Data centre running containerised workloads under CI/CD pipelines
Advanced DevOps services

Deploy on Friday afternoon, sleep on Friday night.

If your team treats a release like a fire drill, the problem isn't the release — it's the platform underneath. We build CI/CD, Kubernetes, Terraform, observability and on-call practice that turn deploys into a non-event. From deploy-per-quarter to deploy-per-hour, without the drama.

Docker · Kubernetes ArgoCD · GitHub Actions Terraform · Helm Prometheus · Grafana
deploy@softfix-prod: ~/gitops/app
pipeline live
$ git push origin main
→ pipeline #2481 triggered (softfix/app @ a7f3d2c)

✓ lint                 12.4s
✓ unit tests           2m 18s  · 428 passed
✓ build image          1m 04s  · app:a7f3d2c
✓ security scan        38s     · 0 critical
✓ push to registry     22s
→ argo sync staging       rolling 3 replicas
✓ staging healthy      6/6 pods ready
→ awaiting approval · prod
   approved by @priya.sre (2 min ago)
→ argo sync prod          canary 10% → 100%
✓ prod healthy         24/24 pods · 0 errors

deploy complete in 7m 42s · rollback available

Pipeline stages

lint → test → build → scan → deploy → verify
Free DevOps maturity audit A short report on what's holding deploys back
DORA-aligned Measured, not guessed Four metrics, tracked before and after
Zero-downtime Canary + blue/green Deploy in business hours, not midnight
Yours, fully Pipelines stay in your accounts No lock-in, no hosted-only platforms
DORA metrics — the four that actually matter

We measure DevOps the way Google's research says to.

Four numbers tell you whether your engineering team can move fast without breaking things. We baseline them on week one, then track them month over month.

01

Deploy frequency

How often you can ship to production, safely.

Per hour elite
02

Lead time for change

From first commit to running in production.

< 1 day elite
03

Change failure rate

How often a deploy causes an incident.

0–15% elite
04

Mean time to restore

How fast you recover when something does break.

< 1 hour elite
Reference pipeline

Eight stages, every commit.

The pipeline below is what we set up by default. Each stage has a purpose, a time budget, and a failure policy — nothing runs longer than it has to.

01

Commit & trigger

Push, PR, tag or schedule fires the pipeline. Path filters keep it fast.

≤ 2s

02

Lint & static analysis

Style, types, dead code, secrets. Fails fast, blocks the rest.

≤ 30s

03

Unit & integration tests

Parallel shards, cached dependencies, coverage gates on changed files.

≤ 5 min

04

Build & push image

Multi-stage Docker, SBOM, signed artifacts, tagged by commit SHA.

≤ 3 min

05

Security & policy scan

SCA, SAST, image scan, IaC policy. Fails on critical, warns on the rest.

≤ 2 min

06

Deploy to staging

Argo CD sync, rollout status, smoke tests, auto-rollback on failure.

≤ 5 min

07

Approval & canary

Manual gate for prod, then canary 10% with auto-rollback on SLO burn.

you decide

08

Verify & notify

Post-deploy checks, dashboards updated, Slack informed, changelog written.

≤ 3 min

DevOps & platform engineering services

Everything between "git push" and "it's live".

We're not a dashboard vendor. We design, build and hand over the platform your team runs on — then keep it healthy.

CI/CD pipeline development 01

CI/CD pipeline development

GitHub Actions, GitLab CI or Jenkins — with caching, sharding and fast feedback.

Kubernetes consulting 02

Kubernetes & container orchestration

EKS, GKE, AKS or self-managed. Networking, autoscaling, GPU workloads, upgrades.

Infrastructure as Code with Terraform 03

Infrastructure as Code (Terraform)

Modules, remote state, drift detection and policy-as-code — no more clicking through consoles.

Observability and monitoring 04

Observability (metrics, logs, traces)

Prometheus, Loki, Tempo, Grafana. OpenTelemetry end-to-end, SLOs and burn alerts.

DevSecOps security 05

DevSecOps & supply-chain security

SAST, SCA, image scanning, SBOMs, sigstore signing, admission policies.

Cloud infrastructure automation 06

Cloud infrastructure automation

AWS, Azure, GCP accounts set up as code with guardrails, budgets and tagging policies.

GitOps and ArgoCD 07

GitOps & progressive delivery

Argo CD, Flux, Argo Rollouts. Canary, blue/green, feature flags, auto-rollback.

SRE and on-call practices 08

SRE, SLOs & on-call practice

Error budgets, runbooks, alert hygiene, incident review templates that lead to real fixes.

Cost engineering in cloud 09

Cloud cost engineering (FinOps)

Rightsizing, spot, savings plans, autoscaling policies. Cost per team, per service, per customer.

Platform engineering 10

Internal developer platform

Backstage or custom portal so developers self-serve environments, deploys and secrets.

Legacy modernization to cloud-native 11

Migration to containers & K8s

VM-based apps lifted into images, then modernised in stages — no big-bang rewrite.

Managed DevOps and platform support 12

Managed platform & on-call support

Monthly retainer: upgrades, security patches, incident response and continuous improvements.

Before vs after

What changes when the platform stops fighting your team.

Before

The painful version

  • Deploys happen on Fridays, at night, with a phone bridge
  • Rollbacks mean "revert the commit and hope"
  • One person knows how the infra is wired up
  • Incidents take hours because no one has the full picture
  • Every AWS bill is a surprise
  • "We'll write tests after we fix this one"

After

The calm version

  • Merges go live automatically, in business hours
  • Rollbacks are one command, tested monthly
  • Infra is code, reviewed in PRs, reproducible
  • Incidents come with dashboards, traces and runbooks
  • Cloud spend visible per team, per service
  • Tests and scans block the merge, not the release
The stack we work in

Not religious about tools. Opinionated about outcomes.

We'll use whatever fits your team — but here's what we reach for most often, and why.

Docker

Containers

Kubernetes

Orchestration

Terraform

IaC

Argo CD

GitOps

GitHub Actions

CI/CD

GitLab CI

Pipelines

Prometheus

Metrics

Grafana

Dashboards

OpenTelemetry

Traces

Vault

Secrets

AWS

EKS · RDS · S3

Azure

AKS · DevOps

Google Cloud

GKE · Cloud Run

Helm · Kustomize

Packaging

PagerDuty

On-call

Infrastructure as Code

Every resource, written down and reviewed.

If a new engineer can't spin up a copy of production from your repo, your infrastructure isn't really code. Terraform modules, Helm charts, environment overlays — all reviewed in PRs like any other change.

  • Modules versioned and shared across teams

  • Remote state with locking, drift detection nightly

  • Policy-as-code blocks non-compliant plans (OPA / Sentinel)

  • Cost estimate shown on every plan, before apply

terraform/modules/eks/main.tf terraform
module "eks" {
  source          = "git::ssh://git@github.com/softfix/tf-modules//eks?ref=v4.2.0"
  cluster_name    = "prod-ap-south-1"
  kubernetes_version = "1.29"

  node_groups = {
    system = {
      instance_types = ["m6i.large"]
      min_size       = 2
      max_size       = 6
    }
    gpu = {
      instance_types = ["g5.xlarge"]
      taints         = [{ key = "workload", value = "gpu", effect = "NO_SCHEDULE" }]
    }
  }

  tags = local.standard_tags
}

resource "aws_budgets_budget" "monthly" {
  budget_type  = "COST"
  limit_amount = 5000
  limit_unit   = "USD"
  time_unit    = "MONTHLY"
}

$ terraform plan · 14 to add, 2 to change, 0 to destroy est. cost +$412/mo

DevOps maturity model

Where is your team today? Where should it be?

Most teams we meet are at level 2 or 3. Getting to 4 is usually a matter of months, not years — if the platform work is done properly.

  1. 1 Level 1

    Manual

    Deploys by hand, SSH into servers, no tests in CI.

  2. 2 Level 2

    Scripted

    Scripts, some CI, but envs differ and rollback is painful.

  3. Most teams
    3 Level 3

    Automated

    CI/CD, IaC, tests run. Deploys are still scary.

  4. 4 Level 4

    Measured

    DORA metrics tracked, canary deploys, SLOs, on-call runbooks.

  5. 5 Level 5

    Optimised

    Self-service platform, error budgets, cost-aware engineering.

Engagement models

Three ways to work with us on DevOps.

Some teams want a one-off platform build. Others want an embedded SRE team. We do both, plus the audit that tells you which you actually need.

Audit · 2–3 weeks

DevOps & platform audit

A written report on what's slow, risky or over-engineered — with a prioritised plan.

  • DORA baseline & gap analysis
  • IaC, security & cost review
  • Roadmap with effort/impact ranking
Fixed fee · free if you engage us after
Most common Platform build · 2–4 months

Design & build the platform

CI/CD, IaC, Kubernetes, observability, security guardrails — delivered in phases, handed over.

  • Reference pipeline in 4–6 weeks
  • Runbooks + on-call setup
  • Team training and handover
Quoted after audit
Retainer · monthly

Managed platform & SRE

Embedded SRE capacity: upgrades, security patches, incident response, continuous improvement.

  • Shared on-call escalation
  • Monthly platform review
  • Cost & reliability KPIs reported
Monthly, based on team size
FAQ

Advanced DevOps questions, answered straight

What does "advanced DevOps" actually mean?
Beyond a basic CI/CD pipeline: Kubernetes at scale, GitOps, IaC with policy, observability with SLOs, cost engineering and on-call practice. It's the difference between "we have a pipeline" and "we deploy confidently, in business hours, several times a day."
Do we need Kubernetes, or is that overkill?
Often it is. A small team shipping one or two services can go a long way with ECS, Cloud Run, App Runner or even plain VMs. We'll tell you honestly whether K8s is worth the operational tax for your shape of workload.
How long until we see a difference?
A reference pipeline usually runs in week 4–6. Full platform (K8s, IaC, observability) is 3–4 months. But you'll see deploys getting faster and calmer from the first phase — we build in the order that removes the most pain first.
Will you replace our existing tools or work with them?
We work with what you have unless there's a clear reason to change. Jenkins, GitLab, GitHub Actions, CircleCI, Azure DevOps — we've run all of them at scale. The goal is a better pipeline, not a new tool for the sake of it.
Can you help when an incident is happening right now?
Under a managed retainer, yes — you get an escalation path and our on-call engineers jump in. If you're not on retainer yet, we can still help with a scoped incident-response engagement; email us and we'll respond within an hour during business hours.
What about cost — will the cloud bill go down?
Usually yes, by 20–40% within the first quarter — through rightsizing, spot for suitable workloads, autoscaling and killing zombie resources. The bigger win is often that spend becomes predictable and visible per team, so budgeting stops being a guessing game.
Who owns the pipelines, IaC and dashboards?
You do. Repos, cloud accounts, container registries, secrets managers, dashboards, alerts — all in your accounts, all yours. No hosted control plane that we own and you rent from us.
Free DevOps audit

Tell us how deploys feel today.

A few lines is enough — stack, cloud, team size, and what's currently painful. We'll reply within a working day with a short plan and a fixed-fee audit proposal.

Email

sales@softfix.in

Phone

+91 81890 10044

Address

1st Floor, CP/140, Viraj Khand-4, Gomti Nagar, Lucknow, Uttar Pradesh 226010

NDA on request. Your infrastructure details stay private.

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