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AppDynamics Supports PHP Applications

AppDynamics has extended APM support to the PHP platform.

AppDynamics for PHP will enable Operations and Development teams to focus on the performance of business transactions and user requests when monitoring their application, rather than analyzing primitive server metrics such as CPU, memory, or Disk I/O.

For example, if a user makes a “payment” on an e-commerce website, AppDynamics will learn the baseline performance of that transaction and trigger alerts to application support teams when transaction performance deviates from its historical norm.

AppDynamics for PHP includes ability to:

- Auto-Discover: Application tier dependencies and business transactions (user requests)

- Self-Learn: Performance of every business transaction so baselines and alerts are accurate

- Trace Transactions: Across application tiers including databases and 3rd party web services

- Deep-Dive Diagnostics: AppDynamics offers complete code-level visibility into the performance of slow and stalled Business Transactions, which can reduce Mean-Time-to-Resolution by up to 90%.

“PHP is increasingly used in enterprise environments for the foundation of critical business applications, but those applications tend to be complicated, hard to manage, and contain issues that cause both performance problems and outages,” said Jyoti Bansal, Founder & CEO of AppDynamics. “Our PHP product will have the same secret sauce: the ability to monitor every line of code and alert on performance problems, but still have a low enough overhead to be deployed directly in production.”

AppDynamics will offer new customers a free pre-production license for PHP for every production license purchased up to 100 licenses, and 50% off pre-production licenses for each production license bought thereafter.

According to Joe Sexton, President of Worldwide Field Operations at AppDynamics, this pricing structure is meant to help companies with tight budgets to offer the same visibility across their entire organization. “Application performance belongs to the entire company, not just operations. We want to make sure that our monitoring data is available to everyone who has a stake in application performance, from the developers to the CIO.”

AppDynamics for PHP will support common frameworks like Drupal, Wordpress, Zend and Symfony, with additional framework support following in the near future.

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AppDynamics Supports PHP Applications

AppDynamics has extended APM support to the PHP platform.

AppDynamics for PHP will enable Operations and Development teams to focus on the performance of business transactions and user requests when monitoring their application, rather than analyzing primitive server metrics such as CPU, memory, or Disk I/O.

For example, if a user makes a “payment” on an e-commerce website, AppDynamics will learn the baseline performance of that transaction and trigger alerts to application support teams when transaction performance deviates from its historical norm.

AppDynamics for PHP includes ability to:

- Auto-Discover: Application tier dependencies and business transactions (user requests)

- Self-Learn: Performance of every business transaction so baselines and alerts are accurate

- Trace Transactions: Across application tiers including databases and 3rd party web services

- Deep-Dive Diagnostics: AppDynamics offers complete code-level visibility into the performance of slow and stalled Business Transactions, which can reduce Mean-Time-to-Resolution by up to 90%.

“PHP is increasingly used in enterprise environments for the foundation of critical business applications, but those applications tend to be complicated, hard to manage, and contain issues that cause both performance problems and outages,” said Jyoti Bansal, Founder & CEO of AppDynamics. “Our PHP product will have the same secret sauce: the ability to monitor every line of code and alert on performance problems, but still have a low enough overhead to be deployed directly in production.”

AppDynamics will offer new customers a free pre-production license for PHP for every production license purchased up to 100 licenses, and 50% off pre-production licenses for each production license bought thereafter.

According to Joe Sexton, President of Worldwide Field Operations at AppDynamics, this pricing structure is meant to help companies with tight budgets to offer the same visibility across their entire organization. “Application performance belongs to the entire company, not just operations. We want to make sure that our monitoring data is available to everyone who has a stake in application performance, from the developers to the CIO.”

AppDynamics for PHP will support common frameworks like Drupal, Wordpress, Zend and Symfony, with additional framework support following in the near future.

The Latest

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...