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.
This article originally appeared on Forbes.com. To read the full article, click here.
Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously. To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:
- Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
- Raw information handling and analytics speed
- End-to-end business transaction tracking that spans technologies, tiers, and organizations
- Intuitive, easy-to-use data visualizations and dashboards
If you would like to learn more, click here
Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.
The Nastel i2M Platform provides:
- Secure self-service configuration management with auditing for governance & compliance
- Message management for Application Development, Test, & Support
- Real-time performance monitoring, alerting, and remediation
- Business transaction tracking and IT message tracing
- AIOps and APM
- Automation for CI/CD DevOps
- Analytics for root cause analysis & Management Information (MI)
- Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics