Log Analysis
Parses noisy logs into ranked signals.
STREAMINGCustom AI SRE Solutions, Tailored for your
Production Environment.
DataTroops investigates incidents for you: AI agents run inside your infrastructure reading logs, correlating deploys, and finding root cause in minutes with systems engineers handling the edge cases. Less on-call, more shipping.
Metrics Correlation
Links spikes across every service.
REALTIMEIncident RCA
Root cause in minutes, not hours.
P95 4 MINDeploy Correlation
Ties regressions to the exact release.
CI-LINKEDAuto Remediation
Runbook actions behind guardrails.
APPROVAL-GATEDPattern Memory
Recalls every incident you have had.
PERSISTENTVPC-native
Runs entirely inside your own cloud.
NO EGRESSDeployed in your environmentYour telemetry never leaves your cloudBuilt by JVM, Kafka & functional-programming engineers
Every alert kicks off the same ritual: someone drops what they’re doing, opens four dashboards, greps three log systems, checks what shipped recently, and rebuilds from scratch a diagnosis the team has already done a dozen times.
>50% spent locating
Diagnosis is where the time goes
Finding the cause takes hours; the fix takes minutes. Across the teams we analyze, more than half of resolution time is spent just locating the problem, not solving it.
Locate · 4h 10mFix · 12m
Senior time burned
Your best people pay the highest price
Hard incidents escalate upward, so your most expensive engineers lose their weeks to support toil while the roadmap quietly slips.
Escalation loadBy tier
L1 support
L2 on-call
Senior / staff
Known patterns, re-solved
The same incidents keep coming back
Kafka consumer lag. Connection-pool exhaustion. Month-end OOMKills. Known patterns, re-diagnosed by hand every time because the playbook lives in one senior engineer's head.
Same root causeLast 90 days
20:1 noise ratio
Alert noise has trained your team to look away
When 20 alerts fire for every real incident, on-call stops trusting the pager. Eventually a customer spots the outage before you do. By then, the real problem isn't the outage—it's alert fatigue.
Alerts fired1 real incident
This isn’t a discipline problem. It’s an automation problem and it’s finally solvable.
An AI teammate that investigates.
Engineers who close the loop.
The moment an alert fires, our agent starts investigating inside your infrastructure, on your data, before a human even looks.
Investigates Like Your Best Engineer
Pulls the relevant logs, metrics, and traces, checks what deployed in the last hour, and compares against every past incident — running the diagnostic path your senior engineer would, in minutes, at 3 AM, without waking anyone.
AutonomousDelivers Evidence, Not Guesses
Posts a root-cause analysis to Slack with the receipts attached — log lines, query plans, deploy diffs, lag graphs — and drafts the Jira ticket with repro steps. You see why, not just what.
Receipts attachedActs Only With Your Approval
Two permission tiers, always. Investigation is autonomous and read-only; any remediation — restarts, query kills, traffic shifts — waits for one-click approval, with a full audit log of evidence, reasoning, and approver.
Approval-gatedBacked by Real Engineers
The ~25% of incidents that actually matter escalate to our pod — systems engineers with deep JVM, Kafka, Scala, and Rust experience. AI handles the recurring; humans handle the rare.
Managed podWhy Not Just Buy an AI SRE Tool?
You can, and for some teams, a SaaS tool is the right call. We're built for the teams where it isn't.
02
Your Stack Is the Hard Kind
JVM services, Kafka pipelines, Spark jobs, custom Scala systems. Off-the-shelf tools are trained on generic web-service incidents. They stall exactly where your incidents are worst.
01The one that matters most
Your Telemetry Can't Leave
Fintech, payments, regulated data. Our agents deploy fully inside your VPC (self-hosted, zero data egress) with redacted LLM context — or a fully self-hosted model if compliance demands it. It's built for regulated environments from the ground up, not retrofitted after the fact.
Zero data egressYour VPC · Your Cloud Account
LogsRaw
MetricsRaw
DataTroops agentsIn-cluster
Nothing raw crosses this boundaryRedacted context only, if you enable it
03
Nobody Has Time to Run Another Tool
AI SRE platforms still need someone to integrate, tune, and act on findings. We're a managed service: we run the agents, tune the agents, and answer the escalations.
04
A Fraction of a Hire, Not an Enterprise License
Our managed pods cost less than the support engineers you'd otherwise hire — and far less than the roadmap time you're currently burning.
Two senior SRE hiresBaseline
SaaS AI SRE licence + the person to run it~60%
DataTroops managed pod~30%
Assessment reportSample output
Window analysed
90 days
Jira · PagerDuty · Slack · observability stack
Where the hours go
Diagnosis
Coordination
Actual fix
Automatable share
Top recurring patterns
Consumer lagPool exhaustionOOMKillCert expiry
Diagnosis eats 78% of the clock. The fix itself is usually fast — almost all the time is spent finding it, not doing it.
You get · Fixed price · useful even if you never hire us again
Pilot scorecardSample output
Patterns targeted
Kafka consumer lagAgent live
Connection-pool exhaustionAgent live
Month-end OOMKillAgent live
Mean time to diagnosis
Before
4h 10m
Pilot
18m
Agreed in writing before startYour baseline
13x faster, on patterns you chose.Nothing goes live against traffic you haven't already agreed to hand over.
You get · You measure the results yourself
Coverage over timeSample output
L1/L2 handled by pod
86%
Expands month over month
Your team is paged for
Genuinely novelArchitectural
Monthly coverage
M1M6
Coverage compounds, it doesn't plateau. Every pattern the pod resolves cleanly becomes one your team stops carrying at all.
You get · Monthly reporting on coverage, accuracy & hours returned
Embedded Engineering
Real senior engineers, on your team
Need the humans
without the agents?
Our AI SRE engineers help monitor, investigate, and optimize your production systems. Vetted profiles in your inbox within 48 hours.
AI SREBackend DeveloperData Engineer
Your team
Embedded engineers
Built and operated, not just shipped
Engineers first. That's the whole point.
DataTroops is an engineering company. Our team has spent years building and operating mission-critical production systems using Scala, Rust, and the JVMtechnologies across trading platforms, payment systems, and large-scale data pipelines. We built our AI SRE platform because we've experienced the challenges of on-call engineering firsthand.
ScalaRustJVM
Trading platforms · Payment systems · Data pipelines
Find out what production support actually costs you.
The assessment takes 2–3 weeks, needs only read-only API access, and produces numbers from your own systems — not benchmarks.
Most teams are surprised. Some are horrified.
What the assessment includes
- 2–3 week turnaround, from kickoff to final report
- Read-only API access — nothing invasive, nothing to install
- Real numbers from your own systems, not industry benchmarks
- A detailed view of production support costs and automation opportunities
Fixed price · useful even if you never hire us againNo install
Questions engineers ask before they hand over production.
Four things every team wants settled first. If yours is not here, an engineer answers directly — not a form.
We take L1/L2 production support off your engineers. Our AI agents investigate incidents by reading your logs, traces, metrics, and past incident history to find the likely root cause, and our engineers verify, escalate, or resolve.
It's a managed service: we run the agents, tune the agents, and answer the escalations. You get outcomes, not another dashboard to babysit, and your team gets paged only for the genuinely novel.
AI SRE platforms still need someone on your team to integrate them, tune them, and act on their findings, usually your most senior engineer. We're a managed service, not a tool.
We own the setup, the tuning, and the escalations. You measure the results yourself: coverage, accuracy, and hours returned in monthly reporting.
Your telemetry never leaves your environment. Our agents deploy fully inside your VPC (self-hosted, with zero data egress, redacted LLM context) or a fully self-hosted model if compliance demands it.
It's built for fintech, payments, and regulated data from the ground up, so your logs and traces stay exactly where they already live.
You start with a Production Health Assessment: 2–3 weeks, read-only API access, and a fixed-price report with numbers from your own systems, not benchmarks. It's useful even if you never hire us again.
From there, managed pods cost less than the support engineers you'd otherwise hire and far less than the roadmap time your team is currently burning on firefighting.