
SmartBear has introduced several new API Monitoring capabilities in AlertSite, a performance monitoring solution for web, mobile, and APIs.
The new API Monitoring capabilities in AlertSite enable operations, DevOps, and development teams to gain unparalleled end-to-end visibility into API performance, availability, and functional correctness in real-time, across production, staging, and engineering environments.
AlertSite has taken a different approach to addressing the needs of operations, DevOps, and development teams who need end-to-end visibility into the real-time health of their APIs.
With the new API Monitoring capabilities in AlertSite, teams can:
- Instantly create API Monitors in a way that matches their operational cadence and technical skillset: If embracing DevOps and the Shift Left, simply upload existing OpenAPI Specification (OAS) files. If running a rapid release cadence that doesn’t leave time to re-work monitors when APIs change, simply upload existing SoapUI test scripts. If teams are not highly technical, simply leverage an intuitive point-and-click wizard.
- Gain end-to-end visibility by monitoring a sequence of related API calls, where information must be passed from one API call to another to complete an API transaction
- Define granular, targeted alerting to ensure the right people receive alerts for different errors, steps, APIs, and different calls within a chained API transaction
- Trust that the alerts are real with a powerful set of validation checks, such as retrying the run from another location to ensure there are never any false alarms
- Monitor both public and private APIs through the AlertSite global network and private nodes either in the data center or from remote locations
Anand Sundaram, VP of Products, Performance Testing & Monitoring at SmartBear, said: “We’ve made it painless and simple to get real-time insights into the performance, availability, and functional correctness of your APIs, coupled with the flexibility to create API monitors through native capabilities like endpoint and multi-step monitor creation, as well as SoapUI test scripts and OpenAPI Specification (OAS) definition reuse.”
The Latest
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...