by Datadog

2022 Observability Theater Presentations

Introducing the Datadog Observability Theater!

Observability Theater sessions will happen on both Day 1 and Day 2 of the event. These 20-minute how-to sessions are designed to give you and your team actionable insights that you can apply right away on a variety of topics from monitoring to security, APM, containers, AI Ops and cloud cost management. Get an in-depth look at Datadog products and hear how users like yourself are applying best practices in their day-to-day work.

Day 1
Day 2

Day 1 | Datadog Platform - all products

Your observability journey with Datadog

Tuesday, October 18th, 1:00PM - 1:30PM

Day 1 | DBM

How to troubleshoot databases without the skills of a DBA

Tuesday, October 18th, 1:30PM - 2:00PM

When a database fails, applications can break in unexpected ways and data can be lost. The cause of failures could lie in the underlying infrastructure, the database schema, or even the queries themselves. Without unified access to critical information about your databases and the queries they run, it can be difficult for disparate teams to efficiently collaborate and resolve the issue.

In this session, you will learn how Datadog Database Monitoring (DBM) enables DBAs, SREs, and application developers to identify performance issues at a glance and quickly improve database efficiency. We will demonstrate how DBM lets you find the root cause of any issue by providing deep visibility into wait events, active connections, query performance, and explain plans, allowing you to reduce database costs, increase efficiency and uptime, and streamline collaboration between all stakeholders.

Day 1 | Datadog incidents, Datadog Inventory SQL, Cloud Workload Security

Monitoring and reacting to emerging vulnerabilities

Tuesday, October 18th, 2:00PM - 2:30PM

Vulnerabilities are bad news, and bad news never comes at a good time. Over the last 10 years, we have seen the emergence of numerous high-profile vulnerabilities that have interrupted the operations of many companies. These vulnerabilities disrupt product development due to their high impact on company infrastructure and the threat they carry of a malicious actor using them to gain a foothold into organizations.

In this talk, you will learn how Datadog Security Labs monitors, qualifies, reacts to, and patches these “emerging vulnerabilities.” By using a combination of open source tooling, social media, and the Datadog platform, we will follow the lifecycle of an emerging vulnerability, and identify how to create a playbook for responding to these incidents while assuring your leadership and customers that you are monitoring and defending in an efficient manner.

Day 1 | Watchdog AI

Extending your team's capabilities with Watchdog AI

Tuesday, October 18th, 2:30PM - 3:00PM

AI has been used as a catchall phrase for everything ‘smart’ in observability. At Datadog, our purpose-built AI engine Watchdog serves one goal: extend the team’s abilities to detect issues proactively, discover root causes quickly, and resolve incidents fast and with confidence. Join this session to see how Watchdog Alerts, Insights, and Analysis can help you in your day-to-day.

Day 1 | Datadog Continuous Profiler and Live Instrumentation

How to optimize production code and instrument missing telemetry to resolve issues faster

Tuesday, October 18th, 3:00PM - 3:30PM

Code profiling allows you to measure code performance by surfacing the most time- and resource-consuming lines of code. However, code profilers are often viewed as complex tools that are used only by experienced engineers and limited to non-production environments. Worse still, when profiling bottlenecks are discovered and addressed, developers are often missing critical observability context (like logs and traces) to better understand overall performance impact within systems.

In this session, you will learn how you can address these challenges with Datadog Continuous Profiler and Live Instrumentation, which provide low overhead, always-on code profiling on every production host and a simple way to instrument additional metrics, traces, and logs on-demand from the Datadog UI. You will leave this session understanding how these two products fit into your observability journey with Datadog, allowing anyone on your team to troubleshoot and resolve bottlenecks quickly, reduce CPU and memory consumption, and lower cloud costs.

Day 1 | Service Catalog

Simplify service governance, observability, and troubleshooting with the Service Catalog

Tuesday, October 18th, 3:30PM - 4:00PM

Microservices let you simplify code deployments, improve application reliability, and give teams autonomy to work independently. But adopting a microservices architecture at scale can bring increased operational complexity that leads to gaps in your team members’ knowledge about how your services work, what dependencies they have, and which teams own them.

In this session, you will learn how the Datadog Service Catalog helps consolidate dispersed knowledge of organization’s services and streamline communication between SREs, application developers, and service owners. We will walk through how the Service Catalog not only provides a multi-lens view of ownership, performance, and reliability across your entire fleet of microservices, but also helps triage incidents more effectively and promote observability best practices between all teams.

Day 1 | Integrations

Datadog integrations: Monitoring data analytics platform for SREs and data engineers

Tuesday, October 18th, 4:00PM - 4:30PM

A modern data analytics stack is made up of a suite of tools for gathering, storing, transforming, and analyzing data from disparate sources. Each of these layers plays a key role in your organization’s goals of getting better insights from vast amounts of data and of proactively uncovering new opportunities for growth. But these layers are often managed by different teams, and a problem that occurs in one layer can propagate into other areas of the stack.

In this session you will learn about two of the most common use cases for building a data analytics platform, along with what teams are involved in building it and what different technologies are needed to create a functioning system. We will also look at the challenges that engineers face when it comes to running a data analytics stack and how Datadog can help SREs and data engineers get a centralized view into every layer and technology of their distributed data analytics system for faster troubleshooting and performance optimization.

Day 1 | SLOs

Five things we learned from our SLO journey at Datadog

Tuesday, October 18th, 4:30PM - 5:00PM

At Datadog, our engineering teams are focused on building highly reliable systems that meet the everyday observability needs of our customers. Service Level Objectives (SLOs) have been instrumental in helping us balance between maintaining platform stability and being able to improve our product offering.

When we are meeting our SLOs, we’re free to experiment with new code versions, features, and user experiences. But when services regularly exceed their error budgets, we’re more vigilant of introducing additional risk. We instead prioritize reliability work, such as addressing incident remediation items and optimizing our infrastructure and processes for scalability and resilience.

In this session, you’ll learn some SLO best practices for identifying customer-facing issues in your production environment. You’ll see how you can implement processes for iterating on SLO definitions and why you should incorporate burn rate alerts into your alerting and incident response strategy. See real-world examples of SLOs that have been created for Datadog’s most popular products and how to implement them within your organization.

Day 1 | Online Archives, Sensitive Data Scanner, Audit Trail, RBAC

Rethink your enterprise governance and compliance strategy

Tuesday, October 18th, 5:00PM - 5:30PM

In large organizations, there is often a central observability team that is responsible for providing observability services to application teams. Managing log data in this environment can be a complex challenge thanks to data governance requirements and the dynamic nature of developer needs.

In this session, you will see how the observability team at Citizens Bank uses Datadog Log Management to provide autonomy and tooling to their developers that fulfills their individual requirements while also adhering to organizational governance requirements. You will learn best practices for maintaining continuous and robust observability across your systems even as you set up enterprise governance policies.

By the end of the session, you will be able to use the capabilities of Datadog Log Management to take tangible actions for ensuring full data governance at scale.

Day 1 | OpenTelemetry with Datadog for APM and Infra Monitoring

OpenTelemetry with Datadog: Monitor the Three Pillars of Observability

Tuesday, October 18th, 5:30PM - 6:00PM

OpenTelemetry (OTel) is a Cloud Native Computing Foundation (CNCF) initiative that provides open, vendor-neutral standards and tools for instrumenting services and applications. Many organizations use OpenTelemetry’s collection of APIs, SDKs, and tools to collect and export observability data from their environment to their preferred backend.

As part of Datadog’s ongoing commitment to OpenTelemetry (OTel), we offer multiple solutions to ensure that OpenTelemetry users have the flexibility to easily send their metrics, traces, and logs to Datadog.

In this session, we will walk through a live product demo that will show how you can use OTel and Datadog to get full visibility into your infrastructure and applications. We will also explore different data ingestion paths you can use to derive maximum value out of your OTel usage with Datadog.

Day 2 | Log Management

Get more from your logs with advanced queries and augmented insights

Wednesday, October 19th, 8:30AM - 9:00AM

When you’re investigating the root cause of an incident, querying large volumes of logs to get the insights you need can be extremely challenging, especially when the issue is time sensitive and critical to the business. SREs, developers, and security detection engineers (SDEs) all need an easy way to investigate log events.

In this session, see how a real-world customer easily drills down into their analytics data with only a few clicks. Moreover, you will learn how Datadog automatically surfaces patterns that can help you find explanations for log anomalies. Do this all within Datadog Log Management to prevent potential threats and reduce incidents.

By the end of this session, you will have the tools you need to get started expertly querying and gaining insights within Log Explorer.

Day 2 | Datadog Cloud Workload Security

How to detect threats in your network before they hit your mission critical assets

Wednesday, October 19th, 9:00AM - 9:30AM

Cryptomining is one of the biggest threats facing production workloads right now, and attackers are getting better at hiding these malicious processes from plain view. Protect the infrastructure you own with Datadog Cloud Workload Security.

Learn how you can use CWS and the rest of the Datadog ecosystem to seamlessly detect, investigate, and remediate attacks to your production infrastructure. We will show you how CWS leverages eBPF to detect these attacks in your production workloads. And we’ll look at all the tools Datadog puts at your disposal to protect your hosts and containers.

Day 2 | APM, RUM

Automagic correlations: faster remediation with unified end-to-end visibility into user requests

Wednesday, October 19th, 9:30AM - 10:00AM

In addition to building modern applications with a multi-tier, service-oriented architecture, software engineers are releasing code faster than ever. That pace of innovation comes with an increased risk of introducing performance regressions, and problems that affect end users can occur at any level in the technology stack. To catch such problems before they cascade and become critical, frontend and backend teams need a single source of truth so they are not blindsided in pivotal moments and can avoid context switching and redundant manual work.

In this session, frontend and backend developers will learn how to achieve end-to-end visibility into the user experience and application performance using Datadog Real User Monitoring (RUM) and Application Performance Monitoring (APM). Learn how frontend and backend teams can have a shared view to quickly understand where a problem has originated and who is responsible for fixing the issue.

You will leave this session with a better understanding of how to monitor and troubleshoot your entire technology stack in a single view to quickly detect, triage, and resolve customer-facing problems.

Day 2 | CSPM

Secure what you monitor: How Devops can reduce risk in the age of Cloud

Wednesday, October 19th, 11:30AM - 12:00PM

Ninety-nine percent of cloud security failures could be traced by misconfigurations. This is heavily driven by the complexity of cloud configuration options and the agile culture of rapid deployments. There are many layers of configuration options that could create exposure: IAM configurations define who can modify and run cloud workloads; network configurations define which resources a workload can communicate with; storage policies control the encryption—the list goes on. This complexity increases the likelihood of mistakes, which weakens security posture and can open doors for bad actors.

In this session, you will learn how Datadog Cloud Security Posture Management helps continuously surface security weaknesses resulting from misconfigurations across all cloud assets, including cloud accounts and containers. This helps teams easily mitigate risks while ensuring compliance with industry standards.

Day 2 | NPM, NDM

How to build end-to-end visibility into the cloud and on-prem networks

Wednesday, October 19th, 12:00PM - 12:30PM

Day 2 | Container Monitoring

Trends from Over 1.5 Billion Containers in the 2022 Container Report

Wednesday, October 19th, 12:30PM - 1:00PM

Containers enable organizations to accelerate delivery cycles and rapidly scale their operations to meet the demands of today’s fast-paced market. More and more organizations are migrating their workloads to containers, and the container ecosystem is expanding and evolving to accommodate these increasingly dynamic environments.

Join us to learn more about how container usage has risen and led to the evolution of adjacent concerns such as container security, development agility, scalability, and more. We’ll explore how organizations’ usage of containers is exploding in production and all of the side effects that shift inevitably brings.

Hear insights and trends that we have gathered from the latest real-world usage data of over 1.5 billion containers, run by tens of thousands of Datadog customers, to understand how they are scaling and supporting their container environments.

Day 2 | Dashboards

Share observability knowledge across your organization with Dashboards

Wednesday, October 19th, 1:00PM - 1:30PM

As your organization scales and your systems evolve, maintaining observability best practices can become a challenge. Without legible dashboards and consistent runbooks, teams can waste time finding the right data during precious minutes on-call. And while certain administrative users or experts may have the knowledge to get an organization up and running, they can easily become the bottleneck as a team grows.

Datadog is equipped to help large and growing organizations scale up their monitoring as fast as they scale up their organization. In this theater session, we will demonstrate how platform administration and subject-matter experts can leverage Datadog’s observability platform to manage observability knowledge for thousands of users with minimal effort.

Day 2 | Cloud Cost Management

How to simplify monitoring and management of your cloud costs

Wednesday, October 19th, 1:30PM - 2:30PM

From diagnosis to resolution: How Datadog collaboration tools enable faster incident response

Ever-growing IT complexity threatens the ability to successfully detect and correct issues that negatively impact SLOs, customer experience, and the bottom line. Dev, and Ops teams need to continuously detect critical incidents, and understand the potential impact so they can prioritize and remediate. The faster each step can be completed, the smaller the potential impact of an incident will be. Siloed teams and tools, however, prevent people involved from creating a shared understanding of the problem quickly enough, resulting in longer resolution time.

In this session, you will learn how you can apply Datadog’s collaboration-centric approach to help your teams accelerate problem detection and incident resolution. We will show you how to use Inbox, Datadog’s new AIOps-powered Event Management solution, combined with our fully integrated Incident Management solution and real-time, multi-user screen sharing tool, CoScreen. Together, they provide the collaborative experience and shared context your teams need to effectively engage, act, and remediate critical issues fast.

Day 2 | CoScreen, Inbox, ITSM

From diagnosis to resolution: How Datadog collaboration tools enable faster incident response

Wednesday, October 19th, 2:00PM - 2:30PM

Ever-growing IT complexity means that vulnerabilities are an increasing threat. Dev, Ops, and Security teams need to continuously detect vulnerable services and understand the potential impact so they can prioritize and remediate. The faster each step can be completed, the smaller the potential impact of an attack will be. Siloed teams and tools, however, prevent people involved from creating a shared understanding of the problem quickly enough, resulting in longer resolution time.

In this session, you will learn how you can apply Datadog’s collaboration-centric approach to help your teams accelerate problem detection and incident resolution. We will show you how to use Inbox, Datadog’s new AIOps-powered Event Management solution, combined with our fully integrated Incident Management solution and real-time, multi-user screen sharing tool, CoScreen. Together, they provide the collaborative experience and shared context your teams need to effectively engage, act, and remediate critical issues fast.

Day 2 | Workflow Automation

Workflow automation, made easy

Wednesday, October 19th, 2:30PM - 3:00PM

Many teams and organizations still rely heavily on manual workflows with significant human involvement, making repeatable tasks time-consuming and error-prone. Workflow automation provides a streamlined, cost-efficient approach for dev, ops, support, and business teams to complete their work faster and more easily.

But there are several big challenges for companies adopting effective workflow automation, including the plethora of tools required to customize workflows to fit their needs, the complexity that comes with setting up and configuring these tools, and the lack of integration that prevents important context from being shared.

In this session, you will learn how you can use Datadog to easily orchestrate and automate any manual process, regardless of use case or complexity. Using an incident response use case, we will illustrate how you can use simple building blocks to create effective automated workflows that enable your response teams to save time, reduce overhead, and accelerate incident response and resolution.

Day 2 | Synthetic Monitoring

Ship every release confidently with continuous testing and synthetic monitoring in your pipeline

Wednesday, October 19th, 3:00PM - 3:30PM

With the sheer amount of information that is presented to people on a daily basis, your application needs to capture their attention immediately. An underwhelming or broken digital experience only makes that harder. That’s why it’s critical to create software that delivers the best possible experience for your fragmented web and mobile audiences no matter where they are in the world and what device they are using.

See how you can use Datadog Synthetic Monitoring to proactively and automatically simulate key business workflows and user journeys on your applications, regardless of the device type. Datadog lets you test at every stage of your development cycle, from your backend right through to your frontend.

In this session, you will learn how to use Synthetic Monitoring to perform robust testing of your API endpoints to help you keep a finger on the pulse of your application uptime. We will demonstrate how you can set up our self-healing browser tests with ease. You will also see how these tests integrate seamlessly with CI/CD pipelines and Datadog APM to help you ensure a flawless end-user experience by catching issues earlier in the development cycle, reducing MTTR.

Day 2 | CI Visibility

Accelerate pre-production velocity using CI Visibility

Wednesday, October 18th, 3:30PM - 4:30PM

Modern agile development methods and advances in CI/CD automation have enabled organizations to build and ship releases faster and regularly deliver new value to customers. CI/CD tools help teams automate their development, deployment, and testing of new releases. But preventing development outages due to slow builds or faulty tests requires granular visibility into the performance of pre-production environments.

In this session, you will learn how to use Datadog CI Visibility to attain comprehensive visibility into all of your pipelines, stages, and jobs to easily locate where slowdowns or failures might be occurring. You can also monitor your tests to surface flaky ones and visualize performance over time to spot regressions. We will demonstrate how you can fill the pre-production observability gap to ensure smooth, reliable builds and catch issues before they reach customers.

Day 2 | Serverless

Monitor your serverless workloads across any cloud

Wednesday, October 19th, 4:00PM - 4:30PM

Since 2014, AWS Lambda has helped catalyze the serverless movement by enabling teams to deploy and run code while eliminating the need to provision and manage underlying infrastructure. The current serverless ecosystem has grown more mature and supports a diverse array of serverless technologies and workloads allowing users to build secure, reliable, and highly performant applications.

In this session, you will learn how, for organizations operating in the cloud, serverless compute has become an essential part of their technology stacks. We’ll look at the various serverless offerings available within AWS, Azure, and Google Cloud, and how you can use Datadog Serverless Monitoring to achieve end-to-end visibility into the health and performance of your serverless applications.

Day 2 | Log Management, Log Forwarding

Building a modern log processing strategy at enterprise scale

Wednesday, October 19th, 4:30PM - 5:00PM

Many large enterprises with multiple teams rely on various log management tools for different uses related to observability, security, and compliance. These can be cumbersome to manage, and teams often need a centralized solution to process and transform their data and route it correctly to communicate between systems.

In this session, we will walk you through how one of our customers is using Datadog Log Management as a central, managed solution for processing, enriching, and forwarding logs. You will learn how to set up scalable and powerful pipelines, processors, and remappers using out-of-the-box rules and easy-to-use interface. Understand how to automatically protect sensitive data before sending to other destinations via machine learning capabilities and use Log Forwarding to select logs and send them to custom destinations including storage archives and third-party platforms.

By the end of the session, you will be able to better manage your log processing at scale through these simple steps within the Datadog platform.

Day 2 | Application Security Monitoring

How to stay ahead of attackers with Datadog Application Security Monitoring

Wednesday, October 19th, 5:00PM - 5:30PM

With the increased requirement for agility, developers push thousands of lines of code and spin up new ephemeral cloud instances every day. This speed coupled with the highly complex nature of modern day software architecture (i.e. distributed systems, greater scale, reliance on open source, etc) leads to blind spots which allow attackers the time to carry out large-scale attacks. On top of this, adding separate security tools to your environment slows down investigation and collaboration for security incidents, thus, adding even more time for attackers.

In this session, we will demonstrate how Datadog leverages its powerful observability platform to provide deep visibility and high-fidelity security insights with Application Security Monitoring (ASM). We will also touch on new, exciting features which will illustrate how security observability makes it possible to address the entire lifecycle of a security incident, all from a single platform.

By the end of this session, you will understand how to quickly get up and running in 1-click with ASM and how the product drastically speeds up the assessment of at-risk applications.

Day 2 | RUM, Session Replay

How to monitor and improve end user experience in real time

Wednesday, October 19th, 5:30PM - 6:00PM

Amazing digital experiences can help brands delight their customers and help differentiate from competitors—and ultimately generate more sales. But to deliver these experiences, brands need to gain insights from every user interaction, which is a serious challenge for teams that use legacy, tag-based analytics tools.

In this session, we will look at how Datadog Real User Monitoring (RUM) and Session Replay provide an end-to-end view of your frontend browser and mobile applications. You will learn how RUM and Session Replay give you a real-time perspective of your users, so that you can proactively troubleshoot, review, analyze, and improve user experiences at scale. Together, these solutions minimize your blindspots across user journeys so that you can deliver perfect digital experiences.