Automations and Playbooks

Managing IT operations manually can lead to inefficiencies, slow response times, and inconsistencies in handling incidents. Automation and Playbooks streamline system monitoring, incident response, and infrastructure management by integrating predefined workflows and automated actions.

At IAMOPS, we specialize in automating synthetic testing, incident response, and system operations to improve reliability, reduce downtime, and ensure fast and consistent issue resolution. Our solutions integrate with monitoring platforms, alerting systems, and CI/CD pipelines to enable self-healing infrastructure, automated alerts, and proactive issue detection.

How It Works

1

Comprehensive
Automation and Playbook Strategy Design

We begin by assessing your existing monitoring, alerting, and incident response workflows to identify tasks that can be automated. Our team designs customized automation and playbooks to ensure fast, reliable, and proactive issue detection and resolution.

Examples:

  • Identify synthetic testing scenarios (e.g., login failures, checkout disruptions) that require automated responses.
  • Define incident playbooks for resolving performance issues, security threats, and system failures.
  • Select automation tools like Datadog Synthetic Monitoring, AWS CloudWatch Synthetics or New Relic or Customized tests using AWS lambda or Azure Functions for synthetic test automation.
  • Design automated workflows to trigger alerts, log incidents, and apply remediation actions based on test results.
2

Automation and Playbook
Implementation

Our team implements and integrates automation solutions to proactively detect and resolve incidents, ensuring minimal manual intervention and faster resolution times.

Examples:

  • Automate synthetic test execution across different geographies and devices to proactively detect UI, API, and performance issues.
  • Implement automated alerts and incident workflows in UptimeRobot, ZenDuty, or Slack to notify the right teams about failures detected in synthetic tests.
  • Set up self-healing mechanisms that automatically restart failed services or roll back deployments when synthetic tests detect issues.
  • Integrate synthetic test automation with CI/CD pipelines to validate application health before and after deployments.
3

Ongoing
Automation Optimization and Support

Once automation and playbooks are implemented, we provide continuous improvements to ensure optimal efficiency, adaptability, and reduced false positives.

Examples:

  • Continuously update synthetic test scripts to reflect changes in application workflows.
  • Optimize automation logic to reduce unnecessary alerts and improve accuracy in detecting real incidents.
  • Expand synthetic test automation to cover more use cases, including network latency, API response times, and third-party service availability.
  • Provide training and documentation to enable teams to create and manage automation playbooks effectively.

Benefits

Faster and More Reliable Incident Detection

Automated synthetic testing continuously monitors application functionality, allowing for immediate detection of failures before they impact users.

Reduced Manual Workload

Automation eliminates the need for manual monitoring and troubleshooting, allowing teams to focus on high-value development and operations tasks.

Proactive Issue Resolution

By integrating automation with incident response workflows, we ensure that critical issues are identified and resolved before they cause disruptions.

Scalable and Adaptive Automation

Our solutions grow with your business, ensuring that monitoring, alerting, and synthetic testing automation evolve with your infrastructure.

Our success stories

Kubernetes cost optimization
Optimizing Kubernetes Costs with Kubecost and Karpenter on AWS EKS
IAMOPS helped optimize Kubernetes costs by integrating Kubecost for real-time cost monitoring and Karpenter for dynamic autoscaling on AWS EKS. This solution reduced infrastructure expenses by 30%, improved resource efficiency, and enabled data-driven decision-making with automated scaling and cost visibility.
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Jenkins Upgrade logo
Seamless Jenkins Upgrade for Enhancing Security, Performance and Cost Efficiency
IAMOPS successfully upgraded Virora’s Jenkins environment without downtime by implementing a seamless transition strategy. By leveraging AWS snapshots, WAR file upgrades, and plugin updates, the migration enhanced security, improved performance, and ensured continuous CI/CD operations.
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CI/CD for Data Migrations
Enhanced CI/CD for Data Migrations and Deployments in Core Back-end
IAMOPS streamlined Finariq’s CI/CD process by automating data migrations, integrating ArgoCD for application sync, and adopting a "Build Once, Deploy Everywhere" approach. The optimized pipeline reduced build times by 66%, eliminated manual intervention, and enhanced deployment reliability.
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AWS Graviton RDS
Migrating to AWS Graviton RDS for 25% Cost Savings and 20% Faster Queries
IAMOPS migrated the organization’s RDS instances to AWS Graviton, improving performance by 20%, reducing latency by 30%, and cutting operational costs by 25%. The transition enhanced scalability, security, and long-term efficiency.
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AWS Cost Optimization with Terraform
Strategic Resource Allocation and Cost Optimization on AWS Using Terraform
IAMOPS optimized Agrivon’s AWS infrastructure by consolidating load balancers, standardizing deployments, and restructuring ECS clusters, reducing operational complexity and costs. With Terraform-driven automation, the solution cut resource costs by 30%, improved deployment times by 40%, and streamlined cluster management by 50%.
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Reduce Latency with AWS Lambda
Reducing Data Synchronization Delays by 83% with AWS Lambda
IAMOPS implemented an event-driven solution using AWS Lambda and S3, cutting data synchronization delays from 30 to under 5 minutes, achieving 95% error reduction, and ensuring 99.9% system uptime.
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Automation of Testing Environments
Automating On-Demand Developer Environments for Preview and Testing
IAMOPS implemented automated, on-demand developer environments using AWS EKS, Helm, and Karpenter. The solution eliminated resource contention, improved team collaboration, reduced manual provisioning efforts, and optimized costs by stopping idle environments.
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Automating Puppeteer and CF-Scraper
Automating Puppeteer Version Check and CF-Scraper Deployment Using Jenkins
 IAMOPS automated Puppeteer version tracking, Docker image updates, and CF-Scraper deployment using Jenkins, reducing manual effort, accelerating deployments, and improving operational efficiency.
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Redash Migration to ECS Fargate
Redash Migration to ECS Fargate for Enhanced Performance and Reliability
IAMOPS migrated Sociavia's Redash application from EC2 to ECS Fargate, automating certificate renewal, improving query performance by 30%, and reducing status check failures by 90%, leading to greater reliability and operational efficiency.
Read More

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