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ScienceSoft’s Approach to Automation in Managed IT Services

The balance between automated and manual processes is the backbone of ScienceSoft's pragmatic and cost-effective managed IT services.

ScienceSoft’s Approach to Automation in Managed IT Services - ScienceSoft
ScienceSoft’s Approach to Automation in Managed IT Services - ScienceSoft

Two Extremes We Avoid

Automate everything

Some MSPs promise 100% automation. But while automation can speed up many IT processes, human involvement is still essential. A monitoring tool can automatically allocate additional CPU cores every time a server's CPU usage exceeds 90%. But wouldn’t it be wiser to find the root cause of such upsurges and resolve it?

Do everything manually

In fear of incurring high automation costs or overlooking security vulnerabilities, some companies lean toward a manual approach to managing IT infrastructure. However, completely avoiding IT automation leads to hours of unnecessary manual work and poses a higher risk of human errors.

Our Answer: A Thought-Out Balance of IT Automation and Manual Work

ScienceSoft’s experience shows that the least downtime and the highest infrastructure performance are achieved only through the right balance of IT automation and manual efforts. Every IT infrastructure needs a tailored approach — here are some examples:

Can be fully automated

  • Regular software and infrastructure updates.
  • Data backup and recovery.
  • L1 help desk ticket routing.
  • Performance monitoring and resource scaling.

Requires manual efforts

  • Urgent infrastructure updates.
  • Complex network configurations.
  • Updating and patching critical systems (like servers hosting essential applications).

Needs a combination of both

  • Complex software and infrastructure updates.
  • Security incident monitoring and response.
  • L2-L3 help desk ticket routing.

Full Automation and Semi-Automation: Most Common Scenarios

Below, our consultants provide three examples of how we automate or semi-automate IT management tasks depending on the specifics of a given process.

Monitoring and alerting

Full automation: Performance monitoring

A performance monitoring system detects that several Windows services have stopped and some software functionality has become unavailable. The system restarts the services and alerts ScienceSoft's team about the incident.

Semi-automation: Security monitoring

A security monitoring system detects an incident via a cybersecurity monitoring tool and alerts our team. Our cybersecurity experts investigate the situation, identify the incident's root cause, and apply changes to the infrastructure to avoid similar incidents in the future.

Infrastructure change management

Automated infrastructure provisioning for software development

For companies developing software in-house, our DevOps engineers can integrate IaC (Infrastructure as Code) into the CI/CD pipeline. This approach helps:

  • Quickly set up delivery environments, from development to production.
  • Consistently reproduce configurations.
  • Integrate seamlessly with cloud providers and scale infrastructure resources up or down based on demand.

Semi-automation: Server provisioning for companies that haven’t adopted cloud-based resource scaling

In case of an increased server load that is expected to last, ScienceSoft’s team can suggest adding another server, indicating its possible type, environment, and other details. After the customer’s approval, a new server can be configured automatically using tools like Azure DevOps, Atlassian Bamboo, Jenkins, etc.

Help desk

Full automation: L1 ticket routing

Incoming tickets are routed automatically to suitable L1 support agents according to issue type and urgency. For example, a specific agent only receives user administration requests (creation/deactivation/modification of user accounts, adding/removing users from groups, etc.), while the other one only receives requests concerning software setup.

Semi-automation: L2-L3 ticket routing

L2 and L3 support teams automatically receive relevant tickets. However, due to their complexity, a support team lead manually escalates or allocates them to the right support engineer based on their expertise. For example, a change request ticket on updating Azure firewall rules will be manually assigned to a specific L3 engineer.

Discover How ScienceSoft Applies Automation in Diverse Managed IT Projects

Find Out the Optimal Degree of Automation for Your Case

Our team can provide a preliminary automation vision based on your infrastructure outline and IT needs.