18,3 mln zł w pół roku. Code & Pepper podpisuje drugi kontrakt z resortem finansów
Code & Pepper, software house z Suwałk, wygrał przetarg na rozwój i utrzymanie systemu EMCS PL2 nadzorującego obrót wyrobami akcyzowymi w Polsce i UE. Wartość nowej umowy z Centrum Informatyki Resortu Finansów to 11,9 mln zł brutto. We wrześniu ubiegłego roku spółka ogłosiła pierwszy kontrakt z CIRF, warty 6,45 mln zł.
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There is no shortage of devops tools list articles online. Most of them dump 50+ tool names into categories and call it a guide. That is not useful. Knowing that Terraform exists tells you nothing about when to use it, why it beats the alternatives, or how it connects to the rest of your pipeline.
This guide takes a different approach. We cover devops tools by the stage of the pipeline where they operate, explain what each tool actually does, and help you make choices based on your team size, stack, and industry. If you are a CTO evaluating your devops tooling, an engineer building a pipeline from scratch, or a startup founder wondering what tools are used in devops, this is the reference you need.
We also cover ai tools for devops, which have moved from experiments to production-grade capabilities in 2026, and devops testing tools that most guides treat as an afterthought. If you want the foundations first, read our guide on what DevOps is and DevOps best practices before diving into tooling.
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Most teams claim to do DevOps. Few do it well. The gap between having a CI/CD pipeline and running a high-performing delivery organisation is where devops best practices make the difference.
The 2024 DORA report found that elite teams deploy multiple times per day, recover from failures in under an hour, and maintain change failure rates below 5%. Low performers deploy monthly, take weeks to recover, and break 40% of their releases. Same tools. Wildly different outcomes. The difference is how consistently teams apply the devops practices and principles that actually matter.
This guide covers the practices and principles that separate those groups. Not a list of tools. Not theory. The specific devops activities and habits that produce measurable results in 2026. If you already understand what DevOps is, this is the next step: how to do it well.
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The devops lifecycle is a repeating loop of practices that connect how software gets planned, built, tested, deployed, and monitored. Unlike the old waterfall model where each stage happened once and moved on, the life cycle of devops is continuous. Code moves from a developer’s machine to production in hours, not months, and feedback from monitoring feeds straight back into the next planning session.
That loop is what makes DevOps different from traditional software delivery. Every phase generates data. That data improves the next iteration. The result, when done well, is faster releases, fewer production incidents, and teams that spend less time firefighting and more time building.
This guide breaks down every phase of the devops cycle, explains how the stages connect in practice, and shows where teams in regulated industries (FinTech, HealthTech) need to pay extra attention. If you need a broader overview of what DevOps actually is and where the methodology came from, start there. This article assumes you know the basics and want the operational detail.
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What Is MVP in Software Development? Meaning, Process, and Guide
An MVP, or minimum viable product, is the simplest version of a software product that can be released to real users. It includes just enough features to solve one core problem, collect user feedback, and validate whether the idea has a market before you invest heavily in full development.
That is the MVP definition in one paragraph. The rest of this guide covers why it matters so much, how the MVP development process works step by step, what it costs, what mistakes kill most MVPs, and how to build one that actually gets you to product-market fit.
The numbers make the case clearly. Around 90% of startups fail. The leading cause, accounting for 42% of closures, is building something nobody wants. An MVP exists to prevent exactly that. Instead of spending 12-18 months and six figures building a complete product, you spend 2-4 months building the smallest version that lets real users tell you whether you are on the right track.
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DevOps is a set of practices, cultural principles, and tools that bring software development (Dev) and IT operations (Ops) together. The goal is simple: build, test, and release software faster and more reliably.
That is the short answer. The longer answer is more useful if you are a CTO deciding how to structure your engineering team, a startup founder evaluating infrastructure approaches, or a developer exploring a DevOps career path.
The DevOps meaning has evolved since Patrick Debois coined the term in 2009. What started as a cultural movement to break down silos between developers and system administrators has grown into a defined discipline with mature toolchains, measurable outcomes, and a market projected to reach $19.57 billion in 2026, according to Mordor Intelligence.
This guide covers what DevOps stands for, how the methodology works, what DevOps engineers do day-to-day, the core tools and practices, how DevOps connects to platform engineering, and where the discipline is heading.
If you already know what DevOps is, maybe talk to the best DevOps Services Company around?
The debate around platform engineering vs. DevOps misses the point. These two disciplines are not competitors. Platform engineering grew directly out of DevOps, solving specific scaling problems that DevOps practices alone could not address. But the differences between them matter, especially if you are making hiring decisions, restructuring your engineering org, or choosing how to invest your infrastructure budget in 2026.
Gartner predicts that by the end of 2026, 80% of large software engineering organisations will have dedicated platform teams, up from roughly 55% in 2025. That is a massive shift. Yet most engineering teams still mix up these roles, treating platform engineer vs. DevOps engineer as interchangeable job titles. They are not.
This guide breaks down what each discipline does, how they differ in practice, what they pay, and when your team needs one, the other, or both.
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Code & Pepper built Peppy, an AI-powered Slack assistant that pulls answers from Confluence, Google Sheets, and Firebase to handle the repetitive HR, policy, and operations questions that slow teams down every day. Here’s why we built it, what we learned, and what it means for companies thinking about internal AI tools.
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For five years, HealthTech conferences sold the same dream. AI would diagnose everything. Virtual reality would replace clinical trials. Blockchain would fix medical records.
2026 has arrived. None of that became mainstream.
What did happen? The flashy pilots turned into working systems. The “experiments” became infrastructure. Technology stopped performing and started functioning.
If you’re building HealthTech products right now, you don’t need another trend report full of maybes. You need to know where capital is flowing and what’s actually getting deployed at scale.
Here’s what HealthTech looks like when it stops being a vertical and becomes the operating system.
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