Operations | Monitoring | ITSM | DevOps | Cloud

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events.

Justin Bodeutsch, Systems Administrator at Planning Center discusses how Datadog’s alerting, log management, serverless, and infrastructure monitoring tools have simplified internal processes and been instrumental in minimizing MTTR across the business.

Since originating at Google, site reliability engineering (SRE) has enabled countless teams to effectively manage large-scale systems, improve the stability of complex services, and automate operational tasks using software. In this SRE panel, Yuri Grinshteyn (Customer Reliability Engineer, Google) will speak about the core principles of SRE and how the culture is practiced at Google. He will be joined by Llywelyn Griffith-Swain (SRE Manager, Vodafone), who will share Vodafone’s story of adopting SRE, lessons learned, and their best practices for maintaining the cultural shift across teams.

At Datadog, customer trust and data security are of the utmost importance. As a high growth company, navigating the tradeoffs of security and development agility are especially critical. Our customers expect us to continually improve our platform, while providing a compliant, secure environment for their most critical data. Balance is key to rolling out features rapidly and keeping systems secure.

Datadog Live Containers provides multidimensional, real-time visibility into Kubernetes workloads, from Deployments and ReplicaSets down to individual Containers. Using Datadog's curated metrics, teams can track the health and performance of their Kubernetes resources in the appropriate context and surface critical information about every layer of their Cluster.

Datadog APM provides end-to-end application monitoring, from frontend browsers to backend database queries and code profiles, so you can monitor and optimize your stack at any scale—no sampling required. APM and distributed tracing are fully integrated with the rest of Datadog, giving you rich context for troubleshooting issues in real time.

Datadog offers a single unified platform to monitor your infrastructure, applications, networks, security threats, UX, and more. For full visibility, you can seamlessly navigate between metrics, traces, and logs. Built-in machine learning tools, clear visualizations, and a companion mobile app make it easy to monitor growing environments. See inside any stack, any app, at any scale, anywhere.

Datadog Serverless Monitoring tracks the health of all your functions in a single pane of glass. Whether your applications are completely serverless or use a mix of infrastructure components, you can quickly detect and troubleshoot performance issues with end-to-end tracing, auto-generated insights, deployment tracking, and more.

Datadog offers a single unified platform to monitor your infrastructure, applications, networks, security threats, UX, and more. See inside any stack, any app, at any scale, anywhere. Get started with a free 14-day trial: datadog.com

To make sure that customers are getting the most out of the platform in the least amount of time, Datadog maintains more than 400 built-in integrations. These integrations collect metrics, events, and logs from a diverse set of sources: databases, source control, bug tracking tools, cloud providers, automation tools, and more. How do we make sure that all those integrations are properly tested, updated for new features, and delivered to millions of hosts?