Introduction to Amazon Managed Grafana and its use cases

In this recipe, we will learn about Amazon Managed Grafana. We will also learn about the use cases of Amazon Managed Grafana.

Recipe Objective - Introduction to Amazon Managed Grafana and its use cases?

The Amazon Managed Grafana is a widely used service and is defined as a fully managed service built in collaboration with Grafana Labs for the open source Grafana project. Grafana is a popular open source analytics platform that lets users query, visualise, alert on, and understand their metrics from any location. Users can analyse their metrics, logs, and traces with Amazon Managed Grafana without having to provision servers, configure and update software, or do the heavy lifting of securing and scaling Grafana in production. Users can spend less time managing their Grafana infrastructure and more time improving the health, performance, and availability of their applications by creating, exploring, and sharing observability dashboards with their team. Connect Amazon Managed Grafana to users' observability stack's multiple data sources, including AWS data sources like Amazon Managed Service for Prometheus, Amazon CloudWatch, and Amazon Elasticsearch Service, third-party ISVs like Datadog and Splunk, and self-managed data sources like InfluxDB. With Amazon Managed Grafana, Users can securely add, query, visualise, and analyse their AWS data across multiple accounts and regions with just a few clicks in the AWS Console.

Benefits of Amazon Managed Grafana

  • Amazon Managed Grafana creates, packages, and deploys workspaces for users, taking care of provisioning, scaling, and maintenance so users don't have to. To analyse their metrics, logs, and traces, users can create Grafana dashboards and visualisations in each workspace. Users create Grafana workspaces with Amazon Managed Grafana to define user access and policy controls for data sources users specify and thus users can enjoy the power of Grafana at scale. Amazon Managed Grafana integrates natively with AWS data sources that collect operational data, automatically discovering resources in their AWS account or across Organizational Units, and provisioning the appropriate AWS Identity and Access Management (IAM) policies to access the data. Amazon CloudWatch, Amazon Elasticsearch Service, AWS X-Ray, AWS IoT SiteWise, Amazon Timestream, and Amazon Managed Service for Prometheus are some of the AWS data sources. These data sources can be queried across multiple AWS accounts and Regions. Graphite, InfluxDB, and other popular third-party data sources are also supported by Amazon Managed Grafana and thus it visualizes, analyzes, and correlates securely across multiple data sources. To meet users' corporate security and compliance requirements, Amazon Managed Grafana integrates with multiple AWS security services and supports AWS Single Sign-On as well as Security Assertion Markup Language (SAML) 2.0. Users can grant users in their corporate directory access to specific dashboards and data sources when setting up a workspace in Amazon Managed Grafana, and control their read/write access without having to manage multiple user identity pools. Third-party auditors can assess security and compliance as part of multiple AWS compliance programmes, such as AWS CloudTrail logs, and users can track changes made to workspaces for compliance and audit logging.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Managed Grafana and the Use cases of Amazon Managed Grafana.

Use cases of Amazon Managed Grafana

    • It provides Unified observability

Amazon Managed Grafana allows users to query and correlate metrics, logs, and traces from various tools, and then view and analyse them in a single visualisation or dashboard. This makes it easier to keep track of their applications and troubleshoot any issues that arise. With container metrics from Amazon Managed Service for Prometheus, logs and traces from Amazon Elasticsearch Service, observability data from Amazon CloudWatch, and operational data from third-party and other cloud vendors, you can query, correlate, and build a single dashboard.

    • It provides monitoring of Content

Users can query, correlate, and visualise container metrics from Amazon Elastic Container Service, Amazon Elastic Kubernetes Service, and self-managed Kubernetes running on Amazon Elastic Compute Cloud using Amazon Managed Grafana. Connect to container metrics data sources such as Amazon Managed Service for Prometheus, open source Prometheus, Amazon CloudWatch, and other self-managed and third-party ISV data sources using Amazon Managed Grafana.

    • It provides One dashboard for multiple users

A wide range of data sources is supported by Amazon Managed Grafana, allowing users of all types to layer operational and business data into a consolidated view. Builders and developers can monitor their application logs, as well as an operator's infrastructure health metrics and business metrics for key stakeholders, all in one dashboard using a rich library of interactive visualisations.

    • It troubleshoots any operational issues that may arise, collaboratively

Teams and users can view and edit dashboards in real-time, track dashboard version changes, and share dashboards with other teams and executive stakeholders to ensure that everyone is looking at the same information while troubleshooting operational issues. From creating public snapshots to inviting team members to a shared dashboard, Amazon Managed Grafana allows for flexible dashboard sharing.

    • It provides IoT monitoring

Amazon Grafana is popular for monitoring IoT and edge device data, such as earthquake sensor battery levels, manufacturing robot metrics, and energy utility status checks, thanks to its extensible data plugin architecture and flexible graphing options. As data sources for IoT data visualisation, Amazon Managed Grafana natively integrates with Amazon IoT SiteWise and Amazon Timestream.

    • It provides Software development lifecycle monitoring

Amazon Grafana Enterprise is an optional upgrade that gives you access to more third-party plugins, such as ServiceNow and Atlassian Jira, that provide software development lifecycle monitoring capabilities. Users can pull incident details and software development lifecycle artefacts into Amazon Managed Grafana, track incident status, pull requests, and code commits, and monitor software releases alongside their application health and performance data, all in one place, using these plugins.

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I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

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