partitioning.
+
+To learn more visit the following links:
+
+- [Geode pattern](https://learn.microsoft.com/en-us/azure/architecture/patterns/geodes)
+- [Geode Formation, Types & Appearance | What is a Geode?](https://study.com/academy/lesson/geode-formation-types-appearance.ht)

src/roadmaps/system-design/content/118-cloud-design-patterns/103-reliability-patterns/101-high-availability/health-endpoint-monitoring.md

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-# Health endpoint monitoring
+# Health Endpoint Monitoring
+
+Health Endpoint Monitoring in system design refers to a technique for monitoring the health of a system by periodically sending requests to a specific endpoint, called a "health endpoint", on the system. The health endpoint returns a response indicating the current status of the system, such as whether it is running properly or if there are any issues. It allows to Monitor the overall health of the system, Provide insight into the system's performance, and automate the process of monitoring. It can be implemented in several different ways such as Periodic requests and Event-based monitoring.
+
+To learn more visit the following links:
+
+- [Health Endpoint Monitoring pattern](https://learn.microsoft.com/en-us/azure/architecture/patterns/health-endpoint-monitoring)
+- [Explaining the health endpoint monitoring pattern](https://www.oreilly.com/library/view/java-ee-8/9781788830621/5012c01e-90ca-4809-a210-d3736574f5b3.xhtml)

src/roadmaps/system-design/content/118-cloud-design-patterns/103-reliability-patterns/101-high-availability/index.md

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-# High availability
+# High availability
+
+
+Learn more from the following links:
+
+- [What is High availability (HA)?](https://www.techtarget.com/searchdatacenter/definition/high-availability)
+- [Introduction to High Availability Architecture](https://www.filecloud.com/blog/an-introduction-to-high-availability-architecture/)