BYOD and “any-data, anywhere” have forever shifted that paradigm.
EdgeTeam helps resolve Network & Application management challenges.
As today’s applications and the underlying network infrastructures work in concert with each other to accomplish their intended business services, traditional network & application monitoring and management systems have failed to keep pace.
Network Monitoring & Management
Network performance management (NPM) typically refers to the activities, methods, procedures, and tools that pertain to the operation, administration, maintenance, and provisioning (OAM&P) of networked systems. Network management is essential to network operations policies & practices.
Commonly measured metrics are response time, availability and uptime, although both consistency and reliability metrics are starting to gain popularity. Route analytics is another important area of network measurement. It includes the methods, systems, algorithms and tools to monitor the routing health of networks. Incorrect routing or routing issues cause undesirable performance degradation or downtime.
The data for this network monitoring & management is collected through several mechanisms, including: agents installed on infrastructure, synthetic monitoring that simulates transactions, logs of activity, sniffers, and real user monitoring. In the past, network management mainly consisted of monitoring whether devices were up or down. Today, however, real-time performance management has become a crucial part of the IT team’s role, which brings about a host of challenges, especially for organizations with disparate or even global network infrastructures. The mere gathering and compilation of all of this data can easily become a daunting task.
Historically, application monitoring has meant simply reporting the health of an application by measuring the replies of application specific queries. For instance, to determine the status of a webserver, monitoring software may periodically send an HTTP request to fetch a webpage. For email servers, a test message might be sent through SMTP and retrieved by IMAP or POP3. The list goes on for the varying applications within an organization.
That was then.
Today, the applications themselves are becoming increasingly difficult to manage as they move toward highly distributed, multi-tier, multi-element constructs that in many cases rely on application development frameworks and application servers.
To further compound the situation, applications are in high demand to run on a variety of mobile devices, from smartphones to tablets, of varying sizes and specifications.
Modern applications comprised of newer technologies such as service-oriented architectures (SOA), virtualization, cloud computing, portal frameworks, grid architectures, and mashups within organizations make the monitoring, managing, and troubleshooting of business services very difficult.
A single business process or service may be supported by any number of composite applications, all of which could be dependent on a diverse set of distributed computing and communications elements. Each function is now likely to have been designed as a service that runs on multiple virtualized systems.
An issue anywhere in this complex environment may impact one or more tasks in the business process.
Traditional network management systems and technology-centric monitoring approaches are incapable of determining the business impact of an issue in such a complicated infrastructure environment.
This revolution has introduced Application Performance Management.
The use of APM is common for web applications, either internal or external, which are best suited to the more detailed monitoring techniques. In addition to measuring response time for a user, response times for components of a web application can also be monitored to help pinpoint causes of delay.
Traditional network management systems have focused on measuring and monitoring the technical metrics and trends of IT applications and the underlying infrastructure as two separate technology domains within an organization. Although these systems have enabled the IT operations team to identify problem areas from a technical point-of-view, significant gaps exist in determining the business impact of a specific problem, especially those crossing the lines of these technology domains. For example, if a router and a server fail at the same time, these systems offer no way for the network operations center operator to determine which of these is more critical or which business services have been impacted by the failure of these devices.