Application Performance Monitoring – How To Break Down Data Silos And Streamline IT Operations

Application Performance Monitoring – How To Break Down Data Silos And Streamline IT Operations

Application Performance Monitoring - How To Break Down Data Silos And Streamline IT Operations

Application Performance Monitoring – Multi-cloud is no longer optional for the modern enterprise. In fact, in a Forrester survey, 86% of enterprise companies said they distribute applications across multiple cloud environments, and almost half reported $50 million or more in annual cloud spending.

But, according to a new report from IDC, the complexities of these rapidly expanding distributed environments introduce challenges for operational management that make it difficult for teams to get the application visibility they need.

The solution is simple on the surface: tighter teamwork and more efficient use of technology.

But to achieve both, says IDC, IT executives must start by building an environment that integrates two capabilities in particular: application performance monitoring (APM), which provides the ability to monitor business performance at the code level and a monitoring solution that provides visibility at the network level. In other words, integrate app- and network-level visibility, and you’ll reunite your data and your teams.

So, how can you use these technologies to break down data silos? What opportunities are there to streamline operations? IDC makes two key recommendations.

1) Monitor a single data pool

From Agile to DevOps, the last few years have seen increasingly advanced efforts to get IT teams on the same page and using the same data to reduce the impact of their organization’s downtime. According to a recent study from AppDynamics, downtime can rack up several hundreds of thousands of dollars in costs.

But some network management tools have become expensive in their own right, sometimes providing very limited analytics, or worse, creating siloed repositories of data, said IDC. Even after some network and applications teams have moved past organizational silos, they still end up using separate tools for performance monitoring. This is useful for solving problems for their respective domains, but not for the broad business or end user.

By correlating code-level and network-level information, NOCs and network executives could base business decisions on a single pool of data. While some layer of diagnostic information would be required, providing this level of context in terms that both application and network teams can understand creates shared understanding of two otherwise siloed environments.

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