Saragossa’s Post

FinOps and DevOps are merging into the superhighway of operational efficiency. 🛣️💡 CFOs, how are you steering this integration for financial success? #FinOps #DevOps #AmzurTech https://hubs.ly/Q02p21TJ0

FinOps: The Balance of Financial Responsibility and Technical Innovation Imagine boosting developer productivity by 30% while slashing project costs by 25%. That might sound impossible, yet it’s a realistic goal for organizations that adopt FinOps (Financial Operations) – a data-driven approach to measuring software development lifecycle costs. BY LEE FAUS I’ve seen firsthand how FinOps adoption can transform developer productivity and optimize cloud costs, and am now an enthusiastic FinOps advocate. Many have discovered that using FinOps to establish an overlay between finance, product, and engineering teams enables their CFOs and CTOs to meet their cost savings goals. Managing costs around cloud services isn’t just a technical challenge–it’s also a strategic business imperative, especially as organizations invest more money in the cloud. FinOps brings necessary financial accountability to the cloud’s variable spend model. Let’s walk through the benefits of FinOps and how you can begin incorporating FinOps methodologies into your operational workflows. Bridge technical and financial domains Enhance financial governance Improve cost control and visibility Ease the tension Read more @

🚀 DevOps vs. SRE: Which is Right for Your Organization? In today’s fast-paced tech world, both DevOps and Site Reliability Engineering (SRE) are crucial for delivering high-quality software, but they serve different purposes. Here’s a quick breakdown: DevOps: 🔧 Focus: Streamlining development and operations to accelerate delivery. 📈 Goal: Enhance collaboration, automate processes, and deliver software faster. 🤝 Culture: Emphasizes collaboration between developers and operations teams. 🔄 CI/CD: Continuous Integration and Continuous Delivery are key practices. 🛠️ Tools: Jenkins, Ansible, Docker, Kubernetes. SRE: 🌐 Focus: Ensuring reliability and uptime of large-scale systems. 🎯 Goal: Apply software engineering to infrastructure and operations problems. ⚖️ Culture: Balances reliability with release velocity, using an error budget. 📊 Metrics: Monitors SLAs, SLOs, and SLIs to maintain service health. 🔧 Tools: Prometheus, Grafana, Terraform, PagerDuty. Which to Choose? 🚀 DevOps is ideal for fostering innovation and agility. 🔒 SRE is perfect for organizations where reliability is critical. 🎯 Combine Both: Integrate DevOps culture with SRE practices for optimal results. 🔧 DevOps Engineer | 🌐 Specializing in AWS, Ansible & Automated Deployments | 🚀 Passionate about Cost-Effective Solutions | 🎸 Guitar Enthusiast | 🇵🇰 Learning DevSecOps Connect with me: https://lnkd.in/d9jsx5na #DevOps #SRE #Tech #Innovation #SoftwareEngineering

Dave Stokes, our Tech Evangelist, weighs in on the DevOps evolution and the question, "Is DevOps dead?" He suggests a resurgence in data management focus and asserts the continued importance of DBAs in the ever-evolving tech scene. 🔄 DevOps lives on and is adapting to meet today's needs. Read more insights via The Stack. https://bit.ly/47EGAY1 #DevOps #DBA

FinOps Principles: Teams need to collaborate Finance, technology, product, and business teams work together in near real time as the cloud operates on a per-resource, per-second basis. Teams work together to continuously improve for efficiency and innovation. Decisions are driven by business value of cloud Unit economic and value-based metrics demonstrate business impact better than aggregate spend. Make conscious trade-off decisions among cost, quality, and speed. Think of cloud as a driver of innovation. Everyone takes ownership for their cloud usage Accountability of usage and cost is pushed to the edge, with engineers taking ownership of costs from architecture design to ongoing operations. Individual feature and product teams are empowered to manage their own usage of cloud against their budget. Decentralize the decision making around cost-effective architecture, resource usage, and optimization. Technical teams must begin to consider cost as a new efficiency metric from the beginning of the software development lifecycle. FinOps data should be accessible and timely Process and share cost data as soon as it becomes available. Real-time visibility autonomously drives better cloud utilization. Fast feedback loops result in more efficient behavior. Consistent visibility into cloud spend is provided to all levels of the organization. Create, monitor, and improve real-time financial forecasting and planning. Trending and variance analysis helps explain why costs increased. Internal team benchmarking drives best practices and celebrates wins. Industry peer-level benchmarking assesses your company’s performance. A centralized team drives FinOps The central team encourages, evangelizes, and enables best practices in a shared accountability model, much like security, which has a central team yet everyone remains responsible for their portion. Executive buy-in for FinOps and its practices and processes is required. Rate, commitment, and discount optimization are centralized to take advantage of economies of scale. Take advantage of the variable cost model of the cloud. The variable cost model of the cloud should be viewed as an opportunity to deliver more value, not as a risk. Embrace just-in-time prediction, planning, and purchasing of capacity. Agile iterative planning is preferred over static long-term plans. Embrace proactive system design with continuous adjustments in cloud optimization over infrequent reactive cleanups. Remove the need for engineers and operations teams to think about rate negotiations, allowing them to stay focused on usage optimization of their own environments. #finops #kubernetes #cloud

Continuous Integration/Continuous Delivery (CI/CD) Pipeline Explained In software development, a CI/CD pipeline refers to a set of automated processes that facilitate the continuous integration and delivery (or deployment) of code changes. Here's a breakdown of how it works: Continuous Integration (CI): This involves automatically building and testing code changes whenever they are committed to a version control repository, such as Git. CI ensures that new code integrates smoothly with the existing codebase and doesn't introduce conflicts or errors. Continuous Delivery (CD): This extends CI by automating the deployment of code changes to staging or pre-production environments. The code is thoroughly tested in these environments to ensure its readiness for production. Continuous Deployment (CD): In this stage, code changes that have passed all tests in the staging environment are automatically deployed to production, further streamlining the release process. The CI/CD pipeline typically consists of multiple stages, including code compilation, unit testing, integration testing, deployment to staging, and deployment to production. Each stage is automated and triggered by specific events, such as code commits or merge requests. Benefits of CI/CD include: Faster Time to Market: Automation reduces manual overhead and enables quicker delivery of software updates and features to end-users. Improved Code Quality: Automated testing ensures that code changes meet quality standards and are less likely to introduce bugs or regressions. Reduced Risk: With automated testing and deployment processes, the risk of human error is minimized, leading to more reliable software releases. Greater Collaboration: CI/CD encourages collaboration among developers, testers, and other stakeholders by providing a standardized and automated workflow. In summary, CI/CD pipelines are essential tools for modern software development teams, enabling them to build, test, and deploy code changes rapidly and reliably. #aws #devops #cicd #jenkins #cloud #cloudcomputing #fullstackacademey #aws #azure #amazon #devopstools #devopsjourney #pipeline #devopslife #Devops #Anisible #CICD #bulit #awslife #azure

Bringing Engineering and Finance together has never been easier. Check out this quick read on #IBMs new FinOps suite, and learn how having the right framework and set of products can help you find the competitive advantage you have been looking for! #FinOps

Infrastructure from Code Gives Ops Needed Freedom https://lnkd.in/gfTxqiYr Infrastructure from Code (IfC) is gaining significant interest and sparking conversations among developers and DevOps professionals alike. As organizations strive for greater efficiency and automation in their deployment processes, the appeal of IfC lies in its promise to streamline infrastructure provisioning by automatically inferring the necessary resources from application code. This innovation offers a seamless way to integrate infrastructure management directly into the development workflow, promising to bridge the gap between development and operations. However, despite its growing popularity, some are hesitant to try it out. One of the most common misconceptions about Infrastructure from Code (IfC) is that it burdens developers with the responsibility of writing infrastructure-specific configurations directly into their application code. This misunderstanding leads to the following beliefs: Developers must have a deep understanding of the runtime infrastructure and resources they are using. This will add to their cognitive load and potentially distract them from their primary focus of writing application logic. Operations teams lose control and governance over the infrastructure since configurations are embedded directly into the application code by developers. This can result in inconsistent, insecure or noncompliant infrastructure setups. What IfC Frameworks Actually Do IfC automates the process of inferring the runtime requirements of an application and creating a specification that documents these requirements. This specification is generated without any specific infrastructure code being added to the application. For example, to leverage a cloud service like an API gateway, developers write routes into their application and implement handlers for these routes. In many instances, they don’t need to worry about which specific API gateway is being used; they only need to understand that their application will eventually be deployed to leverage one. The framework is then responsible for mapping the requirements to “providers,” which are responsible for fulfilling the contract. Basically, the framework collects all of the resources and maps them to concrete implementations of modules that: Provision IAM roles and permissions required to allow the resources to communicate and adhere to governance standards such as least privilege Enable and provision the services and resources required, and set up appropriate naming conventions, label conventions and finer-grained configuration What Developers Actually Do In reality, developers using IfC frameworks are not writing infrastructure configurations or Infrastructure as Code (IaC) into their applications. With the approach we’ve taken with the open source Nitric framework, they are not even annotating their code with infrastructure-specific requirements. Instead, developers focus solely on bu...

At the recent DevOps Enterprise Summit, transformation technology leader Scott Prugh shared insights into managing software projects using a more physics based approach rather than an accounting based approach. Having graduated in Physics the title alone was enough to pull me in. The article repackages principles of DevOps with a very light touch of Physics and makes for a informative read. If you want to learn the meaning of terms like "Half life of Knowledge" and "Social Layer" and how they relate to DevOps, give this article a read. #DevOps #SoftwareProjects #TransformationTechnology #CoordinationCosts #Coupling #Flow

"At its core, FinOps is a cultural practice. It’s the way for teams to manage their cloud costs, where everyone takes ownership of their cloud usage supported by a central best-practices group. Cross-functional teams in Engineering, Finance, Product, etc work together to enable faster product delivery, while at the same time gaining more financial control and predictability. FinOps is a portmanteau of “Finance” and “DevOps”, stressing the communications and collaboration between business and engineering teams. Other names for the practice include “Cloud Financial Management”, “Cloud Financial Engineering” “Cloud Cost Management”, “Cloud Optimization”, or “Cloud Financial Optimization”. It is sometimes incorrectly referred to “Cloud Financial Operations” but that term is falling out of favor due to its ambiguity with the more traditional “Financial Operations” role that exists in Finance. #FinOps