Agentcraft®
Start free trial

Employee experience · Preview

Site Reliability EngineerKeeps your systems healthy. Tests how they recover.

Continuously monitors health, CPU, RAM and disk performance. Simulates failures in an isolated reliability environment. Finds bottlenecks and single points of failure; plans improvements with the CEO.

Explore this rosterExplore tasks & tools
Site Reliability Engineer
Agentcraft®Site Reliability Engineer

Reliability before the incident

Knows your system. Learns from incidents.

Carries service objectives, dependencies and lessons from drills into the next check. You manage what it remembers.

Share your service objectives and dependencies

Define availability, latency and recovery objectives, resource limits and the isolated reliability environment. Your SRE learns how services depend on each other and what past incidents revealed.

LEARNS FROM YOUR WORK
My SRELearns from working with you

“We agreed that recovery is complete only after service health and data consistency are verified. Shall I keep that criterion for future drills?”

Example conversation. Your choice is only used in this preview.

A conversation is enough

Ready-to-use task examples

Ask about service health, resource pressure or disaster readiness. Your SRE answers with measurements, evidence and the improvements that matter next.

How healthy are our systems?

You

Summarize service health for the last 24 hours. Compare availability, errors and latency with our targets.

My SRE

Availability is within target, but API latency exceeded its threshold during peak load. I separated the affected time window from the daily summary.

Service health · Last 24 hours

  • Availability · 99.95% successful checks against a 99.9% daily target.
  • Errors · 0.2% of API requests returned server errors, below the 0.5% threshold.
  • Latency · Peak-hour p95 was 640 ms against a 400 ms target; investigate disk and database wait times.

Analyze the performance bottleneck

Software Engineer

I see slow responses in the affected flow. Compare CPU, RAM and disk metrics with traffic and queues; identify the limiting resource with evidence.

My SRE

The strongest evidence points to database I/O wait rather than CPU capacity. The measurements cover the same peak-load interval.

Capacity review · Peak-load interval

  • CPU and RAM · CPU peaked at 48%; memory stayed at 62% with no observed swapping.
  • Disk · Space is 71% used, but write latency and queue depth rise together with API latency.
  • Next step · Compare slow queries and disk throughput limits under a repeatable load test before choosing a capacity change.

Are we ready for a disaster?

You

Summarize the latest failure simulations from the reliability environment. Which recovery targets passed, which failed and what was not tested?

My SRE

Two of three scenarios met their recovery targets. Worker loss took too long, and a full regional outage was outside this drill’s scope.

Disaster readiness · Drill results

  • Passed · Application restart and temporary dependency latency recovered within the agreed limits.
  • Failed · Random worker loss recovered in 7 minutes against a 5-minute objective; synthetic data remained consistent.
  • Scope · Isolated environment only. Regional failover and production recovery have not been demonstrated by these results.

Evaluate single points of failure

Software Architect

I mapped the service dependencies. Review single points of failure and redundancy, and identify improvements we should bring to the CEO.

My SRE

The queue has a single active node without verified failover. Its loss stopped order processing in the drill, making it the first resilience priority.

Single points of failure · Priorities

  • Impact · Orders cannot move to workers while the queue is unavailable.
  • Current protection · Backups exist, but restore time exceeds the recovery target; backups alone do not provide availability.
  • Plan proposal · CEO prioritizes a redundancy design with Architect and Engineer, with failover and consistency checks as acceptance criteria.

Analyze the latest outage

CEO

I need evidence to prioritize work after the outage. Analyze logs, metrics and release history; separate confirmed causes from hypotheses and propose preventive work.

My SRE

Connection-pool saturation coincided with growing request queues. A recent change may have increased query time, but timing alone does not establish causation.

Incident review · Evidence and next steps

  • Timeline · 14:05 latency rose; 14:08 requests began timing out; 14:18 the queue returned to normal.
  • Evidence · Pool usage stayed at its limit while CPU remained below 50%.
  • Investigation · Reproduce the load with Engineer and compare query traces across releases before confirming the root cause.

What is our recovery plan?

You

Prepare the recovery plan for this service. Show the sequence, recovery objectives and how we will verify success; do not apply changes.

My SRE

I prepared a recovery proposal with explicit entry conditions and verification steps. No production actions have been taken.

Recovery plan · Review proposal

  • Preparation · Confirm the affected scope, recovery point and approved service version.
  • Sequence · Restore the dependency, recover the service and resume processing only after consistency checks.
  • Acceptance · Compare recovery time and data loss with agreed objectives, then verify health and queued work before closure.

Fictional conversations and sample results. This preview does not start tasks or connect your accounts.

Metrics, incidents and recovery evidence

Can use many tools for you

Connects infrastructure metrics, application errors, release history and reliability work to explain service behavior.

  • AWSRelease context
  • SentryErrors & diagnostics
  • GitHubCode & reviews
  • JiraTasks & acceptance criteria

Define monitoring thresholds and the isolated reliability environment. Failure injection stays within the agreed test scope; production changes follow your authorization. Connections shown are previews.

A conversation it starts

Proactive. Finds weaknesses before an outage.

Continuously monitors health, performance and resources, raises actionable alarms and exercises disaster scenarios in its isolated reliability environment. Brings bottlenecks and single points of failure to the CEO with concrete improvement proposals.

Monitors health and resource performance

Follows CPU pressure, RAM usage, disk space, I/O latency and service objectives; raises alarms using agreed thresholds and durations.

Simulates failures in its reliability environment

Injects randomized interruptions and faults within predefined bounds in an isolated environment, tests disaster scenarios and measures recovery.

Finds bottlenecks before saturation

Correlates traffic, CPU, memory, disk throughput and queues to identify capacity pressure and test improvement options.

Gets resilience improvements into the CEO’s plan

Identifies single points of failure, explains business impact and follows proposed improvements through prioritization, ownership and verification.

You choose the topics, how often it reaches out and when you’d rather stay quiet.

MOBILE APP · EXAMPLE MESSAGES
14:32
A message from your SRE.
My SREexample

Disk latency is affecting response times

Disk write latency and API p95 have exceeded their thresholds for ten minutes. CPU is stable, but the I/O queue is growing. I raised an alarm with the affected service and investigation steps.

My SREexample

The recovery drill missed its target

The randomized worker-loss drill recovered in seven minutes against a five-minute target. Test data remained consistent. I recorded the scenario seed and evidence so the team can reproduce the result.

My SREexample

The queue grows before CPU peaks

Load tests show the database connection pool saturates before CPU does. Adding workers alone will not address this bottleneck. I prepared a pool and query review for the team.

My SREexample

A single dependency needs a resilience plan

The drill showed that losing the only queue node stops order processing. I sent the CEO the impact, redundancy options and verification criteria. I will track the planning decision and assigned owner.

Separate examples of the planned experience, shown together. This preview does not send messages or notifications.

Your proposed roster

Reliability expertise in Enterprise

Bring monitoring, recovery exercises and resilience planning together with your Enterprise team.

Enterprise

12 employees
$399 / month$200 AI budget included

Proposed packages · Preview only. Extra usage is billed separately; the rate is not yet defined. Exploring a package does not start checkout or change a subscription.

Keep exploring

CEO

Meet your next employee

CEO

Turns your goals into priorities, coordinates your employees and keeps delivery on track.

Auditor

Meet your next employee

Auditor

Reviews records and processes, gathers evidence and makes audit findings visible.

Scrum Master
Jira
Google Calendar
GitHub
AWS
Figma
Gmail
Google Ads
HubSpot
CEOSoftware ArchitectSoftware EngineerContent CreatorPersonal AssistantGrowth ManagerCustomer PartnerQA Engineer
Employees + integrations · Planned experience

A team of 12

Enterprise package

Your SRE works with the CEO to prioritize resilience improvements and with Auditor to make recovery evidence reviewable. Enterprise brings the full roster together.

Agentcraft®

Build confidence before the next incident.

Explore packages