Apica Systems announced enhanced capabilities to help customers reduce friction as they look toward a Web 3.0 world.
Apica’s product team has developed a forward-looking strategy to help align all product development to a Web 3.0 vision. This began late last year with the load testing and synthetic monitoring capabilities being combined into the Apica platform now named Apica Ascent. These new improvements help reduce friction in dashboarding to help customers consume the data they want when and where they want it.
“We work with some of the largest forward-thinking companies globally – from finance and manufacturing to entertainment who need to test and monitor mission critical applications and their end-user’s journey,” said Jason Haworth, CPO at Apica. “We have made it a priority to listen to and even anticipate our customers’ needs while delivering the best-in-class digital performance monitoring platform. Our plan is to make monitoring easier for any organization looking toward Web 3.0 and beyond.”
Apica’s Ascent platform new capabilities include:
Scripted Checks: Apica’s new Scripted Checks capabilities allows you to run as a monitor anything you can code. Now you can monitor any complex problem or system that can be monitored through any type of coded interface. This means organizations can replace self-managed on-premises software with powerful scripting engines that handle the most complex workflows. DevOps and monitoring teams can now develop scripts through the most popular scripting languages and any home-grown languages. The result is the ability to monitor anything that can be reached by code including systems that are not traditionally monitorable.
Lambda Checks: Organizations that are fully cloud-based can now run as a monitor anything you can code, natively inside your AWS environment. With the ability to monitor resources that are inside private AWS Virtual Private Clouds, organizations can have visibility into secured application components without the need to create security exceptions for external agents while ensuring all monitoring runs with appropriate permissions.
Grafana Integration: The Grafana Plugin enables integration of Apica’s platform with your on-site deployment of Grafana to provide customizable views of your application monitoring for business owners and operations teams, to identify availability and performance issues before they impact customers. The Apica Panels, conveniently integrated directly into Apica Synthetic Monitoring (ASM) eliminates the need to deploy your own Grafana server, enables Single Sign-On so you can get the data quickly.
SSO for ALT: Current customers of ASM have enjoyed the simplified user administration afforded by Single Sign-On (SSO), which allows organizations to manage access through their existing centralized Enterprise User Management system. The same SSO capabilities are now included in Apica’s Load Testing (ALT) bringing the same simplicity and operational savings. With the enhanced SSO feature, organizations can now integrate both ASM and ALT with their Enterprise User Management system using industry standard SAML 2.0 for identity federation.
The Latest
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 ...
In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ...
Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...
2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...
Data has never been more central to a greater portion of enterprise operations than it is today. From software development to marketing strategy, data has become an essential component for success. But as data use cases multiply, so too does the diversity of the data itself. This shift is pushing organizations toward increasingly complex data infrastructure ...
Enterprises are not stalling because they doubt AI, but because they cannot yet govern, validate, or safely scale autonomous systems, according to The Pulse of Agentic AI 2026, a new report from Dynatrace ...
For most of the cloud era, site reliability engineers (SREs) were measured by their ability to protect availability, maintain performance, and reduce the operational risk of change. Cost management was someone else's responsibility, typically finance, procurement, or a dedicated FinOps team. That separation of duties made sense when infrastructure was relatively static and cloud bills grew in predictable ways. But modern cloud-native systems don't behave that way ...