Application Intelligence Reduces Troubleshooting Time and Costs
Network engineers often struggle with where to start the troubleshooting process and if there is a way to be proactive about troubleshooting. The situation will only get worse, especially with data overload. A Cisco report states that global IP traffic will triple from 72.5 EB per month in 2015 to 194.4 EB per month in 2020. Data overload will contribute to more blind spots, and these blind spots directly correlate to network problems and outages.
One key component of problem resolution is problem identification. Zeus Kerravala, Principal Analyst at ZK Research asserts that, “Problem identification is IT’s biggest challenge.” He explains that 85% of the mean time to repair (MTTR) is the time taken to identify that there is in fact, an issue. Even worse, the MTTR clock starts ticking whether IT knows there is an issue or not.
A second component of problem resolution is identifying the location of the problem(s). It is one thing to try to find the needle in the haystack. But which haystack should you even be looking at (network equipment, network applications, virtual data center, cloud provider, user/customer premises equipment, etc.)? IT security and analytics tools are only as good as the data they are seeing. IT’s fundamental challenge is to ensure that the infrastructure under these tools deliver applications that are reliable, fast, and secure.
A visibility architecture that uses application intelligence information can be used to capture critical information needed for the whole troubleshooting process. This is because visibility architectures enable IT to combat blind spots and quickly isolate the resulting security threats and resolve performance issues; ultimately ensuring the best possible end user experience. Without visibility, IT can only operate reactively to problems and may be ineffective at eliminating those problems.