GroundWork releases GroundWork BoxSpy, designed specifically to monitor Docker and other Linux container environments.
GroundWork BoxSpy is the most resource-efficient, comprehensive monitoring system available for today’s container technologies.
“Docker and containers represent a newer, often better way for developers, lines of business and organizations to develop and package applications, but for enterprise IT teams there are still significant gaps in terms of security and other concerns compared to traditional VMs,” says Jay Lyman, Research Manager for 451 Research. “One of the areas that is lacking for Docker and containers is monitoring, where BoxSpy can help provide the capabilities required for enterprise deployment.”
Benefits of monitoring Docker containers with GroundWork BoxSpy:
- Works ‘out-of-the-box’ with GroundWork, but also has a REST API that makes it compatible with other monitoring technologies
- Lives in a container and is capable of monitoring other containers running on the same system
- Designed for both DevOps and production environments
- Adds full-featured enterprise monitoring to Docker environments with the ability to correlate Docker performance with the rest of the IT environment
- Designed for dynamic environments — automatically monitors new Docker containers as you spin them up
“Dynamic environments, like those based on Linux containers, tend to break IT monitoring or at best render them cumbersome and complicated. You can’t be very dynamic if your management tools can’t keep up with the speed of change,” said David Dennis, VP of Marketing and Products for GroundWork. “Also, running Linux containers in production requires the ability to see container performance data next to performance data from the rest of the infrastructure – the compute, network and storage components. If you can’t do that, you can’t optimize your application scale out. We’re happy to have worked with Docker personnel to make BoxSpy solve both problems.”
BoxSpy is based on Google’s cAdvisor container monitoring technology and improves it by:
- Dramatically reducing the resource demand and performance impact
- API clean-up and bug-fixing
- Removing unnecessary overhead that isn’t needed when talking to an external monitoring system
- Normalizing metrics to make them more human readable and standardized
- Adding threshold setting
- Adding process monitoring
The Latest
Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...