Coding Sheet
The DSA sheet you're following was built for software engineers. DevOps, SRE, Platform and Cloud interviews test something different, so stop spending months on problems you'll never be asked. Learn only what your role needs, from zero coding to interview-ready.
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Do you need DSA for DevOps, SRE, Platform and Cloud interviews?
Yes, but less than software engineers. These interviews mostly ask easy to medium problems on arrays, strings, hashmaps, intervals, heaps and graphs, and many add a practical round such as parsing a log file or calling an API. Hard dynamic programming is rare outside Google SRE and Meta Production Engineer loops.
Open the DSA patterns sheet (120 problems)Starts from zero
No coding experience needed. Python basics come first, then everything builds on them.
Only what infra interviews ask
No hard puzzles you'll never see. Easy-to-medium DSA plus the scripting rounds these roles actually run.
Filtered by your role
One sheet, tagged for DevOps, SRE, Platform and Cloud. Pick your role and see only what it needs.
The six tracks
Programming from zero
Python basics for people who have never written code.
Bash and Linux
The shell one-liners and scripts infra interviews expect.
Practical infra coding
Real tasks from DevOps and SRE coding rounds.
Build it yourself
Small systems you implement from scratch in interviews.
Advanced
Extra depth for Google SRE, Meta Production Engineer and similar loops.
270 problems planned across all roles. One problem can count towards several roles.
Frequently asked questions
Usually yes, but a much lighter version than software engineers prepare for. Most DevOps interviews that include a coding round ask easy to medium problems built on arrays, strings, hashmaps and sorting, the same skills you use to count, group and search through logs and configs. Many companies also run a practical round instead of, or next to, a LeetCode-style one: parse an nginx log, process a CSV, or write a small automation script. Hard problems and dynamic programming are rare, and mostly limited to big-tech and trading-firm loops. Service companies often test very little DSA at all and focus on tools and scenarios.
Yes, noticeably. SRE interviews have the widest range: at large companies like Google and Meta you can expect medium problems on graphs, heaps, intervals and streams, plus a practical round such as aggregating a log file or calling an API. Platform roles lean towards building small systems from scratch, like an LRU cache, a rate limiter or a worker pool, and Go shows up more often. Cloud roles usually ask easier data-structure questions and put more weight on scripting, cloud SDK automation and networking. DevOps sits in between, with heavy use of Bash. That is why every problem here is tagged by role.
Yes, that is exactly who the first track is for. Most DSA sheets assume you can already program, which leaves people from support, sysadmin or non-CS backgrounds stuck at the start. The Programming from zero track teaches Python basics first, using infra examples like server lists, log lines and config values, so you learn the language and the domain together. From there, Bash and Linux covers the shell, and only then do you move on to DSA patterns and practical infra coding. Following the tracks in order takes you from no coding experience to interview-ready without gaps.
Those sheets are excellent for software engineering interviews, and they are built for them: 150 to 450 or more problems, including hard dynamic programming and advanced graph topics that infra interviews rarely touch. This sheet keeps only the DSA patterns DevOps, SRE, Platform and Cloud roles are actually asked, then adds what general sheets leave out entirely: Python from zero, Bash one-liners, practical infra coding like log parsing and API scripts, and small systems you build yourself. A role filter shows only what your target role needs, so you don't spend months on problems you will never see.
The full sheet plans around 270 problems, but no single role needs all of them. With the role filter on, Cloud comes to about 156, DevOps about 194, Platform about 230 and SRE about 250, and one problem can count towards several roles. At a steady pace of two or three problems a day, most people can work through their role's list in two to four months, faster if they already code. You can also skip tracks you're already confident in, for example Programming from zero if you already write Python.
Use Python for most problems. It is the default language in DevOps, SRE and Cloud interviews, its standard library covers what practical rounds need (files, regular expressions, JSON, CSV and HTTP), and interviewers rarely object to it. Use Bash for shell tasks like grep, awk and find pipelines, which several companies test directly. Go is increasingly common on Platform and infrastructure teams, so if you're aiming for a Platform role it's worth solving some of the build-it-yourself and concurrency problems in Go as well. If you already know another language well, the DSA problems still work in it.
Yes, a bit more of it. Google's SRE software-engineering track and Meta's Production Engineer loop hold coding rounds close to a software engineer's, typically medium problems written without running the code. The Advanced track covers the extra topics those loops add: Dijkstra, union-find, tries, a median of a data stream and core dynamic programming. Work through the DSA patterns and Advanced tracks with the SRE or Platform filter on, and practise writing clean code without an editor's help. For most other companies, the core tracks are enough.
Yes. Like everything else on DevOps Network, the Coding Sheet is completely free, with no paywall and no sign-up needed to read it. A free account lets you tick off the problems you've solved and see your progress per pattern and for your role.
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DSA patterns is live, and the other five tracks are being written. Leave your email and we'll tell you when each one goes live.
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Sources
Based on candidate interview reports (Blind, Glassdoor, GeeksforGeeks, LeetCode Discuss) and these public interview guides:
- DevOps/SRE coding interview levels (Reliability Whisperer)
- Google SRE interview questions (Coditioning)
- Meta Production Engineer interview guide (Coditioning)
- AWS Cloud Support Engineer interview guide (Prepfully)
- Hiring SREs at LinkedIn (LinkedIn Engineering)