AI-POWERED SRE

Agentic SRE Services

DevOps1's Agentic SRE Services leverage your existing GitHub Copilot licences to deliver enterprise-grade reliability engineering capabilities. Our AI agents work alongside your team to automate complex tasks, provide expert-level analysis, and accelerate your path to production excellence.

Augment Your SRE Practice

Enhance Your SRE Practice with AI Agents.

What Makes Our Agentic SRE Different?

Traditional SRE practices require significant manual effort and specialised expertise. Our Agentic SRE Services use AI to augment your team's capabilities, enabling them to:

  • Generate production-ready performance test scripts using natural language
  • Execute comprehensive load tests on AWS infrastructure
  • Receive intelligent analysis and actionable recommendations
  • Implement SLO monitoring and error budget management
  • Get expert-level insights without expanding your team
Agentic SRE Services

Core Capabilities

Our Agentic SRE Services provide three key capabilities that transform how your team approaches reliability engineering.

Capability 1

Natural Language Performance Testing

Describe your performance testing needs in plain English, and our AI agent generates production-ready test scripts automatically.

How It Works:
  • Describe: Tell the agent what you want to test (e.g., "Test our checkout API with 1000 concurrent users")
  • Generate: The agent creates optimised test scripts using industry best practices
  • Refine: Iteratively adjust parameters using natural language
  • Execute: Run tests on your AWS infrastructure or ours
Business Impact:
  • Reduce test script creation time from days to minutes
  • Eliminate the need for specialized load testing expertise
  • Lower barriers to comprehensive performance validation
  • Accelerate release cycles with rapid testing feedback
Capability 2

Intelligent Test Execution & Orchestration

Execute your performance tests on enterprise-grade AWS infrastructure with automatic scaling, monitoring, and real-time feedback.

Deployment Options:
  • Your AWS Account: Deploy directly into your existing infrastructure
  • DevOps1 Hosted: Use our managed AWS environment (ideal for teams without AWS presence)
  • Hybrid: Combine both approaches for different testing scenarios
Infrastructure Features:
  • Auto-scaling load generators that match your test requirements
  • Real-time monitoring and metrics collection
  • Automated resource cleanup and cost optimisation
  • Secure, isolated test environments
Business Impact:
  • Eliminate infrastructure management overhead
  • Pay only for resources used during testing
  • Reduce time-to-insight from hours to minutes
  • Enable performance testing at any scale
Capability 3

Expert-Level Analysis & Recommendations

Receive comprehensive analysis of test results with actionable recommendations from our AI agent, trained on SRE best practices.

Analysis Capabilities:
  • Performance Insights: Identify bottlenecks, latency issues, and throughput constraints
  • Reliability Assessment: Analyse error rates, failure patterns, and recovery behaviour
  • Capacity Planning: Recommendations for scaling and resource allocation
  • SLO Impact: How test results affect your service level objectives
Reporting Features:
  • Executive summaries for business stakeholders
  • Technical deep-dives for engineering teams
  • Trend analysis across multiple test runs
  • Comparison reports (before/after deployments)
Business Impact:
  • Make informed decisions without deep SRE expertise
  • Reduce mean time to resolution (MTTR) for performance issues
  • Improve release confidence with data-driven insights
  • Align technical performance with business objectives
Who Is This For?
  • Teams using GitHub Copilot looking to maximise their investment
  • Organisations with AWS infrastructure (or planning to use AWS)
  • Engineering teams that need SRE capabilities without expanding headcount
  • Companies accelerating digital transformation and cloud adoption
Key Benefits
  • Cost Efficiency: Leverage existing Copilot licences
  • Speed: Minutes instead of days for performance testing
  • Quality: Expert-level analysis without hiring experts
  • Scalability: Test at any scale without infrastructure concerns
  • Integration: Works with your existing SLO framework
Implementation Timeline

Week 1-2: Onboarding and GitHub Copilot integration
Week 3-4: First performance tests and analysis
Week 5-6: SLO alignment and ongoing optimisation
Ongoing: Continuous testing and expert insights

Pricing Model

Our Agentic SRE Services use a consumption-based model:

  • No additional licensing costs - uses your GitHub Copilot subscription
  • AWS infrastructure costs - pay only for resources used during testing
  • DevOps1 service fee - based on usage and complexity
Get Started with Agentic SRE

Getting Started

Begin your Agentic SRE journey in three simple steps.

1. Assessment

Book your free workshop

We evaluate your current reliability practices, GitHub Copilot usage, and AWS infrastructure to design a tailored Agentic SRE implementation plan.

  • Review current SRE and testing practices
  • Assess GitHub Copilot integration opportunities
  • Identify priority services and critical user journeys
  • Define success metrics and KPIs

2. Implementation

Our team works alongside yours to deploy Agentic SRE capabilities, configure test environments, and integrate with your existing SLO framework.

  • Configure GitHub Copilot for SRE workflows
  • Set up AWS test infrastructure
  • Create initial performance test suite
  • Integrate with monitoring and alerting systems

3. Optimisation

Continuous refinement and expansion of your Agentic SRE capabilities based on results, feedback, and evolving business needs.

  • Expand test coverage to additional services
  • Refine SLO targets based on data
  • Train team on advanced agent capabilities
  • Measure and report on business impact
Maximise your Copilot investment

Ready to transform your SRE practice with AI?

Talk to our experts about implementing Agentic SRE Services in your organisation and discover how AI can accelerate your reliability engineering.

Schedule a Demo
Contact DevOps1