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Based on our record, Google Site Reliability Engineering seems to be a lot more popular than Apache HBase. While we know about 84 links to Google Site Reliability Engineering, we've tracked only 6 mentions of Apache HBase. 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.
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 / 7 months ago
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
Define SLOs for availability and latency. Google's SRE book is good reading for this. Source: 12 months ago
Have you gone through the SRE Books? Source: 12 months ago
Google SRE books is always a good read. Source: about 1 year ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 3 months ago
NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 10 months ago
HBase, A scalable, distributed database that supports structured data storage for large tables. - Source: dev.to / over 1 year ago
Today, it is normal for enterprises to leverage diversified databases. In my market of expertise, China, in the Internet industry, MySQL together with data sharding middleware is the go to architecture, with GreenPlum, HBase, Elasticsearch, Clickhouse and other big data ecosystems being auxiliary computing engine for analytical data. At the same time, some legacy systems (such as SQLServer legacy from .NET... - Source: dev.to / about 2 years ago
For this type of systems PostgreSQL not best solution, and for a number of reasons like lack of replication out of the box. And we strictly must not have «Vendor lock», and therefore also did not take modern SQL databases like Amazon Aurora. And end of the ends the choice was made in favor Cassandra, for this article where we will talking about low-lever implementation of Repository Pattern it is not important, in... - Source: dev.to / about 2 years ago
Apache Helix - A cluster management framework for partitioned and replicated distributed resources
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 Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.
Educative.io - Interactive courses for developers by developers
Apache Mahout - Distributed Linear Algebra