Data and the European Landscape: 3 Trends for 2022

Mat Keep and Dominic Wellington
December 21, 2021 | Updated: June 3, 2022

The past two years have brought massive changes for IT leaders: large and complex cloud migrations; unprecedented numbers of people suddenly working, shopping and learning from home; and a burst in demand for digital-first experiences.

Like everyone else, we are hoping that 2022 isn’t so disruptive (fingers crossed!), but our customer conversations in Europe do lead us to believe the new year will bring new business priorities. We’re already noticing changes in conversations around vendor lock-in, thanks to the Digital Markets Act, a new enthusiasm for combining operational and analytical data to drive new insights faster, and a more strategic embrace of sustainability. Here’s how we see these trends playing out in 2022.

Digital markets act draws new attention to cloud vendor lock-in in Europe

We’ve heard plenty about the European Commission’s Digital Markets Act, which, in the name of ensuring fair and open digital markets, would place new restrictions on companies that are deemed to be digital “gatekeepers” in the region. That discussion will be nothing compared to the vigorous debate we expect once the EU begins the very tricky political business of determining exactly which companies will fall under the act.

If the EU sets the bar for revenues, users, and market size high enough, it’s possible that the regulation will end up affecting only Facebook, Amazon, Google, Apple, and Microsoft. But a European group representing 2,500 CIOs and almost 700 organisations is now pushing to have the regulation encompass more software companies. Their main concern centers around “distorted competition” in cloud infrastructure services and a worry that companies are being locked into one cloud vendor.

A trend that will likely increase in 2022 that pushes back on cloud vendor lock-in is embracing multi-cloud strategies. We should expect to see more organisations in the region pursuing multi-cloud environments as a means to improve business continuity and agility whilst being able to access best of breed services from each cloud provider. As we have always said…”it’s fine to date your cloud provider….but don’t ever marry them.”

The convergence of operational and analytical data

The processing of operational and analytical data is almost always contained in different data systems, each tuned to that use case and managed by separate teams. But because that data lives in separate places, it’s almost impossible for organisations to generate insights and automate actions in real time, against live data.

We believe 2022 is the year we’ll see a critical mass of companies in the region make significant progress toward a convergence of their operational and analytical data. We’re already starting to see some of the principles of microservices in operational applications, such as domain ownership, be applied to analytics as well. We’re hearing about this from so many of our customers locally, who are looking at MongoDB as a data platform that allows them to perform queries across both real-time and historical data, using a unified platform and a single query API. This results in the applications they are building becoming more intelligent and contextual to their users, while avoiding dependencies on centralized analytics teams that otherwise slow down how quickly new, data-driven experiences can be released.

Sustainability drives local strategic IT choice

Technology always has some environmental cost. Sometimes that’s obvious — such as the energy needs and emissions associated with Bitcoin mining. More often, though, the environmental costs are well hidden.

The European Green Deal commits the European Union to reducing emissions by 55% by 2030, with a focus on sustainable industry. With the U.N. Climate Change Conference (COP26) recently completed in Glasgow, and coming off the hottest European summer on record, climate issues have become top of mind.

That means our customers are increasingly looking to make their technical operations more sustainable — including in their choice of cloud provider and data centers. According to research from IDC, more than 20% of CxOs say that sustainability is now important in selecting a strategic cloud service provider, and some 29% of CxOs are including sustainability into their RFPs for cloud services. Most interesting, 26% say they are willing to switch to providers with better sustainability credentials.

Historically, it’s been difficult to make a switch like that. That’s part of the reason we built MongoDB Atlas — to give our customers the flexibility to run in any region, with any of the three largest cloud providers, and to make it easy to switch between them, and even to run a single database cluster across them. Publicly available information about the footprint of individual regions and even single data centers will make it simpler for companies to make informed decisions. Already, at least one cloud platform has added indicators to regions with the lowest carbon footprint.

So while we hope 2022 will not be as disruptive as the years gone by, it will still bring seminal changes to our industry. These changes will also prompt organisations toward more agile, cohesive and sustainable data platform strategies as they seek to gain competitive advantage and exceed customer expectations.

Source: IDC, European Customers Engage Services Providers at All Stages of Their Cloud Journey, IDC Survey Spotlight, Doc #EUR248484021, Dec 2021

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Engagement Management at MongoDB: Meet Lalitesh Pal

I sat down with Lalitesh Pal , Senior Engagement Manager at MongoDB, to learn more about the Engagement Manager role and why joining the EMEA team is an exciting opportunity. Jackie Denner: Hi, Lalitesh. It’s great to meet you! Thanks for sharing some insight into Engagement Management at MongoDB with me. Can you start by telling me a bit about the Engagement Manager role? What are Engagement Managers responsible for? Lalitesh Pal: Engagement Management is a services sales role within the Professional Services organization at MongoDB. We ensure customers understand the value of MongoDB technology and drive the adoption of our technology in line with MongoDB best practices. Engagement Managers are engaged in the sales cycle early on in the process, typically right after the Account Executive has done their qualification. An Engagement Manager will then help gather the learning needs, drive the right services proposal, and determine how MongoDB can help customers develop applications on top of our data platform. Since a lot of MongoDB customers are new, or are new business units within existing customers, Engagement Managers also prepare tailored enablement plans to enable them with our technology, helping them become self-sufficient in the long run. JD: What skills and experience make someone successful in the Engagement Manager role? LP: Engagement Manager is a key role that enables our Sales team and helps further proliferate MongoDB product adoption in our customer base. To be really successful, you need techno-functional skills combined with strong commercial proposal and sales experience. If you have a winning and stretch mindset , you can ensure success is guaranteed. Needless to say, an Engagement Manager needs to have the collaborative spirit and be able to orchestrate things amongst multiple stakeholders - both internal and external. Finally, Engagement Managers need to feel confident working hand-in-hand with Account Executives to ensure that MondoDB is well-presented and positioned with the customer. I have been in services sales for about 7 years out of my 14 years of work experience. Engagement Managers need to understand technology on a high level. At the end of the day, the most successful Engagement Managers have a sales mindset and are able to connect with business stakeholders and explain the value of MongoDB Professional Services. It’s important to note that Engagement Management is not a delivery role. There are two aspects of Professional Services at MongoDB: one is services sales, the other is delivery. Engagement Managers work with a customer up until the deal is closed and have their own individual quarterly quotas. Once the deal is closed, an internal kickoff takes place with a Regional Delivery Manager and Project Manager who handle all aspects of delivery. JD: What is interesting and exciting about this role? LP: As an Engagement Manager, you’re not just a champion to your Account Executives and MongoDB, you’re also adding immense value to the customer and are their trusted advisor. In some cases, customers may reach out to you before reaching out to their Account Executive. For the customer, you are someone who is turning their ideas into reality by providing a way to make it happen. What really excites me about this role is the impact Engagement Managers have on our customers and the trust that we are able to build, which further reinforces the partnership spirit with them. JD: What learning and growth opportunities are there for someone in Engagement Management? What does the next career step look like? LP: Engagement Managers are currently aligned to Regional Vice Presidents and work at all levels of accounts, from our strategic “POD” accounts to the enterprise and the mid-market. From the Engagement Manager role, there is an opportunity to become a Senior Engagement Manager and eventually a Principal Engagement Manager. We offer career paths for those who want to remain individual contributors and those who are interested in managerial roles leading a team. MongoDB is also very committed to internal mobility, and there is an opportunity to transfer to other roles such as Customer Success or Practice Leads, both of which are global teams. JD: What is the team culture like? LP: Our EMEA team currently consists of six Engagement Managers who report to the Director of Engagement Management, and we’re growing rapidly. We have regular team catch-ups where we discuss weekly forecasts, what’s working and what’s not within our accounts, and share best practices with one another. There is a true open door policy across the entire team -- everyone is just a ping away! We also have a very defined onboarding program for Engagement Managers. Onboarding is spread over five weeks, and new hires will participate in our Sales Bootcamp, new hire technical training, and a services-specific onboarding program where you’ll be assigned to a buddy who is responsible for helping you get settled in. JD: The Professional Services function at MongoDB is still taking shape. What has the Engagement Management team’s journey been like so far? LP: I joined MongoDB a year ago, and we’re always looking for Engagement Managers to change the way MongoDB sells professional services. When I started, we were doing volume-based selling with small deal sizes and packages or “off the shelf” offerings for customers. Now, it’s much more strategic and we’re selling bespoke offerings with project or program-based delivery. Instead of merely advising on how to set up our data platform, we now engage in developing the complete application and working with customer contacts such as C-levels and VPs instead of just architects. We are working on end-to-end projects that innovate on top of MongoDB, showing customers how to deliver faster and better thanks to our technology. All of this results in MongoDB’s reputation as a strategic partner. JD: Why did you join MongoDB, and what makes you stay? LP: What really got me excited initially was MongoDB’s well-structured hiring process that helped me understand the culture, people, and products. It was the culture at MongoDB that made the difference. The people here are truly fantastic, and the hiring process allowed me to interact with a lot of individuals. The second thing is the product. MongoDB’s products are amazing, and there’s nothing else like it on the market (at least nothing that’s competitive). You also receive a lot of autonomy here in general, but in the Engagement Manager role specifically, you’re given the freedom to reach out to customers directly, run your own pipeline generation plan for accounts in line with account strategy, and many times speak to customers one-on-one without an Account Executive present. Employee recognition is an important part of our culture as well. If you are good at what you do, MongoDB will applaud you at all levels. I saw that I could really contribute and add value here, and I still feel that to this day. Interested in pursuing a career in Professional Services at MongoDB? We have several open roles on our teams across the globe and would love for you to transform your career with us!

December 21, 2021
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MongoDB Database Observability: Integrating with Monitoring Tools

This post is the final in a three-part series on leveraging database observability. Welcome back to our series on Leveraging Database Observability! Our previous post showcased a real-world use case highlighting how MongoDB Atlas’s observability tools effectively tackle database performance challenges. Whether you’re a developer, DBA, or DevOps engineer, our mission is to empower you to harness the full potential of your data through our observability suite . Integrating Atlas metrics with your central enterprise observability tools can simplify your operations. By seamlessly working with popular observability tools, our approach helps teams streamline workflows and enhance visibility across systems. Integrating MongoDB Atlas with third-party monitoring tools MongoDB’s developer data platform combines all essential data services for building modern applications within a unified experience. Our purpose-built observability tools for Atlas environments offer automatic monitoring and optimization, guiding diagnostics tailored specifically for MongoDB. Additionally, we extend Atlas metrics into your existing enterprise observability stack, enabling seamless integration without replacing your current tools. This creates a consolidated, single-pane view that unifies Atlas telemetry with other tech and application metrics, ensuring comprehensive visibility into both database and full-stack performance. This integration empowers you to monitor, receive alerts, and make data-driven decisions within your existing workflows, driving greater efficiency. Below is a quick guide to modifying integration settings through the Atlas UI and the popular integrations we support: Navigate to the Project Integrations page in Atlas. Choose the organization and project you want to configure from the navigation bar. On the Project Integrations page, select the third-party services you’d like to integrate. Configure the chosen services with the required API keys and regions. Critical integrations for your observability platform With Atlas’s Datadog and Prometheus integrations, you can send critical MongoDB metrics to these platforms, empowering detailed, real-time monitoring. Through Datadog , you can track database operation counts, query efficiency, and resource usage, ideal for pinpointing bottlenecks and managing resources. Similarly, Prometheus enables you to monitor essential metrics like query times, connection rates, and memory usage, supporting flexible tracking of database health and performance. Both integrations facilitate proactive detection of issues, alert configuration for resource thresholds, and a cohesive view of Atlas data when visualized in Grafana. Atlas’s integration with PagerDuty streamlines incident management by sending metrics like performance alerts, billing anomalies, and security events directly to PagerDuty. This integration records incidents automatically, notifies teams upon alerts, and supports two-way syncing, ensuring resolved alerts in Atlas are reflected in PagerDuty. It enables efficient incident response and resource allocation to maintain system stability. With Atlas integrations for Microsoft Teams and Slack, you can route key metrics—such as query latency, disk usage, and throughput—to these channels for timely updates. Teams can use these insights for real-time performance monitoring, incident response, and collaboration. Notifications through these platforms ensure your team stays informed on database performance, storage health, and user activity changes as they occur. Use case: Centralized observability with MongoDB Atlas, Datadog, and Slack Let’s walk through a hypothetical scenario for ShopSmart, an e-commerce company that leverages MongoDB Atlas to manage its product catalog and customer data. As traffic surges, the DevOps team faces challenges in monitoring application performance and database health effectively. To tackle these challenges, the team leverages MongoDB Atlas’ integration with Datadog and Slack, creating a powerful observability ecosystem. Integrating MongoDB Atlas with Datadog: The team pushes key MongoDB Atlas metrics into Datadog, such as query performance, connection counts, and Atlas Vector Search metrics. With Datadog, they can visualize these metrics and correlate overall MongoDB performance with their other applications. Out-of-the-box monitors and dedicated dashboards allow the team to track metrics like throughput, average read/write latency, and current connections. This visibility helps pinpoint bottlenecks in real time, ensuring optimal database performance and improving overall application responsiveness. Setting up alerts in Datadog: The team configures alerts for critical metrics like high query latency and increased error rates. When thresholds are breached, Datadog instantly notifies the team. This proactive approach allows the team to address potential performance issues before they impact customers. Integrating Datadog with Slack: To ensure fast communication, alerts are sent directly to the dedicated Slack channel, “ShopSmart-Alerts.” This integration fosters seamless collaboration, enabling the team to discuss and resolve issues in real-time. With these integrations, ShopSmart’s engineering team can monitor performance quickly and address issues efficiently. The unified observability approach enhances operational efficiency, improves the customer experience, and supports ShopSmart’s competitive edge in the e-commerce industry. By leveraging MongoDB Atlas, Datadog, and Slack, the team ensures scalable performance and drives continuous innovation. Conclusion MongoDB Atlas empowers developers and organizations to achieve unparalleled observability and control over their database environments. By seamlessly integrating with central enterprise observability tools, Atlas enhances your ability to monitor performance metrics and ensures you can do so within your existing workflows. This means you can focus on building modern applications confidently, knowing you have the insights and alerts necessary to maintain optimal performance. Embrace the power of MongoDB Atlas and transform your approach to database management—because your applications can thrive when your data is observable. And that wraps up our Leveraging Database Observability series! We hope you learned something new and found value in these discussions. Sign up for MongoDB Atlas , our cloud database service, to see database observability in action. To dive deeper and expand your knowledge, check out this learning byte for more insights on the MongoDB observability suite and how it can enhance your database performance.

November 14, 2024