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
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
