Software Alternatives & Reviews

Google Site Reliability Engineering VS Apache Ambari

Compare Google Site Reliability Engineering VS Apache Ambari and see what are their differences

Google Site Reliability Engineering logo Google Site Reliability Engineering

How Google runs production systems

Apache Ambari logo Apache Ambari

Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.
  • Google Site Reliability Engineering Landing page
    Landing page //
    2023-09-14
  • Apache Ambari Landing page
    Landing page //
    2023-01-08

Category Popularity

0-100% (relative to Google Site Reliability Engineering and Apache Ambari)
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Site Reliability Engineering seems to be a lot more popular than Apache Ambari. While we know about 84 links to Google Site Reliability Engineering, we've tracked only 1 mention of Apache Ambari. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Site Reliability Engineering mentions (84)

  • Ask HN: What makes SRE great compared to "plain" DevOps?
    In my view it is having a dedicated team focusing their full mental bandwidth on pro-actively understanding and managing robustness of the system. In Pure DevOps, it seems to me developers often don't have the full picture of the system, and not enough bandwidth to foresee complex interactions from their changes. These are from my experiences spending one year as a developer in somewhat large a greenfield... - Source: Hacker News / 6 months ago
  • How Site Reliability Engineering Is Different From DevOps
    Site Reliability Engineering, introduced by Google, extends the principles of software engineering to operations. Unlike DevOps, SRE places a stronger emphasis on reliability, availability, and scalability. SRE teams are tasked with maintaining the health and performance of systems by applying engineering practices to operations. The ultimate objective is to achieve a balance between service reliability and... Source: 9 months ago
  • API Product Managers, what's your workflow when designing and maintaining an API?
    Define SLOs for availability and latency. Google's SRE book is good reading for this. Source: 11 months ago
  • Starting an SRE position soon. No prior experience (except IT). Any suggestions? Sorry if it's too general.
    Have you gone through the SRE Books? Source: 12 months ago
  • Starting up with sre
    Google SRE books is always a good read. Source: 12 months ago
View more

Apache Ambari mentions (1)

  • In One Minute : Hadoop
    Ambari, A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in... - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Google Site Reliability Engineering and Apache Ambari, you can also consider the following products

Ganeti - Ganeti is a cluster management tool built on top of existing virtualization technologies.

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

Apache Helix - A cluster management framework for partitioned and replicated distributed resources

Apache HBase - Apache HBase – Apache HBase™ Home

Linux Foundation Training - Linux Foundation Training is a complete web-based platform that offers you advanced-level and updated courses and tutorials to learn the developing and programming skills.

Apache Avro - Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.