A common misconception in IT and platform administration is that the most effective support teams are the “firefighters”—the heroes celebrated for fixing critical, middle-of-the-night outages.
While we certainly have the skills to put out fires, at Selerity, the actual goal should be to prevent the spark from ever catching. We prefer to be “Fire Prevention Officers.”
Why? Because everyone hates downtime. And more often than not, the downtime that causes the biggest headaches is entirely preventable.
Take a recent scenario we encountered. An internal team responsible for OS patching skipped a crucial step: testing and validation. They pushed the patch and moved on. Had they performed the standard validation checks, they would have immediately detected that their SAS environment had stopped functioning because the patch inadvertently triggered a server name change.
The result? The afternoon was unnecessarily stressful. A key analytics platform failed, frustrating users and requiring our ‘firefighters’ to rush to fix what should have been a simple, non-event incident.
It is not the most glamorous part of platform administration, but a rigorous patching schedule is the bedrock of stability.
Think of patching as the immune system of your analytics environment. It keeps your system resilient against security threats and breaches. But beyond security, regular patching enhances performance and reliability. It resolves compatibility issues before they break your workflows and fixes underlying bugs that—while perhaps not critical yet—are causing your system to run poorly.
At Selerity, we don’t view patching as a chore to rush; we see it as a critical maintenance protocol that protects your investment.
When an alert inevitably comes in, the difference between “support” and “managed services” lies in the triage process. We don’t just restart the service and close the ticket. We look for the smoke.
Our approach analyses every alert through:
A detailed analysis of the data accompanying an alert often reveals that what appears to be a minor “glitch” is actually an early sign of a larger, emerging issue. Addressing the problem at this “smoke” stage prevents it from escalating into a full-blown “fire.”
The ultimate goal of our Managed Services is to resolve tickets before you even know they exist. This is where automation does the heavy lifting.
We set alert thresholds at granular levels across different parts of the system. We aren’t just monitoring for “System Down”; we are monitoring for “Disk Space at 70%” or “Memory Usage Spiking.”
When these thresholds are met, automated workflows are triggered, or our engineers are prompted to intervene proactively. Actions like clearing logs, allocating additional resources, or rebalancing the load can then be taken to ensure your data scientists can continue their work without any interruption.
There is an old saying in our industry: “The best support is the kind you don’t notice.”
It means maintenance, patching, triage, and management are happening seamlessly in the background. It means potential issues are neutralised before they impact a single user.
When you partner with Selerity, you aren’t paying us to fix things when they break. You are paying us to ensure they don’t break in the first place. We give you the luxury of taking your platform for granted, so you can focus on what matters: your data.
You hired your data experts to build models, not reboot servers. Let Selerity handle the complexity of your SAS environment so your team can focus on the insights.