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SolarWinds Updates APM Suite

SolarWinds announced new and improved features to its SolarWinds APM Suite of SaaS-based infrastructure and application performance management (APM) solutions, simplifying and accelerating application troubleshooting for IT professionals.

The latest updates to the SolarWinds APM suite of products — AppOptics, Pingdom and Loggly — are designed to provide IT pros a simple, powerful, and affordable APM alternative for managing custom applications and the underlying infrastructure in on-premises, hybrid, and cloud-native environments.

“We believe IT pros need an APM solution with the capabilities to deliver full-stack visibility into the applications and infrastructure supporting business continuity and success that’s not only easy to use, but costs a fraction of competing vendor prices,” said Jim Hansen, VP of Product Strategy, Application and Infrastructure Management, SolarWinds. “With the latest SolarWinds APM Suite enhancements, we continue to make APM more accessible to all by streamlining and simplifying often cumbersome and complex application and infrastructure management tasks at an unmatched value.”

Highlights of the newest features and updates to the APM Suite include:

- New AppOptics service map: Shows the dynamic relationships between services and their dependencies enabling users to accelerate troubleshooting application and infrastructure issues in distributed environments. Users can view metrics (average latency, requests per minute, error rate and CPU usage), within a service trace topology map as a time series. The user can click through to the service summary page and look at related dependencies, such as database, cache, and external domain. With the AppOptics service map feature, users can automatically view which services and dependencies are causing resource constraints, surface unknown dependencies and misconfigurations in services, and understand the flow of critical business transactions across application services.

- New web transaction recorder for Pingdom: Automatically captures how an end user interacts with a web application eliminating the need for scripting—whether a simple button click or a complex series of steps. The web transaction recorder for Pingdom helps save users time and effort when creating transaction checks or when setting up transaction monitoring. By recording transaction steps and translating these actions into a script for automated playback, an otherwise manual, time-consuming step that required technical expertise, has become easier and more accessible.

- Enhanced Loggly custom parsing and search UX: Speeds time to insight withautomated indexing and parsing of logs–even prior to the first search, delivering valuable results more quickly and easily.

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SolarWinds Updates APM Suite

SolarWinds announced new and improved features to its SolarWinds APM Suite of SaaS-based infrastructure and application performance management (APM) solutions, simplifying and accelerating application troubleshooting for IT professionals.

The latest updates to the SolarWinds APM suite of products — AppOptics, Pingdom and Loggly — are designed to provide IT pros a simple, powerful, and affordable APM alternative for managing custom applications and the underlying infrastructure in on-premises, hybrid, and cloud-native environments.

“We believe IT pros need an APM solution with the capabilities to deliver full-stack visibility into the applications and infrastructure supporting business continuity and success that’s not only easy to use, but costs a fraction of competing vendor prices,” said Jim Hansen, VP of Product Strategy, Application and Infrastructure Management, SolarWinds. “With the latest SolarWinds APM Suite enhancements, we continue to make APM more accessible to all by streamlining and simplifying often cumbersome and complex application and infrastructure management tasks at an unmatched value.”

Highlights of the newest features and updates to the APM Suite include:

- New AppOptics service map: Shows the dynamic relationships between services and their dependencies enabling users to accelerate troubleshooting application and infrastructure issues in distributed environments. Users can view metrics (average latency, requests per minute, error rate and CPU usage), within a service trace topology map as a time series. The user can click through to the service summary page and look at related dependencies, such as database, cache, and external domain. With the AppOptics service map feature, users can automatically view which services and dependencies are causing resource constraints, surface unknown dependencies and misconfigurations in services, and understand the flow of critical business transactions across application services.

- New web transaction recorder for Pingdom: Automatically captures how an end user interacts with a web application eliminating the need for scripting—whether a simple button click or a complex series of steps. The web transaction recorder for Pingdom helps save users time and effort when creating transaction checks or when setting up transaction monitoring. By recording transaction steps and translating these actions into a script for automated playback, an otherwise manual, time-consuming step that required technical expertise, has become easier and more accessible.

- Enhanced Loggly custom parsing and search UX: Speeds time to insight withautomated indexing and parsing of logs–even prior to the first search, delivering valuable results more quickly and easily.

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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 ...