Managed services

We keep your platforms fast, stable and secure.

Cloud, infrastructure, DevOps, QA and release management run by the same senior engineers who build AI systems, with AI-assisted operations that catch problems before your customers do.

24x7 coverage SLA-backed Multi-cloud
labs-ops ~ production on-call
Availability--
Deploys0
MTTR--

What we run for you

Nine services. One accountable team.

Take the whole stack or just the parts that keep you up at night. Everything is run to clear SLAs and reported monthly.

01

Cloud Management & FinOps

Day-to-day operation of AWS, Azure and GCP estates, with rightsizing, reservations and cost anomaly alerts so your bill only goes down.

  • AWS
  • Azure
  • GCP
  • FinOps
02

Infrastructure & Platform Engineering

Infrastructure as code, Kubernetes platforms, networking and golden paths that let product teams ship without waiting on tickets.

  • Terraform
  • Kubernetes
  • IaC
03

DevOps & CI/CD

Pipelines that build, test, scan and deploy on every merge, with preview environments and one-click rollbacks.

  • GitHub Actions
  • ArgoCD
  • GitOps
04

Release Management

Release calendars, change approvals, feature flags and canary rollouts so launches are boring in the best way.

  • Change mgmt
  • Canary
  • Feature flags
05

QA Management & Test Automation

Test strategy, automated regression, performance and API testing, plus AI-generated test cases that keep coverage high as code grows.

  • Playwright
  • k6
  • API tests
06

SRE, Monitoring & 24x7 Support

Observability, on-call and incident response around the clock, with SLOs, runbooks and blameless post-mortems.

  • SLOs
  • On-call
  • Observability
07

Security & Compliance Operations

Vulnerability management, secrets, access reviews and audit evidence collection for ISO 27001, SOC 2 and RBI or SEBI audits.

  • DevSecOps
  • IAM
  • Audits
08

Digital Transformation & Modernisation

Moving legacy apps to the cloud, breaking monoliths into services and replacing manual processes with digital workflows.

  • Migration
  • Microservices
  • Workflows
09

Application & Data Platform Support

L1 to L3 support for business applications, data pipelines and ML models, with clear SLAs and monthly service reviews.

  • L1-L3
  • DataOps
  • MLOps

The command centre

What you see every day.

One live view of availability, delivery speed and what the team is doing, shared with your leadership.

Service availability

last 90 days
API gateway
99.95%
Web app
99.98%
Payments
99.91%
Data pipelines
99.95%
ML inference
99.98%
OperationalIncident, resolved

Deploys per week

before → after
BeforeWith Sunday Labs
8xmore frequent releases
70%faster recovery

Live activity

live
  • deploy #1482 promoted to production
  • autoscaled checkout-api 4 → 7 pods
  • cost anomaly: idle GPU node stopped
  • nightly regression: 1,284 tests passed
  • P2 resolved in 14 min · post-mortem filed
  • TLS certificates renewed for 12 domains
  • release 3.18 approved by CAB
  • critical CVE patched across 9 images

Illustrative dashboard. Metrics shown are representative targets for a typical engagement.

Service levels

Clear SLAs, measured and reported.

Typical targets for a fully managed plan. Every contract is tailored to your systems and business hours.

PriorityDefinitionFirst responseResolution target
P1
CriticalProduction down or data at risk
15 min
4 hrs
P2
HighMajor feature degraded, no workaround
30 min
8 hrs
P3
MediumIssue with a workaround available
4 hrs
3 days
P4
LowQuestions, minor bugs and requests
1 day
Next release

Already a client? Raise anything, at any priority, with support@sundaylabs.io.

Engagement models

Pick the level of support that fits.

Fully managed

We run it end to end

We own operations against agreed SLAs and outcomes. You get a named service manager and a monthly service review.

  • 24x7 monitoring and incident response
  • Outcome-based SLAs and reporting
  • Continuous cost and reliability improvement
Talk to us →

On-demand pods

Specialists when you need them

Senior pods for migrations, audits, performance tuning or release hardening, billed per sprint.

  • Cloud migration and modernisation
  • Test automation build-outs
  • Security and cost audits
Talk to us →

Onboarding

From handover to steady state in weeks.

A structured transition means no gaps in coverage and no surprises for your customers.

Always included

  • Named service manager and escalation matrix
  • Monthly service review with SLA reporting
  • Runbooks and documentation you own
  • Access through your SSO with full audit trails
  • NDA and data processing agreement as standard

Tools we operate

  • AWS
  • Azure
  • GCP
  • Terraform
  • Kubernetes
  • ArgoCD
  • GitHub Actions
  • Datadog
  • Grafana
  • PagerDuty
  • Playwright
  • SonarQube
01
Weeks 1 to 2

Assess

We learn your systems before we touch them.

  • Architecture, tooling and access review
  • Current incidents, costs and release pain points
  • Baseline metrics: uptime, deploy frequency, MTTR and cloud spend
02
Weeks 2 to 6

Transition

A structured handover with no gaps in coverage.

  • Runbooks, dashboards and alerting set up in your tools
  • Shadowing, then reverse shadowing with your team
  • Escalation matrix and communication channels agreed
03
Months 2 to 3

Stabilise

Quick wins first, then the deeper fixes.

  • Noisy alerts cleaned up and SLOs defined
  • Critical vulnerabilities and single points of failure fixed
  • CI/CD and test automation gaps closed
04
Ongoing

Optimise

Every month the platform should be cheaper, faster or safer.

  • Monthly service reviews with clear metrics
  • FinOps savings plans and rightsizing
  • Roadmap of automation and modernisation work

FAQ

Managed services questions.

Can you work with our existing tools and vendors?
Yes. We operate inside your cloud accounts, ticketing and monitoring tools, and can coordinate with other vendors you already use.
Do you provide 24x7 coverage?
Yes. Fully managed plans include round-the-clock monitoring and on-call. Co-managed plans can cover just nights, weekends or holidays.
How are SLAs measured and reported?
SLAs are tracked in your ticketing system and reported in a monthly service review, alongside uptime, deployment and cost metrics.
Can managed services include AI and data platforms?
Yes. We run data pipelines, warehouses and ML models in production, including monitoring for data quality, drift and model performance.

Hand us the pager. Sleep better.

Tell us about your stack and pain points. We will come back within one business day with a transition plan and a clear quote.