SolarWinds is introducing an inside out view into cloud environments to help DevOps professionals gain unmatched visibility across the internal aspects of cloud environments — metrics, traces, and logs, plus an external view of the user experience.
The enhanced functionality within SolarWinds’ products Pingdom, AppOptics, Papertrail, and Loggly can be used individually to provide visibility into cloud-based infrastructure and application performance or used together as a DevOps toolkit to maintain 360-degree visibility into cloud monitoring.
“Today’s recognized ‘pillars of observability’ combine metrics, traces, and logs to enable DevOps teams to monitor system and application performance. But, these capabilities provide only limited insights into application performance because they ignore the user’s experience—a critical measure of application performance,” said Christoph Pfister, EVP of Products, SolarWinds. “Understanding if a system is slow or unavailable from an end user’s perspective is crucial in today’s digital world even if the metrics are good and there are no alerts. Bringing user experience, metrics, traces, and logs together with an easy-to-use, complementary toolkit provides DevOps teams with unmatched visibility into their environment, so they can seamlessly follow an alert or issue from one product into another to resolve issues quickly and get back to focusing on the more proactive elements of their job.”
For example, if support gets a call that a web application is not letting users log in, a DevOps team can open the Pingdom (user experience) dashboard to see the login page has turned red and when the outage began. Jumping over to the metrics views in AppOptics (metrics), the DevOps team sees it’s not a problem with the website response time, therefore not a performance issue, but in the detail view they notice the HTTP status codes are red. Next, the DevOps team uses AppOptics (traces) to trace one of the failed requests and discovers the web application was trying to make a connection to a backend service, but there was an issue with the DNS entry. The DevOps team then jumps over to Papertrail (logs) or Loggly (logs) to see the log data. Here they can filter down to the application host and view when the outage started, discovering the service was stopped. With this insight, the DevOps team can quickly restart the service and get the web application up and running.
Altogether, the combined functionality of Pingdom, AppOptics, Papertrail, and Loggly brings together real user monitoring, synthetic user monitoring, web and application performance metrics, distributed tracing, event aggregation, and log management to help proactively identify bottlenecks and accelerate troubleshooting.
“As the digital transformation continues to change users’ expectations and needs within applications, the roles and capabilities of monitoring and management needs to evolve,” said Edwin Yuen, senior analyst, Enterprise Strategy Group. “SolarWinds’ enhanced integration of their SaaS-based offerings brings together critical areas of end user experience and application performance monitoring, creating a unified experience that addresses today’s modern applications and users.”
Inside Out View with SolarWinds:
- User experience – The Pingdom solution provides Real User Monitoring (RUM), which collects performance data from actual users, and uptime and synthetic monitoring, which proactively monitors critical user flows to help ensure optimal user experience.
- Metrics – The AppOptics solution provides monitoring for customer metrics as well as metrics associated with infrastructure monitoring, and an analytics platform, connecting infrastructure and applications to business metrics designed to quickly visualize and predict system behavior and trigger alerts.
- Traces – AppOptics delivers distributed transaction tracing of today’s cloud native applications, which follows the end-to-end path of a request to help identify bottlenecks and to better understand upstream and downstream implications.
- Logs – The Loggly solution provides log analysis and monitoring designed to understand system behavior and help identify unusual activity. Papertrail offers cloud-based log aggregation and management designed to streamline troubleshooting and debugging of applications in development and in production.
The combined functionality is the latest milestone for the SolarWinds product portfolio for DevOps, as it continues to deliver easy-to-use yet powerful cloud monitoring solutions to help solve specific pain points as standalone products or as a set of solutions for broader, more complex use cases. Deployed individually or together, the products are designed to take less time to get up and running, with less work to maintain — while remaining affordable.
The enhanced SolarWinds portfolio for DevOps is available immediately.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
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 ...