MongoDB backup service overview Boston MUG

Sep 13, 2013Download as PPTX, PDF1 like1,682 views

The document discusses MongoDB backup options including mongodump/mongorestore, storage-level backups, and the MongoDB Management Service (MMS) backup. MMS provides cloud-based, encrypted backups of MongoDB deployments with point-in-time recovery. It takes periodic snapshots of data and oplog to enable restores. Setup involves installing agents, registering with MMS, and an initial sync replicates data to MMS for backups.

MongoDB Management Service:
Backup Overview

4
• How much data can you afford to lose? (RPO)
• How long can you afford to be off-line? (RTO)
• Cost is impacted by these decisions.
Considerations

5
• mongodump/mongorestore
• Storage-level options
• MongoDB Backup Service (new!)
Recovery Approaches for MongoDB

6
• Can be run in live or offline mode
• Oplog-aware for point-in-time operations
• Filter can be applied in both directions
• mongodump docs
• mongorestore docs
• Considerations
– Working set
– Sharding
mongodump / mongorestore

7
• Copy files in your data directory (e.g. /data/db)
• Filesystem or block storage snapshot
• Fastest way to backup/restore
• Considerations
– Consistency
– Backup granularity
– Ops expertise
Storage-level Backups

8
What is MongoDB Management
Service (MMS)?

10
MMS Backup: Features
Available
• Cloud-based service
• Archived across DCs
Secure
• Data is encrypted in-
transit
• 2-factor auth for
restores
Managed
• Developed and
monitored by MongoDB
• Point-in-time backups
Overhead
• Lightweight agent,
processes oplog
Restores
• Free, unlimited
• Seed new environments

11
Unlimited restores
Seed dev, test, or new environments

12
Recovery Approaches
Complexity
Scalability
mongodump
storage-level
mms backup

15
• From the initial sync, we rebuild your data in our
datacenters and take a snapshot
• We take snapshots every 6 hours
• Oplog is stored for 48 hours
Under the Hood

16
• Balancer paused every 6 hours
• A no-op token is inserted across all shards,
mongos’s and config servers
• Oplog applied to replica sets until point in which
token was inserted
• Provides a consistent state of database across
shards
Sharded Clusters

17
• Point-in-time recovery
• Easy to restore
• Unlimited, free restores
• Fully managed
Key Benefits

18
1. Create an account at mms.10gen.com
2. Install MMS Monitoring Agent on your
deployment
3. Register at mms.10gen.com/backup
4. Install MMS Backup Agent on your deployment
5. Start initial sync
6. Rest easy!
Getting Started

Free Month – Register Using
Coupon Code
“MUG_Boston”
(expires 10/31)
MongoDB Boston 10/25 –
discount: mug25

MongoDB backup service overview Boston MUG

This document discusses various techniques for optimizing website performance in order to improve search engine optimization (SEO) rankings. It outlines strategies for reducing page load time such as compressing files, lazy loading images, minimizing requests, caching content, and using modules like Apache's mod_pagespeed. The document stresses that the primary goal should be improving the user experience rather than solely focusing on achieving full scores on Google's Pagespeed Insights tool.

Wt vs phalconAmitoj Singh

Wt and Phalcon are PHP frameworks, with Wt being built entirely in C++ for improved performance and lower resource usage compared to Phalcon which relies on PHP. Performance tests showed Wt had higher request throughput and lower memory usage than Phalcon. Wt also has advantages in security, as its logic is automatically verified, while Phalcon requires manual filtering. Overall Wt provides better performance, security and is more lightweight and environmentally friendly than Phalcon due to its C++ implementation.

High-performance high-availability PloneGuido Stevens

- The document discusses an architecture for providing high availability and performance for a Plone site handling high traffic volumes with a requirement for 100% uptime. - The proposed architecture uses multiple Plone instances behind a load balancer, with Relstorage (MySQL) replication providing redundancy. Mod_wodan and Varnish are used for caching to improve performance. The design eliminates all single points of failure and allows automated failover.

Writing a fast HTTP parserfukamachi

Eitaro Fukamachi gave a presentation on writing a fast HTTP parser in Common Lisp called fast-http. He explained that the bottleneck in the Wookie web framework was HTTP parsing, which was slower than Node.js. This was because Node.js uses the C-based and highly optimized http-parser library. Eitaro discussed how fast-http achieves high performance through an architecture that reduces memory allocation and uses the right data types, as well as through benchmarking, profiling, and type declarations to provide hints to the compiler. The goal was to write carefully optimized Lisp code that could match or beat C in performance for complex programs like an HTTP parser.

Zingme practice for building scalable website with PHPChau Thanh

This document discusses best practices for building scalable PHP websites, as demonstrated by ZingMe's architecture. It describes how ZingMe uses a scale-out approach with load balancing, centralized session storage, and an automated code deployment system. The key aspects covered are load balancing with HAProxy, overriding PHP's session handling to use Memcached, and configuring servers identically through version control and scripts. The goal is to gracefully handle increasing traffic by adding commodity servers within 5 minutes while maintaining a consistent environment.

Neutrondev pptmarunewby

ComposerLe Thanh Sang

Composer is a tool for dependency management in PHP projects that allows developers to declare project dependencies and have Composer install them. It resolves dependencies and runs installation tasks per project rather than globally. Major PHP frameworks like Symfony use Composer because it ensures projects always have the exact same dependency versions and avoids issues with PEAR's global installation approach. Composer has over 15,000 packages on its default repository Packagist and has seen 60 million package installations since 2012.

CBDW2014- Intro to CommandBox; The ColdFusion CLI, Package Manager, and REPL ...Ortus Solutions, Corp

CommandBox is a standalone, native tool for Windows, Mac, and Linux that will provide you with a Command Line Interface (CLI) for developer productivity, tool interaction, package management, embedded CFML server, application scaffolding, and some sweet ASCII art. It seamlessly integrates to work with any of the *Box products but it is also open for extensibility for any ColdFusion (CFML) project as it is also written in ColdFusion (CFML) using our concepts of CommandBox Commands. CommandBox also functions as a package management tool which integrates seamlessly with ForgeBox, our community of ColdFusion (CFML) projects, but can also integrate with git,svn,http, ftp and many more code endpoints. Come learn about one of the coolest tools for CFML in years and how it can help your everyday productivity.

4Developers 2015: Scaling LAMP doesn't have to suck - Sebastian GrodzickiPROIDEA

Sebastian Grodzicki Language: Polish Tradycyjny LAMP sprawdza się świetnie … w środowisku deweloperskim. Nawet jeżeli nie tworzysz kolejnego Facebooka, to każda niedostępność Twojego serwisu kosztuje Cię sporo nerwów oraz pieniędzy. Awaria wystąpi wcześniej lub później. Pytanie nie brzmi "czy" leczy "kiedy". Dlatego warto o tym pomyśleć zawczasu i zbudować taką architekturę, która nie jest podatna na niedostępność z powodu awarii jednego z jej elementów. Jakie narzędzia wybrać? Jak wycisnąć z nich ostatnie soki?

Foreman in Your Data Center :OSDC 2015Stephen Benjamin

From One to a Clusterguestd34230

Brian Moon discusses the evolution of the architecture of dealnews.com from a single server setup in the late 1990s to a clustered architecture in 2008. The initial setup encountered bottlenecks with software load balancing and using NFS. They overcame these by implementing hardware load balancing, dropping NFS, and using Memcached for caching. As traffic increased from sites like Digg and Yahoo!, they added more servers, offloaded static content to a CDN, and implemented a custom caching proxy and "pushed cache" to prevent stampeding. Their current architecture loads balances incoming traffic with F5 BIG-IP and uses replication and load balancing for the database.

Auto infra with_foreman_katelloSachin Ghai

This document discusses automating infrastructure with Foreman and Katello. Foreman is a tool for provisioning and managing systems through their lifecycle, including provisioning, configuration, and monitoring. Katello integrates with Foreman to add content management capabilities. It allows syncing content from various sources, organizing it with content views and libraries, and promoting it through environments. The document outlines key Foreman and Katello features like smart proxies, discovery, host groups, APIs, plugins, repositories, content views, lifecycle environments and more.

Laka Blogging engineAmitoj Singh

The document describes the Laka Blogging Engine, a blogging platform programmed in C++ using the Wt framework and designed with HTML and CSS themes. It is licensed under the GNU GPL V3. The blogging engine is eco-friendly by requiring fewer servers than PHP-based platforms like Facebook or Wordpress, lightweight at less than 1 MB, fast to install in under a minute, secure, and has a better user interface.

Nsq & python workerFelinx Lee

Ruby eventmachine pres at rubybdxMathieu Elie

Improving Development and Deployment with DockerIrfad Razick

Developing Rich Internet Applications with Perl and JavaScriptnohuhu

This document discusses developing Rich Internet Applications (RIAs) using the Ext JS JavaScript framework and the Perl RPC::ExtDirect module. It describes how RIAs work by handling all client interaction in JavaScript, communicating with the server asynchronously via AJAX calls. The Ext JS framework provides cross-browser compatibility, clean MVC architecture and low server overhead. RPC::ExtDirect allows Perl to serve as the backend, implementing the Ext.Direct protocol to integrate existing Perl code and work on any platform. Examples are given of using RPC::ExtDirect in a CGI application to publish APIs and route requests.

Design a scalable site: Problem and solutionsChau Thanh

The document discusses designing a scalable site and addresses problems and solutions at each level, including: 1. Optimizing performance at the node level and scaling across multiple nodes either vertically (scale up) or horizontally (scale out). 2. Common client-side problems like optimizing static content delivery and caching, as well as issues delivering content from the client to internet service providers (ISPs). 3. Scaling challenges include problems routing traffic within ISPs and between ISPs/data centers, as well as optimizing server hardware, operating systems, applications and handling communication across servers.

Laravel Poznań Meetup #12 - "Speed up web API with Laravel and Swoole using ...HighSolutions Sp. z o.o.

OpenCms Days 2015 Next generation repositoryAlkacon Software GmbH & Co. KG

OpenCms 10 is not even finished, but Alkacon is already forming concrete plans about OpenCms 11. The most important aspect for OpenCms 11 will be a new repository architecture. This new repository should be based on state-of-the-art open source components and provide much better cloud and clustering support, also solving a number of issues of the current VFS implementation. In this session the design principles that guide the new repository architecture will be explained. Use cases where the current repository falls short will be shown, and how these should be improved in a new repository will be explained. It has already been developed a working proof of concept for a new repository that already solves many of the challenges mentioned earlier. This prototype will be demonstarted and the technology behind it will be explained. A new repository architecture for OpenCms 11 will most likely mean a departure from the database stack used for the repository up until OpenCms 10. This will effect backward compatibility.

Benchmarking, Load Testing, and Preventing Terrible DisastersMongoDB

"Have you ever crossed your fingers before performing an upgrade or switching storage engines, because you weren't quite sure what would happen? Have you ever been bitten by a slight change in behavior that turned out to be unexpectedly significant for your workload? At Parse we have developed a workflow that lets us repeatedly capture and replay real production workloads offline. This has allowed us to confidently perform upgrades across a large fleet with a minimum amount of canarying, and has helped us load test a variety of storage engines with real workloads so we can compare and understand the performance tradeoffs. In this talk we will cover best practices for upgrades and migrations, and we will walk through how to use our open-sourced tooling to demonstrate how you can do the same. We will also share some fun war stories about various disasters found and averted *before* putting them into production thanks to offline benchmarking."

OpenCms Days 2016: Next generation content repository Alkacon Software GmbH & Co. KG

All OpenCms versions so far have relied on a relational SQL database as the backbone of the content repository. However, new requirements are emerging, such as distributed repositories with automatic installation in the cloud, which are difficult to meet using the existing database infrastructure. Alkacon has been investigating the possibility to switch to a new repository technology for future OpenCms versions that come after 10.5 for about a year now. The new repository should be based on state-of-the-art open source components and provide much better cloud and clustering support. In recent months, Alkacon has started with the implementation of this next generation repository. First results are in, and they look promising.

Memcache dAbhishek Tomar

This document provides an overview of Memcached, including: - Memcached is an in-memory key-value store that provides fast data storage and retrieval to reduce database load. It stores data in RAM for fast read performance. - Features include least recently used caching, low CPU overhead, horizontal scalability by adding more servers, and session storage. - Memcached works by clients calculating a hash of the key to determine which server stores the data, then sends requests to that server to perform gets, sets, and other operations on the key-value pairs.

Phorum MySQL tricksguestd34230

This document provides various tips and tricks for optimizing MySQL queries and performance. Some of the key points include: - Using SQL_COUNT_FOUND_ROWS to get the total row count without LIMIT for paging queries. - For large result sets, using unbuffered queries and fetching rows one by one can improve performance over buffered queries that retrieve all rows into memory at once. - Forcing a specific index can improve query performance compared to the index the optimizer selects, if you know your data and test different strategies. - Full text search in MySQL is generally faster than LIKE queries but requires careful use of indexes and temporary tables to merge results efficiently.

ChinaNetCloud - Zabbix Monitoring System OverviewChinaNetCloud

Zabbix is ChinaNetCloud's main monitoring system, which is heavily customized for their use. It monitors over 200 metrics per server across large-scale, globally distributed systems. Zabbix is considered one of the most advanced monitoring systems in the world, capable of monitoring billions of data points per month across servers, databases, applications and other infrastructure. It provides flexible dashboards, graphs, maps and alerts to give operations teams deep visibility into performance, issues and resource usage.

ruby + websocket + haproxyMathieu Elie

This document summarizes the technology stack and use of websockets at oneplaylist.fm. The key aspects are: - The stack includes Ruby on Rails, Redis, EventMachine, HAProxy, Resque, MongoDB, CoffeeScript, and Elasticsearch. - HAProxy is used for TCP load balancing and handles HTTP as well, distributing traffic across multiple Rails app servers, Elasticsearch instances, and the EventMachine websocket server. - Websockets are handled via a TCP connection to the EventMachine server through a separate subdomain, keeping HTTP requests on the main app domain. - Redis is used for centralized communication and state management via Pub/Sub, with tokens mapping users to channels and event data pushed

OpenCms Days 2013 - Gradle based OpenCms build automated setupAlkacon Software GmbH & Co. KG

The build process for OpenCms 9 is using Gradle ( www.gradle.org ) instead of Apache Ant. The great advantage of the Gradle build process is an integrated dependency management so that libraries required to build OpenCms are downloaded automatically. Moreover, OpenCms 9 provides a script based setup in addition to the traditional web interface. This allows the installation of OpenCms directly from the command line. In this 2 part workshop, Tobias will first demonstrate how the new Gradle based build process in OpenCms 9 works. He will explain how to configure popular IDEs such as Eclipse to build the OpenCms core as well as individual module extensions. Tobias will then present the automatic setup process and show how to configure various options for the OpenCms installation.

Webinar: Backups + Disaster RecoveryMongoDB

Run MongoDB with Confidence Using MongoDB Management Service (MMS)MongoDB

MongoDB Management Service (MMS) is the application for managing MongoDB, created by the engineers who develop MongoDB. MMS provides visibility into the performance of your cluster, alerting when key metrics are out of range and backup and recovery of your mission critical data. This session will provide you with an overview of MMS, including installation and setup and a walk through of metrics and alerts. Then we'll compare and contrast the various different backup strategies, with a deep dive on using MMS to back up your MongoDB data.

More Related Content

What's hot (20)

CBDW2014- Intro to CommandBox; The ColdFusion CLI, Package Manager, and REPL ...Ortus Solutions, Corp

4Developers 2015: Scaling LAMP doesn't have to suck - Sebastian GrodzickiPROIDEA

Foreman in Your Data Center :OSDC 2015Stephen Benjamin

From One to a Clusterguestd34230

Auto infra with_foreman_katelloSachin Ghai

Laka Blogging engineAmitoj Singh

Nsq & python workerFelinx Lee

Ruby eventmachine pres at rubybdxMathieu Elie

Improving Development and Deployment with DockerIrfad Razick

Developing Rich Internet Applications with Perl and JavaScriptnohuhu

Design a scalable site: Problem and solutionsChau Thanh

Laravel Poznań Meetup #12 - "Speed up web API with Laravel and Swoole using ...HighSolutions Sp. z o.o.

OpenCms Days 2015 Next generation repositoryAlkacon Software GmbH & Co. KG

Benchmarking, Load Testing, and Preventing Terrible DisastersMongoDB

OpenCms Days 2016: Next generation content repository Alkacon Software GmbH & Co. KG

Memcache dAbhishek Tomar

Phorum MySQL tricksguestd34230

ChinaNetCloud - Zabbix Monitoring System OverviewChinaNetCloud

ruby + websocket + haproxyMathieu Elie

OpenCms Days 2013 - Gradle based OpenCms build automated setupAlkacon Software GmbH & Co. KG

CBDW2014- Intro to CommandBox; The ColdFusion CLI, Package Manager, and REPL ...Ortus Solutions, Corp

4Developers 2015: Scaling LAMP doesn't have to suck - Sebastian GrodzickiPROIDEA

Foreman in Your Data Center :OSDC 2015Stephen Benjamin

From One to a Clusterguestd34230

Auto infra with_foreman_katelloSachin Ghai

Laka Blogging engineAmitoj Singh

Nsq & python workerFelinx Lee

Ruby eventmachine pres at rubybdxMathieu Elie

Improving Development and Deployment with DockerIrfad Razick

Developing Rich Internet Applications with Perl and JavaScriptnohuhu

Design a scalable site: Problem and solutionsChau Thanh

Laravel Poznań Meetup #12 - "Speed up web API with Laravel and Swoole using ...HighSolutions Sp. z o.o.

OpenCms Days 2015 Next generation repositoryAlkacon Software GmbH & Co. KG

Benchmarking, Load Testing, and Preventing Terrible DisastersMongoDB

OpenCms Days 2016: Next generation content repository Alkacon Software GmbH & Co. KG

Memcache dAbhishek Tomar

Phorum MySQL tricksguestd34230

ChinaNetCloud - Zabbix Monitoring System OverviewChinaNetCloud

ruby + websocket + haproxyMathieu Elie

OpenCms Days 2013 - Gradle based OpenCms build automated setupAlkacon Software GmbH & Co. KG

Similar to MongoDB backup service overview Boston MUG (20)

Webinar: Backups + Disaster RecoveryMongoDB

Run MongoDB with Confidence Using MongoDB Management Service (MMS)MongoDB

Webinar: Keeping Your MongoDB Data SafeMongoDB

A backup and recovery strategy is necessary to protect your mission critical data against the risk of catastrophic failure or human error. In this session, we'll discuss the different strategies to backing up and restoring your MongoDB clusters in case of a disaster scenario. We'll review the benefits and drawbacks of various approaches, including taking filesystem snapshots, using mongodump, or using MongoDB Management Service.

Webinar: Backups and Disaster RecoveryMongoDB

Backing Up Data with MMSMongoDB

The document discusses backing up MongoDB data with MongoDB Management Service (MMS). MMS allows for backing up to the cloud or on-premises. It offers simple, automated backups with point-in-time restore capabilities. The backups are configurable in terms of frequency, retention period, and restore options. MMS supports backing up replica sets and sharded clusters to ensure consistent snapshots of the data.

Running MongoDB 3.0 on AWSMongoDB

In this webinar, we will be covering general best practices for running MongoDB on AWS. Topics will range from instance selection to storage selection and service distribution to ensure service availability. We will also look at any specific best practices related to using WiredTiger. We will then shift gears and explore recommended strategies for managing your MongoDB instance on AWS. This session also includes a live Q&A portion during which you are encouraged to ask questions of our team.

Mongo DBKaran Kukreja

- Mongo DB is an open-source document database that provides high performance, a rich query language, high availability through clustering, and horizontal scalability through sharding. It stores data in BSON format and supports indexes, backups, and replication. - Mongo DB is best for operational applications using unstructured or semi-structured data that require large scalability and multi-datacenter support. It is not recommended for applications with complex calculations, finance data, or those that scan large data subsets. - The next session will provide a security and replication overview and include demonstrations of installation, document creation, queries, indexes, backups, and replication and sharding if possible.

Walking the Walk: Developing the MongoDB Backup Service with MongoDBMongoDB

The document describes the development of MongoDB's backup service. It started as a one person project in late 2011 and grew to include 6 engineers by mid-2013. The service captures data from replica sets and sharded clusters, stores oplog changes, and takes de-duplicated snapshots for storage. It was built iteratively using agile principles, starting with basic implementations and improving areas like state management, oplog and snapshot storage over time to increase scalability, redundancy and performance.

Run MongoDB with Confidence: Backing up and Monitoring with MMSMongoDB

- The MongoDB Management Service (MMS) provides monitoring, backup, and automation capabilities for MongoDB deployments. - MMS monitors deployments through agents that identify server configurations, collect performance metrics, and enable alerts. It provides topology views and charting of key indicators. - MMS backups MongoDB data by taking snapshots of replica sets and clusters. It stores backups for up to one year and allows point-in-time restores. Restoring a backup is simple and speeds up tasks like launching QA environments. - MMS automates backups without much overhead. It provides a consistent way to backup sharded clusters through checkpoint restores with a small restoration window.

Mongodb backupDharshan Rangegowda

Webinar: Capacity PlanningMongoDB

MongoDB capacity planning involves determining hardware requirements and sizing to meet performance and availability expectations. Key aspects include measuring the working set, monitoring resource usage, and iteratively planning as requirements and data change over time. Resources like CPU, storage, memory and network need to be considered based on the application's throughput, responsiveness and availability needs.

Webinar: MongoDB Management Service (MMS): Session 02 - Backing up DataMongoDB

This document introduces MongoDB Backup Service (MMS Backup), which provides automated, managed backups of MongoDB deployments. MMS Backup takes snapshots of data every 6 hours and stores the oplog for 24 hours, enabling point-in-time restores within the last day. Restores can be done via a download link or pushing restored data directly to servers. MMS Backup is easy to set up and use, handles backups of sharded clusters consistently, and allows unlimited test restores without impacting production.

MongoDB Capacity PlanningNorberto Leite

MongoDB Deployment ChecklistMongoDB

Silicon Valley Code Camp 2014 - Advanced MongoDBDaniel Coupal

Running MongoDB on AWSMongoDB

MongoDB and Amazon Web Services: Storage Options for MongoDB DeploymentsMongoDB

When using MongoDB and AWS, you want to design your infrastructure to avoid storage bottlenecks and make the best use of your available storage resources. AWS offers a myriad of storage options, including ephemeral disks, EBS, Provisioned IOPS, and ephemeral SSD's, each offering different performance and persistence characteristics. In this session, we’ll evaluate each of these options in the context of your MongoDB deployment, assessing the benefits and drawbacks of each.

MongoDB Atlas - the best way to run MongoDB in the cloud 1MongoDB

MongoDB: Advantages of an Open Source NoSQL DatabaseFITC

Save 10% off ANY FITC event with discount code 'slideshare' See our upcoming events at www.fitc.ca OVERVIEW The presentation will present an overview of the MongoDB NoSQL database, its history and current status as the leading NoSQL database. It will focus on how NoSQL, and in particular MongoDB, benefits developers building big data or web scale applications. Discuss the community around MongoDB and compare it to commercial alternatives. An introduction to installing, configuring and maintaining standalone instances and replica sets will be provided. Presented live at FITC's Spotlight:MEAN Stack on March 28th, 2014. More info at FITC.ca

Hardware Provisioning MongoDB

Webinar: Backups + Disaster RecoveryMongoDB

Run MongoDB with Confidence Using MongoDB Management Service (MMS)MongoDB

Webinar: Keeping Your MongoDB Data SafeMongoDB

Webinar: Backups and Disaster RecoveryMongoDB

Backing Up Data with MMSMongoDB

Running MongoDB 3.0 on AWSMongoDB

Mongo DBKaran Kukreja

Walking the Walk: Developing the MongoDB Backup Service with MongoDBMongoDB

Run MongoDB with Confidence: Backing up and Monitoring with MMSMongoDB

Mongodb backupDharshan Rangegowda

Webinar: Capacity PlanningMongoDB

Webinar: MongoDB Management Service (MMS): Session 02 - Backing up DataMongoDB

MongoDB Capacity PlanningNorberto Leite

MongoDB Deployment ChecklistMongoDB

Silicon Valley Code Camp 2014 - Advanced MongoDBDaniel Coupal

Running MongoDB on AWSMongoDB

MongoDB and Amazon Web Services: Storage Options for MongoDB DeploymentsMongoDB

MongoDB Atlas - the best way to run MongoDB in the cloud 1MongoDB

MongoDB: Advantages of an Open Source NoSQL DatabaseFITC

Hardware Provisioning MongoDB

More from MongoDB (20)

MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB

This presentation discusses migrating data from other data stores to MongoDB Atlas. It begins by explaining why MongoDB and Atlas are good choices for data management. Several preparation steps are covered, including sizing the target Atlas cluster, increasing the source oplog, and testing connectivity. Live migration, mongomirror, and dump/restore options are presented for migrating between replicasets or sharded clusters. Post-migration steps like monitoring and backups are also discussed. Finally, migrating from other data stores like AWS DocumentDB, Azure CosmosDB, DynamoDB, and relational databases are briefly covered.

MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB

MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB

MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB

MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB

MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB

MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB

Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe. This talk covers: Common components of an IoT solution The challenges involved with managing time-series data in IoT applications Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance. How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.

MongoDB SoCal 2020: MongoDB Atlas Jump StartMongoDB

MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB

Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.

MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB

Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch". This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.

MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB

MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB

MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB

When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.

MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB

MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB

The document discusses guidelines for ordering fields in compound indexes to optimize query performance. It recommends the E-S-R approach: placing equality fields first, followed by sort fields, and range fields last. This allows indexes to leverage equality matches, provide non-blocking sorts, and minimize scanning. Examples show how indexes ordered by these guidelines can support queries more efficiently by narrowing the search bounds.

MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB

MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB

The document describes a methodology for data modeling with MongoDB. It begins by recognizing the differences between document and tabular databases, then outlines a three step methodology: 1) describe the workload by listing queries, 2) identify and model relationships between entities, and 3) apply relevant patterns when modeling for MongoDB. The document uses examples around modeling a coffee shop franchise to illustrate modeling approaches and techniques.

MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB

MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business. This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.

MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB

Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms. How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms? In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.

MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB

MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB

Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $. La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.