MongoDb scalability and high availability with Replica-Set

Topics Covered : - What is MongoDB? - SQL vs NoSQL - Document Data Model - CRUD operations - Cursor concepts - Benefits & drawbacks - Use cases & “Don’t Use!” cases

The document discusses MongoDB concepts including: - MongoDB uses a document-oriented data model with dynamic schemas and supports embedding and linking of related data. - Replication allows for high availability and data redundancy across multiple nodes. - Sharding provides horizontal scalability by distributing data across nodes in a cluster. - MongoDB supports both eventual and immediate consistency models.

MongoDB is an open-source document database, and the leading NoSQL database. Written in C++. MongoDB has official drivers for a variety of popular programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.

This presentation was written by Wagner Bianchi for the presentation on the Oracle Consulting Team/Professional Services meeting that took place in San Francisco/CA.

It is a power point presentation, Prepared by Hyphen. This ppt is attached another doc file which is a Report

Indexes are references to documents that are efficiently ordered by key and maintained in a tree structure for fast lookup. They improve the speed of document retrieval, range scanning, ordering, and other operations by enabling the use of the index instead of a collection scan. While indexes improve query performance, they can slow down document inserts and updates since the indexes also need to be maintained. The query optimizer aims to select the best index for each query but can sometimes be overridden.

Oh no! My backups aren't progressing! If something happens in production now, and I don't have current backups, I'll be out of a job for sure! If these words resonate with you, don’t worry; you’re not the only one! Backup issues are one of the most common topics we deal with in Technical Services. In this talk, we will go through the backup flow, talk about where things might go wrong, and the symptoms you will see in the logs and the UI. We will also talk about other commands you can run to confirm the diagnosis, and how support can assist if you’re still stuck. Finally, we will talk about the new backup architecture in 4.2 and how it simplifies some of these concerns. This session is suitable for those with all levels of Ops Manager experience, but attendees should have a basic understanding of MongoDB’s replication process before attending this session. After this talk, you will have leveled up your backup superpowers, and can swoop in to save your job (and the day)!

In this presentation, Raghavendra BM of Valuebound has discussed the basics of MongoDB - an open-source document database and leading NoSQL database. ---------------------------------------------------------- Get Socialistic Our website: http://valuebound.com/ LinkedIn: http://bit.ly/2eKgdux Facebook: https://www.facebook.com/valuebound/ Twitter: http://bit.ly/2gFPTi8

This document provides an overview and introduction to MongoDB, an open-source, high-performance NoSQL database. It outlines MongoDB's features like document-oriented storage, replication, sharding, and CRUD operations. It also discusses MongoDB's data model, comparisons to relational databases, and common use cases. The document concludes that MongoDB is well-suited for applications like content management, inventory management, game development, social media storage, and sensor data databases due to its flexible schema, distributed deployment, and low latency.

This document discusses streaming replication in PostgreSQL. It covers how streaming replication works, including the write-ahead log and replication processes. It also discusses setting up replication between a primary and standby server, including configuring the servers and verifying replication is working properly. Monitoring replication is discussed along with views and functions for checking replication status. Maintenance tasks like adding or removing standbys and pausing replication are also mentioned.

The document provides an introduction and overview of MongoDB, including what NoSQL is, the different types of NoSQL databases, when to use MongoDB, its key features like scalability and flexibility, how to install and use basic commands like creating databases and collections, and references for further learning.

An overview of MySQL Performance Schema in 8.0 Few use cases to utilize Performance Schema. A glimpse of new features in MySQL 8.0 with examples

Amazon Aurora is a high performance, highly scalable database service with MySQL- and PostgreSQL-compatibility. One of its key components is an innovative storage system that is optimized for database workloads and specifically designed to take advantage of modern cloud technology. Hear from the team that built Amazon Aurora's storage system on how the system is designed, how it works, and what you need to know to get the most out of it.

This document provides an introduction to NoSQL and MongoDB. It discusses that NoSQL is a non-relational database management system that avoids joins and is easy to scale. It then summarizes the different flavors of NoSQL including key-value stores, graphs, BigTable, and document stores. The remainder of the document focuses on MongoDB, describing its structure, how to perform inserts and searches, features like map-reduce and replication. It concludes by encouraging the reader to try MongoDB themselves.

MongoDB has adapted transaction feature (ACID Properties) in MongoDB 4.0. This talk focuses on the internals of how MongoDB adapted the ACID properties with Weird Tiger Engine. Weird tiger offers more future possibilities for MongoDB. This tech talk was presented at Mydbops Database Meetup on 27-04-2019 by Manosh Malai Senior Devops/NoSQL Consultant with Mydbops and Ranjith Database Administrator with Mydbops.

When it comes to optimizing the performance of a database, DBAs have to look at everything from the OS to the network. In this session, MariaDB Enterprise Architect Manjot Singh shares best practices for getting the most out of MariaDB. He highlights recommended OS settings, important configuration and tuning parameters, options for improving replication and clustering performance and features such as query result caching.

PostgreSQL is one of the most advanced relational databases. It offers superb replication capabilities. The most important features are: Streaming replication, Point-In-Time-Recovery, advanced monitoring, etc.

There are several exciting and long-awaited features released from MongoDB 4.0. He will focus on the prime features, the kind of problem it solves, and the best practices for deploying replica sets.

MongoDB replica sets allow for horizontal scaling of MongoDB deployments. The document discusses best practices for implementing and managing MongoDB replica sets, including: - Maintaining an odd number of voting members to prevent election ties - Using read preferences like nearest, secondary preferred for improved performance - Configuring a minimum oplog retention period of 24 hours for recovery from outages - Enabling authentication and authorization to secure replica sets - Several features introduced in MongoDB versions 4.4 and 5.0 like resumable initial sync and simultaneous indexing improve replication performance.

Slides presented at Percona Live Europe Open Source Database Conference 2019, Amsterdam, 2019-10-01. Imagine a world where all Wikipedia articles disappear due to a human error or software bug. Sounds unreal? According to some estimations, it would take an excess of hundreds of million person-hours to be written again. To prevent that scenario from ever happening, our SRE team at Wikimedia recently refactored the relational database recovery system. In this session, we will discuss how we backup 550TB of MariaDB data without impacting the 15 billion page views per month we get. We will cover what were our initial plans to replace the old infrastructure, how we achieved recovering 2TB databases in less than 30 minutes while maintaining per-table granularity, as well as the different types of backups we implemented. Lastly, we will talk about lessons learned, what went well, how our original plans changed and future work.

This document summarizes a presentation about designing systems to handle high loads when Chuck Norris is your customer. It discusses scaling architectures vertically and horizontally, RESTful principles, using NoSQL databases like MongoDB, caching with Memcached, search engines like Sphinx, video/image storage, and bandwidth management. It emphasizes that the right technology depends on business needs, and high-load systems require robust architectures, qualified developers, and avoiding single points of failure.