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Spacelift

By Spacelift, Inc.

IntermediatePlatform7.3K learners

Spacelift is a managed continuous integration and delivery platform purpose-built for infrastructure as code, orchestrating plan and apply workflows for tools such as Terraform, Pulumi, and OpenTofu with policy checks, approval gates, and…

#Spacelift#DevOps#Platform#Intermediate#Atlantis#Env0#Terraform#TerraformCloud#SoftwareDelivery#Glossary#SkillVeris

Definition

Spacelift is a managed continuous integration and delivery platform purpose-built for infrastructure as code, orchestrating plan and apply workflows for tools such as Terraform, Pulumi, and OpenTofu with policy checks, approval gates, and drift detection built in. It runs infrastructure changes in isolated, ephemeral workers triggered by version control events, giving teams a GitOps workflow for infrastructure comparable to what CI/CD platforms provide for application code. DevOps and platform teams use it to add guardrails and automation around infrastructure change management.

Overview

Spacelift responds to a gap that generic CI/CD systems leave open: running Terraform or similar tools through a general-purpose pipeline works, but it typically requires teams to hand-build state locking, plan review workflows, drift detection, and policy enforcement themselves using scripts and third-party integrations. Spacelift packages those concerns into a platform designed specifically around infrastructure-as-code's plan-then-apply lifecycle. Mechanically, Spacelift connects to a version control repository and defines "stacks," each representing a unit of infrastructure managed by a particular IaC tool and backend. When a change is pushed, Spacelift runs the tool's plan step in an isolated, ephemeral worker, evaluates the proposed changes against configurable policies written in Open Policy Agent's Rego language, and, depending on policy and configuration, either applies automatically or waits for a human approval before running apply. It also periodically checks live infrastructure against the last known state to detect and surface configuration drift. Compared to Atlantis, which is a self-hosted, open-source tool that runs Terraform plan and apply through pull request comments, Spacelift is a fully managed SaaS platform with a broader policy engine, multi-tool support beyond Terraform, and built-in drift detection, at the cost of being a paid, hosted product rather than something a team runs on their own infrastructure. Compared to Env0, another managed IaC platform, the two overlap closely in positioning, differing mainly in their specific policy engines, pricing models, and depth of integrations with cloud cost estimation and compliance tooling. In practice, teams adopt Spacelift to enforce mandatory review and policy checks before infrastructure changes reach production, to manage many Terraform or Pulumi stacks across environments and cloud accounts from one control plane, and to get automated notifications when live infrastructure has drifted from its declared configuration. Its GitOps model means infrastructure changes flow through the same pull-request-based review process teams already use for application code. Limitations include vendor lock-in to a commercial SaaS platform for a core piece of infrastructure tooling, and the need to migrate existing ad hoc pipelines and state management practices into Spacelift's stack model, which can require nontrivial setup for large existing Terraform estates. Teams wanting a fully self-hosted, free alternative for simple pull-request-driven Terraform automation often start with Atlantis instead. Spacelift also supports custom workflow logic through hooks that run before and after plan or apply steps, letting teams integrate cost estimation tools, security scanners, or internal approval systems into the pipeline without forking the platform itself. This extensibility, combined with its policy engine, is often the deciding factor for organizations with compliance requirements that a bare CI pipeline running Terraform commands cannot satisfy on its own.

Key Features

  • Orchestrates plan and apply workflows for Terraform, Pulumi, and OpenTofu
  • Runs infrastructure changes in isolated, ephemeral workers
  • Enforces policy checks using Open Policy Agent's Rego language
  • Detects and reports configuration drift automatically
  • Requires human approval gates before applying changes
  • Manages many infrastructure stacks from a single control plane
  • Integrates with version control for GitOps-style workflows
  • Supports role-based access control across teams and environments

Use Cases

Enforcing policy and review gates on infrastructure changes
Managing multiple Terraform stacks across cloud accounts
Detecting drift between live infrastructure and declared state
Automating GitOps workflows for infrastructure as code
Coordinating Pulumi or OpenTofu deployments alongside Terraform
Integrating cost estimation and security scanning into pipelines

Alternatives

Atlantis · Atlantis open-source projectEnv0 · Env0Terraform Cloud · HashiCorpScalr · Scalr, Inc.

Frequently Asked Questions

Frequently Asked Questions

21 categories · pick one to explore

Does SkillVeris have a tech blog, and what does it cover?
Yes, the SkillVeris blog has over 500 articles covering AI and machine learning, programming, web development, DevOps, cloud, security, databases and career guidance. Articles are practical and answer-first, and many use the Learn Through Hobbies approach, teaching technical concepts through cricket, music, gaming or cooking analogies. Everything is free to read.
What is the SkillVeris tech glossary and how big is it?
The SkillVeris glossary is a free reference of roughly 2,000-plus technology terms, each with a clear plain-language definition. It spans AI, programming, web, DevOps, cloud, security and database vocabulary, so whenever a lesson, article or job description uses jargon you do not recognise, the glossary gives you a fast, reliable answer.
Are the developer cheat sheets on SkillVeris free to download?
The cheat sheets are completely free to use, like everything else on SkillVeris. Each sheet condenses a language or tool into its essential syntax, commands and patterns for quick reference while coding. They are designed for rapid lookup during real work, complementing the deeper explanations found in study notes and courses.
Which programming references and cheat sheets are available?
Cheat sheets cover the platform's main domains, including programming languages, AI and ML tooling, web development, DevOps, cloud, security and databases, matching the topics of the 37 live courses. Each sheet lists related reading links and hashtags, so you can jump from a quick reference into fuller study notes or blog articles.
How do I find the meaning of a technical term quickly?
Search the SkillVeris glossary, which holds around 2,000-plus terms with concise, plain-language definitions. Each entry gets to the point in its first sentence, then links to related reading like blog posts or study notes for deeper context. It is faster and more consistent than sifting through scattered search results.
Is the SkillVeris blog good for beginners learning to code?
Yes, many blog articles are written specifically for beginners, and the Learn Through Hobbies style makes them unusually approachable: you might learn Python concepts through cricket or understand APIs through cooking. With 500-plus articles across skill levels, beginners can start with fundamentals and keep reading as they advance, entirely free.
Can cheat sheets replace full courses for learning a language?
No, cheat sheets are references, not teaching tools; they assume you already understand the concepts and just need syntax or commands fast. To actually learn a language, take a structured SkillVeris course with its 24–40 lessons and assessments, then keep the cheat sheet beside you while practising in Code Lab.
How often are new blog articles published on SkillVeris?
The blog grows regularly and already exceeds 500 articles, with new posts added as courses launch and technologies evolve. Topics track the platform's catalogue across AI, programming, web development, DevOps, cloud and security, so checking the Blog section periodically surfaces fresh tutorials, explainers and career-focused pieces, all free to read.
Does the glossary cover AI and machine learning terms?
Yes, AI and machine learning vocabulary is a major part of the roughly 2,000-plus term glossary, covering everything from foundational terms to modern concepts around LLMs, RAG and MLOps. Definitions are plain-language and answer-first, which helps when dense AI papers or course lessons throw unfamiliar jargon at you.
Are there cheat sheets for interview preparation?
Cheat sheets work well as interview-day refreshers because they compress syntax, commands and key concepts into scannable references. For dedicated preparation, combine them with the SkillVeris interview questions feature, which includes readiness scoring, plus study notes for depth. Reviewing a relevant cheat sheet just before an interview steadies recall under pressure.
Can I read the tech blog without signing up?
Yes, the blog is freely readable, and SkillVeris never charges for content. All 500-plus articles are open, covering tutorials, concept explainers and career advice. Creating a free account adds value elsewhere on the platform, like course progress tracking and certificates, but reading the blog requires no commitment at all.
How is the SkillVeris glossary different from Wikipedia?
The glossary is purpose-built for learners: definitions are short, plain-language and answer-first, sized for a quick lookup mid-lesson rather than a deep encyclopedic read. Entries also cross-link to related SkillVeris study notes, blog posts and courses, so a definition becomes a doorway into structured learning instead of a dead end.
Do blog articles use the Learn Through Hobbies method?
Many blog articles teach technical topics through hobby analogies, a hallmark of the SkillVeris blog, so you will find articles explaining programming through cricket, machine learning through music, or system design through cooking. The analogy is the teaching device; the article still delivers the real technical concept underneath.
Where can I find quick programming references while coding?
Open the SkillVeris cheat sheets, which are built exactly for that moment: compact, scannable references for syntax, commands and common patterns across languages and tools. Keep the relevant sheet in a browser tab while you work in Code Lab or your own editor, and dip into the glossary for terminology.
Is there a glossary entry for terms I meet in job descriptions?
Very likely yes, with roughly 2,000-plus terms across AI, programming, web, DevOps, cloud, security and databases, the glossary covers most jargon that appears in tech job descriptions. Decoding a listing this way helps you judge role fit honestly and prepares you to discuss those terms in interviews.
Are the blog articles written for the Indian tech audience?
The blog serves Indian learners plus a worldwide audience. Content stays globally relevant while acknowledging realities that matter in India, such as free access being essential for students and freshers, and career guidance that connects naturally to the SkillVeris jobs portal, which aggregates roles across India, UK, USA, Germany and Remote.
Can I suggest a topic for the blog or glossary?
SkillVeris content grows in response to what learners need, so feedback is welcome through the platform's support channels. If a term is missing from the glossary or a topic deserves an article, telling the team helps prioritise it. Meanwhile, the AI Mentor can answer the question immediately, 24/7, at any depth.
Do cheat sheets and glossary entries link to deeper learning?
Yes, every cheat sheet and glossary entry carries related reading links into study notes, blog articles and courses, plus concept hashtags for discovering similar content. This cross-linking means a thirty-second lookup can smoothly become a structured learning session whenever you decide you want more than a quick answer.
What makes SkillVeris programming references trustworthy?
The references are written to strict internal quality standards, kept consistent with the platform's 37 live courses, and never padded with invented statistics or hype. Definitions and cheat sheets are reviewed against the same content contracts that govern courses, and the answer-first style makes any inaccuracy easy to spot and correct.
How do the blog, glossary and cheat sheets fit into my learning routine?
Use them as satellites around your main course: read blog articles for context and motivation, hit the glossary the instant jargon appears, and keep cheat sheets open while coding. Together with study notes, Code Lab and the 24/7 AI Mentor, they turn passive reading into a complete, free learning system.

What Learners Say

Real journeys from the SkillVeris community — swipe for more.

SkillVeris taught me Python through Cricket. Now I’m building real projects and feeling confident!
Arjun S. · B.Tech Student
The best platform for hobby-based learning. Concepts finally stick.
Priya R. · Data Analyst
I went from zero coding to a portfolio of projects — all by learning through my love for gaming. Landed my first internship!
Kabir M. · CS Undergraduate
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