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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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Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

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The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

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