SOASTA introduced the SOASTA Digital Operations Center (DOC) – the new heartbeat of digital business.
The SOASTA DOC is a performance command center that provides a central point of visibility and control for managing today’s 24/7 digital business. Built on an advanced performance analytics engine that integrates and correlates real-time performance data, the DOC uses innovative visualization and display technology to create a unified view of contextual intelligence accessible anytime, anywhere from a display wall, desktop or mobile device.
“Just like with top athletic performers, the issue is not ‘Do you have a heartbeat?’ but how healthy that heartbeat is, which is reflective of the combined health of each individual vital sign,” said Tom Lounibos, SOASTA CEO. “Web performance is no different. It’s no longer relegated to IT but is a product of almost every function within a digitally-optimized organization. The SOASTA DOC gives all functions within an organization a new strategic advantage, enabling them to quickly understand, share and act on a fully unified set of information. Only when you can have complete visibility into user experience as well as your own technical, business and customer satisfaction performance, can you become part of today’s web performance winners’ circle.”
The DOC integrates with every measurement and analytics tool used – from an organization’s content delivery network, to its tag manager, to its social delivery feed, to its web and application performance monitoring tools. It then uses this unified data set to create a common language across the company to fuel informed, data-driven decision-making. A unique control application operates the DOC and allows quick and easy switching between customized views for different stakeholders, whether it be executive management, operations, engineering, marketing or sales.
SOASTA DOC enables enterprises to see, analyze and act on performance changes with richer contextual relationships in order to optimize responses based on three “C” core capabilities of data correlation, human collaboration and having control over how information is packaged, presented and made actionable:
Correlate: Companies can bring an entirely new level of highly visual data integration to their organizations with a comprehensive, consolidated view of all aspects of digital performance with associated contextual information.
Collaborate: SOASTA DOC enables the creation of a performance-driven culture where company executives, functional leaders and development professionals share a common understanding of digital goals, real-time and historical performance, current issues and optimization priorities.
Control: Customized views into an organization’s digital performance—such as for executive management, marketing and DevOps — empower each team with the information needed to report and respond in real time.
SOASTA DOC is available immediately with offerings that include SOASTA DOC software, SOASTA CloudTest for integrated load testing, SOASTA mPulse for real user monitoring, and installation and consulting services.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.