When you set up alerts in MongoDB Management Service, you now have the option to send them to PagerDuty. Like MMS, PagerDuty helps you increase application uptime and identify performance issues. With this new integration, you can set up multiple on-call schedules in PagerDuty to rotate your MMS alerts to different members of the team.
MongoDB Management Service tracks dozens of different MongoDB-specific metrics, providing you with visibility into the performance of you MongoDB system. Using MMS, you can create alerts when particular statistics are out of range. While previously you were limited to setting email and mobile alerts to individual members of the team, you can now rotate those alerts around your team, giving everyone time off by easily scheduling on-call rotations. And with PagerDuty, there are automated escalations so you can be sure that you’ll never miss an alert.
Meet Alvin Richards: Technical Director for Performance and Quality
Meet Alvin Richards, MongoDB’s Technical Director for Performance and Quality. What is your role at MongoDB? I’m MongoDB’s Technical Director for Performance and Quality. I work in the engineering department, but my job is cross-functional across all our products. I make sure everything we produce is high quality, acceptable, correct, and performant. Where were you before MongoDB? Why did you choose to come to MongoDB? I’ve worked at a variety of small companies and startups. Right out of college I started at Oracle, a little company building this new thing called a relational database. Soon Oracle became the market leader in that space; we’d completely changed how people thought about data. After sixteen years I left to work at a variety of startups and pursue a second degree. When I joined MongoDB, I felt like it was the way Oracle had been in the eighties; we were disrupting the ways people thought about their data. We were fixing areas where relational theory had broken down and now we’re reinventing the industry. I’ve been here for four years and we’ve just only started. What’s your hometown? That’s a good question. My heart says San Francisco, but my birth certificate says London. Right now I live in Belmont, California. Did you have previous experience using MongoDB before you arrived? If so, how are things different now that you work at MongoDB? My education was Dwight asking me to build a 100-node cluster for a conference in 6 weeks. So it was a baptism of fire in learning the technology, how to deploy something that size on EC2, figuring out LVM versus MD and many other issues. I love we now have a formal education program… but sometimes I think the new employees are missing out on an experience. Have you had any personal projects where you’ve used MongoDB? I’m hacking my Linn Magik DS at home. I think I can do better than the Frankenstein set of technologies the vendor thinks I have to use to simply play music over a network. Bike or public transportation to work? Electric car. I get to hack the system by being in a car alone and using the carpool lane. That’s California! What’s a typical day (or week) for you? We work in a form of organized chaos because we’re developing a new product and disrupting an existing space. You need to be able to think on your feet but keep the mission in mind. Each day starts with a triage of what happened overnight, covering everything from customer cases, performance runs in the lab, requests from the field or partners. It’s then trying to find the balance of keeping the short term moving but make progress on your strategic goals (i.e. keep your eyes on the prize). What do you love most about MongoDB? The people. There were only twelve of us when I joined and now we’re 340. Part of the joy of being here is watching the growth of not only the organization but also the people. New hires mature and take on new roles and opportunities. It’s very exciting to watch. What’s the most challenging aspect of your job? Solving the next problem. I could say starting as the initial employee in California and building that team from scratch. Then going to Europe for two years and doing the same thing for a whole continent. We had to go to community events, contact existing customers and find new ones, join meetups, and try to figure out what was happening when and where and why. You have to do literally everything. I’m doing the same with my new team, starting from scratch and building in three locations (New York, Palo Alto and Austin) at the same time. What’s one of the most rewarding experiences you’ve had working here so far? Random people coming up to me after to talk or meetup to tell me that I’ve helped them think through the problems they have been having. What’s your favorite Seamless lunch order? BLT from ‘wichcraft Name one secret skill you have, unrelated to work. Debugging a 1965 Datsun Fairlady. A rare but critical skill to ownership. Kindle or book? What’s your favorite book? Always a book, preferably on a beach. I’m not sure if this is my favorite but I enjoy “Season of Blood” by Fergal Keene immensely. Describe your perfect weekend. The kids don’t wake me up too early (they’re 11 and 8). Southampton wins a soccer game. I get to spend time with the family and dog (a 2 year old Hungarian Vizsla). Maybe playing some Apex Twin or Underworld a little too loudly on the turntables. So what did you get that second degree in? I graduated with a degree in computer science when I was 19. I worked at Oracle for about 7 or 8 years, and then I realized that tech was here to stay, and I could really do this job for the rest of my life. So I decided to go out and do what I wanted before things got too complicated (worrying about a family, marriage, etc.) I got a degree in photography, then went off to travel the world and take photos. I did a lot of work for the IRCR (International Committee of the Red Cross). They were fun times and a great way to collect stories to tell the grandchildren, but the bug of technology was never far away for me. If you're interested in joining the MongoDB Team there many open positions available in Engineering, Sales, Marketing, and Business Development. To learn more about open roles at MongoDB, please visit the MongoDB Careers Page .
How DataSwitch And MongoDB Atlas Can Help Modernize Your Legacy Workloads
Data modernization is here to stay, and DataSwitch and MongoDB are leading the way forward. Research strongly indicates that the future of the Database Management System (DBMS) market is in the cloud, and the ideal way to shift from an outdated, legacy DBMS to a modern, cloud-friendly data warehouse is through data modernization. There are a few key factors driving this shift. Increasingly, companies need to store and manage unstructured data in a cloud-enabled system, as opposed to a legacy DBMS which is only designed for structured data. Moreover, the amount of data generated by a business is increasing at a rate of 55% to 65% every year and the majority of it is unstructured. A modernized database that can improve data quality and availability provides tremendous benefits in performance, scalability, and cost optimization. It also provides a foundation for improving business value through informed decision-making. Additionally, cloud-enabled databases support greater agility so you can upgrade current applications and build new ones faster to meet customer demand. Gartner predicts that by 2022, 75% of all databases will be on the cloud – either by direct deployment or through data migration and modernization. But research shows that over 40% of migration projects fail. This is due to challenges such as: Inadequate knowledge of legacy applications and their data design Complexity of code and design from different legacy applications Lack of automation tools for transforming from legacy data processing to cloud-friendly data and processes It is essential to harness a strategic approach and choose the right partner for your data modernization journey. We’re here to help you do just that. Why MongoDB? MongoDB is built for modern application developers and for the cloud era. As a general purpose, document-based, distributed database, it facilitates high productivity and can handle huge volumes of data. The document database stores data in JSON-like documents and is built on a scale-out architecture that is optimal for any kind of developer who builds scalable applications through agile methodologies. Ultimately, MongoDB fosters business agility, scalability and innovation. Key MongoDB advantages include: Rich JSON Documents Powerful query language Multi-cloud data distribution Security of sensitive data Quick storage and retrieval of data Capacity for huge volumes of data and traffic Design supports greater developer productivity Extremely reliable for mission-critical workloads Architected for optimal performance and efficiency Key advantages of MongoDB Atlas , MongoDB’s hosted database as a service, include: Multi-cloud data distribution Secure for sensitive data Designed for developer productivity Reliable for mission critical workloads Built for optimal performance Managed for operational efficiency To be clear, JSON documents are the most productive way to work with data as they support nested objects and arrays as values. They also support schemas that are flexible and dynamic. MongoDB’s powerful query language enables sorting and filtering of any field, regardless of how nested it is in a document. Moreover, it provides support for aggregations as well as modern use cases including graph search, geo-based search and text search. Queries are in JSON and are easy to compose. MongoDB provides support for joins in queries. MongoDB supports two types of relationships with the ability to reference and embed. It has all the power of a relational database and much, much more. Companies of all sizes can use MongoDB as it successfully operates on a large and mature platform ecosystem. Developers enjoy a great user experience with the ability to provision MongoDB Atlas clusters and commence coding instantly. A global community of developers and consultants makes it easy to get the help you need, if and when you need it. In addition, MongoDB supports all major languages and provides enterprise-grade support. Why DataSwitch as a partner for MongoDB? Automated schema re-design, data migration & code conversion DataSwitch is a trusted partner for cost-effective, accelerated solutions for digital data transformation, migration and modernization through a modern database platform. Our no-code and low-code solutions along with cloud data expertise and unique, automated schema generation accelerates time to market. We provide end-to-end data, schema and process migration with automated replatforming and refactoring, thereby delivering: 50% faster time to market 60% reduction in total cost of delivery Assured quality with built-in best practices, guidelines and accuracy Data modernization: How “DataSwitch Migrate” helps you migrate from RDBMS to MongoDB DataSwitch Migrate (“DS Migrate”) is a no-code and low-code toolkit that leverages advanced automation to provide intuitive, predictive and self-serviceable schema redesign from a traditional RDBMS model to MongoDB’s Document Model with built-in best practices. Based on data volume, performance, and criticality, DS Migrate automatically recommends the appropriate ETTL (Extract, Transfer, Transform & Load) data migration process. DataSwitch delivers data engineering solutions and transformations in half the timeframe of the existing typical data modernization solutions. Consider these key areas: Schema redesign – construct a new framework for data management. DS Migrate provides automated data migration and transformation based on your redesigned schema, as well as no-touch code conversion from legacy data scripts to MongoDB Atlas APIs. Users can simply drag and drop the schema for redesign and the platform converts it to a document-based JSON structure by applying MongoDB modeling best practices. The platform then automatically migrates data to the new, re-designed JSON structure. It also converts the legacy database script for MongoDB. This automated, user-friendly data migration is faster than anything you’ve ever seen. Here’s a look at how the schema designer works. Refactoring – change the data structure to match the new schema. DS Migrate handles this through auto code generation for migrating the data. This is far beyond a mere lift and shift. DataSwitch takes care of refactoring and replatforming (moving from the legacy platform to MongoDB) automatically. It is a game-changing unique capability to perform all these tasks within a single platform. Security – mask and tokenize data while moving the data from on-premise to the cloud. As the data is moving to a potentially public cloud, you must keep it secure. DataSwitch’s tool has the capability to configure and apply security measures automatically while migrating the data. Data Quality – ensure that data is clean, complete, trustworthy, consistent. DataSwitch allows you to configure your own quality rules and automatically apply them during data migration. In summary: first, the DataSwitch tool automatically extracts the data from an existing database, like Oracle. It then exports the data and stores it locally before zipping and transferring it to the cloud. Next, DataSwitch transforms the data by altering the data structure to match the re-designed schema, and applying data security measures during the transform step. Lastly, DS Migrate loads the data and processes it into MongoDB in its entirety. Process Conversion Process conversion, where scripts and process logic are migrated from legacy DBMS to a modern DBMS, is made easier thanks to a high degree of automation. Minimal coding and manual intervention are required and the journey is accelerated. It involves: DML – Data Manipulation Language CRUD – typical application functionality (Create, Read, Update & Delete) Converting to the equivalent of MongoDB Atlas API Degree of automation DataSwitch provides during Migration Schema Migration Activities DS Automation Capabilities Application Data Usage Analysis 70% 3NF to NoSQL Schema Recommendation 60% Schema Re-Design Self Services 50% Predictive Data Mapping 60% Process Migration Activities DS Automation Capabilities CRUD based SQL conversion (Oracle, MySQL, SQLServer, Teradata, DB2) to MongoDB API 70% Data Migration Activities DS Automation Capabilities Migration Script Creation 90% Historical Data Migration 90% 2 Catch Load 90% DataSwitch Legacy Modernization as a Service (LMaas): Our consulting expertise combined with the DS Migrate tool allows us to harness the power of the cloud for data transformation of RDBMS legacy data systems to MongoDB. Our solution delivers legacy transformation in half the time frame through pay-per-usage. Key strengths include: ● Data Architecture Consulting ● Data Modernization Assessment and Migration Strategy ● Specialized Modernization Services DS Migrate Architecture Diagram Contact us to learn more.