Devops latest news and discussion articles on Techminis

A naukri.com initiative

New

Home

Devops News

Dev

217

Image Credit: Dev

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.

Read Full Article

13 Likes

Dev

Image Credit: Dev

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.

Read Full Article

3 Likes

Hashicorp

108

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.

Read Full Article

6 Likes

The New Stack

137

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.

Read Full Article

8 Likes

Dev

Image Credit: Dev

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.

Read Full Article

1 Like

Medium

267

Image Credit: Medium

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.

Read Full Article

16 Likes

The New Stack

334

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.

Read Full Article

20 Likes

Codecondo

363

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.

Read Full Article

21 Likes

Itrevolution

372

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.

Read Full Article

22 Likes

Dev

Image Credit: Dev

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.

Read Full Article

2 Likes

Medium

360

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.

Read Full Article

21 Likes

Dev

Image Credit: Dev

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.

Read Full Article

4 Likes

Dev

403

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.

Read Full Article

24 Likes

Dev

Image Credit: Dev

My First AWS EC2 Instance: From Stumbles to a Running Nginx Server

Launching an EC2 instance and hosting a web server is a part of the DevOps journey.
The plan includes launching an EC2 instance, connecting via SSH, and setting up an Nginx web server.
Challenges faced: wrong AMI selection and port problems.
Key takeaways: choosing the right AMI, setting up correct inbound rules for ports, and enjoying troubleshooting in DevOps.

Read Full Article

1 Like

Dev

Image Credit: Dev

Solve problem for dynamic Elixir cluster - ClusterHelper

Developing a dynamic Elixir cluster on Kubernetes (K8s) can be challenging due to the dynamic nature of K8s and the changing IP and hostname of pods.
The ClusterHelper library has been created to address this challenge by mapping roles or IDs to Elixir node names at runtime.
This library allows for automatic updating of node roles when a node joins the cluster and provides a way for other nodes to lookup Elixir node names when needed.
Using ClusterHelper and the EasyRpc library, scaling the number of Elixir nodes (pods on K8s) becomes easier, as there is no need to worry about Elixir node names or mapping them on K8s.

Read Full Article

For uninterrupted reading, download the app

Devops News

Discover more