2024 to 2025 (#1074)

* Updated 2024 to 2025 for blogs, comparisons, and guides. * build
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diff --git a/data/blog/api-monitoring-complete-guide.mdx b/data/blog/api-monitoring-complete-guide.mdx
@@ -1,7 +1,7 @@
 ---
-title: The Ultimate Guide to API Monitoring in 2024 - Metrics, Tools, and Proven Practices
+title: The Ultimate Guide to API Monitoring in 2025 - Metrics, Tools, and Proven Practices
 slug: api-monitoring-complete-guide
-date: 2024-03-07
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [harish]
 description: API monitoring is critical because it ensures that APIs, which are integral to connecting and enabling functionalities across different software applications, operate reliably and...

diff --git a/data/blog/datadog-alternatives.mdx b/data/blog/datadog-alternatives.mdx
@@ -1,8 +1,8 @@
 ---
 
-title: Comparing The Top 9 Datadog Alternatives and Competitors in 2024
+title: Comparing The Top 9 Datadog Alternatives and Competitors in 2025
 slug: datadog-alternatives
-date: 2024-10-28
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [ankit_anand]
 description: Are you looking for DataDog alternatives? Then you've come to the right place. In this article, we will explore the top 9 alternatives to DataDog. 1.SigNoz 2.New Relic 3.Dynatrace...

diff --git a/data/blog/datadog-vs-prometheus.mdx b/data/blog/datadog-vs-prometheus.mdx
@@ -1,7 +1,7 @@
 ---
-title: DataDog vs Prometheus - Comprehensive Comparison Guide [2024]
+title: DataDog vs Prometheus - Comprehensive Comparison Guide [2025]
 slug: datadog-vs-prometheus
-date: 2024-02-07
+date: 2025-01-02
 tags: [Tools Comparison, Prometheus]
 authors: [ankit_anand]
 description: Datadog is a cloud-based SaaS solution, meaning there's no need to install or maintain any infrastructure. While on the other hand being open-source, Prometheus requires manual download and installation on your infrastructure...

diff --git a/data/blog/distributed-tracing-tools.mdx b/data/blog/distributed-tracing-tools.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 15 Distributed Tracing Tools for Microservices in 2024
+title: Top 15 Distributed Tracing Tools for Microservices in 2025
 slug: distributed-tracing-tools
-date: 2024-08-12
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [ankit_anand]
 description: Discover the best distributed tracing tools for microservices in 2024. Compare features, benefits, and use cases to optimize your application performance.

diff --git a/data/blog/dynatrace-alternatives.mdx b/data/blog/dynatrace-alternatives.mdx
@@ -1,7 +1,7 @@
 ---
-title: The Top 9 Dynatrace Alternatives & Competitors in 2024
+title: The Top 9 Dynatrace Alternatives & Competitors in 2025
 slug: dynatrace-alternatives
-date: 2024-08-08
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [daniel]
 description: Are you tired of Dynatrace's complex UI or find it very expensive? Here are top 9 Dynatrace alternatives & competitors in 2024. 1.SigNoz 2.Datadog 3.Appdynamics...

diff --git a/data/blog/elk-alternatives.mdx b/data/blog/elk-alternatives.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 14 ELK alternatives [open source included] in 2024
+title: Top 14 ELK alternatives [open source included] in 2025
 slug: elk-alternatives
-date: 2024-02-06
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [ankit_anand]
 description: There are many ELK alternatives that you can use for logs analytics. Top 14 ELK alternatives in 2024. 1.SigNoz 2.Logz.io 3.Graylog 4.Logtail 5.Sumologic 6.Grafana Loki...

diff --git a/data/blog/grafana-alternatives.mdx b/data/blog/grafana-alternatives.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 11 Grafana Alternatives & Competitors [2024]
+title: Top 11 Grafana Alternatives & Competitors [2025]
 slug: grafana-alternatives
-date: 2024-01-03
+date: 2025-01-02
 tags: [OpenTelemetry, Tools Comparison]
 authors: [daniel]
 description: Looking for Grafana alternatives? Grafana started out as a data visualization tool. While it can be a good choice for many use cases, if your use case is observability, then you should choose any of these Grafana alternatives...

diff --git a/data/blog/jaeger-vs-prometheus.mdx b/data/blog/jaeger-vs-prometheus.mdx
@@ -1,26 +1,22 @@
 ---
-title: Jaeger vs Prometheus - Side by Side Comparison [Updated for 2024]
+title: Jaeger vs Prometheus - Side by Side Comparison [Updated for 2025]
 slug: jaeger-vs-prometheus
-date: 2023-10-18
+date: 2025-01-02
 tags: [Tools Comparison, Jaeger, Prometheus]
 authors: [ankit_anand]
 description: Both Jaeger and Prometheus are popular open-source application performance monitoring tools. While Jaeger is an end-to-end distributed tracing tool, Prometheus is used as a time-series database for monitoring metrics. Let's dive in to explore their key features and differences.
 image: /img/blog/2023/10/jaeger-vs-prometheus-cover-min.jpg
-keywords: [jaeger,prometheus,distributed tracing,metrics,metrics monitoring,traces]
+keywords: [jaeger, prometheus, distributed tracing, metrics, metrics monitoring, traces]
 ---
+
 <head>
-  <link rel="canonical" href="https://signoz.io/blog/jaeger-vs-prometheus/"/>
+  <link rel="canonical" href="https://signoz.io/blog/jaeger-vs-prometheus/" />
 </head>
 
-
-
 Both Jaeger and Prometheus are popular open-source application performance monitoring tools. While Jaeger is an end-to-end distributed tracing tool, Prometheus is used as a time-series database for monitoring metrics. Let's dive in to explore their key features and differences.
 
-
-
 ![Cover Image](/img/blog/2023/10/jaeger-vs-prometheus-cover.webp)
 
-
 Application performance monitoring is the key to keep your system's health in check. In today's digital economy, no business can afford to have failed or delayed completion of user requests. Latencies of a few milliseconds can lead to lost business opportunities running in millions.
 Distributed tracing and metrics monitoring are both important for setting up a robust monitoring framework for your application.
 
@@ -31,6 +27,7 @@ Distributed tracing gives you insights into how user requests are performing acr
 Now that you understand a little bit about distributed tracing and metrics monitoring let us look at the features of Jaeger and Prometheus in detail.
 
 ## Key features of Jaeger
+
 Jaeger was originally built by teams at Uber and then open-sourced. It is used for end-to-end distributed tracing for microservices. Some of the key features of Jaeger includes:
 
 - **Distributed context propagation**<br></br>
@@ -48,19 +45,15 @@ Jaeger was originally built by teams at Uber and then open-sourced. It is used f
 - **Performance/latency optimization**<br></br>
   Once you have identified, which service or query is creating latency, you can use the information to optimize it.
 
-
-
-<figure data-zoomable align='center'>
-    <img className="box-shadowed-image"
-    alt="Jaeger UI"
-
-    src="/img/blog/2021/08/jaeger_ui-min.webp"
-    />
-<figcaption><i>Jaeger UI showing services and corresponding traces</i></figcaption>
-    </figure>
-
+<figure data-zoomable align="center">
+  <img className="box-shadowed-image" alt="Jaeger UI" src="/img/blog/2021/08/jaeger_ui-min.webp" />
+  <figcaption>
+    <i>Jaeger UI showing services and corresponding traces</i>
+  </figcaption>
+</figure>
 
 ## Key features of Prometheus
+
 Prometheus was initially developed at SoundCloud in 2012 before being released as an open-source project. It got accepted into the CloudNative Computing Foundation in 2016 and was the second project to graduate from the foundation, following Kubernetes.
 
 Prometheus enables you to capture time-series data as metrics. These metrics can be aggregated to give insights into the behavior of our systems. Some of the key features of Prometheus includes:
@@ -82,15 +75,16 @@ Prometheus enables you to capture time-series data as metrics. These metrics can
 - **Graphing and dashboarding support**<br></br>
   For visualization, Prometheus has three options: Prometheus Expression Browser, Grafana, and Prometheus Console Templates. Grafana is a popular data visualization tool, and it supports querying Prometheus. Although it requires time and effort to set up custom Prometheus metrics with Grafana, it can give you some solid visualization.
 
-<figure data-zoomable align='center'>
-    <img className="box-shadowed-image"
+<figure data-zoomable align="center">
+  <img
+    className="box-shadowed-image"
     alt="Prometheus metrics visualized with Grafana"
-
     src="/img/blog/2021/09/jaeger_vs_prometheus_grafana dashboard-min.webp"
-    />
-<figcaption><i>Prometheus metrics data visualization using Grafana</i></figcaption>
-    </figure>
-
+  />
+  <figcaption>
+    <i>Prometheus metrics data visualization using Grafana</i>
+  </figcaption>
+</figure>
 
 ## Comparing Jaeger and Prometheus
 
@@ -102,27 +96,31 @@ Easily installed in clusters using Helm charts or precompiled binaries from GitH
 **Jaeger:**<br></br>
 Requires a more intricate setup involving clients, agents, and collectors. Application code may need refactoring to generate traces.
 
-
 ### Features
 
 **Prometheus:**
+
 - Uses a multi-dimensional data model with time series identified by key-value pairs.
 - Offers a flexible query language, PromQL, for data analysis.
 - Provides a pull-based data collection model, scraping metrics from HTTP endpoints.
 - Integrates with Grafana for enhanced data visualization.
 
 **Jaeger:**
+
 - Focuses on distributed context propagation, allowing for the tracking of user requests across different services.
 - Offers a web UI for visualizing traces, spans, and service dependencies.
 - Enables root cause analysis by drilling down into services causing latency.
 - Supports performance and latency optimization.
 
 ### Ease of Use
+
 **Prometheus:**
+
 - Relatively straightforward to set up for basic monitoring.
 - Offers limited visualization capabilities in its native web UI. However, integration with Grafana provides richer insights.
 
 **Jaeger:**
+
 - More complex due to its architecture involving multiple components.
 - Provides a comprehensive web UI with trace data visualization and service dependency diagrams out of the box.
 
@@ -134,60 +132,60 @@ Uses a local on-disk time-series database without support for pluggable database
 **Jaeger:**<br></br>
 Offers pluggable storage backends, including Cassandra and Elasticsearch.
 
-
 ### When to Use Which?
+
 While both tools are invaluable in the monitoring space, their applications differ. Prometheus excels at monitoring metrics like resource usage, making it ideal for tracking system health. Jaeger, on the other hand, is tailored for distributed tracing, making it perfect for understanding user requests across microservices.
 
 For a holistic monitoring framework, integrating both tools can be beneficial. Prometheus can detect infrastructure anomalies, while Jaeger can help pinpoint application-level issues.
 
-
-{/* <!-- From the description above, you might have a good idea about the differences between Jaeger and Prometheus. The major difference between the two is that Jaeger is specifically meant for distributed tracing, and Prometheus is specifically meant for monitoring metrics.
-
 Summarizing the key differences between Jaeger and Prometheus:
 
-- Jaeger is an **end-to-end distributed tracing tool** used  to track user requests across services in microservice architecture. On the other hand, Prometheus is a **time-series metrics monitoring tool** used to track metrics like resource usage.
+- Jaeger is an **end-to-end distributed tracing tool** used to track user requests across services in microservice architecture. On the other hand, Prometheus is a **time-series metrics monitoring tool** used to track metrics like resource usage.
 
 - Jaeger has **push-based data collection** where trace data is sent to collectors, while Prometheus has a **pull-based data collection** model where it scrapes endpoints exposing Prometheus metrics.
 
 - Jaeger's web UI comes with out of box trace data visualization and service dependency diagrams. Prometheus out of box web UI is limited. You need to set up custom visualization with Grafana for better insights.
 
 - Jaeger supports pluggable storage backends for trace data. Cassandra and Elasticsearch are the primarily supported storage backends by Jaeger. Prometheus includes a local on-disk time-series database, but it does not provide any pluggable database.
 
-- Jaeger has a scalable architecture by design. On the other hand, Prometheus is designed for a single machine. It **cannot be scaled horizontally.** --> */}
-
-
+- Jaeger has a scalable architecture by design. On the other hand, Prometheus is designed for a single machine. It **cannot be scaled horizontally.** --> \*/}
 
 The issue with both tools is that they are limited to particular use-cases of distributed tracing and metrics monitoring. But for a robust monitoring framework, you need both metrics and traces. Engineering teams need to resolve issues fast, and they need access to a unified view of metrics and traces. That's where [SigNoz](https://signoz.io/) comes into the picture.
 
 ## Alternative to Jaeger and Prometheus - SigNoz
+
 SigNoz is a full-stack open-source application performance monitoring and observability tool which can be used in place of Jaeger and Prometheus. It provides logs, metrics, and traces under a single pane of glass.
 
 SigNoz is built to support OpenTelemetry natively. <a href = "https://opentelemetry.io/" rel="noopener noreferrer nofollow" target="_blank" ><b>OpenTelemetry</b></a> is becoming the world standard for generating and managing telemetry data (Logs, metrics and traces). It provides a fast OLAP datastore, ClickHouse as the storage backend.
 
 SigNoz comes with out of box visualization of things like RED metrics.
 
-<figure data-zoomable align='center'>
-    <img className="box-shadowed-image"
+<figure data-zoomable align="center">
+  <img
+    className="box-shadowed-image"
     alt="SigNoz UI showing the popular RED metrics"
-
     src="/img/blog/common/signoz_charts_application_metrics.webp"
-    />
-<figcaption><i>SigNoz UI showing application overview metrics like RPS, 50th/90th/99th Percentile latencies, and Error Rate</i></figcaption>
-    </figure>
-
+  />
+  <figcaption>
+    <i>
+      SigNoz UI showing application overview metrics like RPS, 50th/90th/99th Percentile latencies,
+      and Error Rate
+    </i>
+  </figcaption>
+</figure>
 
 You can also use [flamegraphs](https://signoz.io/blog/flamegraphs/) to visualize spans from your trace data. All of this comes out of the box with SigNoz.
 
-<figure data-zoomable align='center'>
-    <img className="box-shadowed-image"
+<figure data-zoomable align="center">
+  <img
+    className="box-shadowed-image"
     alt="Flamegraphs used to visualize spans of distributed tracing in SigNoz UI"
-
     src="/img/blog/common/signoz_flamegraphs.webp"
-    />
-<figcaption><i>Flamegraphs showing exact duration taken by each spans - a concept of distributed tracing</i></figcaption>
-    </figure>
-
-
+  />
+  <figcaption>
+    <i>Flamegraphs showing exact duration taken by each spans - a concept of distributed tracing</i>
+  </figcaption>
+</figure>
 
 Some of the things SigNoz can help you track:
 
@@ -202,16 +200,11 @@ Some of the things SigNoz can help you track:
 
 <GetStartedSigNoz />
 
-___
+---
 
 **Related Content**
 
 **[Jaeger vs ELastic APM](https://signoz.io/blog/jaeger-vs-elastic-apm/)**<br></br>
 **[Jaeger vs SigNoz](https://signoz.io/blog/jaeger-vs-signoz/)**<br></br>
 **[Jaeger vs Zipkin](https://signoz.io/blog/jaeger-vs-zipkin/)**<br></br>
 **[DataDog vs Prometheus](https://signoz.io/blog/datadog-vs-prometheus/)**<br></br>
-
-
-
-
-
diff --git a/data/blog/kibana-vs-grafana.mdx b/data/blog/kibana-vs-grafana.mdx
@@ -1,8 +1,8 @@
 ---
 
-title: Kibana vs. Grafana - A Scenario-Based Decision Guide [2024]
+title: Kibana vs. Grafana - A Scenario-Based Decision Guide [2025]
 slug: kibana-vs-grafana
-date: 2024-08-13
+date: 2025-01-02
 tags: [Tools Comparison]
 authors: [daniel, ankit_anand]
 description: Compare Kibana and Grafana to choose the best data visualization tool for your needs. Learn key features, use cases, and performance considerations.

diff --git a/data/blog/kubernetes-monitoring-tools.mdx b/data/blog/kubernetes-monitoring-tools.mdx
@@ -1,5 +1,5 @@
 ---
-title: Top 11 Kubernetes Monitoring Tools[Includes Free & Open-Source] in 2024
+title: Top 11 Kubernetes Monitoring Tools[Includes Free & Open-Source] in 2025
 slug: kubernetes-monitoring-tools
 date: 2023-12-21
 tags: [OpenTelemetry]

diff --git a/data/blog/loki-alternatives.mdx b/data/blog/loki-alternatives.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 11 Loki alternatives in 2024
+title: Top 11 Loki alternatives in 2025
 slug: loki-alternatives
-date: 2024-02-05
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [ankit_anand]
 description: There are many Loki alternatives that you can use for logs analytics. Top 11 Loki alternatives in 2024. 1.SigNoz 2.Logz.io 3.Graylog 4.Logtail 5.Sumologic ...

diff --git a/data/blog/mongodb-monitoring-tools.mdx b/data/blog/mongodb-monitoring-tools.mdx
@@ -1,8 +1,8 @@
 ---
 
-title: 11 Top MongoDB Monitoring Tools - Including Free & Open-Source [2024]
+title: 11 Top MongoDB Monitoring Tools - Including Free & Open-Source [2025]
 slug: mongodb-monitoring-tools
-date: 2024-09-30
+date: 2025-01-02
 tags: [OpenTelemetry]
 authors: [debanjan]
 description: Discover the top 11 MongoDB monitoring tools for 2024. Learn how to optimize your database performance and choose the right tool for your needs.

diff --git a/data/blog/mysql-monitoring-tools.mdx b/data/blog/mysql-monitoring-tools.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 11 MYSQL monitoring tools in 2024 [open-source included]
+title: Top 11 MYSQL monitoring tools in 2025 [open-source included]
 slug: mysql-monitoring-tools
-date: 2024-08-07
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [ankit_anand, daniel]
 description: Top MySQL Monitoring Tools List - 1.SigNoz 2.Prometheus 3.Dynatrace 4.Sematext 5.Solar winds 6.DataDog 7.MySQL Enterprise Monitor 8.Paessler PRTG Network Monitor...

diff --git a/data/blog/new-relic-alternatives.mdx b/data/blog/new-relic-alternatives.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 11 New Relic Alternatives & Competitors [Updated for 2024]
+title: Top 11 New Relic Alternatives & Competitors [Updated for 2025]
 slug: new-relic-alternatives
-date: 2024-01-07
+date: 2025-01-02
 tags: [OpenTelemetry, Tools Comparison]
 authors: [daniel, ankit_anand]
 description: Looking for New Relic alternatives? Are you facing issues with its pricing or complex UI? Here are top 11 New Relic alternatives & competitors that you can use in 2024. 1.SigNoz 2.AppDynamics 3.Dynatrace 4.Datadog...

diff --git a/data/blog/open-source-apm-tools.mdx b/data/blog/open-source-apm-tools.mdx
@@ -1,7 +1,7 @@
 ---
-title: Top 13 Open Source APM Tools [2024 Guide]
+title: Top 13 Open Source APM Tools [2025 Guide]
 slug: open-source-apm-tools
-date: 2024-11-04
+date: 2025-01-02
 tags: [Tech Resources]
 authors: [ankit_anand]
 description: Looking for an open source APM tool? Latest top open source APM tool list - 1.SigNoz 2.Graphite 3.Pinpoint 4.Prometheus 5.JavaMelody 6.StageMonitor 7.Scouter 8.Zipkin 9.Jaeger 10.Skywalking...

diff --git a/data/blog/open-source-log-management.mdx b/data/blog/open-source-log-management.mdx
@@ -1,7 +1,7 @@
 ---
-title: 7 Open-Source Log Management Tools that you may consider in 2024
+title: 7 Open-Source Log Management Tools that you may consider in 2025
 slug: open-source-log-management
-date: 2024-05-24
+date: 2025-01-02
 tags: [Tools Comparison]
 authors: [daniel]
 description: Top open source log management tools in 2024 1.SigNoz 2.Graylog 3.Logstash 4.FluentD 5.Syslog-ng...

diff --git a/data/blog/opentelemetry-nestjs.mdx b/data/blog/opentelemetry-nestjs.mdx
@@ -1,7 +1,7 @@
 ---
-title: OpenTelemetry Nestjs Tracing Implementation Guide [2024 Updated]
+title: OpenTelemetry Nestjs Tracing Implementation Guide [2025 Updated]
 slug: opentelemetry-nestjs
-date: 2024-08-07
+date: 2025-01-02
 tags: [OpenTelemetry Instrumentation, JavaScript]
 authors: [ankit_anand, vishal]
 description: Setting up OpenTelemetry instrumentation for a Nestjs application. Step 1. Install required dependencies Step 2. Create a tracer.js file Step 3. Import the tracer module Step 4. Start the tracer...

diff --git a/data/blog/opentelemetry-vs-jaeger.mdx b/data/blog/opentelemetry-vs-jaeger.mdx
@@ -1,7 +1,7 @@
 ---
-title: OpenTelemetry and Jaeger | Key Features & Differences [2024]
+title: OpenTelemetry and Jaeger | Key Features & Differences [2025]
 slug: opentelemetry-vs-jaeger
-date: 2024-01-15
+date: 2025-01-02
 tags: [Tools Comparison, Jaeger]
 authors: [ankit_anand]
 description: OpenTelemetry is a broader, vendor-neutral framework for generating and collecting telemetry data (logs, metrics, traces), offering flexible backend integration. Jaeger, on the other hand, is focused on distributed tracing in microservices...