In this session, we’ll show how to use MongoDB Cloud Manager to monitor the performance of your cluster. Next, we’ll dive into New Relic and demonstrate how you can view the same database specific metrics from within the APM tool.
Webinar: Simplifying the Database Experience with MongoDB AtlasMongoDB
MongoDB Atlas is our database as a service for MongoDB. In this webinar you’ll learn how it provides all of the features of MongoDB, without all of the operational heavy lifting, and all through a pay-as-you-go model billed on an hourly basis.
Presented by Claudius Li, Solutions Architect at MongoDB, at MongoDB Evenings New England 2017.
MongoDB Atlas is the premier database as a service offering. Find out how MongoDB Atlas can help your team to deploy more easily, develop faster and easily manage deployment, maintenance, upgrades and expansions. We will also demonstrate some of the key features and tools that come with MongoDB Atlas.
Presented by Rob Walters, Solutions Architect, MongoDB, at MongoDB Evenings New England 2017.
MongoDB 3.6 is the latest version of the world's most popular document database. In this session we will cover the key themes of the release including speed to develop, speed to production and speed to insight. Learn about the key features that support these themes and how you can start leveraging them today!
Unlocking Operational Intelligence from the Data LakeMongoDB
The document discusses unlocking operational intelligence from data lakes using MongoDB. It begins by describing how digital transformation is driving changes in data volume, velocity, and variety. It then discusses how MongoDB can help operationalize data lakes by providing real-time access and analytics on data stored in data lakes, while also integrating batch processing capabilities. The document provides an example reference architecture of how MongoDB can be used with a data lake (Hadoop) and stream processing framework (Kafka) to power operational applications and machine learning models with both real-time and batch data and analytics.
Jane Uyvova
Senior Solutions Architect, MongoDB
March 21, 2017
MongoDB Evenings San Francisco
Learn how easy it is to set up, operate, and scale your MongoDB deployments in the cloud with MongoDB Atlas.
MongoDB Europe 2016 - Ops Manager and Cloud ManagerMongoDB
Ops Manager allows users to automate best practices for running MongoDB safely and reliably through a comprehensive application. It provides up to a 95% reduction in operational overhead through features like automated deployment, scaling, upgrades, backup and restore with point-in-time recovery. The REST API also allows integration with existing infrastructure. Ops Manager simplifies operations through its automated and single-click processes versus the many manual steps otherwise required. It provides operational visibility, performance optimization, protection from data loss, and easy scaling to help users meet service level agreements.
Sam Weaver, a MongoDB Product Manager, introduces MongoDB Compass. He discusses the need for Compass due to customer requests for quicker prototyping, less friction on handovers, and easier learning of MongoDB Query Language (MQL). He demos Compass' features like viewing schemas and sampling data from MongoDB databases. Finally, he outlines future plans like supporting more database operations and statistics, and sharing queries.
The document summarizes MongoDB as a modern database designed to solve problems of volume, velocity, and variety of data that traditional relational databases are not well-suited for. It highlights key MongoDB features like scalability, flexible schemas, and high availability. The document also discusses how MongoDB compares favorably to other databases in security capabilities and is a good fit for applications involving user data management, content delivery, and mobile apps.
MongoDB and Our Journey from Old, Slow and Monolithic to Fast and Agile Micro...MongoDB
Jeremiah Ivan, VP of Engineering, Merrill Corporation
In the span of 12 months Merrill was able to move from a monolithic and hard-to-change architecture to a fast-moving, agile development platform, enabled by the MongoDB database. We’ll talk about the technology, people, and process changes involved in the transformation. We hope that participants in this session will come away with the bits and pieces of a recipe for success that they can apply to their environment.
Overcoming Today's Data Challenges with MongoDBMongoDB
The document outlines an agenda for an event on overcoming data challenges with MongoDB. The event will feature speakers from MongoDB and Bosch discussing how the world has changed since relational databases were invented, how to radically transform IT environments with MongoDB, MongoDB and blockchain, and MongoDB for multiple use cases. The agenda includes presentations on these topics as well as a Q&A session and conclusion.
This document discusses MongoDB sharding as a case study for scaling MongoDB. It provides background on CIGNEX Datamatics and their big data analytics practice. It then describes a use case of 7 million users accessing digital assets across 8 devices each. It recommends MongoDB due to its flexibility and performance. The solution involves sharding across multiple MongoDB nodes to distribute the data and handle the high volume of concurrent requests. Benchmarking shows that sharding significantly improves performance of inserts and updates over non-sharded architecture. The key takeaway is that sharding is very effective but requires careful planning, benchmarking, and choice of shard key.
AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this session, we’ll take a look at several recommendations that can help you get the best performance out of AWS.
Moving Hudl from MS SQL to MongoDB: A Two Year JourneyMongoDB
This document discusses Hudl's two year journey of migrating from Microsoft SQL to MongoDB. Some key points covered include:
1) Hudl saw rapid growth from 2008-2013 which led to scaling issues with their SQL database and the need to migrate to MongoDB for its flexibility and ability to handle large datasets.
2) Benefits of MongoDB for Hudl included the ability to rapidly iterate and develop features faster without database constraints slowing them down.
3) Challenges in migrating included dealing with foreign key relationships, training developers on the new database, configuring write concerns, and setting up staging environments.
4) After two years, Hudl saw results of stable and consistent
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...MongoDB
This session will be a case study of eBay’s experience running MongoDB for project Zoom, in which eBay stores all media metadata for the site. This includes references to pictures of every item for sale on eBay. This cluster is eBay's first MongoDB installation on the platform and is a mission critical application. Yuri Finkelstein, an Enterprise Architect on the team, will provide a technical overview of the project and its underlying architecture.
MongoDB 3.4: Deep Dive on Views, Zones, and MongoDB CompassMongoDB
Thomas Boyd, Principal Solutions Architect, MongoDB
MongoDB Evenings San Francisco
March 21, 2017
MongoDB 3.4 was released in November 2016 and contains a wealth of new features that allow developers, DBAs, architects, and data scientists to tackle a wide variety of use cases. After an overview of 3.4, Thomas will provide a deep dive on using MongoDB views to encapsulate complex aggregation logic and to enhance MongoDB security, using zones to create a cross-continent, multi-master MongoDB cluster, and using MongoDB Compass to browse and interact with the data stored in your cluster.
MMS - Monitoring, backup and management at a single clickMatias Cascallares
MMS is MongoDB's monitoring, backup, and management system that provides:
- Server and cluster monitoring with metrics, alerts and activity feeds
- Backup of replica sets and sharded clusters with initial sync and incremental backups stored as snapshots
- Restore of backups to point-in-time within the last 24 hours
- Automation capabilities for tasks like capacity resizing, provisioning machines, and rolling upgrades
It has cloud and on-premise deployment options with pricing based on usage for the cloud version. MMS aims to simplify managing large MongoDB deployments through monitoring, backups and automation.
Transforming a Large Mission-Critical E-Commerce Platform from a Relational A...MongoDB
Speaker: Gaurav Goyal, Sr IT Architect, Cisco Systems Inc
Speaker: Dharmesh Panchmatia, Director, Cisco Systems Inc
Level: 200 (Intermediate)
Track: RDBMS to MongoDB
Cisco’s e-commerce platform is a suite of 35 different applications and 300+ services that powers product configuration, pricing, quoting, and order booking across all Cisco product lines including hardware, software, services and subscriptions. It’s a B2B platform used by Cisco Sales Team, Partners and Direct Customers, serving 140,000 unique users across the globe, handling 4 million transactions per day. The Benefits of migrating to MongoDB were as follows: 1) 5x performance improvement, 2) Fault tolerant architecture, 3) Continuous deployments and upgrades with zero downtime, 4) Faster application development.
What You Will Learn:
- How to transform your e-commerce platform to enable cloud native architecture.
- Bulk data migration in real time between relational databases & MongoDB.
- Best practices for brownfield migration for mission critical systems.
MongoDB Launchpad 2016: Moving Cybersecurity to the CloudMongoDB
Timothy Keeler discussed moving SecureONE, a security product that allows just-in-time administration and access controls, from an on-premise to cloud architecture using MongoDB Atlas. The cloud architecture provides multi-tenant capabilities and scales automatically. MongoDB Atlas simplified the migration by handling infrastructure maintenance, backups, high availability, and automatic scaling with no need to design the database architecture. This saved development time and reduced costs versus maintaining an on-premise database cluster.
MongoDB Europe 2016 - Powering Microservices with Docker, Kubernetes, and KafkaMongoDB
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. This session introduces you to technologies such as Docker, Kubernetes & Kafka which are driving the microservices revolution. Learn about containers and orchestration – and most importantly how to exploit them for stateful services such as MongoDB.
Speaker: Nick Maybin, Development Manager, HSBC
Speaker: Andrew Matthews, Equities Architect, HSBC
Level: 100 (Beginner)
Track: RDBMS to MongoDB
A presentation from HSBC's Investment Bank Technology division, about a journey of two asset classes (Equities and Fixed Income), who have jointly started using MongoDB as a core technology within an enterprise strategy for simpler, better, and faster organizational change.
What You Will Learn:
- Simpler: Applying NoSQL to migrate from aging relational models to schema-less designs.
- Better: As part of a structured transition plan from legacy technology to MongoDB, building an ODS toolkit with configurability, flexibility and enough dynamism to support two highly complex trading areas.
- Faster: How to keep pace, convince, and adopt while introducing new technologies to the organization.
The document provides an overview of a presentation on schema design patterns for MongoDB databases. It introduces several common patterns including Attribute, Subset, Computed, Approximation, and Schema Versioning. For each pattern, it describes the problem it addresses, example use cases, and the general solution or approach. It also includes examples of how the patterns could address issues like large documents, working set size, CPU usage, write volume, and changing schemas. The presentation aims to provide a common methodology and vocabulary for designing MongoDB schemas.
Power Real Estate Property Analytics with MongoDB + SparkMongoDB
Speaker: Gheni Abla, Analytics Software Technical Architect, CoreLogic
Level: 200 (Intermediate)
Track: Data Analytics
CoreLogic is a leading global property information, analytics and solutions provider. The company provides a range of analytic solutions for automated property valuation and appraisals. This presentation will cover a recent project at CoreLogic that utilized MongoDB for storing property and ownership data for over 150 million properties. MongoDB provided powerful support for storing and searching location-based property data. The MongoDB-Spark connector facilitated seamless integration between data access and the Spark-based distributed analytics processing and MongoDB’s replication capability provided high-availability across data centers. This session will cover CoreLogic’s software architecture and real-world development experiences with geospatial data and MongoDB-Spark connector.
What You Will Learn:
- How CoreLogic manages and stores data for over 150 million real estate properties in MongoDB, and utilizes MongoDB's geospatial data support.
- How to distribute large-scale analytics process using Spark and improve data access efficiency using the MongoDB-Spark connector.
- How to utilize MongoDB replication for implementing high-availability between two geographically dispersed data centers.
MongoDB Atlas is a database as a service for MongoDB that allows users to focus on building applications rather than managing infrastructure. It provides scalable and highly available MongoDB clusters in the cloud that automatically handle backups, patching, upgrades and maintenance. MongoDB Atlas offers various pricing and consumption models to suit different use cases. It has integrations with tools and services like MongoDB Compass and supports MongoDB versions 3.2 and 3.4.
A Mobile-First, Cloud-First Stack at PearsonMongoDB
Pearson has transitioned to using open source, NoSQL, and MongoDB as the foundation of its technology stack. MongoDB was chosen because it is open source, agile, scalable, and has fast reads and queries. Pearson uses MongoDB for identity and access management, adaptive learning and analytics, and its activity framework. Going forward, Pearson aims to extend MongoDB globally while addressing challenges around configuration, licensing, and developer adoption of NoSQL.
Webinar: MongoDB Compass - Data navigation made easyMongoDB
This document discusses MongoDB Compass, a graphical user interface (GUI) for MongoDB. It begins by describing the limitations of navigating data using the MongoDB Shell. It then introduces MongoDB Compass and describes its key features, which include visualizing schemas, building queries visually, viewing individual documents, debugging and optimizing performance using explain plans, and inserting, modifying, and deleting documents. The document concludes with an announcement of a live demo of MongoDB Compass and provides more information on downloading, documentation, and current versions.
Webinar: Data Streaming with Apache Kafka & MongoDBMongoDB
This document summarizes a webinar about integrating Apache Kafka and MongoDB for data streaming. The webinar covered:
- An overview of Apache Kafka and how it can be used for data transport and integration as well as real-time stream processing.
- How MongoDB can be used as both a Kafka producer, to stream data into Kafka topics, and as a Kafka consumer, to retrieve streamed data from Kafka for storage, querying, and analytics in MongoDB.
- Various use cases for integrating Kafka and MongoDB, including handling real-time updates, storing raw and processed event data, and powering real-time applications with analytics models built from streamed data.
The world of IT is shifting rapidly towards DevOps with analysts predicting the majority of companies will adopt DevOps practices in the next few years. In fact, in a recent study on DevOps by International Data Corp. (IDC), they believe that DevOps will be adopted (in either practice or discipline) by 80% of Global 1000 organizations by 2019!
Forming a DevOps team seems like a natural step, but the idea of creating a dedicated DevOps team has ignited anger in the community. Why? What's the concern? Is a DevOps team evil? Completely necessary? A necessary Evil?
Join IBM UrbanCode's Eric Minick to learn the pitfalls of creating bad DevOps teams, and successful approaches of good ones. Along the way, we’ll explore other heresies such as using tools to change culture.
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
MongoDB and Our Journey from Old, Slow and Monolithic to Fast and Agile Micro...MongoDB
Jeremiah Ivan, VP of Engineering, Merrill Corporation
In the span of 12 months Merrill was able to move from a monolithic and hard-to-change architecture to a fast-moving, agile development platform, enabled by the MongoDB database. We’ll talk about the technology, people, and process changes involved in the transformation. We hope that participants in this session will come away with the bits and pieces of a recipe for success that they can apply to their environment.
Overcoming Today's Data Challenges with MongoDBMongoDB
The document outlines an agenda for an event on overcoming data challenges with MongoDB. The event will feature speakers from MongoDB and Bosch discussing how the world has changed since relational databases were invented, how to radically transform IT environments with MongoDB, MongoDB and blockchain, and MongoDB for multiple use cases. The agenda includes presentations on these topics as well as a Q&A session and conclusion.
This document discusses MongoDB sharding as a case study for scaling MongoDB. It provides background on CIGNEX Datamatics and their big data analytics practice. It then describes a use case of 7 million users accessing digital assets across 8 devices each. It recommends MongoDB due to its flexibility and performance. The solution involves sharding across multiple MongoDB nodes to distribute the data and handle the high volume of concurrent requests. Benchmarking shows that sharding significantly improves performance of inserts and updates over non-sharded architecture. The key takeaway is that sharding is very effective but requires careful planning, benchmarking, and choice of shard key.
AWS is an incredibly popular environment for running MongoDB deployments. Today you have many choices about instance type, storage, network config, security, how you configure MongoDB processes, and more. In addition, you now have options when it comes to tooling to help you manage and operate your deployment. In this session, we’ll take a look at several recommendations that can help you get the best performance out of AWS.
Moving Hudl from MS SQL to MongoDB: A Two Year JourneyMongoDB
This document discusses Hudl's two year journey of migrating from Microsoft SQL to MongoDB. Some key points covered include:
1) Hudl saw rapid growth from 2008-2013 which led to scaling issues with their SQL database and the need to migrate to MongoDB for its flexibility and ability to handle large datasets.
2) Benefits of MongoDB for Hudl included the ability to rapidly iterate and develop features faster without database constraints slowing them down.
3) Challenges in migrating included dealing with foreign key relationships, training developers on the new database, configuring write concerns, and setting up staging environments.
4) After two years, Hudl saw results of stable and consistent
MongoDB San Francisco 2013: Storing eBay's Media Metadata on MongoDB present...MongoDB
This session will be a case study of eBay’s experience running MongoDB for project Zoom, in which eBay stores all media metadata for the site. This includes references to pictures of every item for sale on eBay. This cluster is eBay's first MongoDB installation on the platform and is a mission critical application. Yuri Finkelstein, an Enterprise Architect on the team, will provide a technical overview of the project and its underlying architecture.
MongoDB 3.4: Deep Dive on Views, Zones, and MongoDB CompassMongoDB
Thomas Boyd, Principal Solutions Architect, MongoDB
MongoDB Evenings San Francisco
March 21, 2017
MongoDB 3.4 was released in November 2016 and contains a wealth of new features that allow developers, DBAs, architects, and data scientists to tackle a wide variety of use cases. After an overview of 3.4, Thomas will provide a deep dive on using MongoDB views to encapsulate complex aggregation logic and to enhance MongoDB security, using zones to create a cross-continent, multi-master MongoDB cluster, and using MongoDB Compass to browse and interact with the data stored in your cluster.
MMS - Monitoring, backup and management at a single clickMatias Cascallares
MMS is MongoDB's monitoring, backup, and management system that provides:
- Server and cluster monitoring with metrics, alerts and activity feeds
- Backup of replica sets and sharded clusters with initial sync and incremental backups stored as snapshots
- Restore of backups to point-in-time within the last 24 hours
- Automation capabilities for tasks like capacity resizing, provisioning machines, and rolling upgrades
It has cloud and on-premise deployment options with pricing based on usage for the cloud version. MMS aims to simplify managing large MongoDB deployments through monitoring, backups and automation.
Transforming a Large Mission-Critical E-Commerce Platform from a Relational A...MongoDB
Speaker: Gaurav Goyal, Sr IT Architect, Cisco Systems Inc
Speaker: Dharmesh Panchmatia, Director, Cisco Systems Inc
Level: 200 (Intermediate)
Track: RDBMS to MongoDB
Cisco’s e-commerce platform is a suite of 35 different applications and 300+ services that powers product configuration, pricing, quoting, and order booking across all Cisco product lines including hardware, software, services and subscriptions. It’s a B2B platform used by Cisco Sales Team, Partners and Direct Customers, serving 140,000 unique users across the globe, handling 4 million transactions per day. The Benefits of migrating to MongoDB were as follows: 1) 5x performance improvement, 2) Fault tolerant architecture, 3) Continuous deployments and upgrades with zero downtime, 4) Faster application development.
What You Will Learn:
- How to transform your e-commerce platform to enable cloud native architecture.
- Bulk data migration in real time between relational databases & MongoDB.
- Best practices for brownfield migration for mission critical systems.
MongoDB Launchpad 2016: Moving Cybersecurity to the CloudMongoDB
Timothy Keeler discussed moving SecureONE, a security product that allows just-in-time administration and access controls, from an on-premise to cloud architecture using MongoDB Atlas. The cloud architecture provides multi-tenant capabilities and scales automatically. MongoDB Atlas simplified the migration by handling infrastructure maintenance, backups, high availability, and automatic scaling with no need to design the database architecture. This saved development time and reduced costs versus maintaining an on-premise database cluster.
MongoDB Europe 2016 - Powering Microservices with Docker, Kubernetes, and KafkaMongoDB
Organisations are building their applications around microservice architectures because of the flexibility, speed of delivery, and maintainability they deliver. This session introduces you to technologies such as Docker, Kubernetes & Kafka which are driving the microservices revolution. Learn about containers and orchestration – and most importantly how to exploit them for stateful services such as MongoDB.
Speaker: Nick Maybin, Development Manager, HSBC
Speaker: Andrew Matthews, Equities Architect, HSBC
Level: 100 (Beginner)
Track: RDBMS to MongoDB
A presentation from HSBC's Investment Bank Technology division, about a journey of two asset classes (Equities and Fixed Income), who have jointly started using MongoDB as a core technology within an enterprise strategy for simpler, better, and faster organizational change.
What You Will Learn:
- Simpler: Applying NoSQL to migrate from aging relational models to schema-less designs.
- Better: As part of a structured transition plan from legacy technology to MongoDB, building an ODS toolkit with configurability, flexibility and enough dynamism to support two highly complex trading areas.
- Faster: How to keep pace, convince, and adopt while introducing new technologies to the organization.
The document provides an overview of a presentation on schema design patterns for MongoDB databases. It introduces several common patterns including Attribute, Subset, Computed, Approximation, and Schema Versioning. For each pattern, it describes the problem it addresses, example use cases, and the general solution or approach. It also includes examples of how the patterns could address issues like large documents, working set size, CPU usage, write volume, and changing schemas. The presentation aims to provide a common methodology and vocabulary for designing MongoDB schemas.
Power Real Estate Property Analytics with MongoDB + SparkMongoDB
Speaker: Gheni Abla, Analytics Software Technical Architect, CoreLogic
Level: 200 (Intermediate)
Track: Data Analytics
CoreLogic is a leading global property information, analytics and solutions provider. The company provides a range of analytic solutions for automated property valuation and appraisals. This presentation will cover a recent project at CoreLogic that utilized MongoDB for storing property and ownership data for over 150 million properties. MongoDB provided powerful support for storing and searching location-based property data. The MongoDB-Spark connector facilitated seamless integration between data access and the Spark-based distributed analytics processing and MongoDB’s replication capability provided high-availability across data centers. This session will cover CoreLogic’s software architecture and real-world development experiences with geospatial data and MongoDB-Spark connector.
What You Will Learn:
- How CoreLogic manages and stores data for over 150 million real estate properties in MongoDB, and utilizes MongoDB's geospatial data support.
- How to distribute large-scale analytics process using Spark and improve data access efficiency using the MongoDB-Spark connector.
- How to utilize MongoDB replication for implementing high-availability between two geographically dispersed data centers.
MongoDB Atlas is a database as a service for MongoDB that allows users to focus on building applications rather than managing infrastructure. It provides scalable and highly available MongoDB clusters in the cloud that automatically handle backups, patching, upgrades and maintenance. MongoDB Atlas offers various pricing and consumption models to suit different use cases. It has integrations with tools and services like MongoDB Compass and supports MongoDB versions 3.2 and 3.4.
A Mobile-First, Cloud-First Stack at PearsonMongoDB
Pearson has transitioned to using open source, NoSQL, and MongoDB as the foundation of its technology stack. MongoDB was chosen because it is open source, agile, scalable, and has fast reads and queries. Pearson uses MongoDB for identity and access management, adaptive learning and analytics, and its activity framework. Going forward, Pearson aims to extend MongoDB globally while addressing challenges around configuration, licensing, and developer adoption of NoSQL.
Webinar: MongoDB Compass - Data navigation made easyMongoDB
This document discusses MongoDB Compass, a graphical user interface (GUI) for MongoDB. It begins by describing the limitations of navigating data using the MongoDB Shell. It then introduces MongoDB Compass and describes its key features, which include visualizing schemas, building queries visually, viewing individual documents, debugging and optimizing performance using explain plans, and inserting, modifying, and deleting documents. The document concludes with an announcement of a live demo of MongoDB Compass and provides more information on downloading, documentation, and current versions.
Webinar: Data Streaming with Apache Kafka & MongoDBMongoDB
This document summarizes a webinar about integrating Apache Kafka and MongoDB for data streaming. The webinar covered:
- An overview of Apache Kafka and how it can be used for data transport and integration as well as real-time stream processing.
- How MongoDB can be used as both a Kafka producer, to stream data into Kafka topics, and as a Kafka consumer, to retrieve streamed data from Kafka for storage, querying, and analytics in MongoDB.
- Various use cases for integrating Kafka and MongoDB, including handling real-time updates, storing raw and processed event data, and powering real-time applications with analytics models built from streamed data.
The world of IT is shifting rapidly towards DevOps with analysts predicting the majority of companies will adopt DevOps practices in the next few years. In fact, in a recent study on DevOps by International Data Corp. (IDC), they believe that DevOps will be adopted (in either practice or discipline) by 80% of Global 1000 organizations by 2019!
Forming a DevOps team seems like a natural step, but the idea of creating a dedicated DevOps team has ignited anger in the community. Why? What's the concern? Is a DevOps team evil? Completely necessary? A necessary Evil?
Join IBM UrbanCode's Eric Minick to learn the pitfalls of creating bad DevOps teams, and successful approaches of good ones. Along the way, we’ll explore other heresies such as using tools to change culture.
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
This document provides an agenda for an event titled "La nuova architettura di classe Enterprise" (The new Enterprise class architecture) taking place on July 5th, 2016 in Milan, Italy. The agenda includes introductions from 18:30-18:45, a discussion on how data architectures have changed since relational databases from 18:45-19:30, a case study from 19:30-20:00, and a discussion on how companies are benefiting from MongoDB support from 20:00-20:15. It also lists the contact information for the event lead, Valerio Bianchi.
Faster, Simpler, Better - MongoDB to the rescue MongoDB
The document summarizes a presentation given by Jon Vines of AO.com on adopting microservices. Jon defines key concepts like monoliths and microservices. He discusses when to use microservices and the important role of data in microservices. Specifically, he covers accessing and sharing data between microservices using events, requests/responses, and materialized views. Jon also discusses avoiding anti-patterns like single responsibility services and independent deployments. He concludes by mentioning AO.com chose MongoDB due to its support for rapid schema evolution and low operational overhead.
MongoDB is a leading database technology that combines the foundations of RDBMS with the innovations of NoSQL, allowing organizations to simultaneously boost productivity and lower TCO.
MongoDB Enterprise Advanced is a finely-tuned package of advanced software, enterprise-grade support, and other services designed to accelerate your success with MongoDB in every stage of your app lifecycle, from early development to the scale-out of mission-critical production environments.
With the release of 3.2, MongoDB Enterprise Advanced now includes:
MongoDB Ops Manager 2.0
MongoDB Compass, the MongoDB GUI
MongoDB Connector for Business Intelligence
Encrypted Storage Engine
In-Memory Storage Engine (beta)
Attend this webinar to learn how MongoDB Enterprise Advanced can help you get to market faster and de-risk your mission critical deployments.
Using Pivotal Cloud Foundry with Google’s BigQuery and Cloud Vision APIVMware Tanzu
Enterprise development teams are building applications that increasingly take advantage of high-performing cloud databases, storage, and even machine learning. In this webinar, Pivotal and Google will review how enterprises can combine proven cloud-native patterns with groundbreaking data and analytics technologies to deliver apps that provide a competitive advantage. Further, we will conduct an in-depth review of a sample Spring Boot application that combines PCF and Google’s most popular analytics services, BigQuery and Cloud Vision API.
Speakers:
Tino Tereshko, Big Data Lead, Google
Joshua McKenty, Senior Director, Platform Engineering, Pivotal
This document provides an overview of New Relic's app-centric Docker monitoring capabilities. It begins with introductions of Andrew Marshall, a senior product marketing manager, and Adam Larson, a software engineering manager. The webinar agenda is then outlined, covering why software monitoring is needed, an introduction to New Relic, Docker, and how Docker is used. It then demonstrates Docker monitoring in New Relic before providing steps to get started. Key points about New Relic's Docker monitoring include that it prioritizes useful over impressive information, optimizes for the present since the future is unclear, and fixes issues like not treating containers as first-class nodes.
Beyond rapid development: continuous operations and telemetry/monitoring with...VMware Tanzu
SpringOne Platform 2017
Jason Mimick, MongoDB
"As software becomes the competitive currency, more and more organizations are leveraging new age rapid development practices to build applications faster. While these practices can help in rapidly building software, delivering and operating mission critical applications at scale often present significant challenges.
In this talk, we’ll discuss how developers that are using Pivotal Cloud Foundry platform can easily and seamlessly deploy geo distributed, horizontally scalable MongoDB Enterprise deployments through a self service model. Through a demo, we will walk through examples to show the ease of deploying a distributed MongoDB sharded cluster on Pivotal Cloud Foundry. We’ll also discuss how DevOps can offer MongoDB-as-a-Service platform while still maintaining the control and security of running such service on their own private or hybrid cloud.
Going beyond the benefits of deployment automation, we will showcase how DevOps lives can be simplified with full database management capabilities such as backup and restore, index builds, continuous monitoring, hot upgrades and all the other things that are required to ensure high service levels and operate at scale."
Integration (Application?) Modernization with IBM GarageAndrew Ferrier
The document discusses how application modernization requires integration modernization as well. Integration architectures have evolved from monolithic to SOA to microservices-based. Modern integration involves deploying integrations as lightweight microservices in containers rather than centralized integration hubs. This allows for greater agility, autonomy, and cloud-native capabilities. The IBM Garage approach can help plan and execute an integration modernization project through techniques like design thinking, architecture workshops, and DevOps practices.
My presentation for our Benelux IBM Rational Innovate event. This presentation explains how the IBM Bluemix and devops as a service solution can be used for modern cloud based development.
What’s New with NGINX Controller Load Balancing Module 2.0?NGINX, Inc.
On-Demand Link: https://www.nginx.com/resources/webinars/new-nginx-controller-load-balancing-module-2-0/
Speaker:
Karthik Krishnaswamy
Sr Product Marketing Manager
NGINX, Inc.
About the webinar
Achieving consistency in application performance begins with a consistent load balancing configuration. NGINX Controller Load Balancing Module 2.0 introduces a policy-driven approach to configuration management resulting in consistent configuration across multiple NGINX Plus instances. This can be achieved with the push of a button, saving time and effort for I&O teams. We will also showcase NGINX Controller’s integration with ServiceNow which seamlessly blends into your IT service management workflows.
The webinar includes a live demo of the Load Balancing Module in action.
Pivoting to Cloud: How an MSP Brokers Cloud Services RightScale
Many Managed Services Providers (MSPs) are looking to shift their cloud services offerings to encompass public and private cloud options. Learn how one MSP, Offis, uses RightScale to broker services across a variety of cloud providers as well as virtualized environments in order to serve the diverse needs of its customers.
This document discusses how MongoDB supports agile development. It describes how MongoDB enables factors like flexible tools, organizational structures, and modern infrastructure that support agile practices. Examples are given of companies that implemented MongoDB and were able to build products faster, scale more easily, and gain insights from data. The key takeaway is that MongoDB helps organizations be more agile by supporting infrastructure, technical, organizational, and business needs.
Agile Software Development is becoming the defacto way of building software these days. More and more enterprises, from large fortune 500 to small shop start-ups, are adopting agile development methodologies. But Agile Software development is more than just a methodology or a practice. It's also a combined set of tools and platforms that today are at our disposal to allows to iterate faster, get-to-market sooner and also fail faster. These set of tools augment our development cycles by a few orders of magnitude and allow developers to be much more productive.
IBM API Connect provides an integrated platform for creating, managing, and securing APIs and microservices across hybrid cloud environments. It allows organizations to expose existing systems as APIs, create new APIs and microservices, and connect applications in the cloud and on-premises. This helps organizations unlock value from existing assets, power digital transformation, and stimulate innovation.
This document discusses how APIs can power the API economy and digital transformation. It describes how APIs can be used to expose functionality from various systems and data sources, and how API management is needed to securely manage APIs. The document promotes IBM API Connect as a way to create, manage and secure APIs and microservices across hybrid cloud environments to drive innovation. It provides links to learn more about API Connect and digital transformation workshops.
ConnectED2015: IBM Domino Applications in BluemixMartin Donnelly
IBM ConnectED 2015 Abstract:
This session will show how Bluemix enables you to deploy Domino applications to the cloud in a matter of minutes. We will demonstrate how to leverage Bluemix buildpacks like XPages and Node.js both to modernize Domino applications and to give them a new home on a highly scalable and resilient PaaS. You will learn how to mix and match Bluemix runtimes and services to create Domino cloud apps rapidly, stage them privately and put them into production. You'll see how to use cutting edge tooling to monitor and manage your apps. This is the future.
Alexander Ringsdorff Magecamp 2009: The challenges, and solutions, to enterpr...Alexander Ringsdorff
Alexander Ringsdorff, CEO of Visions, reflects on his experience with Magento, providing case studies from the MyDeco and Jack Wolfskin projects he oversaw and provides real-world insight how the associated technical challenges - integration with backend systems, scalability and performance - can be overcome.
Branf final bringing mongodb into your organization - mongo db-boston2012MongoDB
This document discusses bringing MongoDB into an organization. It begins by outlining why organizations should change now due to trends in big data, agile development, and new hardware architectures. It then summarizes that MongoDB is a reasonable and safe choice, highlighting its promises around developer productivity, ease of use, durability, speed and scalability, and economic value. Real-world examples of companies like Intuit and Wordnik that use MongoDB are provided. Finally, it discusses how 10gen, the creators of MongoDB, provide an ecosystem, community, and commercial services to support MongoDB users.
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
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
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
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
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.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
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 Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
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
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
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
Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.
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
aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.
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.
Web & Graphics Designing Training at Erginous Technologies in Rajpura offers practical, hands-on learning for students, graduates, and professionals aiming for a creative career. The 6-week and 6-month industrial training programs blend creativity with technical skills to prepare you for real-world opportunities in design.
The course covers Graphic Designing tools like Photoshop, Illustrator, and CorelDRAW, along with logo, banner, and branding design. In Web Designing, you’ll learn HTML5, CSS3, JavaScript basics, responsive design, Bootstrap, Figma, and Adobe XD.
Erginous emphasizes 100% practical training, live projects, portfolio building, expert guidance, certification, and placement support. Graduates can explore roles like Web Designer, Graphic Designer, UI/UX Designer, or Freelancer.
For more info, visit erginous.co.in , message us on Instagram at erginoustechnologies, or call directly at +91-89684-38190 . Start your journey toward a creative and successful design career today!
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Train Smarter, Not Harder – Let 3D Animation Lead the Way!
Discover how 3D animation makes inductions more engaging, effective, and cost-efficient.
Check out the slides to see how you can transform your safety training process!
Slide 1: Why 3D animation changes the game
Slide 2: Site-specific induction isn’t optional—it’s essential
Slide 3: Visitors are most at risk. Keep them safe
Slide 4: Videos beat text—especially when safety is on the line
Slide 5: TechEHS makes safety engaging and consistent
Slide 6: Better retention, lower costs, safer sites
Slide 7: Ready to elevate your induction process?
Can an animated video make a difference to your site's safety? Let's talk.
Social Media App Development Company-EmizenTechSteve Jonas
EmizenTech is a trusted Social Media App Development Company with 11+ years of experience in building engaging and feature-rich social platforms. Our team of skilled developers delivers custom social media apps tailored to your business goals and user expectations. We integrate real-time chat, video sharing, content feeds, notifications, and robust security features to ensure seamless user experiences. Whether you're creating a new platform or enhancing an existing one, we offer scalable solutions that support high performance and future growth. EmizenTech empowers businesses to connect users globally, boost engagement, and stay competitive in the digital social landscape.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Unlocking the Power of IVR: A Comprehensive Guidevikasascentbpo
Streamline customer service and reduce costs with an IVR solution. Learn how interactive voice response systems automate call handling, improve efficiency, and enhance customer experience.
IT help desk outsourcing Services can assist with that by offering availability for customers and address their IT issue promptly without breaking the bank.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Splunk Security Update | Public Sector Summit Germany 2025Splunk
Webinar: Gaining Insights into MongoDB with MongoDB Cloud Manager and New Relic
1. Gaining Insights into MongoDB with
Cloud Manager and New Relic
Sam Weaver, MongoDB Product Manager
Marco Marquez, New Relic Technical Partner Manager
2. 2
Agenda
• What is MongoDB Cloud Manager? (5 mins)
• What is New Relic: APM, Insights, Plugins? (5 mins)
• Monitoring MongoDB from within New Relic (10 mins)
• New Relic API (5 mins)
• Q&A (5 mins)
9. 9
You are a Software Business!
9
Digital
Consumer
Dev
Ops
Product
Cloud
Big DataMobile
Social
Software
Business
10. Business Success
Private CloudPrivate Cloud
Customer Experience
Mobile / Apps / Browser
Customer
Micro Services
Public Cloud
Web Server
Application Performance
10
New Relic in Your Software Architecture
API
17. 17
● No download required
● Summary dashboard
● Metrics available for sharded clusters,
replica sets and individual hosts
● Comprehensive metrics from Cloud
Manager:
○ Memory usage
○ Errors and asserts
○ Disk Activity
○ Index Usage Stats
○ Network
○ WiredTiger specific information
MongoDB Metrics in New Relic Plugins