by Datadog

2022 Partner Theater Presentations

Day 1
Day 2

Day 1 | Sponsored by Finout

How to Use Datadog Metrics to Build Your Cost-Per-Customer View

Tuesday, October 18th, 1:30PM


Roi Ravhon, CEO and Co-Founder, Finout

Two of the main pain points in modern cost management are understanding your Kubernetes expenditure and determining how to appropriately attribute the costs of a multi-tenant environment to your customers.

In this talk, we will share the story of how Finout tackled these two issues using Datadog: We will show how Finout built a Kubernetes costs view based on Datadog container metrics. We will then look at how you can correlate those costs to other Datadog metrics so you could build your company’s unit economics and eventually assign those costs to your customers.

You can expect technical descriptions of how we built this integration, plus tips and tricks on how to do it in your own environment.

Once you know your per-customer’s expenditures you can:

  • Give easy answers to finance and C-level stakeholders about the business aspect of cloud usage.
  • Identify your biggest and smallest customers based on revenue.
  • Easily explain why your bills went up and if that’s a good thing.

Day 1 | Sponsored by Azure

Monitoring Modern Applications with Datadog in Microsoft Azure

Tuesday, October 18th, 2:00PM


Matt Burcke, Senior Cloud Solution Architect, Microsoft

Prashant Nayak, Senior Cloud Solution Architect, Microsoft

As organizations continue to expand their cloud footprint, managing costs without risking application performance is a priority. Because of this, Arm processors have become popular for their efficient, cost-effective processing power. Microsoft Azure’s new series of Azure Virtual Machines are powered by Ampere Altra Arm-based processors, which provide excellent price-performance for scale-out and cloud-native workloads. In this theater presentation, learn how Azure customers can migrate their compute-heavy workloads to this new architecture and see improved performance and cost savings.

In this theater session, we’ll look at how you can use Datadog to get full, out-of-the-box visibility into Arm- and x86-powered Azure infrastructure, enabling you to easily evaluate performance and ensure that any workloads you migrate continue to work properly.

Day 1 | Sponsored by Skykit

Five Easy Steps to Sharing Data on Large-Format Screens

Tuesday, October 18th, 6:00PM


Phil Burroughs, Chief Revenue Officer, Skykit

Companies around the world have identified how sharing real-time data with employees and teams can make a real impact on business results. However, these same organizations struggle with how to easily and securely share dashboards across large teams, especially with today’s distributed workforce.

In this session, we will provide a look at the importance of sharing real-time data with employees and the most common methods for doing so. We’ll also provide five easy steps anyone can take to bring their dashboards to life on large-format displays, easily reaching and engaging more employees, efficiently and securely. We will present data from Skykit’s State of Data Visualization in the Office report as well as case studies on the power of sharing dashboards with team members across an organization.

Day 2 | Sponsored by LaunchDarkly

Feature Flags + Observability: Better together

Wednesday, October 19th, 9:00AM


Munnawar Hashim, Product Manager, LaunchDarkly

Visibility into the health and performance of your application is essential for managing uptime. But what happens when there is a problem and every second before taking action matters? Deploying a fix or an update might not be fast enough to avoid customer impact. By pairing LaunchDarkly’s feature-management platform with Datadog’s observability platform, software teams can improve application reliability. You can turn observable insights from Datadog into action with LaunchDarkly’s ability to disable broken features or alter configurations in milliseconds, maintaining uptime without redeployment.

This session will cover three integrations that LaunchDarkly provides for Datadog and how developers and teams can make use of them to increase control while decreasing MTTR:

  • Audit Log Events: Send audit log events to Datadog to add context to your observability metrics.
  • Datadog Widget: Configure feature flags within your Datadog Dashboard using our widget, giving you control over your feature flags right where you need it.
  • Flag Triggers: Automatically disable broken features when a metric reaches a certain threshold with Flag Triggers.

In this talk you will gain an understanding of how to use feature flags to deliver software quickly and with less risk. You will also learn how to utilize LaunchDarkly in tandem with Datadog in order to gain real-time insights with each product launch and act upon them immediately using our integrations.

Day 2 | Sponsored by AWS

Observability for AWS Migrations

Wednesday, October 19th, 9:30AM


Payal Singh, Partner Success Solution Architect, AWS

Ramesh Thiagarajan, Senior Solutions Architect, AWS

Application migrations are rarely a stress-free endeavor. From installing agents at the source to validating data and configurations at the destination, there are multiple possible points of failure as you move services over. These problems are only exacerbated if your organization uses a variety of monitoring tools and mechanisms.

In this session, you will learn how Datadog’s single-pane-of-glass approach to observability and monitoring across all your workloads can simplify your migration journey. By making use of Datadog’s out-of-the-box integrations and unified approach, you can easily measure, compare, and contrast the performance of your applications down to the code level before, during, and after your migration.

Day 2 | Sponsored by AWS

Monitor Your Kubernetes Cluster in AWS with Datadog

Wednesday, October 19th, 11:30AM


Neha Julka, Product Marketing Manager, Datadog

Harshil Shah, Partner Solutions Architect - ISVs, AWS

Whether cloud-hosted or on-premise, more and more organizations are using Kubernetes to deploy their applications. AWS provides tools to make it easier for organizations to run and scale their containerized applications, including Amazon Elastic Kubernetes Service (EKS), a managed Kubernetes service, and EKS Blueprints, a collection of infrastructure-as-code modules that make it easy to bootstrap a Kubernetes cluster with any additional tools required for their environment. This includes Datadog, which makes it easier to manage and scale Kubernetes operations through its observability and monitoring capabilities.

In this session, AWS and Datadog experts show you how simple it is to set up Datadog using EKS Blueprints, as well as how Datadog’s platform helps you understand and monitor every aspect of your EKS environment.

Day 2 | Sponsored by Google

Enhance Your Google Cloud Run Observability with Datadog

Wednesday, October 19th, 12:00PM


Sagar Randive, Product Manager, Serverless Cloud Run, Google

Google Cloud Run is a fully-managed platform for deploying and scaling serverless containerized microservices on Google-managed infrastructure. Cloud Run accelerates productivity by letting teams focus on developing and deploying apps, without creating clusters. But, visibility into the health and performance of serverless applications can be challenging.

We are excited to partner with the Datadog team to bring Datadog’s leading observability solution to Google’s Cloud Run. In this session, we’ll look at how the purpose-built Datadog Agent provides Cloud Run users insights into their serverless apps viafull application tracing, custom metric support, enhanced metric capabilities, and logging ingestion Datadog.

Day 2 | Sponsored by Accenture

Accelerate Multi-Cloud Monitoring of Containers at Scale by Shifting Left

Wednesday, October 19th, 12:30PM


Bryan Locke, Infrastructure Tech Arch Senior Manager, Accenture

Jorge Cruz, Infrastructure Tech Arch Manager

When developing an application, monitoring can be a painful afterthought. Implementing monitoring on top of existing priorities requires significant effort and resources. For Accenture, this is especially challenging as we support more than 1,100 unique and distributed applications deployed across a multi-cloud landscape.

Join this session to learn how Accenture successfully sets a NoOps approach with Datadog monitoring enablement by embedding Datadog into the software development lifecycle. You’ll learn new patterns that work for applications running on containers and that can be applied to other cloud technologies (e.g., serverless functions).

Day 2 | Sponsored by Cortex

Still Using Spreadsheets to Track Your Services? You Need a Developer Portal

Wednesday, October 19th, 1:00PM


Ganesh Datta, Cofounder & CTO, Cortex

Developer portals like have become critical for businesses to run efficient engineering organizations—especially as the number of services and engineers those organizations manage scales. automatically catalogs all internal services and infrastructure along with their dependencies, ownership, and live data from third-party tools. It then enables engineering organizations to drive adoption of best practices, enforce service maturity standards, and run organization-wide migrations through actionable insights that are personalized for individual teams.

In this session, you will learn more about why companies adopt developer portals, how to maximize their impact, and how they can help your team reduce the organizational complexity that comes with running a service-oriented architecture.

Day 2 | Sponsored by Google

Closed-Loop Monitoring and Remediation of Issues Using Datadog, Eventarc, and Cloud Functions

Wednesday, October 19th, 1:30PM


Cody Hill, Lead Solutions Consultant, Google

Google Cloud’s Eventarc uses loosely coupled services that react to state changes in order to asynchronously route and deliver events between Google services, SaaS platforms, and your own apps. For example, you can use Eventarc and Datadog to build closed-loop monitoring and remediation for your systems, whether they are in the cloud or on-prem. In the session, we’ll walk through how to use a Datadog monitor set on vCPU utilization to create an event. We’ll use Eventarc to have that event call on Cloud Functions to initiate a scale-up procedure, automatically adding a node to our cluster and averting an infrastructure outage.

In this session, you will learn how you can integrate Eventarc and Datadog together to automatically remediate issues before they cause problems for your customers.

Day 2 | Sponsored by Sentry Software

Report (and Reduce!) IT Carbon Emissions with Datadog and Hardware Sentry

Wednesday, October 19th, 2:00PM


Bertrand Martin, CEO, Sentry Software

The race to net-zero emissions has started. But without the proper visibility into the energy usage of your infrastructure, you are at a standstill. Hardware Sentry fills this gap with its specialized OpenTelemetry Collector—now available through Datadog’s Marketplace—enables you to collect raw hardware metrics, including health data of hardware components, processors, disks, network, power consumption, temperatures, and more.

In this session, we will teach you how to get the most out of this new integration. We will walk through using the built-in dashboards and monitors to report the CO₂ emissions of your infrastructure, reduce its carbon footprint, and lower operating costs by safely optimizing the temperature of a server room.

Day 2 | Sponsored by JFrog

How JFrog and Datadog Help You Manage Software Risk

Wednesday, October 19th, 3:00PM


Sushrut Athavale, Software Engineer, Partner Engineering, JFrog

DevSecOps teams are challenged with delivering code that is secure and compliant, and to do so with speed at each stage of the software development lifecycle. In this session, we will look at how JFrog’s integration with Datadog provides DevOps and DevSecOps teams with actionable insights to achieve greater compliance, security, and software delivery performance. We’ll cover how the integration delivers a robust dashboard with visibility into logs, violations, usage metrics of artifacts and repositories, and system performance to answer questions like:

  • What is the most requested artifact?
  • What are the most popular repositories?
  • Who are your heaviest users?
  • For security, which users are doing bad things? From which IPs?

Join us to learn how to get the most out of the JFrog platform with Datadog.

Day 2 | Sponsored by Cloudflare

Build Your Next Application at the Edge

Wednesday, October 19th, 3:30PM


Kabir Sikand, Product Manager, Cloudflare

Ten years ago, the word serverless appeared. For developers, it meant the promise of no longer having to worry about backend infrastructure; they could focus on application logic.

Whether you’ve been using serverless technology since it’s launch or re only now in preliminary talks about how to use it, join me for a brief history of serverless and learn how you can build serverless applications on Cloudflare.

We’ll tackle common questions such as:

  • What are the advantages of serverless?
  • Who uses serverless functions?
  • What workloads are best for serverless technology?
  • Can you run serverless functions at the edge?

And if you’re asking yourself, “What even is serverless?” we’ll answer that as well.

Day 2 | Sponsored by AWS

Manage Your AWS Security Posture with Ease Using Datadog CSPM

Wednesday, October 19th, 4:30PM


Ray Zaman, Solutions Architect, AWS

David Marsh, Solutions Architect II, AWS

Many cloud security failures are caused by misconfigurations. This is heavily driven by the multitude of possible cloud configuration options, potential lean staffing, and the emphasis on agile development cultures that move quickly. AWS offers customers a variety of options to secure their workloads: IAM configurations to define who can modify and run cloud workloads; network configurations to set which resources a workload can communicate with; storage policies to control encryption—the list goes on. It’s important to make sure these configurations follow best security practices to maintain a strong security posture and shut the door on bad actors.

In this session, you will learn how Datadog Cloud Security Posture Management (CSPM) helps continuously maintain security and compliance best practices across your AWS assets. This helps teams easily mitigate risks while ensuring compliance with industry standards.

Day 2 | Sponsored by PagerDuty

Accelerating Incident Resolution with PagerDuty and Datadog through Automated Diagnostics

Wednesday, October 19th, 5:00PM


Bobby Dohil, Director, WW Technology Ecosystem, PagerDuty

Customers who use Datadog and PagerDuty for incident response see faster acknowledgment of incidents and a lot more responder focus on resolving issues. But did you know that advanced PagerDuty and Datadog customers can further drive down MTTR and get even more efficiency out of their incident response?

In this session we’ll dive deeper into how these two approaches work together, with a special focus on how to take advantage of Datadog monitors along with PagerDuty’s Automated Diagnostics for Public Cloud Environments and you will learn:

  • How first responders can use Datadog monitors and PagerDuty Automated Diagnostics to resolve problems in public cloud environments
  • How to use prebuilt diagnostics for Public Cloud Environment services available for PagerDuty