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Apache Mahout VS Google Site Reliability Engineering

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

Apache Mahout logo Apache Mahout

Distributed Linear Algebra

Google Site Reliability Engineering logo Google Site Reliability Engineering

How Google runs production systems
  • Apache Mahout Landing page
    Landing page //
    2023-04-18
  • Google Site Reliability Engineering Landing page
    Landing page //
    2023-09-14

Apache Mahout videos

Apache Mahout Tutorial-1 | Apache Mahout Tutorial for Beginners-1 | Edureka

More videos:

  • Tutorial - Machine Learning with Mahout | Apache Mahout Tutorial | Edureka

Google Site Reliability Engineering videos

No Google Site Reliability Engineering videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Mahout and Google Site Reliability Engineering)
Development
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Science And Machine Learning
DevOps Tools
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 Mahout. While we know about 84 links to Google Site Reliability Engineering, we've tracked only 2 mentions of Apache Mahout. 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.

Apache Mahout mentions (2)

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 / 8 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: 10 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: about 1 year 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: about 1 year ago
  • Starting up with sre
    Google SRE books is always a good read. Source: about 1 year ago
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What are some alternatives?

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

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

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

Apache HBase - Apache HBase – Apache HBase™ Home

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.