DevOps & Cloud Engineering Services

Automate deployments, modernize cloud infrastructure, and improve reliability with CI/CD, Infrastructure as Code, observability, and cloud engineering built around your delivery workflow.

SERVICES
0
6 healthy · 1 degraded
PIPELINES
0
3 running today
INCIDENTS
0
active
CLUSTER CPU
0%
avg across 4 nodes
UPTIME
0.0%
30d rolling
CPU66%
MEMORY81%
NETWORK I/O33 MB/s
DISK IOPS84k
// SERVICE HEALTH
healthydegradedcriticaloffline
ServiceStatusLatencyRPSUptime
api-gatewayhealthy12ms4.2k99.98%
auth-servicehealthy8ms1.8k99.99%
user-servicedegraded340ms0.9k99.1%
payments-corehealthy21ms0.3k100%
notification-svchealthy5ms2.1k99.95%
analytics-workercritical1.2s0.1k97.4%
storage-proxyhealthy15ms3.6k99.97%
ml-inferenceoffline00%
// NODES
node-0118/36 pods
us-east-1a
CPU62%
MEM74%
node-0227/36 pods
us-east-1b
CPU88%
MEM91%
node-0312/36 pods
us-east-1c
CPU31%
MEM45%
node-0420/36 pods
us-west-2a
CPU55%
MEM60%

Built for reliable delivery

Our DevOps services automate software delivery, standardize cloud infrastructure, improve production reliability, and control cloud costs as your product scales.

CI/CD pipelines

Build, test, and deploy on every merge with automated CI/CD pipelines across GitHub Actions, GitLab CI, Jenkins, and your existing delivery workflow.

automation runner
commit
build
test
deploy

Infrastructure as Code

Manage AWS, Azure, and GCP cloud infrastructure with Terraform, creating environments that are reproducible, reviewable, and easier to roll back.

unified platform
cloud
cluster
registry
secrets
logs
alerts
1 control plane6 integrations

Observability & SRE

Implement monitoring, logging, alerting, and incident runbooks to improve production visibility, detect issues earlier, and respond faster.

observabilitylive
p95112ms
uptime99.99%

Cloud cost optimization

Right-size cloud infrastructure and review architecture to reduce unnecessary spend while maintaining application performance, scalability, and reliability.

release iterations
lead time −38%change failure 0.4%

How it works

A practical path from infrastructure review to automated delivery, with reliability and observability built in from the start.

01Assess your infrastructure
02Prioritize what to fix
03Automate and optimize
04Monitor and improve

01.Assess your infrastructure

We review your cloud environment, deployment process, CI/CD pipelines, reliability gaps, monitoring, and operational bottlenecks.

service.ts
1const pipeline = defineFlow({
2 stages: ['build','test','deploy'],
3 runtime: 'node22',
4})

02.Prioritize what to fix

We identify the highest-impact improvements across infrastructure, delivery automation, observability, and cloud costs, then define a clear implementation plan.

test suite
578 assertionscoverage 94%

03.Automate and optimize

We implement CI/CD improvements, Infrastructure as Code, monitoring, and infrastructure changes directly within your existing engineering environment.

rollout20%
canarypending
eu-west-1pending
us-east-1pending

04.Monitor and improve

We validate production performance, strengthen alerts and operational visibility, and continue optimizing reliability, scalability, and cloud efficiency.

monitoring
rps 2400err 0.01%

Outcomes, not activity.

We measure DevOps by business impact rather than the number of executed tests.

Bluefin
Read Story
RawCaster
connectshareexpress
Read Story
Bykea
Read Story

Ready to ship faster with confidence?

Talk to a DevOps engineer about your cloud infrastructure, CI/CD pipelines, and observability.