By Ram Kumar, Product Marketing Specialist, Zoho Corporation
You’ve heard it countless times before; modern IT is complex, dynamic, and heavy with microservices and containerized deployments. From the perspective of your IT teams, whether they’re DevOps or site reliability engineering professionals, everyone needs a unified, intelligent, context-rich, and comprehensive observability suite to pool various metrics into a single dashboard for effective monitoring, troubleshooting, and proactive decision-making. Choosing the right observability platform is crucial, as it has a major impact on your organizational efficiency.
Beyond the primary need to pool metrics, traces, and logs from a distributed IT infrastructure spread across hybrid cloud deployments is the need to make the most sense of it. IT teams must choose an observability platform that can provide context amid the clutter, clarity amid the deluge of alerts, and correlation between seemingly disconnected data. More than the above factors, IT teams ultimately deserve the peace of mind from not having to answer misleading or false alerts so that they can focus on what truly matters.
Less is more, and intelligence begins with discernment. With Site24x7’s AIOps (artificial intelligence for IT operations), you get notified only when it matters. With minimum inputs and as little as two weeks of historical data, Site24x7’s AI can start predicting the performance of your websites and applications and perform automated remediation to cut downtime proactively.
To ensure zero false alerts, Site24x7:
- Doesn’t rush to report a web or app outage unless it verifies it from alternate locations. A website is reported as down only after the outage is confirmed from a second location.
- Provides screenshots to mark the event from various locations and access points when capturing website downtime. This provides immutable evidence that an IT manager can trust on which to base further actions.
- Studies all the parameters that IT operations managers use in decision-making, helping managers make faster, better, and more proactive decisions. For example, app code, geographical data, event logs, and NetFlow metrics are all studied over time to spot emerging trends. Based on these trends, you’ll know when it’s time for proactive maintenance, such as expanding storage and computing power, performing automated restarts of containers whenever needed, purging logs to make space, and so on.
While AI engines can perform all the above, corrective action is sometimes done with manual intervention in high-risk cases, especially destructive activities such as purging logs. As the product evolves, more actions will be entrusted to AI, but it won’t be a complete handover, still requiring human judgment.
By studying usual seasonal surges like holiday shopping seasons, the weekend surge in traffic on booking sites, and annual sale events for e-commerce, etc., AIOps helps avoid flagging these as anomalies. This reduces alert fatigue on ITOps teams, so they can stay sharp and spot unforeseen surges that may indicate real trouble. With AIOps, thresholds are dynamic and are based on the business’ status overall, considering various factors and not just hedging bets on a single spike.
Site24x7 is a full-stack IT observability platform that uses the power of AI to ensure there are no false alerts, providing your IT teams with peace of mind. Site24x7’s AI can start functioning with the bare minimum in monitoring data history, which could be as little as four weeks of observed data.
Visit Site24x7.com for more info.
