Prometheus difference between two metrics

Prometheus difference between two metrics. What I would like to do is have a dashboard that represent the time passing between the occurrence of event1 (T1) and the occurrence of event2 (T2); basically T2-T1. Dashboards offer ‘drag-and-drop’ functionality. Prometheus: 50 Milliseconds -> 24 requests 100 Milliseconds -> 50 requests 300 Milliseconds -> 63 requests. Feb 16, 2021 · Prometheus monitoring is quickly becoming the Docker and Kubernetes monitoring tool to use. Which means subtracting two values with two different timestamps. Jul 30, 2023 · 1. I want to sum the diffence over time of kube_job_status_completion_time and kube_job_status_start_time sum(max_over_time( Jul 10, 2017 · The metric_awesome{instance="one"} - metric_awesome{instance="two"} returns empty result, because all the matching time series on the left side of -contain instance="one" label, while all the time series on the right side of -contain instance="two" label. Then it calculates the increase of the selected raw samples. Prometheus allows you to define alerting rules, query collected data, and integrate seamlessly with visualization tools like Oct 12, 2023 · In the example above, the status_code label has a cardinality of 5, app has a cardinality of 2 and the overall cardinality of the server_reponses metric is 10. offset (): The offset () function shifts a time series by a given duration. Sep 20, 2021 · OpenTelemetry is a vendor-agnostic instrumentation library. Both are solid options, but there are key differences between the two that users should keep in mind when making a decision. This makes it fundamentally incompatible with Prometheus, as Prometheus is a pull based model. # TYPE http_requests_total counter. This guide explains how to implement Kubernetes monitoring with Prometheus. That one argument actually is a Aug 10, 2023 · For stored Prometheus metrics, PromQL is the main way to query and retrieve the results you are looking for. Feb 4, 2020 · PromQL is the querying language that is part of Prometheus. It assumes that the data store is a bare time-series database and allows a direct write path to it. The same expression, but summed by application, could be written like this: Jan 8, 2020 · This is one of the main reason to distinguish between gauge and counters. These metric types fulfill the needs or requirements for most use cases, and are found in Prometheus’ official client Nov 1, 2021 · Hi, I am looking for a query or transformation to calculate the wait time between two metrics. In many cases, however, I only care about what the state of a metric is right now, and I'm having a hard time figuring out a reliable way to get the "most recent" value of a metric. It can be used for metrics like the number of requests, no of errors, etc. # HELP http_requests_total The total number of HTTP requests. Counter is a metric value that can only increase or reset i. You also need to specify a scrape interval - a delay between any two consecutive scrapes. – Monitoring Linux host metrics with the Node Exporter. The open-source Prometheus monitoring tool offers a built-in dashboarding functionality even though it considers Grafana its visualization solution. The rate () function in PromQL takes the history of metrics over a time Nov 24, 2017 · 2. 1:Instant Vector in Prometheus . The app allows you to retrieve Oct 31, 2021 · Hi, I am looking for a query to calculate the wait time between two metrics. The Prometheus server does not yet make use of the type information and flattens all data into May 10, 2018 · I want to compare this metrics and send ALERT if they are not equal trying for smth like this: alert: Compare expr: app_version{env="demo"} != app_version{env="live"} for: 5s labels: severity: page annotations: summary: Compare and this alert is green. OpenTelemetry is a more comprehensive observability framework with support for metrics, traces, and logs. Prometheus is a time-series metrics monitoring tool. This makes going from alert to console to code easy when Jun 27, 2018 · I have a question about calculating response times with Prometheus summary metrics. But indeed it shows 2 ways to do the same. Both Prometheus dashboard and Grafana allow users to query and graph time-series metrics stored in the Prometheus database, so deciding whether to use Jul 5, 2019 · I've read some pages about monitoring k8s, and I found kubernetes_sd_config (within prometheus), metrics-server (took the place of heapster) and kube-state-metrics. StatsD to Prometheus metrics exporter prometheus/statsd_exporter. go_gc_duration_seconds_count. For those interested in a Prometheus managed service or unifying metric monitoring with log and trace analysis, we’ll also weave Logz. (See Prometheus issues #3746 and 3806 for A LOT more detail. Which means the string test followed or not by other character (s). statsd_exporter. the value cannot reduce than the previous value. This means it captures the current state of various metrics at a specific moment in time. Counter and Gauge are simple to understand. Install Prometheus node_exporter. Jan 8, 2024 · Take the difference between two prometheus metric snapshots you need. Usually it is calculated as the difference between the last selected sample and the first selected sample. Brazil. There are two main types of vectors in Prometheus. Apr 3, 2019 · Both answers solve my problem. The average is calculated independently per each matching time series. Prometheus has been for a long time the go-to way for monitoring Kubernetes and cloud-native systems. You will learn to deploy a Prometheus server and metrics exporters, setup kube-state-metrics, pull and collect those metrics, and configure alerts with Alertmanager and Jan 12, 2024 · Prometheus and Grafana are both great observability solutions. MetricsQL. It is not suitable for text, logs, or event logs. The only difference is the range that was used to calculate the average values. You can identify counters by one of the following methods: the type in the textfile output (ex: # TYPE http_requests_total counter) the value is monotonically increasing (grafana proposes counter related function when it detects it) Oct 13, 2020 · Below 3 metric from ingress controller is available in our prometheus , i am trying to understand the difference between this metrics. Because the two tools play different roles in DevOps monitoring stacks, the data each provides is only part of the whole application status picture. /probe. What is the difference between rate and increase? In Prometheus, rate and increase are two metrics that are often used to measure the change in a value over time. Resource metrics may also have a different latency than other metrics. increase() increase(v range-vector) calculates the increase in the time series in the range vector. Prometheus is a technology that collects and stores time series data. For example, the following query selects all the series with names m1 and m2: {__name__=~"m1|m2"} So, the following query would select the max values over all the series with names m1 and m2 per each requested timestamp: Feb 11, 2021 · The author takes the metric besides others jvm_gc_collection_seconds_sum to compute GC Throughput. Sample - It's the actual time series consisting of a float64 value and timestamp in millisecond. However, there are some intentional differences between these two languages. jvm_gc_collection_seconds is a summary metric. That’s why I’ve curated a list of the top 5 metrics to monitor in your K8s environment. There are no time series pairs with identical sets of labels here. Remove the cumulative sum of requests to get the individual counts for each bucket. Query 1: max_over_time(counter{label="label1"}[5m]) Query 2: max_over_time(counter{label="label1"}[5m] offset 10m) There’s an exact match between the labels in both queries, so I don’t believe I need to use the on() function. 3"}, i. For example, if request duration is measured for To compare two metrics using PromQL, you can use the `-` operator. Dec 21, 2021 · Here are the definitions from the official document for rate() and irate(). Jan 5, 2018 · There are two problems with the architecture Heapster has chosen to implement. metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels. Main Differences. Enable Prometheus's dimensional data model to identify any given combination of labels for the same metric name. You should only use the =~ operator when comparing to a regular expression. ) To make up for the data it throws away, Prometheus uses extrapolation to adjust the result of the calculation. E. For example, the following query will return the difference between the `requests_total` and `errors_total` metrics for the last 5 minutes: rate (requests_total [5m]) – rate (errors_total [5m]) You can also use the `/` operator to calculate the ratio of two metrics. Type the below query in the query bar and click execute. Rate is a measure of the change in a value per unit of time. Start up a Prometheus instance on localhost that's configured to scrape metrics from the running Node Exporter. A third chart showing the elapsed time. Note that for Feb 21, 2024 · Pros of Grafana: Integrates with other platforms (including Prometheus) Co-ordination of metrics is fully visualised. I personally prefer to use only prometheus and not install another library "VictoriaMetrics". This is useful for cases where it is not feasible to instrument a given system with Prometheus metrics directly (for example, HAProxy or Linux system stats). Feb 13, 2023 · reading time. Oct 17, 2020 · The Prometheus adapter is a Kubernetes Aggregation Layer extension and operates as an extension API server. BUT I want now the difference between the last two values, independently from the specified time. With a time range equal to the step, one input value (i. These are currently only differentiated in the client libraries (to enable APIs tailored to the usage of the specific types) and in the wire protocol. the execution time by 50%. Aug 16, 2017 · Long answer: Prometheus provides two functions for calculating the average: avg_over_time calculates the average over raw sample stored in the database on the lookbehind window specified in square brackets. The sql_exporter presents a user interface for configuration, metrics, help, and profiling information. 9 min read. While a Prometheus server that collects only data about itself is not very useful, it is a good starting example. io Prometheus-as-a-service into the This topic walks you through the steps to create a series of dashboards in Grafana to display system metrics for a server monitored by Prometheus. The query language allows filtering and aggregation based on these dimensions. For example, if you idelta(v range-vector) calculates the difference between the last two samples in the range vector v, returning an instant vector with the given deltas and equivalent labels. Save the following basic Prometheus Mar 16, 2020 · Graphite and Prometheus seem pitted head-to-head in the world of monitoring right now. com Mar 25, 2020 · Mar 25, 2020. Below is an example of a full-fledged Prometheus metric exposition, including comments, HELP and TYPE expressions, a histogram, a summary, character escaping examples, and more. An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach. This will reduce. Keep in mind, though, that there’s a third, hidden range up to infinity, which logs the May 15, 2019 · I have a Prometheus metric called device_number. This can lead to differences in metric values for a specific sample time. Example: This will match the exact string test: process_cpu_seconds_total{instance="test"} This will match the regular expression test. metric_relabel_configs by contrast are applied Mar 31, 2020 · As with the Prometheus example, Ocenas recommended using a predefined configuration template to make sure the final labels are the same in Prometheus and Loki. The API is registered as "custom. g. the bucket from 200ms to 300ms. Individual organizations may want to approach some of these practices, e. May 20, 2019 · In our very simple example with its constant rate, this range does not make any difference. We can't really say one is better than the other, but in Aug 29, 2023 · But while Prometheus is primarily meant to monitor metrics, the Elasticsearch stack or the ELK stack is mainly used to collect, store, analyze, and visualize application logs. Time series - It's a combination of metric names and lables associated with the metric. This is likely what you are primarily interested in, when using multi-target exporters. Architecture: New Relic follows a centralized architecture, collecting data from monitored systems and sending it to the cloud. Nov 1, 2023 · The main difference today is that Prometheus supports data collection for just metrics, while Grafana agent can be used for collection and forwarding of traces and logs as well. Jul 24, 2021 · In Prometheus, scraping is configured via providing a static list of <host>:<port> scraping targets. What I want is to show the difference in value between now and one day/week/month etc ago. These functions help you analyze metrics at different points in time or compare data from different time periods. There are a number of libraries and servers which help in exporting existing metrics from third-party systems as Prometheus metrics. io/v1beta1". Prometheus provides a full stack, including the metric scraping as well as the backend, including a time-series database for storing the metrics, a UI, AlertManager and more. This may be a deal breaker if the use case involves a source that can experience delays. Dec 9, 2019 · I am trying to compile some stats over last 30 days of metrics. Prometheus, on the other hand, has a decentralized architecture, deploying exporters on each system to scrape metrics directly for storage and analysis. See this answer about the difference. It's also possible to configure a service-discovery-specific (consul, docker, kubernetes, ec2, etc. Configuration of sql_exporter involves defining collectors (statements to execute) and targets (database instances) to collect specific metrics. The metric and label conventions presented in this document are not required for using Prometheus, but can serve as both a style-guide and a collection of best practices. If you use your Prometheus with Grafana, which is the most typical way to do it, you can easily get a workaround for Prometheus by using Grafana's Loki. Since Prometheus exposes data in the same manner about itself, it can also scrape and monitor its own health. For more elaborate overviews of Prometheus, see the resources linked from the media section. May 2, 2019 · Scalars are comparable - but vectors in general are not. Time series are fundamental to Prometheus; its data model is arranged into: metrics that consist of a timestamp and a sample, which is the numeric value, such as how many disk bytes have been read or a stock price. The following two diagrams show exactly the same orders/minute metric. ) endpoint to fetch such a list at runtime. Metric and label naming. Mar 11, 2024 · For example, platform metrics are pre-aggregated and stored in a time-series database, while Prometheus metrics are stored as raw data. What the right way to compare 2 metrics? Jun 9, 2017 · It is a good practice in Prometheus ecosystem to expose additional labels, which can be joined to multiple metrics, via a separate info -like metric as explained in this article. Therefore, the proposal is to have a function in prometheus called ratio() which takes three parameters: The metric name; A set of (label, value) pairs; Another set of (label, value) pairs The short answer is to instrument everything. Having the same labels allows you to run similar queries and get data that is correlated across the apps. However, Prometheus has the edge in performance metrics. 2. Mar 19, 2021 · I have two PromQL queries in Grafana. Prometheus vs Grafana: Knowing the Difference. Loki’s design is inspired by Prometheus but for logs. Nov 14, 2023 · 1. In this example, I select all the values I have recorded within the last 1 minute for all time series that have the metric name prometheus_http_requests_total and a handler label set to /metrics: Prometheus is useful for monitoring app functionality, while Nagios is a very powerful platform for application networks and security. Text format example. 1. While Loki is a log aggregation tool, Prometheus is a metrics monitoring tool. --. Sep 9, 2019 · But the same is not true for counters. Jan 15, 2023 · I need to create two sister charts (ie, not inside this chart) that shows the start and end time of this metric’s time series. metrics. Agents are installed on systems for data collection. Labels are used for Prometheus dimensional data model. Summaries: The Ultimate Showdown. Dec 9, 2023 · How to aggregate two metrics. It has its own metrics, usually available at /metrics. So if you want to say scrape this type of machine but not that one, use relabel_configs. In this case 07:45. Every library, subsystem and service should have at least a few metrics to give you a rough idea of how it is performing. Details: metric1 (component=“xyz”, activityEndTime=“epoch time1”) — created at 11/01/2021 09:47:00 AM metric1 (component=“abc”, activityEndTime=“epoch time2”) — created at 11/01/2021 09:52:00 AM Looking for the query either time difference between the metrics (metric1 - metric1 May 26, 2019 · This is the basic difference between a time series database targeted for aggregated metrics and one designed to gather ‘raw metrics’ c – Prometheus monitoring rich ecosystem. Prometheus focuses on data acquisition, allowing users to select and aggregate time series data in real time. In this guide, you will: Start up a Node Exporter on localhost. While there are some differences in how the internal models work (read on for more information), the practical differences between the two from a developer’s point of view are more to do with the ecosystem. *. However, there is a subtle difference between the two metrics, which can be confusing for new users. Furthermore, OpenTelemetry Collector supports even more Jul 15, 2019 · That’s where DELTA comes in. InfluxDB seems to suffer no such limitations in this regard. While defining a new standard, OpenTelemetry also aims to work with existing metrics instrumentation protocols such as Prometheus and Statsd. InfluxDB to compare two modern monitoring solutions, examining their similarities and differences, and identify their best use cases. Since right now it's getting metrics every 30 seconds, I tried something like this: Prometheus collects metrics from targets by scraping metrics HTTP endpoints. , this case, first sister chart would show 2023-01-15 10:17:00 (as shown in the png below) and the second would show 2023-01-15 10:24:45. Instrumentation should be an integral part of your code. It knows how to communicate with both Kubernetes and Prometheus, acting as a translator between the two. When I look to my Spring Boot Prometheus endpoint I do not find this metric but find instead jvm_gc_pause_seconds. It’s ready to use and does a great job Oct 6, 2023 · A separate MySQL user account with minimal privileges should be created for monitoring purposes. How to sum difference in time between two metrics over last 30 days in PromQL. Base units. There are two ways of querying: Querying the exporter itself. the increase between two successive samples) is essentially discarded. k8s. The second was a bit late. Features. Grafana and Prometheus: Download Prometheus and node_exporter. For example, this expression returns the unused memory in MiB for every instance (on a fictional cluster scheduler exposing these metrics about the instances it runs): (instance_memory_limit_bytes - instance_memory_usage_bytes) / 1024 / 1024. The join is usually performed via on In the Prometheus histogram metric as configured above, almost all observations, and therefore also the 95th percentile, will fall into the bucket labeled {le="0. The result should look something like this: Apr 6, 2022 · The main difference between gauge and histogram metric types in Prometheus is that Prometheus captures only a single (last) value of the gauge metric when it scrapes the target exposing the metric, while histogram captures all the metric values by incrementing the corresponding histogram bucket. Configure Prometheus for Grafana. These metrics can be aggregated to give insights into the Exporters and integrations. Let's dive in and make an informed choice! 📊 Histograms vs. Jul 22, 2019 · I am trying to understand all the terms that is very frequently used in Prometheus explainations: Metrics: general feature of the system we want to monitor. My understanding, request_duration - time between the request reached in nginx and the response send back to client. Let’s take our example from earlier. Threshold breaches alert Jul 29, 2022 · In other words, Prometheus metrics are a strict subset of OpenTelemetry metrics. Prometheus's main features are: Jan 28, 2024 · OpenTelemetry vs Prometheus Detailed Comparison. Metric names. There are four primary Prometheus metric types PromQL can query: counters, gauges, histograms, and summaries. It follows a pull-based model, collecting metrics from configured targets at regular intervals. Instantiate the metric classes in the same file you use them. This introduction to PromQL will be largely decoupled from specific tools and the non Oct 13, 2020 · Prometheus metrics with timestamp. Install and configure Prometheus. metric1{ValueA=1, ValueB=2} metrics2(ValueB=2, ValueC=3} in PromQL where I want to have the following output? {ValueA=1, ValueB=4, ValueC=3} I'm trying to create a bar gauge in Grafana where I want to have the aggregate of this two metrics. I have a few counter metrics that describes, given a set of events, how many times each event happened. It has the following primary components: The core Prometheus app – This is responsible for scraping and storing metrics in an internal time series database, or sending data to a remote storage backend. A summary with a base metric name of <basename> exposes multiple time series during a scrape: streaming φ-quantiles (0 ≤ φ ≤ 1) of observed events, exposed as <basename>{quantile="<φ>"} the total sum of all observed values, exposed as <basename>_sum. OpenTelemetry excels in aggregating telemetry data across services, while Prometheus is optimal for detailed monitoring of specific services and infrastructure over time. See full list on iximiuz. idelta should only be used with gauges. Prometheus provides metric collection Nov 6, 2017 · To get the accurate total requests in a period of time, we can use offset: http_requests_total - http_requests_total offset 24h. A time series is uniquely identified by its metric name and an optional set of key-value pairs called labels. MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work the same after switching from Prometheus to VictoriaMetrics. One needs to have an array of comparable elements in order to determine minimum amongs them. For Prometheus is an open-source tool for collecting metrics and sending alerts. The Prometheus client libraries offer four core metric types. Because the rest of the Kubernetes ecosystem has first class Prometheus Oct 26, 2015 · A major design difference between the two means that with Prometheus, there's no easy way of attaching timestamps other than now to imported metrics. Surprisingly, a delta expression is super easy to set up in Prometheus, I didn’t have to fight it or go find Mr. Photo by Coffee Geek on Unsplash. Gauge. All of them could provides metri Feb 14, 2024 · Types of Vectors in Prometheus. naming conventions, differently. For example, the following query selects all the series with names m1 and m2: {__name__=~"m1|m2"} So, the following query would select the max values over all the series with names m1 and m2 per each requested timestamp: Sep 10, 2020 · The intended calculation can been done by traversing the data points once with two accumulating counters in hand. In this example, any Prometheus 4 days ago · OpenTelemetry Metrics is a standard on how to collect, aggregate, and send metrics to OpenTelemetry APM tools such as Uptrace or Prometheus. Usually available at a "descriptive" endpoint, e. See these docs. Checking around I don't find any useful documentation on how to do it. However, they were created with different priorities. e. In addition to PromQL, Prometheus provides a scraper that fetches metrics from instances (any application providing metrics) and a time series database (TSDB), which stores these metrics over time. Aug 10, 2022 · 2. In contrast, Prometheus is focused specifically on time-series metrics. Prometheus defines 4 types of metrics: Counter. Let’s take a look. . Here, we break down the most important distinctions and look at how the experience of using each service compares. When deciding between histograms and summaries in Prometheus, you'll want to consider the following factors: 1. Labels. At the top of the example pictured below is a Prometheus query. I just want something like panels_meters[0] - panels_meters[1] assuming panels_meters as an array of data sorted chronologically inverse. Something I would do, but doesn't work is: Counter. In this article, we will see what Prometheus and ELK stack is and compare their differences. Querying the exporter to scrape another target. The data point is a tuple of a timestamp and value. As you can see, even though they are different metrics, they share the same set of labels [event_type, result] and we would like to create a panel in Grafana that shows both of them aggregated as if they were the very same metric, just grouping them by event_type and result, so we would have a dropdown selector filled with all different event Prometheus provides a few time-shifting functions that allow you to shift or offset time series data. Breaks in monotonicity (such as Jan 12, 2024 · OpenTelemetry and Prometheus both have their perks and limitations. Relabel configs allow you to select which targets you want scraped, and what the target labels will be. Oct 24, 2023 · We'll explore the nuances of both metric types and provide guidance on selecting the right one for your specific use case. We needed to compare file sizes of a single Jul 14, 2023 · A histogram with two ranges (up to 200 ms and up to 500 ms) will serve this answer on a silver platter. I created a summary metric that does not only contain the service name but also the complete path and the http-method. Summary. This post will pit Prometheus vs. An instant vector in Prometheus represents a set of time series, each containing a single data point with the same timestamp. This blog post compares the two common monitoring tools Loki vs Prometheus, to help you understand their key differences. If you want to compare them you have to define mathematical metrics by which they can be measured. A counter metric represents a value which is always counting upwards. The Prometheus Node Exporter exposes a wide variety of hardware- and kernel-related metrics. Then came OpenTelemetry, which offers a unified way to collect The difference between Prometheus and Zabbix, which must be taken into account, is that Prometheus only stores the values of time series. Both OpenTelemetry and Prometheus are open-source projects under the Cloud Native Computing Foundation. To see the effect it has, let’s take a look at a real world example. Loki and Prometheus are both open source tools. Queries. The histogram implementation guarantees that the true 95th percentile is somewhere between 200ms and 300ms. increase will extrapolate the range so that we can see float number in the result. For example, consul_service_tags metric exposes a set of tags, which can be joined to metrics via (service_name, node) labels. Histogram. Grafana, on the other hand, focuses on data visualization. As we’ve established, monitoring your Kubernetes environment is important, but it could go to waste if you don’t use it efficiently. Prometheus enables you to capture time-series data as metrics. VictoriaMetrics implements MetricsQL - query language inspired by PromQL . I would like to compute the difference between these queries… Aug 10, 2022 · 2. But if you still don’t quite understand, check the examples below. A gauge, on the other hand, can go Mar 8, 2023 · Prometheus Metric Types. Presently, they are widely used in the observability space and serve complementary roles when used together. Here are the main time-shifting functions in PromQL: 1. PromQL allows selecting time series with multiple different names via regexp filter on __name__ pseudo-label. Time series is a set of data points indexed by time. All data in Prometheus is stored as time series. For example, avg_over_time(metric[1h]) calculates average values for Feb 2, 2019 · If the selected time range contains less than two raw samples, then Prometheus returns an empty value (a gap) at the timestamp t. The main functionality of Prometheus, besides monitoring, is being a time series database. Oct 21, 2022 · After a bunch of research, I provide below my attempt of a clear documentation for the usage of histogram/summary metrics. By using offset, the value is always integer because it just calculates the difference between start and end. Dec 31, 2023 · Prometheus: Prometheus is an open-source monitoring and alerting system that is highly adaptable to dynamic environments. Apr 3, 2017 · Prometheus needs to know what to scrape, and that's where service discovery and relabel_configs come in. It is stated: #HELP jvm_gc_pause_seconds Time spent in GC pause Is there a difference between this two metrics? Thanks a lot! Apr 1, 2022 · Keep an Eye on These 5 Key Kubernetes MetricsWith Prometheus. It identifies a particular dimensional instantiation of that metric (for example: all HTTP requests that used the method POST to the /api/tracks handler). Now I try to calculate the average response time for the complete service. the count of events that have been Prometheus collects and stores its metrics as time series data, i. It was developed by SoundCloud. Details: metric1 (component=“xyz”, activityEndTime=“epoch time1”) — created at 10/31/2021 09:47:00 AM metric1 (component=“abc”, activityEndTime=“epoch time2”) — created at 10/31/2021 09:52:00 AM Looking for the query either time difference between the metrics (metric1 - metric1) or retrieving Mar 18, 2023 · I'm working on a Grafana Dashboard with prometheus metrics. That is why min function in Prometheus has one argument not more. Nov 22, 2016 · Prometheus is built around returning a time series representation of metrics. It provides a set of tools, APIs, and SDKs to create and manage telemetry data (logs, metrics, and traces). You have two metrics you want to compare but it just won’t work! I’ll detail some examples here. . th ty bp lw hb mh kz xq vm ko