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AppDynamics Extends Monitoring to NetApp Storage

AppDynamics announced a new solution that simplifies the monitoring and management of NetApp storage.

The solution enables enterprises to quickly and easily correlate performance characteristics between the databases and underlying NetApp storage, helping them identify and remediate infrastructure bottlenecks.

The AppDynamics solution for NetApp storage couples comprehensive NetApp storage performance monitoring capabilities with high-fidelity database monitoring for MySQL, Oracle, SQL Server and Sybase ASE, helping customers proactively pursue performance issues and deliver higher performing infrastructure for all their mission-critical applications.

The integrated AppDynamics solution can be used as a standalone deep-dive monitoring tool for NetApp storage, or it can be used to correlate performance anomalies across the database and storage.

Additionally, customers can use NetApp and Database monitoring in conjunction with the AppDynamics Application Performance Monitoring and End User Monitoring for full-stack visibility across the Client, Middleware, Database, and Storage tiers typical of modern, complex application architectures.

The AppDynamics and NetApp collaboration includes full support for 7-mode and Clustered Data ONTAP as well as a short-term roadmap for NetApp's E/EF series storage products. The solution currently supports intra-system monitoring for storage clusters, equipping customers with easy-to-use performance telemetry for HA and load-balancing systems.

Key features of AppDynamics for NetApp include the ability to:

- Show inbound and outbound throughput to gauge how well the environment is performing, and the type of I/O workload the storage system is performing.

- Monitor individual protocol operations to discover the type of activity being performed at any time of day or night e.g. CIFS, NFS, FCP, ISCSI etc.

- View current storage system performance metrics e.g. %CPU and Read/Write Latency

- View metrics and KPIs for all volumes

- Engage in 24x7 remote monitoring of NetApp Key Performance Indicators

- Facilitates root cause analysis of infrastructure issues e.g. Correlate I/O latency with database operations

- Proactive email alerting on storage system availability

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AppDynamics Extends Monitoring to NetApp Storage

AppDynamics announced a new solution that simplifies the monitoring and management of NetApp storage.

The solution enables enterprises to quickly and easily correlate performance characteristics between the databases and underlying NetApp storage, helping them identify and remediate infrastructure bottlenecks.

The AppDynamics solution for NetApp storage couples comprehensive NetApp storage performance monitoring capabilities with high-fidelity database monitoring for MySQL, Oracle, SQL Server and Sybase ASE, helping customers proactively pursue performance issues and deliver higher performing infrastructure for all their mission-critical applications.

The integrated AppDynamics solution can be used as a standalone deep-dive monitoring tool for NetApp storage, or it can be used to correlate performance anomalies across the database and storage.

Additionally, customers can use NetApp and Database monitoring in conjunction with the AppDynamics Application Performance Monitoring and End User Monitoring for full-stack visibility across the Client, Middleware, Database, and Storage tiers typical of modern, complex application architectures.

The AppDynamics and NetApp collaboration includes full support for 7-mode and Clustered Data ONTAP as well as a short-term roadmap for NetApp's E/EF series storage products. The solution currently supports intra-system monitoring for storage clusters, equipping customers with easy-to-use performance telemetry for HA and load-balancing systems.

Key features of AppDynamics for NetApp include the ability to:

- Show inbound and outbound throughput to gauge how well the environment is performing, and the type of I/O workload the storage system is performing.

- Monitor individual protocol operations to discover the type of activity being performed at any time of day or night e.g. CIFS, NFS, FCP, ISCSI etc.

- View current storage system performance metrics e.g. %CPU and Read/Write Latency

- View metrics and KPIs for all volumes

- Engage in 24x7 remote monitoring of NetApp Key Performance Indicators

- Facilitates root cause analysis of infrastructure issues e.g. Correlate I/O latency with database operations

- Proactive email alerting on storage system availability

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Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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