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Devops News
Dev
1w
315
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DevOps Made Simple: A Beginner’s Guide to Zero Trust Security Model for Cloud & DevOps Teams
- Zero Trust is a cybersecurity strategy that eliminates implicit trust and continuously validates every request.
- Zero Trust works by applying security at every layer of a cloud environment, ensuring that threats do not spread.
- Real-world applications of Zero Trust in DevOps include securing CI/CD pipelines, protecting cloud resources, and strengthening API security.
- Best practices for implementing Zero Trust include implementing multi-factor authentication, using IAM policies for least privilege access, enabling zero-trust network access, and automating security scans and compliance checks.
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Kubernetes
1w
25
Ingress-nginx CVE-2025-1974: What You Need to Know
- The ingress-nginx maintainers have released patches for critical vulnerabilities in Kubernetes.
- Ingress-nginx is a popular software-only ingress controller that is deployed in over 40% of Kubernetes clusters.
- The vulnerabilities allow attackers to take over the Kubernetes cluster.
- Action should be taken immediately by upgrading to the new patch release of ingress-nginx or disabling the Validating Admission Controller feature.
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1 Like
Dev
1w
219
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Enhancing Software Delivery: Integrating Containerization and Infrastructure as Code into CI/CD Pipelines (2/4)
- Integrating containerization into CI/CD pipelines enhances scalability, consistency, and deployment speed.
- Container builds and deployments can be integrated using tools like Jenkins, GitLab CI, and AWS CodePipeline.
- Automated testing strategies for containers include unit testing, integration testing, and end-to-end testing.
- Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation help in managing infrastructure with consistency, repeatability, and automation.
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13 Likes
Dev
1w
50
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Best Project Management Tools in 2025: Features, Pricing & Pros/Cons
- Project management tools are crucial for businesses in 2025, offering automation and real-time analytics.
- ClickUp provides customizable task management, AI automation, and integrations.
- Monday.com offers visual project tracking, custom workflows, and scalable pricing.
- Trello excels in simple task management with Kanban boards and drag-and-drop features.
- Asana is ideal for advanced task tracking, automation, and collaboration.
- Jira suits Agile teams with agile boards, bug tracking, and GitHub integration.
- Notion combines project management and note-taking for flexible workspace.
- Airtable is great for database-powered project management with customizable views.
- Middleware is a specialized tool for tracking engineering productivity with DevOps teams.
- Various project management tools cater to different needs, from simplicity to advanced automation.
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Hashicorp
1w
109
Image Credit: Hashicorp
Unlocking the potential of Microsoft Fabric with Terraform
- Microsoft Fabric is an enterprise-ready, end-to-end analytics platform that unifies data movement, processing, and report building.
- The Terraform provider for Microsoft Fabric allows for streamlined infrastructure management, automation, scalability, and governance.
- Key use cases for the Terraform provider include governance and compliance, deployment at scale, DevOps and Infrastructure Lifecycle Management, and tenant management.
- Future iterations aim to integrate HashiCorp Vault for enhanced data security and compliance.
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6 Likes
The New Stack
1w
139
Image Credit: The New Stack
Changed Block Tracking Is Here for Kubernetes Resilience
- Kubernetes has introduced changed block tracking (CBT) to improve data protection and resiliency.
- The Kubernetes Data Protection Working Group (DPWG) has worked on integrating CBT into the Container Storage Interface (CSI) specification.
- CSI 1.11.0 now includes CBT via the SnapshotMetadata service, allowing storage vendors and backup projects to adopt it.
- Kubernetes CSI CBT enhances the combination of cloud native storage and backup, helping it compete with traditional industry solutions for business continuity.
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8 Likes
Dev
1w
29
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The Million-Dollar Problem of Slow Microservices Testing
- Shifting integration tests from the slow outer loop to the rapid inner loop can transform development processes in organizations.
- A VP of platform engineering highlighted losing about half a million dollars monthly due to their broken testing process.
- Their integration testing was disconnected from the PR review process, leading to significant productivity losses.
- The traditional solution of spinning up more environments was deemed costly and ineffective in solving the fundamental problem.
- Microservice architectures create a dilemma for engineering teams, balancing scalability with diminishing developer productivity.
- The outer loop of integrating changes, running full system tests, and deploying becomes a major productivity killer.
- Challenges in the outer loop include an integration bottleneck, context switch penalties, and waiting times due to access controls.
- Traditional approaches like creating more environments are not scalable and lead to bottlenecks and productivity drains.
- A modern approach using tenancy-based environments with service mesh technology can dramatically improve testing efficiency.
- By providing isolated testing environments for every pull request, organizations can enhance developer productivity and software quality.
- Handling data isolation challenges is crucial, with shared databases and ephemeral database instances being viable solutions.
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1 Like
Medium
1w
270
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AWS Cloud Automation with Python & Boto3
- Python with boto3 is a powerful AWS automation tool for infrastructure provisioning, cost analysis, and more.
- Installing boto3 and configuring AWS credentials is the first step towards AWS automation.
- The article provides practical examples and steps for automating tasks like EC2 instance provisioning and AWS billing reporting with Python and boto3.
- Automation with Python and boto3 simplifies AWS management, enhances efficiency, and reduces manual effort.
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16 Likes
The New Stack
1w
337
Image Credit: The New Stack
KubeCon EU 2025: Aviatrix’s Enterprise Firewall for Kubernetes
- Aviatrix will be demonstrating its new Kubernetes firewall at KubeCon+CloudNativeCon EU in London.
- The Aviatrix Kubernetes Firewall brings enterprise-levels of control to Kubernetes cloud, multi-cloud, and hybrid cloud deployments.
- Key features include granular identity-based security, unified hybrid and multicloud visibility, integrated security for VMs and Kubernetes, egress traffic control and compliance, and automated policy management.
- The service works with Amazon Web Services, Azure, Google Cloud, and on-prem environments.
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Codecondo
1w
367
Image Credit: Codecondo
How to Build a Strong QA Culture in DevOps
- DevOps emphasizes speed and efficiency in software development, but quality is essential for success.
- QA in DevOps ensures software meets quality standards throughout the development lifecycle.
- Key elements of a strong QA culture in DevOps include shift-left testing and continuous testing.
- Cross-team collaboration between developers, QA engineers, and operations is crucial for a strong QA culture.
- Automation, quality metrics, and monitoring play vital roles in maintaining quality in DevOps.
- Steps to build a strong QA culture include educating teams, promoting peer reviews, and leveraging the right tools.
- Advocating for TDD, fostering a blameless culture, and sustaining best practices are crucial for QA culture.
- Regularly assessing and optimizing test effectiveness, encouraging exploratory testing, and supporting cross-functional skill growth are key for sustaining a QA culture.
- QA should be integrated into every phase of development to deliver fast, reliable, and user-friendly software in DevOps.
- Continuous learning and leveraging resources like the DevOps E-Degree can enhance QA practices and contribute to DevOps success.
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22 Likes
Itrevolution
1w
376
Image Credit: Itrevolution
Becoming a Better Leader Part 4: Growing Leadership at All Levels
- Informal leaders, who lead through expertise and influence, are becoming increasingly important in modern organizations, shaping how teams work and influencing organizational changes.
- Effective informal leaders blend technical competence with strong organizational understanding, build coalitions, focus on team success, and shape culture through their actions.
- In digital enterprises, leaders need to value diversity, focus on outcomes, care about impacts, enable generalist skills, and promote inclusion and contribution.
- Creating opportunities for leadership growth involves radical delegation, giving decision-making authority to those closest to the work, and developing leaders who inspire owned efforts.
- Leadership development should focus on creating environments for innovation, supporting flexible work patterns, and enabling rather than controlling employees.
- Organizations with generative cultures that promote psychological safety are better at developing leadership capacity by welcoming new ideas and treating failures as learning opportunities.
- Transformational leadership involves individualized consideration, coaching individuals to discover solutions, providing regular feedback for growth, and offering stretch assignments.
- Measuring leadership development involves assessing how individuals handle challenges, grow in navigating complexity, collaborate, solve cross-functional problems, and promote team health.
- Leadership development should be an ongoing practice woven into daily work, using real challenges for development, creating forums for practice, and balancing adaptation with stability in digital transformations.
- Growing leadership at all levels in the organization involves identifying informal leaders, providing opportunities for leadership initiatives, supporting growth through mentoring, coaching, and modeling desired leadership behaviors.
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22 Likes
Dev
1w
33
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The Future of Tech: Where Cloud Native Meets Artificial Intelligence
- Cloud Native Artificial Intelligence (CNAI) combines Cloud Native computing with Artificial Intelligence (AI) for a seamless system.
- Cloud Native emphasizes building adaptable and scalable software for the cloud using microservices and containers.
- AI has evolved significantly, with breakthroughs like deep learning and neural networks enhancing its capabilities.
- CNAI leverages Cloud Native principles to enhance the scalability and efficiency of AI systems.
- Challenges in CNAI include data preparation, computational demands, latency issues, and user experience complexities.
- Solutions are being developed, such as Kubeflow for AI pipeline streamlining and tools for better management of resources.
- AI is reciprocating by enhancing Cloud Native operations, facilitating smarter orchestration and resource management.
- Embracing the synergy between Cloud Native and AI offers opportunities for innovation, automation, and responsible AI development.
- The future holds potential for new roles, simplified tools, and a more interconnected and efficient tech landscape.
- As CNAI gains momentum, its impact on various sectors and daily life is set to be transformative and empowering.
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2 Likes
Medium
1w
364
Image Credit: Medium
Why Hiring More Developers is the Biggest Mistake for Team’s Performance. Do This Instead.
- Hiring more developers to improve team performance is a common mistake in the software industry.
- Adding more developers to a low-performance project can make the situation worse.
- Excessive working hours and unproductive environment led to the decision of hiring more developers.
- Understanding team dynamics and avoiding blind hiring is crucial for effective project management.
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21 Likes
Dev
1w
67
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DevOps Made Simple: A Beginner’s Guide to Monitoring Kubernetes Clusters with Prometheus & Grafana
- Kubernetes has become the backbone of modern cloud-native applications.
- Prometheus is an open-source monitoring and alerting toolkit designed for cloud-native environments. Grafana is an open-source visualization tool that works seamlessly with Prometheus.
- The step-by-step guide to monitoring Kubernetes clusters with Prometheus and Grafana includes installing the tools using Helm, exposing the services, configuring Grafana to use Prometheus as a data source, and creating a Kubernetes monitoring dashboard.
- Real-world applications of Prometheus and Grafana in DevOps include performance monitoring, alerting, capacity planning, and security monitoring.
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4 Likes
Dev
1w
406
Image Credit: Dev
AWS EC2 Beginner's Guide: All the Information You Need
- AWS EC2 is a popular cloud computing service from AWS that offers scalable processing capacity.
- Developers and companies choose AWS EC2 for its scalability, cost effectiveness, flexibility, reliability, and security features.
- AWS EC2 can be used for various applications such as web hosting, machine learning, gaming servers, and application development and testing.
- AWS offers different instance types tailored for specific workloads, and security groups act as virtual firewalls to control incoming and outgoing traffic.
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24 Likes
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