[{"data":1,"prerenderedAt":718},["ShallowReactive",2],{"/en-us/blog/software-dependencies-tech-debt/":3,"navigation-en-us":35,"banner-en-us":464,"footer-en-us":481,"Vanessa Wegner":691,"next-steps-en-us":703},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"seo":8,"content":16,"config":25,"_id":28,"_type":29,"title":30,"_source":31,"_file":32,"_stem":33,"_extension":34},"/en-us/blog/software-dependencies-tech-debt","blog",false,"",{"title":9,"description":10,"ogTitle":9,"ogDescription":10,"noIndex":6,"ogImage":11,"ogUrl":12,"ogSiteName":13,"ogType":14,"canonicalUrls":12,"schema":15},"Don’t let your dependency-laden software become the next monolith","Keep your software development fast and efficient with dependency scanning and auto-remediation.","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749678488/Blog/Hero%20Images/software-dependencies-monolith.jpg","https://about.gitlab.com/blog/software-dependencies-tech-debt","https://about.gitlab.com","article","\n                        {\n        \"@context\": \"https://schema.org\",\n        \"@type\": \"Article\",\n        \"headline\": \"Don’t let your dependency-laden software become the next monolith\",\n        \"author\": [{\"@type\":\"Person\",\"name\":\"Vanessa Wegner\"}],\n        \"datePublished\": \"2019-09-09\",\n      }",{"title":9,"description":10,"authors":17,"heroImage":11,"date":19,"body":20,"category":21,"tags":22},[18],"Vanessa Wegner","2019-09-09","\nDependencies are a great tool for developers: They save time, which saves money\nand helps meet the need for speed when developing. But with great dependencies\ncomes great responsibility because it’s easy to accumulate tech debt in the form\nof dependencies. What happens when you need to alter a line of code? Does it\nbreak your software? What is the cost of fixing a bug, updating dependencies,\nor adding a new module? Suddenly your software management starts to resemble the\nstruggles of a monolithic architecture, where changing one small piece can break\neverything.\n\n## Software dependencies are like bricks, but flammable\n\nEach module added to your software can be thought of like a brick: Small parts\nof a greater whole. But now imagine that those bricks are highly flammable. You\nhave a significant chance of catastrophe with the tiniest of sparks.\n\nThat spark could be a single code change, [deleted code like the LeftPad\nincident](https://www.businessinsider.com/npm-left-pad-controversy-explained-2016-3),\na corrupted library, a missed patch, or patch that forces updates to all your\nother dependencies. There’s also the issue of security flaws – when a bug is\nfound, the whole open source community is in the know, and that applies to\nhackers as well. Popular dependencies [can quickly become targets](https://www.aptible.com/blog/vulnerability-scanning-for-your-dependencies-why-and-how)\nas soon as the news of a patch is released. Another common risk of all third-party software and code are [zero-day attacks](https://www.csoonline.com/article/3284084/what-is-a-zero-day-a-powerful-but-fragile-weapon.html),\nwhen a previously unknown vulnerability is exploited by hackers before a patch\nor update is applied.\n\n## Software dependency scanning: Your firetruck dispatch\n\nDependency scanners have risen in popularity and breadth in recent years,\nproving themselves useful tools for incident prevention. Scanners generally\nprovide a list of all the dependencies within your code or app, along with a\nlist of all the known vulnerabilities within each dependency. Scans can be done\nmanually or automatically. Users can [set up scans that run automatically within GitLab](https://docs.gitlab.com/ee/user/application_security/dependency_scanning/), which is helpful for code that\nisn’t updated often.\n\nDependency scanners can also be used to look for redundancies within projects\nthat have been worked on or updated without a detailed changelog, or over a\nlong period of time. Simplifying your dependencies will reduce the risk of a\ncode change chain reaction, and will also reduce your attack surface.\n\n## Auto-remediation: The all-in-one fire prevention and firehose tool\n\n[Auto-remediation tools](/direction/secure/#auto-remediation)\ncan find vulnerabilities within your code, evaluate the scope of any problems,\nand propose a solution. Developers can even set up auto-remediation tools to\napply solutions under defined circumstances, shortening the time the vulnerability window\nis open to cyber assailants. Once that fix is automatically created, next it is\ntested. If it passes all the tests defined for your application, the fix is then\ndeployed to production.\n\nAuto-remediation tools can also help verify that changes made in dependency\nupdates didn’t break any parts of your application – kind of like making sure\nyou’ve turned off the stove before leaving the house.\n\n## Build your house by laying each brick with intention\n\nDependencies help simplify coding, but they add complexity when it comes to\nmanaging the bigger picture. So it is crucial to understand what\ndependencies you have, where you can simplify, and how your current and new\ndependencies will affect your software in the future. Take command of your\ndependencies with tools like dependency scanners and auto-remediation, and use\nthat information and experience to build future software with efficiency and\nintention.\n\nCover photo by [Grace Kadiman](https://unsplash.com/@gracekadiman?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)\non [Unsplash](https://unsplash.com/search/photos/brick-laying?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)\n{: .note}\n","insights",[23,24],"open source","security",{"slug":26,"featured":6,"template":27},"software-dependencies-tech-debt","BlogPost","content:en-us:blog:software-dependencies-tech-debt.yml","yaml","Software Dependencies Tech 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