Site24x7 announced Site24x7 Plugins. Available now, the new feature lets IT pros use third-party and custom-built plugins for detailed monitoring of their IT resources — all within the Site24x7 control panel.
Site24x7 Plugins let users customize the set of monitored attributes for the hosts, devices, services, protocols, applications and all other resources in their environments, providing deep performance visibility into the entire application stack.
Network and server administrators often require specific monitoring data that goes beyond the scope of vendors' standard monitoring solutions. Acquiring such data typically requires users to extend the functionality of their existing tools with third-party and custom plugins designed to provide detailed monitoring metrics of individual resources. With Site24x7 Plugins, IT admins can now access that data using thousands of supported, pre-built plugins or create their own.
"The new Site24x7 Plugins for server monitoring will help DevOps teams to monitor the full application stack," said Gibu Mathew, Director of Product Management, Site24x7. "With support for custom scripting and out-of-the-box integrations to provide additional, system-level metrics, Site24x7 Plugins extend the end-user monitoring and application troubleshooting capabilities that Site24x7 customers around the world rely on daily."
- Out-of-the-Box Plugins Support - Site24x7 Plugins supplement Site24x7 monitoring with precise, resource-specific metrics that an IT team deems critical to the monitoring of its particular environment. For example, installing the Site24x7 MySQL plugin will let users analyze key details such as total number of used connections, number of slow queries, total aborted connections and other metrics needed to tune and troubleshoot apps that rely on MySQL.
- Nagios Plugins Without Nagios Servers - With support for Nagios, users can execute thousands of Nagios plugins in Site24x7 without the need to run a Nagios server. This means that there is no need to maintain a dedicated server for Nagios and Nagios server software, yet users can still take advantage of Nagios community scripts. Nagios plugins can be executed with a simple configuration file while the other pre-built plugins work out of the box.
- Create Your Own Plugins - Users can also create custom plugins using Python or shell scripts and analyze the performance of databases, Web servers and more with a simple script.
In addition to MySQL, Nagios and custom plugins, Site24x7 Plugins support a wide range of out-of-the-box integrations, including Redis, MongoDB, NGINX, HAProxy, ZooKeeper, WordPress, Apache and Memcached. Site24x7 Plugins will support additional modules going forward.
All plugin data is passed through to the Site24x7 alerting and reporting engines, so users can set threshold values for individual attributes and configure alerts if values exceed the set limit. Performance charts for custom attributes can be viewed on the Site24x7 dashboard.
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.