Marissa Jasso

13 results

Introducing MongoDB’s Prometheus Monitoring Integration

Wouldn’t it be great if you could connect your data stored in the world’s leading document database to the leading open source monitoring solution? Absolutely! And now you can. Prometheus has been a longstanding developer favored solution by providing monitoring and alerting functionality for cloud-native environments. It has key features like a multi-dimensional data model with time series support, a flexible query language to leverage their dimensionality called PromQL, and no reliance on distributed storage. MongoDB meets monitoring like never before Our integration allows you to view MongoDB hardware and monitoring metrics all within Prometheus. If you were a user of MongoDB and Prometheus before, this means you no longer have to worry about jumping back and forth between applications to view your data. Our official Prometheus integration provides complete feature parity with Atlas metrics in a secure and supported environment. With a few clicks in the UI, you can configure the integration and set up custom scraping intervals for your Atlas Admin API endpoints to ensure your view in Prometheus is consistently updated based on your preference. Best of all, this integration is free and available for use with MongoDB Atlas (clusters M10 and higher) and Cloud Manager. We truly believe in the freedom to run anywhere, and that includes viewing your data in your preferred monitoring solutions. How the Prometheus Integration works with MongoDB The MongoDB Prometheus integration converts the results of a series of MongoDB commands into Prometheus protocol, allowing Prometheus to scrape the metrics you can view through your MongoDB monitoring charts and more. Once Prometheus successfully collects your metrics, you can parse your metrics in the Prometheus UI or create custom dashboards in Grafana. Get started with the Prometheus Integration If you already have an Atlas account, get started by following the instructions below: Log into your Atlas account. Click the vertical three dot menu next to the project dropdown in the upper lefthand corner of the screen. Select “Integrations.” The Prometheus Monitoring Integration is listed here. Select “Configure” on the Prometheus tile, and follow the guided setup flow. If you don’t have an Atlas account, create an m10 or higher Atlas cluster and follow the instructions above. Note: If you were one of the customers who requested this integration, we thank you! We appreciate your feedback and suggestions, and look forward to implementing more in the future. Input is always welcome at .

March 16, 2022

Introducing: Atlas Operator for Kubernetes

The MongoDB Enterprise Operator serves to automate and manage MongoDB clusters on self-managed infrastructure. While this integration has provided complete control over self-managed MongoDB deployments from a single Kubernetes control plane, we’re taking it a step further by extending this functionality to our fully-managed database—MongoDB Atlas. We’re excited to introduce the trial version of the Atlas Operator for Kubernetes. The Atlas Operator will allow you to manage all your MongoDB Atlas clusters without ever having to leave Kubernetes. Keep your workflow as seamless and optimized as possible by managing the lifecycle of your cloud-native applications from where you want most. With the trial version of this Atlas Operator, you can provision and deploy fully-managed MongoDB Atlas clusters on the cloud provider of your choice through Kubernetes. This provider is especially important for those seeking to unlock the power of multi-cloud with unique tools and services native to AWS, Google Cloud, and Azure without any added complexity to the data management experience. With this new Atlas Operator, you get the best of all clouds with multi-cloud clusters on Atlas , coupled with the freedom to run your entire stack anywhere, all while managed in one central location. The “trial version” simply means it has all the core functionality to provision fully-managed Atlas clusters, but the bells and whistles are yet to come. In addition to encapsulating core Atlas functionality, it ensures Kubernetes Secrets are created for each database user which allows for easier management of sensitive data. The Atlas Operator also allows you to create IP Bindings so your applications can securely access clusters. If you’re interested in using the trial version of the Atlas Operator today, follow our quickstart guide below to get started! Quickstart Below you’ll find the steps to create your first cluster in Atlas using the Atlas Operator. Note that you need to have a running Kubernetes cluster before deploying the Atlas Operator. Register/Login to Atlas and create API Keys for your Organization. This information together with the Organization ID will be used to configure the Atlas Operator access to Atlas. Deploy the Atlas Operator kubectl apply -f \ Create a Secret containing connection information from step one. This Secret will be used by the Atlas Operator to connect to Atlas: kubectl create secret generic mongodb-atlas-operator-api-key \ --from-literal="orgId=<the_atlas_organization_id>" \ --from-literal="publicApiKey=<the_atlas_api_public_key>" \ --from-literal="privateApiKey=<the_atlas_api_private_key>" \ -n mongodb-atlas-system Create AtlasProject Custom Resource: cat <<EOF | kubectl apply -f - apiVersion: kind: AtlasProject metadata: name: my-project spec: name: Test Atlas Operator Project projectIpAccessList: - ipAddress: "" comment: "Allowing access to database from everywhere (only for Demo!)" EOF Create AtlasCluster Custom Resource cat <<EOF | kubectl apply -f - apiVersion: kind: AtlasCluster metadata: name: my-atlas-cluster spec: name: "Test-cluster" projectRef: name: my-project providerSettings: instanceSizeName: M10 providerName: AWS regionName: US_EAST_1 EOF (You'll have to wait until the cluster is ready - "status" field shows "ready:true":) kubectl get atlasclusters my-atlas-cluster -o=jsonpath='{.status.conditions[?(@.type=="Ready")].status}' True Create a Secret for the password that will be used to log into Atlas Cluster Database kubectl create secret generic the-user-password \ --from-literal="password=P@@sword%" Create AtlasDatabaseUser Custom Resource (references the password Secret) cat <<EOF | kubectl apply -f - apiVersion: kind: AtlasDatabaseUser metadata: name: my-database-user spec: roles: - roleName: "readWriteAnyDatabase" databaseName: "admin" projectRef: name: my-project username: theuser passwordSecretRef: name: the-user-password EOF Shortly the Secret will be created by the Atlas Operator containing the data necessary to connect to the Atlas Cluster. You can mount it into your application Pod and read the connection strings from the file or from the environment variable. kubectl get secrets/test-atlas-operator-project-test-cluster-theuser \ -o=jsonpath="{.data.connectionString.standardSrv}} | base64 -d mongodb+srv:// Stay Tuned for More Be on the lookout for updates in future blog posts! The trial version of the MongoDB Atlas Operator is currently available on multiple marketplaces, but we’ll be looking to make enhancements in the near future. For more information, check out our MongoDB Atlas & Kubernetes GitHub page and our documentation .

April 8, 2021

Free Your Genius With MongoDB Atlas Free Tier

What’s free, lasts forever, and can help you explore all your app ideas? You guessed it — a MongoDB Atlas free tier cluster. Obviously there are plenty of reasons to use a more powerful cluster, but before you do, let’s explore the capabilities of Atlas free tier. It’s Free — Forever You heard it here first, folks. You never have to pay for your free tier cluster, and you can keep it on for as long as you’d like, on us. That means there’s no credit card required. We invest in the wonder of you, and all your great ideas. Why not test them all out? New to Atlas? MongoDB Atlas is our fully managed global cloud database providing best-in-class infrastructure, automation and proven practices that guarantee availability, scalability, and compliance with security standards. Atlas is available on more than 70 regions across AWS, GCP and Azure on our M0 free tier or our paid tiers (starting at M2). The most popular features of Atlas are available on paid and free clusters . Features like MongoDB Atlas Search help you design and deliver top-notch built-in search capabilities. The Collections view lets you inspect and interact with your data. It also provides the Aggregation Pipeline Builder , which allows you to learn, test and visualize MongoDB’s aggregation framework. You can also use your free tier cluster to test out MongoDB solutions that come integrated with Atlas, such as MongoDB Realm and MongoDB Charts , which both have their own free tier versions. Free tier clusters are a great opportunity to start innovating at no cost. If you decide you want something more powerful, upgrading to a larger tier has never been easier. To get yourself an account, sign up for Atlas today. Atlas Veteran? If you already know your way around a cloud database, why would you use a free tier cluster? No matter where you are in your Atlas journey, free tier clusters can be useful for development environments, proof of concepts, checking out new Atlas features, and demos. No matter how many projects you have, you can always spin up one free tier cluster per project. It’s Advantageous Free tier clusters are deployed on the latest battle-tested version of MongoDB, meaning you’re getting all the perks (on-demand materialized views, client side FLE, wildcard indexes), with none of the cost. For more information on what you’d get with a free tier cluster today, read through this blog post, which discusses free tier features on MongoDB 4.2 . Free tier clusters come with 512MB of storage. If you’re curious about what you can do with that, we have a few ideas to get you started: Build a search engine in less than 10 minutes with MongoDB Atlas Search, test out MongoDB with new programming languages , or kickstart your Atlas learning process with our sample data sets . It’s Distributed Atlas free tier clusters are available on the cloud provider of your choice in the most popular regions, including AWS North Virginia, Google Cloud São Paulo, and Azure in the Netherlands. We’ll be expanding to more regions in the future, so if you don’t have access to your preferred region now, it won’t be long until you do. To see all the free tier options available, simply create a new cluster in the Atlas UI. The best way to check out all the features available on free tier is to play around with one yourself… What are you waiting for?

August 14, 2020