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How Project Managers Can Make Developers’ Lives Easier (Instead of Harder)

  • Good project managers actively remove obstacles and create an environment where developers can work efficiently.
  • Minimize unnecessary meetings by utilizing async updates and keeping structured, to-the-point meetings when necessary.
  • Shield developers from distractions by acting as a buffer and filtering out unnecessary interruptions.
  • Set clear and realistic expectations, prioritize work effectively, and understand the development process to facilitate smooth workflow.

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Becoming a Better Leader Part 1: Leadership in the Digital Age

  • Leadership in the digital age is shifting towards a more adaptive model that prioritizes inclusion, diversity of thought, and creativity.
  • Modern leaders understand the importance of empathy, emotional intelligence, and creating psychological safety for their teams.
  • Successful organizations embrace a 'generative' culture characterized by cooperation, shared risks, and cultivation of new ideas.
  • Leadership qualities such as adaptability, caring about outcomes, and valuing growth through transformational leadership are crucial today.
  • Today's leaders focus on creating environments that support experimentation, learning, and adaptability over rigid planning.
  • They prioritize developing 'T-shaped' individuals with broad knowledge and deep expertise, encourage cross-functional learning, and flexible work environments.
  • Leadership now involves focusing on 'owned efforts' rather than 'owned time' and promoting peak performance whenever it occurs.
  • Self-reflection, listening, fostering honest dialogue, creating growth opportunities, and demonstrating care are key actions for effective modern leadership.
  • Continuous learning, embracing change, promoting psychological safety, and building trust through understanding are foundational for successful leadership in the digital age.
  • The evolution of leadership requires leaders to lead through influence, prioritize understanding, and enable growth and contribution within their teams.

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Bridging the Gap: How Project Management Can Solve Developers’ Biggest Challenges

  • Developers often face challenges such as unclear project requirements, unrealistic deadlines, scope creep, poor communication, and lack of task prioritization.
  • To address unclear project requirements, implementing Agile methodologies and using project management tools for documentation and collaboration can help.
  • To tackle unrealistic deadlines and burnout, utilizing sprint planning, workload tracking, and promoting open communication are recommended solutions.
  • To manage constant scope creep, implementing change control processes, Agile frameworks like Kanban, and thorough documentation can assist.

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Lambdatest

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Top 34 DevOps Monitoring Tools For 2025

  • DevOps monitoring is essential for observing the performance and behavior of software applications and infrastructure in a DevOps environment.
  • Finding the right DevOps monitoring tools is crucial for effective software development and operations efficiency.
  • DevOps monitoring tools help in tracking data like software application logs, server metrics, user feedback, and network traffic data.
  • These tools provide real-time insights into software performance, enabling teams to identify and resolve issues promptly.
  • Several top DevOps monitoring tools include Sensu, Jenkins, PagerDuty, Liquibase, and Tasktop Integration Hub.
  • Tools like Middleware, Librato, Prometheus, Kibana, and Splunk offer unique features for monitoring and managing infrastructure and applications.
  • Functionality like alerting, logging, tracing, and analytics play key roles in enhancing software performance and reliability.
  • Choosing the best DevOps monitoring tools involves considering factors like full-stack observability, integration capabilities, scalability, and flexibility.
  • DevOps monitoring tools aid in automating processes, minimizing downtime, and improving overall efficiency of software development and operations.
  • Understanding the significance of DevOps monitoring and selecting the right tools is crucial for successful software development and delivery.

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Deploying a Microservices Stock Trading Application on AWS with Terraform, Kubernetes & Helm

  • The author shares their experience of building a cloud-native stock data management system using Spring Boot and MySQL.
  • After testing the application using docker-compose, they decided to deploy it on AWS EKS using Terraform, Kubernetes, and Helm.
  • Infrastructure provisioning involved setting up the AWS environment with Terraform code, including EKS cluster, networking, IAM roles, Ingress controller, VPC, and more.
  • After provisioning, the author configured kubectl for the EKS cluster, created and set the namespace, obtained the public IP of the Nginx Ingress Controller, and updated the application's Ingress configuration.
  • Accessing the application was done through the frontend public FQDN, which directed to the application running behind Nginx Ingress.
  • The author suggests exploring the code and experimenting with the API to interact with the stock trading graphs provided by the application.
  • Security considerations were highlighted, emphasizing the importance of best practices like using environment variables, secrets management tools, and cloud provider-specific encryption solutions for database credentials.
  • Additionally, the author mentions a bonus project where the deployed application was used to create Helm charts for further learning.

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How To Mount an Amazon Elastic File System on Amazon CodeBuild From Another VPC

  • Mounting an Amazon EFS (Elastic File System) in the CodeBuild runner on the fly might be useful if you need to persist data across builds, run integration tests if the file system is used across multiple services, or manage large files efficiently.
  • In this guide, the steps to mount an EFS on a CodeBuild ephemeral host in a different VPC are explained.
  • The prerequisites for mounting an EFS in CodeBuild include having access to the CodeBuild runner, configuring the CodeBuild project inside a VPC, connecting the VPCs, ensuring both VPCs are in the same region, running the CodeBuild project in privileged mode, and having the AWS CLI properly configured.
  • The process involves configuring the EFS, mounting the EFS, and testing the EFS to ensure successful execution of the setup.

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How I Built a Cloud Startup When Everyone Said It Was Impossible

  • Nife.io, a distributed cloud computing platform, was built despite skepticism from others.
  • The founder aimed to simplify cloud infrastructure and automate deployment decisions.
  • Nife.io integrates with cloud providers and edge networks to automate deployment decisions.
  • The future of cloud is seen as being multi-cloud, automated, and developer-driven.

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How to Add a Data Disk to a Virtual Machine in Microsoft Azure using the Azure Portal

  • To add a data disk to a VM in Microsoft Azure using the Azure Portal, follow these steps:
  • Step 1: Navigate to the Virtual Machine
  • Step 2: Add a Data Disk
  • Step 3: Configure the Data Disk
  • Step 4: Initialize and Format the Disk in the VM
  • Conclusion: We have successfully added a data disk to the Azure VM.

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Deploying AWS RDS Instances with Terraform: MySQL and PostgreSQL

  • This article demonstrates how to provision AWS RDS instances for MySQL and PostgreSQL using Terraform.
  • By utilizing Infrastructure as Code (IaC), this process allows for consistent and reproducible infrastructure deployments.
  • The tutorial covers the prerequisites, configuration, and deployment steps necessary to create RDS instances for both MySQL and PostgreSQL.
  • Using Terraform's Infrastructure as Code capabilities, developers can automate the deployment of RDS instances in AWS and create reproducible environments.

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Google Cloud Run vs Sliplane - Comparison of two container hosting services

  • Google Cloud Run (GCR) and Sliplane are container hosting services with different focuses and features.
  • Google Cloud Run offers serverless deployment, excellent scalability, but unpredictable pricing and cold starts for idle services.
  • Sliplane provides fixed resources, reliable performance, and is ideal for startups, SMBs, and solo developers with predictable pricing.
  • Google Cloud Run is suitable for enterprises with high scalability needs and fluctuating workloads while Sliplane targets simplicity and affordability.
  • GCR's serverless model scales automatically based on demand, supports up to 8 vCPUs and 32 GB memory, with a global deployment option.
  • Sliplane offers servers that stay up until deleted, limited scalability, and manual horizontal scaling with server options up to 16 vCPUs and 32GB RAM.
  • GCR has SLA-backed reliability, with refund policies based on uptime levels while Sliplane exhibits rock-solid reliability without SLAs.
  • Google Cloud Run's pricing is complex, offering instance-based and request-based billing depending on compute and resources used.
  • Sliplane's pricing is straightforward, charging per server with additional costs for extra bandwidth, making it predictable and cost-effective.
  • In summary, GCR suits enterprises with scalability demands, while Sliplane targets startups and small businesses seeking simplicity and cost-effectiveness.

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Deploying a Static Website on AWS S3 & EC2 Using Terraform" published: true

  • Infrastructure as Code (IaC) simplifies cloud management.
  • This guide demonstrates how to automate the deployment of a static website on AWS S3 and create an EC2 instance using Terraform.
  • The process covers steps like S3 bucket creation and hosting, configuring public access policy, creating an EC2 instance, and using variables and outputs.
  • By following this guide, you can easily deploy a static website and EC2 instance in a reproducible and scalable manner using Terraform.

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Mastering Kubernetes: Become a Pro in K8s Deployments

  • Kubernetes is essential for managing containerized applications efficiently, but mastering it involves performance optimization, security hardening, and operational best practices.
  • Optimizing Kubernetes for high performance is crucial to prevent bottlenecks and ensure a seamless user experience, focusing on resource requests, limits, and using tools like Vertical Pod Autoscaler.
  • Efficiently scaling pods with Horizontal Pod Autoscaler and optimizing node performance through node affinity, taints/tolerations, and resource bin packing are key strategies.
  • Enhancing storage performance, monitoring network performance, leveraging caching, and debugging failing pods and network issues are crucial aspects covered in mastering Kubernetes.
  • Hardening Kubernetes security involves Role-Based Access Control (RBAC), enforcing pod security best practices, and leveraging tools like Open Policy Agent and Kyverno.
  • Exploring advanced deployment strategies such as Canary and Blue-Green Deployments, along with Kubernetes observability through logging, monitoring tools like Fluentd, Elasticsearch, Grafana, and Prometheus.
  • Cost optimization strategies in Kubernetes include right-sizing clusters with tools like Goldilocks, utilizing spot instances for non-critical workloads, and leveraging additional resources like CheatStack on GitHub.
  • By mastering these advanced strategies, you can transform your Kubernetes deployments into efficient, secure, and cost-effective systems, ensuring optimal performance and scalability.
  • ArpitStack, passionate about simplifying developer workflows, shares innovative projects like SecretStack and CheatStack, offering valuable resources to enhance Kubernetes expertise and streamline operations.

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🚀 Week 9: Kubernetes Application Deployment – Learning in Public ☸️

  • This week, I dived deep into Application Deployment using Kubernetes, mastering the end-to-end process of running applications in a K8s cluster with real-world hands-on projects.
  • Key Learnings & Implementations:
  • Kubernetes Architecture & Deployment Fundamentals, Managing application secrets securely with K8s Secrets, Persistent Volume Claims (PVC) for database storage
  • Deploying Core Applications in Kubernetes, MySQL App & Service – Persistent storage for stateful apps, RabbitMQ App & Service – Message queue for microservices, Tomcat App & Service – Deploying Java-based web applications
  • Networking & Load Balancing, Configuring Ingress for external access, Load balancing traffic efficiently for high availability
  • Complete Kubernetes Deployment Workflow, K8s Cluster Setup & Source Code Management, Deploying Applications on Kubernetes Cluster with automation
  • Hands-on Projects Implemented: Multi-service application deployment using Kubernetes, End-to-end setup of a cloud-native app

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Introduction to Docker: Simplifying Containerized Applications

  • Docker has become an essential tool for building, shipping, and running applications seamlessly across different environments.
  • This article introduces key Docker concepts including Dockerfile, Docker Network, Docker Volume, and Docker Compose.
  • Each section includes hands-on examples to help understand these concepts.
  • Mastering these concepts enables efficient containerization of applications, improves scalability, and streamlines deployment processes.

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🛡️ Centralized Backup Solution in AWS Organization - Because One Backup is never enough!

  • Data loss can be catastrophic for organizations due to accidental deletion, cyberattacks, or system failures.
  • The AWS Central Backup Account ensures automatic copying of all backups from an AWS Organization to a dedicated account for added protection.
  • Benefits include ultimate backup resilience, ease of compliance, automation of backup processes, backup security, and automated alerts for monitoring.
  • The solution addresses issues such as backup loss, manual backup copying, visibility on failures, and cross-account backup key management.
  • The architecture involves multiple accounts, including application accounts, backup vaults, backup copy jobs, Lambda functions, EventBridge, and a Central Backup Account.
  • Prerequisites for deployment include an AWS Organization, cross-account monitoring, dedicated AWS Backup Account, and enabled resources for cross-account backup.
  • Deployment steps involve creating backup vaults, setting up Customer Managed KMS Keys, configuring AWS Backup in member accounts, deploying Lambda functions, and setting up EventBridge for monitoring.
  • Implementing this Centralized AWS Backup Solution enhances automation, security, and notifications, eliminating manual backup tasks and compliance concerns.
  • Considerations include scheduling backup jobs to avoid conflicts with maintenance or automated backup windows for RDS databases.
  • Overall, the solution offers a comprehensive approach to backup management, ensuring data protection and operational efficiency.

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