Datadog Champions

Carlos is passionate about observability and Datadog, and he focuses on helping engineering teams gain confidence to ship reliably and sleep better.

His interests cut across cloud computing, distributed systems, and high-performance computing (HPC), and he thrives where he can work on solving complex problems at scale. A lifelong learner, Carlos believes knowledge compounds when shared, so he invests time teaching what he builds.

Gabriel Castellani is an Observability Specialist at Elo, a Brazilian card network.

Early in his career, Gabriel focused on business-oriented monitoring and service health, helping ensure visibility into critical flows and customer impact. In recent years, he has expanded his work in observability to include APM, infrastructure monitoring, logs, and metrics, adopting a more holistic and scalable approach to observability.

Today, Gabriel focuses on Datadog governance across the organization, leading initiatives related to platform consumption, maturity, and cost efficiency while helping engineering teams use observability in a practical, scalable, and value-driven way.

He is particularly interested in using Datadog to drive business improvements through data correlation, automation, and workflows that improve incident response.

Gabriel also enjoys continuous learning, mentoring, and collaborating with others to build stronger observability practices.

Frederik is a Senior Manager at Denmark-based Salling Group, one of Northern Europe’s largest and most influential retail organizations.

Since Salling became a Datadog customer, Frederik has played a key role in shaping the company’s observability strategy. He was a primary contributor to Datadog’s Cloud Cost Management (CCM) design partnership program, collaborating closely with the product team and helping develop the first-ever CCM case study in Europe.

Beyond his work at Salling Group, Frederik has helped build a local Datadog community in Aarhus, hosting Datadog Days events that bring together neighboring organizations and engineering teams.

Most recently, Frederik led a successful proof-of-value initiative for Datadog LLM Observability, which helped Salling Group build a GenAI entry point for 60,000 employees.

A veteran of the Danish Army, Frederik brings the same discipline and dedication to his work in technology.

Rebecca is a Cybersecurity Engineer at AssessFirst, where she leads efforts in governance, SOC, Purple Team operations, and ISO 27001 compliance.

She’s particularly committed to cybersecurity governance and awareness, with a focus on making this complex topic more accessible through her Medium blog.

As a member of CESIN, Rebecca also enjoys sharing knowledge and promoting best practices within the French cybersecurity community.

Lutfi is a Cloud Engineer at Telkomsel, Indonesia’s largest telecommunications company, where he has spent nearly a decade working across cloud infrastructure, solutions architecture, and platform development.

Based in Jakarta, he holds certifications across Google Cloud (Professional Cloud Architect, Associate Cloud Engineer), Kubernetes (CKAD), HashiCorp Terraform, and AWS, reflecting his ongoing commitment to cloud-native technologies and modern platform engineering.

Jason is a SOC Manager at RapDev, where he leads the company’s Managed Security practice in investigations, threat intelligence, engineering, and threat hunting.

He also serves in the Army National Guard, leading a Cyber Protection Team Mission Element focused on threat hunting and investigation. Earlier in his career, Jason served on active duty in the Army before moving into government contracting.

Having worked across multiple environments and alongside some of the brightest minds in the cybersecurity business, Jason is always eager to keep learning. But more importantly, he is dedicated to finding the best cup of coffee wherever he goes, whether drip, espresso, or cold brew. A good cup goes a long way.

Himanshu is a Software Engineer at Expedia Group based in India, with over 12 years of experience building scalable, high-performance web applications. His work focuses on React, modern frontend ecosystems, reusable UI platforms, design systems, and performance engineering.

In recent years, Himanshu has expanded his focus to include observability and frontend monitoring, with particular interest in Real User Monitoring (RUM), Web Vitals, distributed tracing, and data-driven performance strategies using Datadog. He has worked extensively on improving availability and reliability through Datadog by monitoring component-level failures, rendering issues, API dependencies, and user interaction patterns. The aim of this work is to proactively detect production issues before they impact the customer experience.

Himanshu is especially interested in how frontend telemetry can connect user experience with system reliability, helping teams optimize performance, improve availability, and make smarter engineering decisions.

Elliot Graebert is an engineering leader at Skydio, where he has championed Datadog adoption since joining in 2023. Previously Head of Engineering at Palantir, Elliot was also instrumental in Datadog’s adoption there.

A self-described Datadog evangelist, Elliot actively engages with preview releases to provide direct product feedback. He is known for sharing how his team uses Datadog with peers across the industry, and he approaches the relationship with Datadog as a collaborative partnership focused on solving real operational challenges.

A former chemist and musician turned customer support champion and software engineer, Nick brings an unconventional perspective shaped by the analytical rigor of science, the creativity of music, and a deep empathy for the customer experience.

He enjoys teaching others, solving complex problems, and continuously improving the interface between customer service and software engineering. Nick believes the best tools are built by people who have experienced both sides of the support conversation.

Taehwan is an Engineer at LinqAlpha in Seoul, South Korea, with expertise in cloud infrastructure, observability, and operational automation. He approaches observability as a means to understand system behavior end to end, a perspective he has developed through years of hands-on production experience.

At his previous company T’Order, Taehwan served as the primary Datadog owner and technical lead, driving adoption across an engineering organization of over 100 engineers. He helped embed Datadog into daily operations, incident response, and system design practices across the company. That work later became the foundation for T’Order’s presentation at Datadog Summit Seoul 2025.

Taehwan has organized AWS Community Builder and AWSKRUG certification study groups for more than three years, helping more than 300 engineers earn technical certifications through sustained learning communities. He is also an active participant in Datadog KRUG and served as a keynote speaker at AWS Community Builder Day Korea.

Junhee is a Cloud Engineer, SRE, and FinOps engineer at TVING, a leading OTT streaming platform in South Korea.

Junhee focuses on observability, platform reliability, and cloud cost optimization, with an emphasis on building scalable and efficient systems that improve operational visibility and engineering productivity.

He is also an organizer of the FinOps Korea Meetup community, where he shares his experiences and insights around FinOps practices. Through the Datadog community, Junhee hopes to promote practical approaches to FinOps while learning from others who are passionate about modern cloud operations and reliability engineering.

Jaeyeon is a Datadog Specialist Engineer and leader of the Datadog TA team at Bespin Global.

After years of designing, building, and operating cloud environments, Jaeyeon began focusing on observability and modern cloud operations through Datadog. He was particularly drawn to the platform’s ability to unify infrastructure monitoring, APM, logs, security, and RUM.

Today, he helps customers test and adopt observability solutions across complex cloud environments. By analyzing complex architectures and operational challenges, Jaeyeon designs and implements observability strategies that improve performance and operational efficiency.

Jaeyeon remains focused on expanding practical observability adoption in the Korean market.

Taekeun is an SRE on the Platform Engineering team at CJ Olive Young in Seoul, South Korea. CJ Olive Young is a leading health and beauty retailer operating large-scale omnichannel retail platforms with highly variable traffic patterns.

His work focuses on service reliability, observability, incident response, and operational automation, with an emphasis on reliability engineering beyond traditional infrastructure operations.

At CJ Olive Young, Taekeun has helped build a company-wide observability culture powered by Datadog, where engineering, product, business, and operations teams use logs, metrics, traces, dashboards, and alerts in their daily work.

He is excited to share real-world experiences and lessons learned about scaling observability across organizations, while learning from others building observability practices in their own environments.

Andre is a co-founder of BW Soluções, a Datadog Premier Partner in Brazil. He has more than 15 years of experience in observability, SRE, AIOps, and IT operations transformation.

Andre specializes in helping organizations adopt modern observability strategies that improve performance, automation, operational efficiency, and business outcomes.

Andre also develops custom plugins and integrations that extend Datadog visibility across technologies and environments that lack native support, helping organizations eliminate critical monitoring gaps.

Andre is passionate about innovation, community participation, and using technology to solve real-world challenges. He shares knowledge by publishing technical content and by participating in projects focused on observability, AI, and modernizing operational practices.

Bruno is a Cloud Architect, content creator, and community-driven technologist who is passionate about helping engineers build better systems.

With over 17 years in IT and deep expertise in AWS and observability, he focuses on solving real-world challenges related to performance, reliability, and cost optimization.

Bruno shares knowledge through videos, talks, and hands-on demos that help the community apply observability in practice and make better architectural decisions.

Seiryu is a Platform Engineer (SRE) at ZOZO, focused on observability-driven reliability.

He works across AWS, Google Cloud, and container platforms such as Kubernetes, ECS, and Cloud Run, using Datadog for performance tuning, anomaly detection, and improving system reliability at scale.

Seiryu also shares practical insights on observability and SRE through blogs and open source contributions.

Hiroyuki is an AI Engineer and Technical Product Manager at IVRy, where he works on DataHub, an LLM-based call analysis pipeline that powers the company’s voice AI product and the analytics platform behind it. Previously, he worked as a software engineer at Microsoft and other companies.

Hiroyuki focuses on observability for AI systems. Production pipelines built around LLMs need more than the traditional metrics, logs, and traces. They also need visibility into prompt behavior, output quality degradation, cost, and latency.

Working with large volumes of call data every day, Hiroyuki is exploring how to operate and monitor LLM-powered systems reliably at scale.

Srinivasulu is a Multi-Cloud Solution Architect and Lead Platform Engineer with more than 20 years of IT experience.

He is also a Microsoft Certified Trainer, AWS User Group Leader, GDG Letterkenny Organizer, IBM Champion, and mentor for the GMI and Women Coding communities.

Vladyslav is a Senior DevOps Engineer at Siemens Energy and founder of Ratslav Cloud Tech, with a background spanning reliability engineering, observability, and automation-first cloud architectures.

Born in Slovyansk, Ukraine, Vladyslav’s interest in engineering began early, using a ZX Spectrum plugged into a TV and writing tiny games written in BASIC that he saved onto floppy disks.

He later spent nearly a decade managing IT infrastructure at Donetsk State University of Informatics and Artificial Intelligence, working across servers, networking, and production systems.

In 2012, Vladyslav joined Cloudbeds as one of the earliest developers and eventually became its first DevOps engineer, leading the transition from EC2 and Ansible to a fully containerized Kubernetes foundation with automated CI/CD pipelines.

Today, he focuses on using observability and automation to build resilient systems that are manageable at scale. He is particularly interested in applying AI and large language models to real-world engineering workflows.

Shawn is a Site Reliability Engineer at General Motors, where he led the migration from Dynatrace to Datadog at one of the world’s largest automakers.

A passionate Datadog evangelist, Shawn documents his product journey and shares technical insights on tolidano.com, making his experience accessible to practitioners at every level.

Shawn has enabled close collaboration between Datadog’s Incident Management team and the GM team to help develop bi-directional support capabilities shaped by real customer needs. He has also appeared in YouTube videos discussing his path into technology and actively supports others entering the field.

Indika is a Principal Engineer at Virtusa with over 20 years of experience and a strong focus on enhancing customer experiences through reliable systems. He is currently developing agentic AI solutions to support SRE teams for tier-1 customers.

His expertise includes AI-powered SRE, observability, AIOps, and large-scale mission-critical transformations. Indika is also a technical blogger, dedicated trainer, AWS Community Builder (Cloud Operations), and DevOps Institute Ambassador.

Yuki is a Principal Platform Engineer at Nulab, a Fukuoka-based SaaS company, where he leads the company’s platform engineering strategy.

In early 2025, Yuki led Nulab’s adoption of Datadog, replacing fragmented monitoring tools that had led to siloing among teams. Today, he focuses on expanding observability capabilities while keeping cognitive load low for product teams.

Yuki approaches software engineering much like a martial artist approaches training, distilling hard-won experience into reusable “kata” that teams can practice. That philosophy shapes his work across platform engineering, developer tooling, and AI adoption.

Outside of work, Yuki is a founding member of the Fukuoka chapter of the JDDUG (Japan Datadog User Group) and regularly shares observability insights through community events and his technical blog. A lifelong dog person and Shiba Inu owner, he admits his love of dogs may explain some of his enthusiasm for a certain observability platform.