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Tag: Configuration as Code

  • Configuration-as-Code: Trends and Predictions for 2024

    Configuration-as-Code: Trends and Predictions for 2024

    Configuration-as-code, often abbreviated as CaC, is an innovative approach to managing and provisioning computing resources. It refers to the practice of handling changes, deployments and updates to software and systems via code rather than manual processes. CaC allows for a version-controlled, reproducible and automated method of managing environments, leading to more consistent and reliable systems.

    The essence of configuration-as-code is to treat system configurations the same way that software code is treated. This means that configurations are written in a code format, stored in a version control system and applied through automated processes. This approach brings several benefits, including consistency, repeatability and the ability to test changes before applying them to live environments.

    This concept is not just a theoretical approach but rather a practical tool for managing modern digital infrastructure. It’s a key component of DevOps practices, enabling teams to move faster while maintaining control and minimizing the risk of operational issues. Configuration-as-code is a critical tool for managing complex systems and achieving the highest levels of operational efficiency and reliability.

    The Evolution of CaC in Recent Years

    Over the past several years, configuration-as-code has grown from a niche concept into a mainstream practice adopted by many leading technology companies. This evolution has been driven by several factors, including the increasing complexity of digital systems, the rise of cloud computing and the broader adoption of DevOps practices.

    In the early days, system configurations were often managed manually or through ad-hoc scripts. This approach was prone to errors, hard to scale and lacked visibility into changes. As systems grew more complex, the need for a more robust, scalable, and reliable method of managing configurations became apparent. This led to the creation of configuration-as-code.

    The rise of cloud computing has been a significant driver in the adoption of configuration-as-code. With cloud platforms, resources can be provisioned and managed via APIs, making it possible to handle configurations through code. This has allowed for much greater scalability and flexibility enabling companies to manage large, complex environments more effectively.

    The adoption of DevOps practices and increasingly mature automation frameworks have also contributed to the growth of Configuration as Code. As infrastructure-as-code (IaC) becomes the norm, CaC is becoming a staple of modern DevOps practices.

    Trends in Configuration-as-Code for 2024

    Looking ahead to 2024, several trends are likely to shape the future of configuration-as-code:

    Increased Adoption of Cloud-Native Environments

    As more companies adopt cloud-native technologies, the use of configuration-as-code is set to increase. Cloud-native environments are inherently dynamic and complex, making them an ideal fit for configuration-as-code. With CaC, teams can manage these environments more effectively, ensuring consistency, scalability, and reliability. Cloud-native technologies like Kubernetes and Docker also natively support configuration-as-code, making it easier for teams to adopt this approach.

    Use of AI and Machine Learning in Configuration Management

    Artificial intelligence and machine learning are set to play a significant role in the future of configuration management. With AI and ML, teams can automate even more aspects of configuration management, reducing the risk of human errors and freeing up time for more valuable tasks. For example, AI could be used to predict the impact of configuration changes, while machine learning could help automate the process of optimizing configurations for performance and cost efficiency.

    Shift Toward Immutable Infrastructure

    Immutable infrastructure means that servers are never modified after they’re deployed. Instead, any changes are made by deploying a new server with the desired configuration. This approach reduces the risk of configuration drift and ensures a consistent environment. Configuration-as-code is a key enabler of immutable infrastructure, making it easier to manage and deploy servers in a repeatable, automated way.

    Collaboration and Democratization of CaC

    Finally, the trend towards collaboration and democratization in technology will also influence configuration-as-code. With CaC, configurations become more visible and accessible, allowing for greater collaboration between teams. This can lead to better decision-making, less siloed working, and improved overall outcomes. At the same time, configuration-as-code also enables democratization by making it easier for non-technical stakeholders to understand and participate in configuration management.

    Predictions for Configuration-as-Code in 2024

    CaC is Becoming a Cornerstone in the DevSecOps Approach

    The integration of development, security and operations—commonly known as DevSecOps—aims to embed security practices into the DevOps process. As we look towards 2024, configuration-as-code is set to become a cornerstone in the DevSecOps approach.

    By treating infrastructure as code, teams can apply the same security practices they use for application code to their infrastructure. This includes performing code reviews, using automated testing, and tracking changes to the environment. With configuration-as-code, security can shift left—being considered earlier in the development process—leading to more secure systems.

    Moreover, configuration-as-code can help bridge the gap between security and operations teams. It allows for a shared language and shared tools, fostering better collaboration and communication.

    Growth of CaC-as-a-Service

    Configuration-as-code-as-a-service is an emerging trend that is set to grow significantly by 2024. This approach allows businesses to outsource configuration management to a specialist third party, which uses configuration-as-code to automate the process. Cloud-based configuration management solutions provide advanced capabilities such as secrets management, centralized configuration management and orchestrated workflows.

    Version Control Features Specifically Designed for CaC

    Version control systems are a key component of configuration-as-code. They allow teams to track changes to their environment, revert back to previous versions if necessary, and collaborate more effectively. In 2024, we can expect to see the evolution of version control systems with features specifically designed for CaC.

    These features might include support for infrastructure-specific languages and better integration with infrastructure tools. Version control tools might also introduce improved support for collaborative configuration workflows, making it easier for teams to work together on infrastructure configuration.

    Increased Role of CaC in Managing Edge Computing Environments

    As we move into 2024, we can expect to see an increased role for configuration-as-code in managing edge computing environments. Edge computing is rapidly growing due to its ability to bring computation and data storage closer to the location where it is needed, improving response times and saving bandwidth.

    With the rise of edge computing, managing these environments becomes increasingly complex. CaC can automate the process of setting up and maintaining these environments, reducing human error and increasing efficiency. This also allows for consistency across different environments, leading to more reliable systems.

    In conclusion, the future of configuration-as-code looks promising. As we move towards 2024, we can expect to see an increased role for CaC in managing edge computing environments, its evolution as a cornerstone in the DevSecOps approach, the growth of CaC-as-a-Service, and the evolution of version control systems specifically designed for CaC. These developments promise to bring about greater efficiency, security and collaboration in the realm of infrastructure management.

  • The Pros and Cons of Configuration-as-Code

    The Pros and Cons of Configuration-as-Code

    Configuration-as-code, or “GitOps” as many are now calling it, is a simple but astounding idea: Standardize configuration, check it into version control; no need for each Operations/DevOps person to develop their own set of scripts to get the job done. Configuring or reconfiguring an environment is as simple as checkout and run, assuming everything in the configuration is tested. For a project or a team, this is a serious time-saver and limits the amount of human error introduced into our systems. For projects rolling out code frequently, it is pretty much required.

    But like everything, it has its limits. I worked with a product management engineer once who had concocted a script that had tens of thousands of lines of code and was every bit as complex as the product he used it to manage. His scenario was the typical precursor to configuration-as-code: He would go show off the product and whatever functionality he needed could be managed through his script. The problem was maintenance; as the script was central to how he did his job, changes to it were a big deal. And even though he was the only one maintaining it, he did get burned a couple of times by changes he’d made, because it was that complex.

    When our configuration-as-code starts to cross teams, or we take it to the enterprise level, we risk finding its limitations. Our environments are complex, very complex. And we can do a lot with configuration-as-code, but throwing everything plus the kitchen sink into that system will create issues we need to overcome.

    A single project is constrained. We know what we need to do to spin up the environment. We can identify weak points and build checks and balances around them.

    The enterprise environment is not a project. Agile projects and DevOps thrive because they have a stable working environment to run on. The volume of change in things such as storage allocation, routing and VLANs is not the volume of change that an agile project sees. Good documentation is as solid a solution as configuration as code for something that changes rarely and the size/number of scripts and configurations that need to be maintained is smaller.

    There is a good use case for corporatewide configuration-as-code for recovery purposes. It is far easier to restore the environment in a disaster if you have all configuration and the scripts to install that configuration available. Unfortunately, that use case is minimized by the march of technological change. During the one total destruction restoration I’ve been involved in (was in charge of), many of our configurations were no longer usable because the products we were running in production at the time of the disaster were not the products we could purchase for the rebuild. We ended up with a shiny new data center from building to servers, but it still involved a lot of manual configuration. So while the use case is good, it is not a panacea unless you are constantly replacing your infrastructure with the newest products, limiting the usefulness of this use case also.

    Some organizations have already moved to configuration-as-code via methodologies such as chaos engineering, but most of us are just starting to consider moving configuration-as-code beyond the project level. When the (admittedly large) step of truly moving infrastructure management toward configuration-as-code, start with inventorying what your operations team does on a daily basis. There are a ton of things—the famous low-hanging fruit—that can be boiled down to scripts or standardized configurations and checked into version control. This gives a central point of truth for how things are configured, tracks changes for when things go wrong, and shortens startup time for new DevOps/Operations staff by giving them a repository of tools to review and work with. When working in the cloud, everything is scriptable, so make that side of operations is completely configuration-as-code. In the data center, you end up with diminishing returns after daily tasks are automated, but assigning someone to codify all possible changes is a worthy goal, as long as the work is prioritized to make the most frequent or error-prone configuration issues a priority. Once the focus is down to hardware, the rate of return for those invested hours is going to go down a bit, since specialized hardware is full of proprietary or market-focused config info. To draw on a comparison I’m familiar with: An F5 ADC has very specific use cases that must be reconfigured centrally, whereas restoring your Kubernetes cluster will generally require less focused configuration and teams spinning up containers will take it from there. Not that Kubernetes configuration is simple; but each project handles the details they require while corporate-shared resources tend to need all of the details handled by the infrastructure team.

    We can discuss this at length, and I have with others who think differently, but small tools are better. Do one thing, and do it well—the original Linux mantra—then make scripts that call the small ones. This contains changes over time and doesn’t create dependencies or touches on things that might not need it in a given situation.

    And keep rocking it. All configuration-as-code does is reduce manhours and opportunity for human error, so embrace it, but be controlled about it. Don’t throw everything in there and then forget about it. Make a plan, make a maintenance plan. Iterate. Improve. And use that extra time to solve user problems, which is why we’re here in the first place.

  • Knowledge Is Power

    Knowledge Is Power

    I was doing some research over the weekend, and it became abundantly clear that you can find an Ansible script to do pretty much any repetitive task in your infrastructure. This is good news for Ansible users, and the pool of available scripts will, no doubt, continue to grow as critical mass effect kicks in.

    My concern is for those that find a script that does what they want/need, and drop it into their infrastructure. This approach may be a good short-term fix, but is full of potential peril. Even a cursory read of a complex script is insufficient.

    We all know the watchwords of the day are “speed” and “agility,” but take some time to test and get to know those scripts. When (not if) they fail, you’re going to want a clue of what is going on in there to track it down, and you certainly want to understand what is being pulled into your infrastructure. While the community is likely to catch malicious scripts relatively quickly, the inclusion of questionable sources and cases where your infrastructure causes a script to have issues are more likely to make it to your desk.

    The easiest validation cycle is to:

    • Read it for understanding. Know what it is doing, why it is doing it and what it is including.
    • Run it in an isolated environment. A pod, a VPN, whatever, just somewhere that you can control ingress and egress.
    • Scan the results as you would anything in production. Make certain sources are valid for your organization, make certain inclusions are safe and validate that any vulnerabilities in the resulting systems are known and acceptable to your organization.
    • If you can, do runtime testing upon it to catch any real-time changes. Most “changes after install” type of software is either well known or not included, so this step is more peace of mind than mandatory.

    If your thought was “takes too long, not necessary,” the risk is on you. But on the list of weaknesses in DevOps, that mentality is definitely in the top three. “Takes too long” is an organizational concern that is different everywhere. “Not necessary” is only true until it isn’t. As an IT professional, having at least a passing familiarity with the environments you are creating is part of the job. Fail to do it at your own risk.

    Much like there are trusted sources for the various types of repo we access, trusted playbook developers are a list you can curate. I know of a few that, in a pinch, I’d be willing to drop a script from into my architecture with only a cursory review, then give it a more thorough going over later when there is more time. But I know that because I’ve read their scripts, and I get that they are also careful.

    While I have Ansible scripts on my mind because that’s what I was looking into, this advice applies to any and all automation scripts that pull from outside sources. Python and Node do a ton of this too, but only highly complex projects pull from a lot of disparate sources. Ansible and other infrastructure automation tools pull from a variety of sources almost by definition (because infrastructure is complex), so they deserve more attention.

    In the end, automating all the things changes nothing about responsibility. So, take the time to make certain you know what is going on in your environment, and why. If you are really motivated, take the time to sweep through and remove any references you are certain you don’t need — but nested dependencies make the ROI on this type of work minimal, in my experience.

    Meanwhile, you are keeping a ton of servers running and users happy. Keep rocking it, and keep looking for solutions like automation scripts to make you more responsive — just don’t relinquish your authority for the datacenter to random submitter on the internet — because responsibility will still be yours.