Case study

case study
Problem

Hotfixing
140 servers
in 140 minutes

Our client faced the urgent challenge of hotfixing 140 SAS servers as quickly as possible to avoid prolonged downtimes. Minimizing downtime was crucial to prevent significant disruptions and maintain business continuity.

Skills
In-depth knowledgeof SAS components
Proficiency
in Python
Expertise
in Bash scripting
Experience
with Ansible
Solution

To address this challenge, our team developed an Ansible playbook to fully automate the hotfixing process. This comprehensive solution included:

Backups
Initiating backups to ensure data safety before any changes were made
Server Management
Systematically stopping each SAS server to prepare
for updates.
Post-Processing
Performing essential post-processing steps,
including reconfiguring, vrebuilding, and redeploying the mid-tier.
Pre-Processing
Executing necessary pre-processing tasks to ready the servers.
Hotfixing
Applying the hotfixes across all tiers, including the mid-tier.
Restarting Servers
Restarting each server to resume normal operations
Sanity Check
Conducting a final sanity check to verify all systems were operational and functioning as expected.
Results

This automated process reduced the total downtimeto under 140 minutes, ensuring minimal disruption and maintaining business continuity.

Key Takeaways
Efficiency:
Automation drastically cut downtime, enhancing operational efficiency.
Reliability:
Comprehensive checks ensured systems were fully functional post-update.
Expertise:
Our deep understanding of SAS and automation tools was criticalto success.

Why Choose Us?

With extensive experience in managing complex IT challenges, our team is equipped to deliver reliable, efficient solutions tailored to your business needs. Contact us to learn how we can help streamline your operations and reduce downtime.