Winning in the application economy is all about delivering differentiated customer experiences through multi-channel software applications. Proactivley optimizing experience of the IT Infrastructure that runs these applications can be a strategic advantage. But today's modern IT infrastructures are dynamic and hybrid in nature. Managing performance of various infrastructure tiers spread across cloud and traditional infrastructures can be challenging. IT operations teams need to step up their infrastructure and cloud monitoring by leveraging analytics that provide actionable visibility. Here are two of types of analytics that are a must:
The days of standalone data centers are giving way to hybrid infrastructures that combine traditional on premise technology with public and private cloud. Even if you are 100% in the cloud you still have multiple tiers to triage such as hosts, containers, databases and storage. For some applications, these might be across various clouds (multi-cloud).
Typically IT teams end up needing to learn, configure, manage and integrate multiple monitoring tools. More than likely even after doing all that they will still struggle to get end-to-end visibility of the infrastructure they are expected to optimize. This jumble of uncooperative management and monitoring tools results in an inefficient use of your IT resources, generating little or no business value. Teams are forced to manage long triage calls, have no user-centric visibility to speak of and are constantly at risk for over- or underutilizing cloud resources.
IT Operations team need to leverage a single solution that provides unified analytics across their entire infrastructure and delivers the visibility they need. Through this visibility, they can intuitively and efficiently track status, monitor performance, spot trends, correlate metrics and more.
Contextual Log Analytics
Once teams have unified analytics implemented, they can identify where the issue lies e.g. system vs. storage or cloud vs. on premise infrastructure. What they still don't know is why it happened or what caused it. This intel typically resides within log files spread across the infrastructure tiers.
Automatically aggregating and normalizing event data from log files across different sources enables IT staff to easily perform root cause analysis. But to be truly proactive they need contextual alerts or reporting that correlates performance and log data to provide relevant insights.
Contextual log monitoring and analytics automatically provide relevant log events against performance alarms for proactive issue resolution. This contextual intelligence helps IT teams dramatically boost infrastructure experience and optimize key resources.
Want to learn about these analytics and more? Join us for a great analytics focused event with industry experts and peers next week. Best of all, you can join us from the comfort of your office. Please register here.
Umair Khan is Product Marketing Manager for Infrastructure Management Solutions at CA Technologies.