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Apica Platform Combines Active Monitoring and Load Testing

Apica Systems announced the Apica Service-level Assurance Platform that combines active monitoring and load testing to ensure the health and performance of all applications.

Monitoring teams can now ensure all business-critical applications and transactions are secure and available, including cloud, container and on-premises legacy solutions. The result is an early warning and detection system that closes the visibility gaps in end-user monitoring while eliminating revenue loss and increasing customer and employee satisfaction.

“We have a unique place in the market as we help customers integrate both load testing and active monitoring into the end-user journeys and their mission-critical applications,” said Peter Tollgard, CEO of Apica. “Our highly extensible platform enhances the customer experience by finding problems before their users do.”

Apica’s platform delivers service-level assurance, guaranteeing successful business outcomes on all fronts–from the employee perspective to the customer outcome–across your SLIs, SLOs, and SLAs. The platform provides monitoring with checks on tasks regardless of location, device, app, authentication, or scale. Apica’s platform will enhance your existing monitoring investments to mirror your employees’ and customers’ user experience.

Additionally, the platform includes robust integration with existing APM, AIOps, monitoring systems and highly secure MFA solutions. And because of the Apica Data Repository can be used where the script execution requires dynamic data, like feeding script with credentials, feeding script with security tokens, sharing data across different micro services scripts in the same application and so on. Resulting in customers saving time and money.

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Apica Platform Combines Active Monitoring and Load Testing

Apica Systems announced the Apica Service-level Assurance Platform that combines active monitoring and load testing to ensure the health and performance of all applications.

Monitoring teams can now ensure all business-critical applications and transactions are secure and available, including cloud, container and on-premises legacy solutions. The result is an early warning and detection system that closes the visibility gaps in end-user monitoring while eliminating revenue loss and increasing customer and employee satisfaction.

“We have a unique place in the market as we help customers integrate both load testing and active monitoring into the end-user journeys and their mission-critical applications,” said Peter Tollgard, CEO of Apica. “Our highly extensible platform enhances the customer experience by finding problems before their users do.”

Apica’s platform delivers service-level assurance, guaranteeing successful business outcomes on all fronts–from the employee perspective to the customer outcome–across your SLIs, SLOs, and SLAs. The platform provides monitoring with checks on tasks regardless of location, device, app, authentication, or scale. Apica’s platform will enhance your existing monitoring investments to mirror your employees’ and customers’ user experience.

Additionally, the platform includes robust integration with existing APM, AIOps, monitoring systems and highly secure MFA solutions. And because of the Apica Data Repository can be used where the script execution requires dynamic data, like feeding script with credentials, feeding script with security tokens, sharing data across different micro services scripts in the same application and so on. Resulting in customers saving time and money.

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...