Name: Control log volumes and costs while boosting visibility
Start: 2025-03-28T13:58:00Z
End: 2025-03-28T13:58:56.000Z
Location: BrightTALK
Rating: 0

Datadog is an observability and security platform that unifies metrics, traces, logs, and security signals for centralized visibility on dynamic environments. By bringing together data from every tool in a company’s stack, Datadog enables customers to easily monitor the health and performance of their cloud infrastructure and applications at scale. Datadog also offers 700+ fully-supported integrations and preset service dashboards to provide immediate time to value. No matter the industry, scale, or use case, Datadog’s solutions help teams consolidate tool sprawl, break down silos, reduce operational costs, and remain agile in the market. 

To better understand the vulnerabilities and threats facing modern DevOps organizations, Datadog analyzed security posture data from a sample of thousands of organizations that use AWS, Azure, or Google Cloud. In this roundtable discussion, security experts from Datadog were joined by Chris Farris, Cloud Security Evangelist and AWS Security Hero at PrimeHarbor Technologies, and Michael St.Onge, Head of Technical Services at Tamnoon.

State of Cloud Security Livestream

In this joint webinar with AWS and Datadog, we’ll demonstrate how to architect and monitor cloud migrations with frameworks from AWS, diagrams, and reports from Cloudcraft as well as monitoring and documentation with Datadog.

With a real-world migration example, we’ll show how all of these tools work together to support principles from both the AWS Cloud Adoption Framework and the Well-Architected Framework.

We’ll give you concrete examples of how to:

Compare and contrast before and after architecture diagrams using Cloudcraft
Implement AWS recommendations during migration
Managing and optimize cloud costs

Architecting your Cloud Migration: Focus on Monitoring Security and Cost management with AWS and Datadog

Discover how AWS-native tools, combined with Datadog’s observability platform, can streamline deployments, reduce the risks of modernization, and ultimately enable engineering teams to unlock the full potential of cloud-based productivity.

Using Observability to Support Your AWS Modernization Journey

To understand the security posture of applications and adoption of DevOps practices that enhance security in 2024, Datadog evaluated real-world data from tens of thousands of organizations in the inaugural State of DevSecOps Report. 

Join security experts from Datadog alongside Jay Beale, CTO at InGuardians and Jeff McJunkin, Founder of Rogue Valley Information Security, as they share insights into the report findings.

State of DevSecOps Livestream

In the 2023 Container Report, we examined more than 2.4 billion containers run by tens of thousands of Datadog customers to understand how they are scaling and supporting their containerized environments.

Join Datadog and Solomon Hykes from Docker and Dagger.io as they share insights on:
• Trends in adoption for technologies such as serverless containers and GPU-based compute on containers
• How organizations are managing container costs and resources through ARM-based compute and horizontal pod autoscaling
• Popular workload categories and languages for containers

Container Usage Report Livestream

To understand the state of cloud costs in 2024, Datadog evaluated real-world AWS cloud cost data from hundreds of organizations. The State of Cloud Costs report provides data-driven insights on how emerging and legacy technologies, patterns of cloud resource usage, and participation in discount programs contribute to cloud costs.

Join experts from Datadog alongside Dan Gaj, Senior Architect, Cloud Infrastructure & Financials at Cvent, as they share insights into the report findings such as:
• Opportunities for cost optimization in containerized environments
• Impact of discount programs on costs including Savings Plans and Reserved Instances
• Adoption of new technologies like Arm-based processors and GPUs that enable AI capabilities"

State of Cloud Costs Livestream

See how you can use the Datadog platform to scale DevOps across your organization. In this session, you'll learn how to:

• Scale out organizational awareness using Service Catalog and Datadog Teams 
• Simplify governance for effective collaboration by building out the right levels of access and roles
• Customize permissions and clone apps with a click to streamline your workflows
• Empower developers to self-serve internally, easing the burden from central SRE teams

Elevate DevOps with Full-Scale Observability

Organizations across industries are racing to adopt Large Language Models (LLMs) to enhance intelligent assistants, AIOps, natural language query interfaces, and much more. But running LLMs in production and at an enterprise scale comes with unique challenges.

For organizational leaders and enterprise executives driving digital transformation on AWS, this exclusive Fireside Chat with Sajid Mehmood and Sherry Marcus offers a unique opportunity to gain strategic insights on AI observability, innovation, and team leadership.

Join us as we explore cutting-edge topics such as building and monitoring AI-driven applications, processing large-scale workloads using Amazon Bedrock, coding faster with generative AI using Amazon Q Developer, and Datadog, and leading AI & ML Engineering teams through the ever-evolving AI landscape.

What You’ll Learn:

- Discover the most exciting AI, Machine Learning (ML), and Large Language Model (LLM) capabilities on AWS in 2024
- Learn how organizations are leveraging AWS services like Amazon Bedrock, Amazon Q Developer, and Datadog LLM Observability to ship innovative AI products, accelerate go-to-market strategies, and maintain application observability across diverse environments.
- Hear from AWS and Datadog executives about the top customer applications, industries, and use cases driving the future of AI
- Gain insights on how AI/ML Engineering and DevSecOps leaders can help upskill and train teams to adapt and thrive in this rapidly evolving space

AWS AI Observability Summit

Join Datadog and AWS for a webinar on LLM observability with a focus on monitoring Amazon Bedrock. You’ll learn how to get the most out of your large language mod els, as well as Datadog’s intuitive platform.

We’ll discuss generative AI application observability product topics including:

-Hallucinations and other common pitfalls
-Agentic workflows and end-to end observability
-Troubleshooting issues and ensuring response quality

In this session, you’ll learn about generative AI deployment on Amazon Bedrock as well how Datadog LLM Observability monitors and improves the performance and quality!

LLMs on Amazon Bedrock: Monitoring Chat, Agentic Applications and More

웨비나 내용:
진에어의 사례를 바탕으로 아래 내용을 데모와 함께 알아봅니다.


• 신세틱(Synthetic) 모니터링과 실제 사용자 모니터링(RUM)을 활용해 실시간으로 사용자 경험을 최적화하는 방법
• 엔드투엔드 분산 추적, 다양한 유형의 텔레메트리 간의 매끄러운 상호작용, ML 기반 인사이트 및 근본 원인 분석으로 신속히 트러블슈팅하는 방법
• 가동 시간, SLO, 코어 웹 바이탈, 전환율과 이탈률 등 사용자 여정을 손쉽게 분석하고 다른 팀과 원활히 협업하는 법

진에어와 함께하는 UX/프론트엔드 모니터링

クラウドの利用が高度化しサーバーレスやコンテナの利用でトラフィックの急な拡大にも対応が容易になりました。その一方で、悪意あるアクセスや攻撃も増えています。

そういった複雑化するクラウド環境を可視化し、オブザーバビリティを実現できるSaaSがDatadogです。そして、Datadogはセキュリティ脅威のリアルタイムな検知と対処にも効果を発揮します。

本ウェビナーでは、クラウド環境全体を可視化する方法、セキュリティ脅威をリアルタイムに検知して対処する方法、開発・運用チームとセキュリティチームが連携してより早い段階からセキュリティを強化する方法などを事例とデモを交えてご紹介いたします。

クラウド環境の可視化とセキュリティを両立する方法

애플리케이션과 인프라 전반에 대한 Observability와 보안 위협의 감지 및 대응까지 한 번에 통합 관리하는 방법을 알아봅니다! 모든 팀이 한곳에서 쉽고 빠르게 가시성을 얻고 보안 위협을 감지함으로써 보다 편리하고 안정적으로 서비스를 운영할 수 있는 방법에 대해 알아볼 수 있습니다. 
학습 내용:
• 애플리케이션 보안 위협 실시간 탐지 및 대응 방안
• 멀티 클라우드 및 컨테이너 환경의 컴플라이언스 준수 확인 방안
• 다양한 보안 로그의 중앙집중식 관리 방안
• 보안 위협 시 자동화 대응 방안

생방송 진행 중 현장 상황으로 인해 원활히 보여드리지 못한 데모 부분은 현재 정상적으로 작동하고 있습니다. 지금 바로 https://survey.datadoghq.net/  여기에서 데모로 서비스도 직접 공격해보고, MSA 환경에서 Datadog을 통해 보안을 강화하는 방법을 직관적으로 알아보세요!

마이크로서비스 아키텍처(MSA) 보안 Best Practice

Developers are building modern applications with a multi-tier, service-oriented architecture and releasing code faster than ever. However, this pace of innovation also comes with an increased risk of vulnerabilities getting shipped to production. To better understand the current vulnerabilities and threats facing modern DevOps organizations, Datadog evaluated real-world data from thousands of customers.

Join Datadog and Avi Douglen, CEO of Bounce Security & Vice-Chair of OWASP, as they share insights on:
• Which vulnerabilities really matter
• Which threats actually present a risk to your organization (but also which threats don't)
• What characteristics of your applications and APIs have an impact on their risk

Application Security Report Livestream

In this special CUBE presentation of the Google Cloud Marketplace Marvels Series, John Furrier, executive analyst at theCUBE Research, welcomes Steven Orban, VP of migrations, ISVs and marketplace at Google Cloud, and Yrieix Garnier, VP of products at Datadog.

Find out more about SiliconANGLE and theCUBE’s coverage of the latest tech events and news https://siliconangle.com/events/

They discuss the rapid growth of the Google Cloud Marketplace, driven by software companies such as Datadog, which provide comprehensive observability solutions. Garnier highlights Datadog’s deep integration with Google Cloud services, aiding in seamless cloud migrations and breaking down team silos. 

Check out Datadog on the Google Cloud Marketplace: https://console.cloud.google.com/marketplace/product/datadog-public/datadog?pli=1

The discussion emphasizes the importance of interoperability, reliability and effective integration of new cloud services, with successful case studies showcasing the strategic partnership between Google Cloud and Datadog in enhancing system performance and customer satisfaction.

Read more: https://siliconangle.com/2024/08/07/datadogs-software-integrations-quick-expansion-google-cloud-marketplace-marketplacemarvels/

Datadog and Google | Google Cloud Marketplace Marvels Series

Datadog Digital Experience Monitoring (DEM) allows you to gain full observability into frontend errors and performance issues on web and mobile applications, while providing relevant troubleshooting context for quick remediation and analytics to enhance the user experience. 

In this webinar, you'll learn how to:
• Optimize user experience by monitoring your applications proactively and in real-time with Synthetic Monitoring and Real User Monitoring (RUM) 
• Troubleshoot issues faster with end-to-end distributed tracing, seamless correlations between all types of telemetry, and machine learning-based insights and root-cause analysis
• Easily analyze and share insights such as uptime, SLO, Core Web Vitals, and conversion and drop-off rates with other teams

Enhance User Experience and Frontend Performance

Serverless technologies have transformed how businesses approach application development, and have become an integral part of organizations’ tool set. In the 2023 State of Serverless report, we analyzed telemetry data of our customers’ serverless workloads to uncover insights and trends in the serverless landscape. 

Learn from experts from the serverless community and members of the Datadog product team as they share insights on:
• The steady growth and adoption of serverless technologies across clouds and emerging platforms
• The benefits of migrating to serverless and container-based serverless workloads
• Best practices to deliver performant, secure, and cost-effective applications

State of Serverless Report Livestream

Get a deep dive and demo of Datadog APM. Chris Gatt, Lead SRE at Service Victoria joins to share how he utilizes Datadog Application Performance Monitoring to optimize performance across engineering teams.

Troubleshoot, Optimize, and Secure Applications Faster ft. Chris Gatt - Lead SRE, Service Victoria

As log volumes increase and observability architectures grow more complex, relying on fragmented legacy solutions makes agility, cost control, and predictability nearly impossible. Without a modern approach, teams struggle to adapt to evolving observability needs while staying within budget.

Watch this webinar to hear Datadog Engineers discuss how to to boost logging efficiency, scalability, and visibility - while maximizing resources. Discover how to:
• Control log volumes and costs through proactive processing and intelligent routing
• Optimize log retention and maximize storage for all logging use cases
• Reduce migration risks while transitioning to modern observability and security tools

Control log volumes and costs while boosting visibility

Log Management

Metrics

Data Analytics

Cloud Computing

Monitoring

Observability

DevOps

Infrastructure Management

Dashboards

Security

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Control log volumes and costs while boosting visibility

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