DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
  1. DZone
  2. Data Engineering
  3. Big Data
  4. Advanced Metrics Visualization Dashboarding With Apache Ambari

Advanced Metrics Visualization Dashboarding With Apache Ambari

A few weeks ago, we presented our vision for Streamlining Apache Hadoop Operations, and today we are pleased to announce the availability of Apache Ambari 2.2.2 which delivers on the first phase of this journey.

Paul Codding user avatar by
Paul Codding
·
May. 13, 16 · News
Like (1)
Save
Tweet
Share
3.19K Views

Join the DZone community and get the full member experience.

Join For Free

At Hortonworks, we work with hundreds of enterprises to ensure they get the most out of Apache Hadoop and the Hortonworks Data Platform. A critical part of making that possible is ensuring operators can quickly identify the root cause if something goes wrong.

A few weeks ago, we presented our vision for Streamlining Apache Hadoop Operations, and today we are pleased to announce the availability of Apache Ambari 2.2.2 which delivers on the first phase of this journey. With this latest update to Ambari, we can now put the most critical operational metrics in the hands of operators allowing them to:

  • Gain a better understanding of cluster health and performance metrics through advanced visualizations and pre-built dashboards.
  • Isolate critical metrics for core cluster services such as HDFS, YARN, and HBase.
  • Reduce time to troubleshoot problems, and improve the level of service for cluster tenants.

Advanced Metrics Visualization & Dashboarding

Apache Hadoop components produce a lot of metric data, and the Ambari Metrics System (introduced about a year ago as part of Ambari 2.0) provides a scalable low-latency storage system for capturing those metrics.  Understanding which metrics to look at and why takes experience and knowledge.  To help simplify this process, and be more prescriptive in choosing the right metrics to review when problems arise, Grafana (a leading graph and dashboard builder for visualizing time-series metrics) is now included with Ambari Metrics. The integration of Grafana with Ambari brings the most important metrics front-and-center. As we continue to streamline the operational experiences of HDP, operational metrics play a key role, and Grafana provides a unique value to our operators.

How It Works

Grafana is deployed, managed and pre-configured to work with the Ambari Metrics service. We are including a curated set dashboards for core HDP components, giving operators at-a-glance views of the same metrics Hortonworks Support & Engineering review when helping customers troubleshoot complex issues.

Metrics displayed on each dashboard can be filtered by time, component, and contextual information (YARN queues for example) to provide greater flexibility, granularity and context.

Ambari_Grafana

Download Ambari and Get Started

We look forward to your feedback on this phase of our journey and encourage you to visit the Hortonworks Documentation site for information on how to download and get started with Ambari. Stay tuned for updates as we continue on the journey to streamline Apache Hadoop operations.

Metric (unit) Apache Ambari hadoop Visualization (graphics)

Published at DZone with permission of Paul Codding. See the original article here.

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • What Was the Question Again, ChatGPT?
  • 9 Ways You Can Improve Security Posture
  • RabbitMQ vs. Memphis.dev
  • Architectural Miscalculation and Hibernate Problem "Type UUID but Expression Is of Type Bytea"

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: