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Boundary Introduces Real-Time Monitoring for Big Data Applications

Boundary, a provider of monitoring solutions for big data applications, announced the general availability of the Boundary Platform, a SaaS solution that enables organizations to deliver continuous quality of service and enhance their operational agility.

Boundary addresses two critical challenges faced by DevOps professionals: the need to immediately see and understand the impact of a rapidly changing applications together with a significantly higher degree of visibility for monitoring big data architectures.

“Simply put, it’s time to rethink monitoring,” said Gary Read, CEO of Boundary. “The rise of Big Data and the need for Operational Agility have created entirely new computing stacks, which have in turn caused a great need for a capable monitoring tool that takes an application-centric view as opposed to a device-centric view. Boundary is offering a solution that watches all of the data all of the time and delivers critical insights to users on a second by second basis.”

Boundary’s approach to monitoring is aimed at organizations with modern IT architectures that are currently struggling to monitor their Big Data applications for crucial insights into key behaviors and patterns.

The company’s approach focuses on improving the four major tenets of monitoring:

* Data Collection (metrics) – collect all the data all the time instead of sampling

* Advanced Analytics – meaningful analytics to help give customers rapid insights into massive amounts of monitoring metrics

* Application Centric View – monitor how all of the tiers of the application interact rather than looking at the performance of individual servers, monitor applications built using components and languages such as Hadoop, Cassandra, Erlang, PHP, Python, Ruby, Riak, CouchDB and others

* Real Time – redefining real-time monitoring – see the impact within seconds of the packets flowing as opposed to waiting for several minutes, be able to spot “brown outs” before “black outs” occur

Former Nimsoft CEO Gary Read has joined Boundary in January as President and CEO.

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Boundary Introduces Real-Time Monitoring for Big Data Applications

Boundary, a provider of monitoring solutions for big data applications, announced the general availability of the Boundary Platform, a SaaS solution that enables organizations to deliver continuous quality of service and enhance their operational agility.

Boundary addresses two critical challenges faced by DevOps professionals: the need to immediately see and understand the impact of a rapidly changing applications together with a significantly higher degree of visibility for monitoring big data architectures.

“Simply put, it’s time to rethink monitoring,” said Gary Read, CEO of Boundary. “The rise of Big Data and the need for Operational Agility have created entirely new computing stacks, which have in turn caused a great need for a capable monitoring tool that takes an application-centric view as opposed to a device-centric view. Boundary is offering a solution that watches all of the data all of the time and delivers critical insights to users on a second by second basis.”

Boundary’s approach to monitoring is aimed at organizations with modern IT architectures that are currently struggling to monitor their Big Data applications for crucial insights into key behaviors and patterns.

The company’s approach focuses on improving the four major tenets of monitoring:

* Data Collection (metrics) – collect all the data all the time instead of sampling

* Advanced Analytics – meaningful analytics to help give customers rapid insights into massive amounts of monitoring metrics

* Application Centric View – monitor how all of the tiers of the application interact rather than looking at the performance of individual servers, monitor applications built using components and languages such as Hadoop, Cassandra, Erlang, PHP, Python, Ruby, Riak, CouchDB and others

* Real Time – redefining real-time monitoring – see the impact within seconds of the packets flowing as opposed to waiting for several minutes, be able to spot “brown outs” before “black outs” occur

Former Nimsoft CEO Gary Read has joined Boundary in January as President and CEO.

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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 ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...