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AppDynamics Partners with Splunk

AppDynamics has entered into a strategic alliance with Splunk to provide a new approach to troubleshooting application performance issues.

The AppDynamics and Splunk Enterprise integration accelerates collaboration between Development and Operations teams by improving their ability to identify, troubleshoot and resolve application performance and availability issues.

Whereas AppDynamics is renowned for its ability to identify application performance hotspots in minutes, Splunk is celebrated for contextualizing operational intelligence from machine data such as log files, events, and metrics from all components of the datacenter technology stack. Customers now have the opportunity to leverage seamless integration between the AppDynamics and Splunk solutions, gaining wider application intelligence and operational visibility.

The AppDynamics and Splunk Enterprise integration includes the ability to view AppDynamics policy violations in the context of event data in Splunk software, the ability to view Splunk Enterprise events in the context of performance metrics in AppDynamics, as well as the ability to export select AppDynamics metrics to Splunk software for longer-term trending and analysis.

Specific benefits of the AppDynamics-Splunk Enterprise integration include:

- Increased operational awareness of end user incidents and faster troubleshooting

- Lower Mean-Time-to-Resolution with the ability to troubleshoot with a common context between AppDynamics and Splunk Enterprise

- Increased productivity as Splunk software users can now better prioritize which events are responsible for poor end user experience and business impact

“We are excited about our strategic alliance with AppDynamics,” said Bill Gaylord, senior vice president of business development, Splunk. “The AppDynamics integration with Splunk Enterprise makes it easier for organizations to contextualize their deep dive application metrics from AppDynamics with all other machine-generated data from their applications and infrastructure in Splunk Enterprise.”

“AppDynamics has found that our customers are just as passionate about Splunk Enterprise as they are with our own world-class application performance management solution,” said Stuart Horne, vice president of business development, AppDynamics. “I’m enthusiastic about integrating these complementary products in order to provide our customers with an even greater ability to troubleshoot application problems quickly. The team at Splunk is fantastic to work with, and we expect to enjoy a long and prosperous relationship with them.”

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AppDynamics Partners with Splunk

AppDynamics has entered into a strategic alliance with Splunk to provide a new approach to troubleshooting application performance issues.

The AppDynamics and Splunk Enterprise integration accelerates collaboration between Development and Operations teams by improving their ability to identify, troubleshoot and resolve application performance and availability issues.

Whereas AppDynamics is renowned for its ability to identify application performance hotspots in minutes, Splunk is celebrated for contextualizing operational intelligence from machine data such as log files, events, and metrics from all components of the datacenter technology stack. Customers now have the opportunity to leverage seamless integration between the AppDynamics and Splunk solutions, gaining wider application intelligence and operational visibility.

The AppDynamics and Splunk Enterprise integration includes the ability to view AppDynamics policy violations in the context of event data in Splunk software, the ability to view Splunk Enterprise events in the context of performance metrics in AppDynamics, as well as the ability to export select AppDynamics metrics to Splunk software for longer-term trending and analysis.

Specific benefits of the AppDynamics-Splunk Enterprise integration include:

- Increased operational awareness of end user incidents and faster troubleshooting

- Lower Mean-Time-to-Resolution with the ability to troubleshoot with a common context between AppDynamics and Splunk Enterprise

- Increased productivity as Splunk software users can now better prioritize which events are responsible for poor end user experience and business impact

“We are excited about our strategic alliance with AppDynamics,” said Bill Gaylord, senior vice president of business development, Splunk. “The AppDynamics integration with Splunk Enterprise makes it easier for organizations to contextualize their deep dive application metrics from AppDynamics with all other machine-generated data from their applications and infrastructure in Splunk Enterprise.”

“AppDynamics has found that our customers are just as passionate about Splunk Enterprise as they are with our own world-class application performance management solution,” said Stuart Horne, vice president of business development, AppDynamics. “I’m enthusiastic about integrating these complementary products in order to provide our customers with an even greater ability to troubleshoot application problems quickly. The team at Splunk is fantastic to work with, and we expect to enjoy a long and prosperous relationship with them.”

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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...