fixes

Author: yuvraajsj18

data/blog/angular-graphql.mdx

@@ -29,7 +29,7 @@ GraphQL is a query language and server-side runtime for APIs developed by Facebo
 
 Because of its design to make APIs fast, flexible, and developer-friendly, it is currently the most popular alternative for REST-based client-server communication.
 
-In this tutorial, we will build a simple To-Do app with functionalities to list, add and delete tasks to illustrate how [Angular GraphQL](https://signoz.io/blog/angular-graphql/#creating-graphql-mutations) works.
+In this tutorial, we will build a simple To-Do app with functionalities to list, add and delete tasks to illustrate how Angular GraphQL works.
 
 The tutorial is divided into two sections:
 

data/blog/apm-tools.mdx

@@ -265,7 +265,7 @@ The visualization layer of Prometheus is basic, but it is generally used with Gr
 
 <a href = "https://www.honeycomb.io/" rel="noopener noreferrer nofollow" target="_blank" ><b>Honeycomb</b></a> is a cloud-based APM tool with support for events, logs, and traces. Honeycomb provides an easy-to-use performance monitoring tracing solution.
 
-Some of the key features of the [Honeycomb APM](https://signoz.io/comparisons/honeycomb-vs-datadog/) tool includes:
+Some of the key features of the Honeycomb APM tool includes:
 
 - Quickly diagnose bottlenecks and optimize performance with a waterfall view to understand how your system is processing service requests
 - Full-text search over trace spans and toggle to collapse and expand sections of trace waterfalls
@@ -359,7 +359,7 @@ Some of the key features of Splunk APM tool includes:
 - Grouping of traces with tags to filter out common business workflows
 - Alert system to alert DevOps teams based on static thresholds, sudden changes, or historical anomalies
 
-[Splunk APM pricing](https://signoz.io/comparisons/appdynamics-vs-splunk/) starts at \$55 per host per month, billed annually.
+Splunk APM pricing starts at \$55 per host per month, billed annually.
 
 <figure data-zoomable align='center'>
     <img className="box-shadowed-image"

data/blog/cloudwatch-alternatives.mdx

@@ -304,7 +304,7 @@ While exploring CloudWatch alternatives, it's worth considering SigNoz—an open
 
 ## Best Practices for Implementing a New Monitoring Solution
 
-When transitioning to a [CloudWatch alternative](https://signoz.io/blog/cloudwatch-alternatives/#key-factors-to-consider-when-choosing-a-cloudwatch-alternative), follow these best practices:
+When transitioning to a CloudWatch alternative, follow these best practices:
 
 1. **Define Clear Objectives**: Establish specific monitoring goals and KPIs before implementation.
 2. **Plan Data Migration**: Develop a strategy for migrating historical data and preserving critical insights.

data/blog/datadog-vs-cloudwatch.mdx

@@ -58,7 +58,7 @@ Differences between DataDog and CloudWatch can be summarized below:
   <img
     className="box-shadowed-image"
     src="/img/blog/2023/12/new-relic-alternatives-datadog.webp"
-    alt="[Datadog vs Cloudwatch](https://signoz.io/blog/cloudwatch-alternatives/) - Datadog dashboard"
+    alt="Datadog vs Cloudwatch - Datadog dashboard"
   />
   <figcaption>
     <i>Datadog APM (source: Datadog website)</i>

data/blog/distributed-tracing-tools.mdx

@@ -29,7 +29,7 @@ Here, we'll look at some of the best distributed tracing tools. We'll see what e
 | Datadog | Commercial | Wide range of integrations, unified platform | Tiered pricing |
 | Elastic APM | Open-source / Commercial | Part of ELK stack, machine learning features | Free (basic), Tiered pricing for advanced features |
 
-Now, let's explore the top 15 [distributed tracing tools](https://signoz.io/blog/distributed-tracing-tools/#why-use-new-relic-for-distributed-tracing) in 2025.
+Now, let's explore the top 15 [distributed tracing tools](https://signoz.io/blog/distributed-tracing-tools/) in 2025.
 
 ## SigNoz
 
@@ -120,7 +120,7 @@ Besides, note that it can be challenging to set up Grafana Tempo as the document
 <Figure src="/img/blog/2025/06/distributed-tracing-tools-BAM.webp" alt="Turbo360 BAM dashboard" caption="Turbo360 BAM dashboard" />
 
 <a href="https://turbo360.com/business-activity-monitoring" rel="noopener noreferrer nofollow" target="_blank">Turbo360</a> is an enterprise tool ideal for distributed tracing in cloud-native and hybrid microservice
-architectures. Business Activity Monitoring (BAM) functionality is at the heart of Turbo360's distributed [tracing solution](https://signoz.io/blog/distributed-tracing-tools/#why-use-dynatrace-for-distributed-tracing).
+architectures. Business Activity Monitoring (BAM) functionality is at the heart of Turbo360's distributed tracing solution.
 
 ### Why Use Turbo360 for Distributed Tracing
 
@@ -169,7 +169,7 @@ This limit can lead to inconsistencies in environments where services generate h
 ### Why Use New Relic for Distributed Tracing
 
 - Provides built-in APM agents that automatically instrument your code, capture trace data, and apply adaptive sampling techniques.
-- Support for open-source [tracing tools](https://signoz.io/blog/distributed-tracing-tools/#a-quick-comparison-of-top-distributed-tracing-tools) and standards like OTel
+- Support for open-source tracing tools and standards like OTel
 - Correlation of tracing data with other aspects of application infrastructure and user monitoring
 - Fully managed cloud-native experience with on-demand scalability
 - For even deeper insights, New Relic's Infinite Tracing uses tail-based sampling to collect all the spans across a trace for long-term retention and detailed querying.

data/comparisons/opentelemetry-events-vs-logs.mdx

@@ -432,7 +432,7 @@ As observability practices evolve, several trends are shaping the future of Open
 - Choose events for precise tracking of actions and state changes; use logs for debugging and [continuous monitoring](https://signoz.io/comparisons/continuous-monitoring-tools/).
 - OpenTelemetry offers a standardized approach to both events and logs, simplifying data collection and analysis.
 - Effective observability strategies often combine events and logs for comprehensive insights.
-- Tools like SigNoz can significantly streamline the management and analysis of [OpenTelemetry events](https://signoz.io/blog/kubernetes-events-monitoring/) and logs.
+- Tools like SigNoz can significantly streamline the management and analysis of OpenTelemetry events and logs.  
 - Future trends point towards more integrated, AI-driven approaches to event and log analysis in observability practices.
 
 ## FAQs

data/comparisons/opentelemetry-trace-id-vs-span-id.mdx

@@ -10,7 +10,7 @@ keywords: [OpenTelemetry, Trace ID, Span ID, distributed tracing, observability,
 
 ---
 
-Distributed systems pose unique challenges for developers and operations teams. How do you track a request as it travels through multiple services? Enter OpenTelemetry — a powerful observability framework that's changing the game. At its core, OpenTelemetry uses two key concepts: Trace ID and [Span ID](https://signoz.io/blog/distributed-tracing-span/). But what exactly are these, and how do they differ?
+Distributed systems pose unique challenges for developers and operations teams. How do you track a request as it travels through multiple services? Enter OpenTelemetry — a powerful observability framework that's changing the game. At its core, OpenTelemetry uses two key concepts: Trace ID and [Span ID](https://signoz.io/comparisons/opentelemetry-trace-id-vs-span-id/). But what exactly are these, and how do they differ?
 
 In this article, you'll learn about the fundamentals of tracing in OpenTelemetry, including a deep dive into Trace IDs and Span IDs, how they help in tracking requests across distributed services, and how to implement them effectively. Additionally, we'll cover best practices for setting up and managing tracing within your application, including strategies to minimize performance overhead while maximizing observability insights. Whether you're new to OpenTelemetry or looking to refine your observability practices, this guide provides a comprehensive roadmap to successful tracing implementation in distributed systems.
 

data/guides/microservices-monitoring.mdx

@@ -242,7 +242,7 @@ Developing an effective monitoring strategy for your microservices architecture
 
 ### 3. Implement Distributed Tracing
 
-- Choose a [tracing solution](https://signoz.io/blog/distributed-tracing-tools/#why-use-dynatrace-for-distributed-tracing) (e.g., [SigNoz](https://signoz.io), Zipkin)
+- Choose a [tracing solution](https://signoz.io/blog/distributed-tracing-tools/) (e.g., [SigNoz](https://signoz.io), Zipkin)
 - Instrument your services to generate trace data
 - Correlate traces with logs and metrics for comprehensive analysis