Boundary and Besol, an infrastructure management services provider in Spain, have partnered to provide cloud application monitoring and analytics to cloud-centric businesses.
Through Tapp (Tapp.in), a Besol platform for managing and deploying cloud infrastructure, global telecommunications operators, service providers and fast-growing tech businesses will have seamless access to a free version of Boundary. The additional capacity version of Boundary is also available to Besol customers free of charge for a trial period.
The end-customers of telco operators and other cloud service providers which license Tapp’s technology will benefit from Boundary’s rapid problem resolution, discovery of undetected configuration and security issues, and early warning system for cloud latency and outages. This proactive network monitoring and application performance data, allows Tapp to deploy unprecedented auto scaling capabilities triggered by geo-localized load balancing across IaaS vendors. Tapp is IaaS independent and supports all market-leading IaaS providers.
“Integrating Boundary into Tapp.in consolidates our proposition as a cloud broker and aggregator, further strengthens the provision of integrated APM capabilities and offers a complete customer experience across different cloud providers,” said Hector Rodriguez, CEO at Besol. “Boundary will allow Tapp.in customers to analyze real-time application traffic to proactively size cloud instances, prevent issues for optimal end-user performance and uptime and turn network data into actionable information.”
“Boundary’s real-time flow analytics enables customers to identify potential hot spots in both public and private clouds,” said Gary Read, CEO at Boundary. “When combined with Tapp.in’s orchestration, customers can now avoid bottlenecks by quickly and easily provisioning cloud resources where they will be most effective.”
Related Links:
The Latest
Monitoring your cloud infrastructure on Microsoft Azure is crucial for maintaining its optimal functioning ... In this blog, we will discuss the key aspects you need to consider when selecting the right Azure monitoring software for your business ...
All eyes are on the value AI can provide to enterprises. Whether it's simplifying the lives of developers, more accurately forecasting business decisions, or empowering teams to do more with less, AI has already become deeply integrated into businesses. However, it's still early to evaluate its impact using traditional methods. Here's how engineering and IT leaders can make educated decisions despite the ambiguity ...
2024 is the year of AI adoption on the mainframe, according to the State of Mainframe Modernization Survey from Kyndryl ...
When employees encounter tech friction or feel frustrated with the tools they are asked to use, they will find a workaround. In fact, one in two office workers admit to using personal devices to log into work networks, with 32% of them revealing their employers are unaware of this practice, according to Securing the Digital Employee Experience ...
In today's high-stakes race to deliver innovative products without disruptions, the importance of feature management and experimentation has never been more clear. But what strategies are driving success, and which tools are truly moving the needle? ...
The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...
As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
