G Suite is a collection of cloud-based productivity and collaboration tools developed by Google. Today, millions of teams use G Suite (e.g., Gmail, Drive, Hangouts) to streamline their workflows. Monitoring G Suite activity is an essential part of security monitoring and audits, especially if these applications have become tightly integrated with your organization’s data.
With the growing complexity and velocity of security threats in dynamic, cloud-native environments, it’s more important than ever for security teams to have the same visibility into their infrastructure, network, and applications that developers and operations do. Conversely, as developers and operations become responsible for securing their services, they need their monitoring platform to help surface possible threats.
At Datadog, we rely heavily on Kubernetes, and we’re facing some interesting challenges as we use Kubernetes to scale further and strive for greater efficiency. To address these challenges, we’ve been working on solutions to help us better control how our clusters scale, and to make it easier to deploy and manage the Datadog Agent. Today, we’re open sourcing these solutions to share them with the rest of the Kubernetes community.
AWS CloudFormation is a service that enables you to build infrastructure as code, similar to Terraform. You can create CloudFormation templates to provision and manage all of the resources for your stacks, such as EC2 instances, load balancers, and security groups. These templates automate the process of building infrastructure, creating repeatable steps that you can easily check into version control. This ensures that your configurations do not drift with each new environment you spin up.
AWS re:Invent is an annual gathering of tens of thousands of AWS staff, partners, and users for a full week of keynote sessions, feature announcements, customer case studies, hands-on workshops, and more. As in years past, we will be there with dozens of engineers, ready to answer your monitoring questions and show you the newest additions to Datadog.
Datadog provides full visibility into your environment through a wide variety of features, ranging from host and container maps of your dynamic infrastructure to customizable dashboards that provide a unified view of every layer of your stack. And now we’re pleased to announce that you can enjoy these visualization features and the rest of the Datadog platform in dark mode.
MapR is an Apache Hadoop distribution that enables organizations to manage, analyze, and store all their data at scale. MapR handles a wide range of data types across infrastructures and locations by leveraging dataware, an abstraction layer in the enterprise software stack that separates data from any dependencies. We’re excited to announce that our new integration provides comprehensive visibility across all the moving parts of your MapR deployment.
Amazon MQ is a managed ActiveMQ messaging service hosted on the AWS cloud. Amazon MQ’s brokers route messages between the nodes in a distributed application. Each broker is a managed AWS instance, so your messaging infrastructure doesn’t require the maintenance and upfront costs of a self-hosted solution.
In Part 1 of this series, we saw how Amazon MQ routes messages between services in a distributed application, and we looked at some of the key metrics that describe the performance of the message broker and its destinations. Now that we’ve introduced the metrics and their meaning, we’ll look at some tools you can use to collect and query metrics from Amazon MQ:
In Part 2 of this series, we showed you how to use CloudWatch to monitor metrics and logs from Amazon MQ. With CloudWatch, you can easily create ad-hoc graphs to visualize the performance of your messaging infrastructure and other AWS services you use (such as EC2, Lambda, and S3). But to monitor your Amazon MQ brokers, destinations, and clients alongside the rest of your applications and infrastructure, you need a monitoring platform that easily integrates with your whole technology stack.
