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Nick Heudecker

Contributing Writer

Nick Heudecker

Nick Heudecker is the Senior Director of Market Strategy & Competitive Intelligence at Cribl. Prior to joining Cribl, he spent over seven years as an industry analyst at Gartner, covering the data and analytics market. With over 20 years of experience, he has led engineering and product teams across multiple successful startups in the media and advertising industries.

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Latest from Nick

Blogs

Four Trends Defining the Observability Market in 2023

Observability is a market that has grown exponentially over the past few years. It started as a buzzword in late 2015 and early 2016, and since then we’ve seen dozens of insurgent companies rush in, eager to stake their claim in a new (albeit loosely defined) market. Incumbent companies also rebranded their wares, hoping to […]

May 15, 2023 · 3 min

All articles by Nick Heudecker

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Application Performance Management/Monitoring

Deciphering the Observability Market

Observability has become one of the most overused buzzwords in IT and cybersecurity. Today, the term is used by vendors to refer to everything from application performance to network monitoring, cybersecurity and data and analytics. While the term’s ubiquity has created confusion for everyone from end users to journalists, startups in the space have also […]

3 min
Application Performance Management/Monitoring

How to Build an Options-Based Observability Strategy

The global pandemic forced companies to accelerate their digital transformations, pushing them toward new technologies and architectures as they struggled to adapt to a changing world. Companies wanted fast development and deployment and were happy to trade off efficiency, reliability and sometimes, security, to pursue their goals. Now that the pandemic is receding in many […]

3 min
Application Performance Management/Monitoring

Fixing Risk Sharing With Observability

Incentives are mismatched among SREs, SecOps, and application developers. These mismatches create challenges around how and what information is shared across siloed teams. This asymmetrical information creates a moral hazard where one team can shift deployment risk to another team, with no accountability back to the originating team. Risk shifting results in unstable applications, inefficient […]

3 min
Blogs

Open Source Vs. Proprietary DataOps

Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work revolves around creating data pipelines. DataOps pipelines offer the kind of observability that traditional data integration and ETL processes don’t or can’t. They […]

3 min
Nick Heudecker | DevOps.com | DevOps.com