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Found 11 results

  1. Today, Amazon Web Services (AWS) announced the launch of the AWS Well-Architected Framework DevOps Guidance. The AWS DevOps Guidance introduces the AWS DevOps Sagas—a collection of modern capabilities that together form a comprehensive approach to designing, developing, securing, and efficiently operating software at cloud scale. Taking the learnings from Amazon’s own transformation journey and our experience managing global cloud services, the AWS DevOps Guidance was built to equip organizations of all sizes with best practice culture, processes, and technical capabilities that help to deliver business value and applications more securely and at a higher velocity. A Glimpse into Amazon’s DevOps Transformation In the early 2000s, Amazon went through its own DevOps transformation which led to an online bookstore forming the AWS cloud computing division. Today, AWS provides a wide range of products and services for global customers that are powered by that same innovative DevOps approach. Due to the positive effects of this transformation, AWS recognizes the significance of DevOps and has been at the forefront of its adoption and implementation. Amazon’s own journey, along with the collective experience gained from assisting customers as they modernize and migrate to the cloud, provided insight into the capabilities which we believe make DevOps adoption successful. With these learnings, we created the DevOps Sagas to help our customers sustainably adopt and practice DevOps through the implementation of an interconnected set of capabilities. Each DevOps Saga includes prescriptive guidance for capabilities that provide indicators of success, metrics to measure, and common anti-patterns to avoid. Introducing The DevOps Sagas The DevOps Sagas are core domains within the software delivery process that collectively form AWS DevOps best practices. Together, they encompass a collection of modern capabilities representing a comprehensive approach to designing, developing, securing, and efficiently operating software at cloud scale. You can use the DevOps Sagas as a common definition of what DevOps means to your organization by aligning on a shared understanding within your organization and to consistently measure DevOps adoption over time. The 5 DevOps Sagas are: Organizational Adoption Saga: Inspires the formation of a customer-centric, adaptive culture focused on optimizing people-driven processes, personal and professional development, and improving developer experience to set the foundation for successful DevOps adoption. Development Lifecycle Saga: Aims to enhance the organization’s capacity to develop, review, and deploy workloads swiftly and securely. It leverages feedback loops, consistent deployment methods, and an ‘everything-as-code’ approach to attain efficiency in deployment. Quality Assurance Saga: Advocates for a proactive, test-first methodology integrated into the development process to ensure that applications are well-architected by design, secure, cost-efficient, sustainable, and delivered with increased agility through automation. Automated Governance Saga: Facilitates directive, detective, preventive, and responsive measures at all stages of the development process. It emphasizes risk management, business process adherence, and application and infrastructure compliance at scale through automated processes, policies, and guardrails. Observability Saga: Presents an approach to incorporating observability within environment and workloads, allowing teams to detect and address issues, improve performance, reduce costs, and ensure alignment with business objectives and customer needs. Who should use the AWS DevOps Guidance? We recognize that every organization is unique and that there is no one-size-fits-all approach to practicing DevOps. The recommendations and examples provided can be tailored to suit your organization’s environment, quality, and security needs. The AWS DevOps Guidance is designed for a wide range of professionals and organizations, including startups exploring DevOps for the first time, established enterprises refining their processes, public sector companies, cloud-native businesses, and customers migrating to the AWS Cloud. Whether you are steering strategic direction as a Chief Technology Officer (CTO) or Chief Information Security Officer (CISO), a developer or architect actively engaged in designing and deploying workloads, or in a compliance role overseeing quality assurance, auditing, or governance, this guidance is tailored to help you. Next Steps With the release of the AWS DevOps Guidance, we encourage you, our customers, to download and read the document, as well as implement and test your workloads in accordance with the recommendations within. Use the AWS DevOps Guidance in tandem with the AWS Well-Architected Framework to conduct an assessment of your organization and individual workload’s adherence to DevOps best practices to pinpoint areas of strength and opportunities for improvement. Collaborate with your teams – from developers to operations and decision-makers – to share insights from your assessment. Use the insights gained from the AWS DevOps Guidance to prioritize areas of improvement and iteratively improve your DevOps capabilities. Find the AWS DevOps Guidance on the AWS Well-Architected website or contact your AWS account team for more information. As with the AWS Well-Architected Framework and other industry and technology guidance, we recommend leveraging the AWS DevOps Guidance early and often – as you approach architectural and service design decisions, and whenever you carry out Well-Architected reviews. As you use the AWS DevOps Guidance, we would appreciate your comments and feedback to help us improve as best practices and technology evolve. We will continually refresh the content as we identify new best practices, metrics, and common scenarios. View the full article
  2. Today, we are excited to announce the general availability of HashiCorp Terraform 1.6, which is ready for download and immediately available for use in Terraform Cloud. This release adds numerous features to enhance developer productivity and practitioner workflows, including a powerful new testing framework, improvements to config-driven import, enhancements for Terraform Cloud CLI workflows, and more. Let’s take a look at what’s new... View the full article
  3. We are excited to announce the availability of improved AWS Well-Architected Framework guidance. In this update, we have made changes across all six pillars of the framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. In this release, we have made the implementation guidance for the new and updated best practices more prescriptive, including enhanced recommendations and steps on reusable architecture patterns targeting specific business outcomes in the Amazon Web Services (AWS) Cloud... View the full article
  4. Tray.io's Universal Automation Cloud service leverages an existing Merlin AI engine to identify the most efficient way to automate a workflow. View the full article
  5. AWS Glue for Apache Spark now supports three open source data lake storage frameworks: Apache Hudi, Apache Iceberg, and Linux Foundation Delta Lake. These frameworks allow you to read and write data in Amazon Simple Storage Service (Amazon S3) in a transactionally consistent manner. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. This feature removes the need to install a separate connector and reduces the configuration steps required to use these frameworks in AWS Glue for Apache Spark jobs. View the full article
  6. Codenotary this week announced it has integrated support for the Supply-Chain Levels for Software Artifacts (SLSA) framework in its free notarization and verification service for ensuring the integrity of code. Moshe Bar, Code Notary CEO, said as the first application security platform to attain SLSA compliance, the company is making it easier for organizations to […] View the full article
  7. AppSmith has added support for Git repositories to an open source framework for building custom applications using a low-code platform based on the JavaScript programming language. Rishabh Kaul, head of marketing for AppSmith, said the Git support will make it simpler for developers to manage version control as they iteratively build applications using a set […] The post AppSmith Adds Git Support to Low-Code App Dev Framework appeared first on DevOps.com. View the full article
  8. CloudWatch Synthetics now supports canary scripts in Python programming language with the Selenium open source web automation testing framework. This gives you more choice in the programming language and framework to use when creating canaries in CloudWatch Synthetics. View the full article
  9. The AWS Solutions team recently updated Machine to Cloud Connectivity Framework, a solution that provides secure factory equipment connectivity to the AWS Cloud. It features secure connectivity, fast and robust data ingestion and highly reliable and durable storage of factory equipment data. This solution is easy to deploy, can help reduce machine downtime and increase factory efficiency. View the full article
  10. RESTON, V.a. – Nov. 10, 2020 – SAFE Identity and its healthcare industry-led Policy Management Authority (PMA) have achieved a major milestone in their effort to enable a standards-based, interoperable Trust Framework for digital identities across all stakeholders in the highly distributed healthcare industry. Today, the healthcare industry consortium and certification body announced it has published the new SAFE Identity […] The post SAFE Identity Achieves Major Standards Milestone in Cross-Industry Effort to Complete Interoperable Trust Framework for Digital Identities for Healthcare appeared first on DevOps.com. View the full article
  11. The practice of data science requires the use of machine learning frameworks extensively. Now, this could be for many reasons but largely to automate their processes that drive their business forward. Framework focused solutions mean data scientists don’t always need to have extensive experience in coding and programming languages, and can instead use their expertise in solving bigger problems on their table. Reports show that 85% of data pros have used at least one ML framework... View the full article
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