You buy that shiny new PC or server – and configure it exactly how you like it. All applications and settings tailored to your preferences, and bam! Blinding speed. Instant responsiveness. The world is at your fingertips.
A few months later, the luster is lost. Things are dragging a bit. It takes a little longer to launch mission critical apps, your browser load bar seems sluggish, and more system requests seem to “beach ball”.
If you’re a savvy IT user, you know the obvious remedies to invoke: run your AV scanner, clear your caches, make sure your disk is defragged, etc.
But what if the IT asset is in the cloud – where the world of IaaS, PaaS, and SaaS stand between you and the visibility / control you need? If you don’t know which physical servers your application is running on, how will you find server-related root causes when performance issues occur? Understanding application performance from tier-based statistics is a challenge when applications share dynamically-allocated hardware resources. Further, since the cloud infrastructure landscape is always changing, resource mapping must continuously adjust dynamically for each application instance.
CAPM monitors resources that support application program performance in cloud environments – enabling systems and security operations (SysSecOps) administrators to quickly and easily identify and rectify poor application performance, in many cases before users even sense a performance downturn.
Typically, an agent is placed on the application server to monitor response time. CAPM then captures, analyzes and presents monitoring information – alert conditions and audit logs – to Cloud IT personnel – freeing them from the tedious and error-prone work of manual correlation and analysis.
The Ziften Approach
Through proactive insight, Ziften immediately surfaces all relevant system performance metrics – in advance of a user-detected degradation. IT gets advance warning that something is out of order, and presents the relevant current and historical look back information required to start the investigation at the most probable point of origin.
CAPM insights include:
- Top talkers per system process – the top ten to twenty processes in terms of CPU, memory and file I/O consumption
- Anomalous spike activity
- Network latency correlations to observed spikes
With Ziften, IT spends its precious time on rapid problem resolution – as opposed to time consuming big data search / analysis efforts required to locate root cause. And just as important, system and application-related performance issues can be run to ground without unproductive finger pointing.
Learn more about how enterprises can maintain cloud security and visibility: https://ziften.com/cloud-visibility-and-security/.