DevOps.
Why good software is no longer enough today – and what DevOps is changing
DevOps
Friday, 4:45 p.m. Deployment time.
Three years ago, our customer needed four hours to do this. Today: 10 minutes. What has changed? Not the team. The system.
The numbers speak for themselves
According to the latest DORA DevOps Report 2025, the ideal change failure rate (Baytech Consulting) is between 0% and 2% – representing top performance in software delivery. The reality? Only 8.5% of teams actually achieve this benchmark (Baytech Consulting).
But here’s where it gets interesting: teams with microservices deploy 46 times more often and fix issues 96 times faster, according to Devopsbay. 74% of companies have already implemented DevOps – an increase of 47% in just five years.
The question is no longer whether DevOps works. The question is: what does it cost NOT to use DevOps?
What DevOps actually solves: The four critical pain points
Problem 1:
Deployments take too long
Typical scenario: Your team needs 4 hours for a release. Not because the code is complicated, but because every step is done manually—and because the build infrastructure is unstable or the target infrastructure was simply not designed for the actual requirements.
What should theoretically be a rolling deployment becomes a test of patience in practice. The result: releases become less frequent, the effort per deployment increases—and so does the risk.
Our solution: Continuous Integration & Delivery
According to Baytech Consulting, 16.2% of elite teams deploy several times a day or on demand. This is not magic—it is a CI/CD pipeline that works.
Specifically, this means:
Automatic testing with every commit
Parallel builds
Deployment at the touch of a button
Automatic rollback strategies
The result: 4 hours become 10 minutes. Automatically. Repeatable.
Problem 2:
Testing happens too late
Tests only before release? Elite performers achieve a change failure rate of 5%, high performers are at 20%. The difference? Continuous testing.
Our solution: Testing as part of development
Three levels:
Unit tests – Does the individual component work?
Integration tests – Do the components work together?
UI/acceptance tests – Does the system work from the user’s perspective?
The result: Bugs are found early on. Where they are cheap to fix. Not in production.
Problem 3:
Feedback takes too long
Weeks pass between the idea and the release. Sometimes months.
Our solution: Fast feedback loops
Elite teams achieve 127× faster lead times from commit to deploy, 182× lower change failure rates, and deploy 8× more frequently per year.
How we achieve this:
Small, incremental changes (no monster releases)
Feature flags (roll out features step by step)
Trunk-based development (no long-lived branches)
Automated pipelines (no manual overhead)
Typical starting point: 2–4 weeks cycle time
After DevOps optimization: 1–3 days
Problem 4:
No one dares to change anything
The code is fragile. Any change could break something. The result? Technical debt accumulates.
Our solution: Trust through automation
21.3% of teams can recover from failed deployments in less than an hour. When tests run automatically, the fear of change decreases.
The result: Your team starts experimenting again. Innovation becomes possible.
The ROI: What does it cost NOT to use DevOps?
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In its white paper “The ROI of DevOps Transformation,” Google estimates that the annual savings for medium to large technical organizations range from $18.8 million to $231.3 million. Most companies see their infrastructure costs drop by 20–30% in the first year, according to Gearset – simply by no longer wasting resources on poorly configured systems and manual processes. But the biggest ROI? Trust. In your own code. In the pipeline. In the releases. And: happier developers. Who are no longer nervous on Friday evenings. |
The hard parts: What is often forgotten
DevOps is more than just building pipelines. The real challenges are:
1. Culture before technology
Psychological safety—where team members feel safe to take risks and express concerns—is one of the strongest predictors of software delivery performance, according to eSparkBiz. Tools alone do not solve problems. The mindset must be right:
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2. Security in the pipeline (DevSecOps)
According to Devopsbay, DevSecOps is a top initiative for 56% of teams. Security is not an extra step at the end. It is part of the pipeline:
Automatic. Before code goes live. |
3. Monitoring & Observability
It is not enough for code to be deployed. You need to know:
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Why EPS? Because we solve problems, we don't sell tools
Installing DevOps tools is easy. Solving the right problems is hard. The CI pipeline builds, tests, and deploys; Jira tracks; Slack notifies—and yet much of it is still done manually. That’s because there’s a gap between the tools: no end-to-end process, no real automation that connects everything. Each system works on its own – the rest remains prone to errors.
What sets us apart:
We understand your business => Before we build a pipeline, we understand: What is your critical path? Where are your risks? What currently costs you the most time/money?
We bring expertise, not just implementation => Over 50 years of software engineering experience. With customers such as Bühler, Leica Geosystems, and Bernina. We have seen what works.
We are pragmatic => No over-engineering. No “best practices” for the sake of best practices. You don’t need Kubernetes orchestration for 3 services. We’ll tell you that.
We are local => Eastern Switzerland. Local presence. Short distances. Personal contact. No offshore outsourcing. Swiss quality. For over 50 years.
How to get started: 3 concrete steps
You don’t have to turn everything upside down tomorrow. DevOps is a journey.
Conclusion
DevOps solves real problems—it makes deployments boring, predictable, and reversible.
So the question is not whether we can afford to introduce DevOps, but whether we can afford NOT to.
Next step: Initial analysis
We take a look at your current processes. Free of charge. No obligation.
In 1–2 days, we identify:
- Your biggest bottlenecks
- Quick wins (0–3 months)
- Long-term roadmap (3–12 months)
Quellen
https://www.devopsbay.com/blog/dev-ops-statistics-and-adoption-a-comprehensive-analysis-for-2025
https://www.baytechconsulting.com/blog/the-state-of-devops-in-2025
https://scalr.com/learning-center/key-devops-metrics-you-should-be-tracking-in-2025/
https://gearset.com/devops-report/2025/
https://www.esparkinfo.com/blog/devops-statistics
