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Devopsonline
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Entries are now open for The European Software Testing Awards
- The European Software Testing Awards (TESTA) have announced their launch for 2025 and are now accepting entries.
- Entries will be evaluated by a panel of experts using a structured scorecard.
- The finalists will be announced on October 21, and the winners will be revealed at the Gala Awards Night on November 18 in London.
- The awards aim to recognize companies, teams, and individuals who have made significant advancements in software testing and quality engineering.
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Javacodegeeks
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192
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Kubernetes Deployment for Java Developers: Scaling Spring Boot Applications
- Kubernetes deployment is essential for Java developers using Spring Boot to achieve scalability and resilience in modern applications.
- Kubernetes provides automated scaling, self-healing, service discovery, load balancing, and seamless updates for Spring Boot applications.
- To deploy a Spring Boot application on Kubernetes, containerize it using Docker and create deployment and service YAML configurations.
- Scaling Spring Boot applications in Kubernetes is simplified with features like Horizontal Pod Autoscaler for dynamic scaling.
- Managing configuration and secrets in Kubernetes involves using ConfigMaps and Secrets to handle external configurations and sensitive data.
- Monitoring and logging are crucial for maintaining the health of Spring Boot applications in Kubernetes, utilizing tools like Prometheus and Grafana for monitoring.
- Best practices for deploying Spring Boot applications on Kubernetes include using probes, optimizing resource requests, utilizing namespaces, and implementing CI/CD pipelines.
- Opinions and insights from the internet suggest that while Kubernetes may have a steep learning curve, it offers scalability and simplifies deployment for cloud-native applications.
- Sources for further information on Kubernetes, Spring Boot, Docker, and discussions on Reddit and Stack Overflow are provided for additional learning.
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Dev
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242
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Streamlining AWS Deployments: Jenkins & Terraform in Action with the 2048 Game
- The article discusses automating AWS deployments using Jenkins, Terraform, and Docker with a focus on deploying the 2048 game on an EC2 instance.
- It outlines the process of provisioning an EC2 instance, installing necessary tools like Docker, Jenkins, Terraform, and AWS CLI, and configuring security groups and IAM roles.
- The next steps include configuring AWS CLI authentication, setting up Terraform to provision AWS resources, deploying the 2048 game in a Docker container on the EC2 instance, and automating the deployment using Jenkins pipelines.
- The Jenkins pipeline automates checking out code from GitHub, initializing Terraform, SSHing into the EC2 instance, installing Docker, creating a Dockerfile, building and running the Docker container, and finally accessing the application.
- The article emphasizes Infrastructure as Code (IaC) and automation in DevOps workflows for faster, consistent, and scalable deployments.
- Possible improvements suggested include automating cleanup, adding monitoring with tools like Prometheus & Grafana, enhancing security with IAM roles, and implementing Blue-Green Deployments.
- Continuous refinement of CI/CD pipelines leads to efficient, scalable, and production-ready deployments in AWS.
- The article concludes by encouraging readers to stay tuned for more DevOps projects and invites questions and suggestions for further discussion.
- Follow-ups and interactions can be done via Hashnode, Twitter, and LinkedIn.
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Itrevolution
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Leading by Example: Cultivating Learning-Centric Leadership
- Leaders must actively model learning behaviors and embed learning into the organization’s operating model.
- Demonstrating vulnerability and openness to learning as a leader creates psychological safety for others to do the same.
- Transformation to learning-centric leadership requires a mindset shift and embracing key dimensions like vision and supportive leadership.
- Leaders should communicate vision, inspire through stories, stimulate intellectually, provide support, and recognize personal growth.
- Creating 'safe-to-learn' spaces, sharing learning journeys, and building learning into systems are practical actions leaders can take.
- Fostering cross-team learning, measuring leadership impact, and creating sustainable change are crucial for organizational learning success.
- Creating conditions for continuous learning is essential for sustained success in the face of change.
- Leaders should focus on designing for learning, removing barriers, reinforcing success, and staying consistent in promoting learning cultures.
- Leadership plays a critical role in empowering a culture of learning and adaptation, positioning organizations for long-term success.
- Commitment to learning and systematic support are key to fostering an environment where everyone can learn, grow, and contribute.
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Dev
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34
Image Credit: Dev
ConfigMaps vs Secrets: Secure Configuration Management in Kubernetes
- ConfigMaps in Kubernetes are used for storing non-sensitive configuration data.
- Storing sensitive information in ConfigMaps poses security risks due to data exposure.
- Kubernetes Secrets provide an encrypted and secure alternative for storing sensitive data.
- Best practices for managing Secrets include regular auditing, credential rotation, and strict network policies.
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Dev
1d
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No More Hardcoded Secrets: Automatic Database Credential Rotation with Vault, AKS and Postgres🔐
- This article discusses setting up HashiCorp Vault in an AKS cluster and utilizing dynamic secrets to mitigate risks associated with static credentials.
- It demonstrates deploying PostgreSQL in the AKS cluster using Helm, integrating Vault's database secrets engine for short-lived credentials, and syncing them using externalSecrets and vaultDynamicSecrets.
- Steps include creating a non-root user in the database for interactions between Postgres and Vault and setting up dynamic roles in Vault for credential generation.
- Vault's leasing mechanism assigns Time To Live (TTL) to dynamic secrets, ensuring validity for a specified period and automated rotation after expiration.
- Configuring VaultDynamicSecret and ExternalSecret resources enables natively fetching dynamic credentials from Vault's database secrets engine in the AKS cluster.
- By using dynamic secrets, the article emphasizes on enhanced security, automatic credential rotation, and seamless injection of credentials into Kubernetes pods via ExternalSecrets.
- The approach eliminates the need for hardcoded database passwords, reduces security risks from leaked credentials, and automates the rotation process.
- The implementation ensures Kubernetes workloads are safer, scalable, and efficiently manage sensitive data with automated processes.
- The overall setup enhances secrets management, providing ephemeral credentials that are time-bound, automatic, and secure.
- The article's detailed guide helps in understanding dynamic secrets and automated credential rotation in Kubernetes, emphasizing enhanced security measures.
- By following the steps outlined, users can build smarter, more secure cloud solutions with automated secrets management in Kubernetes.
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Dev
1d
11
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Deploy-Kubernetes-using-ConfigMaps-and-Helm
- Creating well-structured, declarative, and reusable deployments within Kubernetes is crucial for productivity.
- This article focuses on deploying applications on a Kubernetes cluster using ConfigMaps and Helm.
- ConfigMaps manage application settings, while Helm is used as a package manager for defining, installing, and managing applications.
- Key steps include creating custom Docker images, deploying Nginx ConfigMap, applying implementation, and creating a Helm project.
- The process involves building and deploying Docker images, creating namespaces, and configuring ConfigMaps in Kubernetes.
- Helm is used to generate deployable manifest files for Kubernetes, allowing for better deployment management.
- By utilizing Helm templates, developers can create reusable deployment configurations for different environments.
- The article provides detailed commands for executing tasks like applying manifests, testing services, and managing Helm deployments.
- Overall, the process involves creating, deploying, and managing Kubernetes applications efficiently using ConfigMaps and Helm.
- For further details and access to the code repository, refer to the provided GitHub link.
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Dev
1d
209
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Optimizing Amazon CloudWatch Costs for High-Traffic Lambda Functions with Advanced Logging Controls
- High-traffic Lambda functions can increase CloudWatch costs, necessitating Advanced Logging Controls for optimization.
- CloudWatch log groups have different storage classes with varying costs in regions like Ireland.
- Controlling data ingestion into log groups is crucial for cost management, impacting the bill based on metrics like DataProcessing-Bytes.
- Analyzing the size of log messages and optimizing what data is ingested into log groups can reduce costs at scale.
- Application logs and system logs generated by Lambda functions contribute to CloudWatch costs.
- Setting up retention policies and managing log levels can help optimize costs and comply with organizational guidelines.
- Using proper JavaScript console methods and log levels can enhance Advanced Logging Controls and reduce unnecessary logs.
- Automation through Systems Manager Runbooks enables temporary log level adjustments for debugging and cost control.
- Monitoring CloudWatch costs using Cost Explorer and tracking metrics like DataProcessing-Bytes is essential for efficient cost management.
- Adopting best practices like tracking metrics, managing log levels, and utilizing automation tools can help strike a balance between compliance and cost efficiency.
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Dev
2d
260
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Surviving Kubernetes Pod Evictions: Managing Resources, Priorities, and Stability
- Kubernetes uses pod eviction to handle tough decisions during resource constraints, optimizing workload resilience.
- Quality of Service (QoS) classes categorize pods into Guaranteed, Burstable, and BestEffort based on resource definitions.
- Node-pressure eviction is triggered automatically when a node faces resource shortages, preventing unresponsiveness.
- Eviction thresholds can be set in the kubelet configuration to manage node-pressure eviction efficiently.
- Factors like QoS class, pod priority, and graceful termination influence node-pressure eviction decisions.
- API-driven eviction, initiated manually, is used by users or controllers to request pod removal in Kubernetes.
- Pod priorities, preemption, and disruption budgets play a crucial role in API-driven evictions for workload management.
- Kubernetes prioritizes higher-priority pods during scheduling by preemption, ensuring critical workloads get resources.
- Understanding node-pressure eviction, API-driven eviction, and pod priorities helps optimize workload distribution in Kubernetes.
- By mastering pod eviction mechanisms, Kubernetes ensures cluster stability and efficiency under pressure scenarios.
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Hackernoon
2d
386
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A DevOps Approach to AEM Packages: Automating Creation, Configuration, and More
- Adobe Experience Manager (AEM) packages simplify content management by bundling code, configurations, and content, but the manual process can be cumbersome.
- A Bash script automates AEM package management via the Package Manager API, streamlining creation, configuration, and backup tasks.
- Core functionalities include package validation, dynamic filter injection, build automation, error handling, and authentication support.
- Benefits of automation include efficiency, consistency, and traceability in package creation and distribution.
- Practical applications include scheduled backups, environment synchronization, and pre-update snapshots in AEM instances.
- The script handles input parameters, package validation, dynamic filter configuration, and build/download workflows for AEM packages.
- Error handling, security considerations, and logging mechanisms ensure the script behaves predictably and securely.
- Customization options include adjusting backup filenames, expanding filters, enhancing security, and adding post-build actions or notification alerts.
- The automation script reduces human errors, offers flexibility in use cases, and prioritizes resilience through logging and error checks.
- The tool provides a foundation for customization to meet specific team needs, promoting productivity and operational consistency in AEM operations.
- By automating package creation, the script enables teams to focus on higher-value tasks, adapt to various workflows, and maintain predictability and reliability.
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Medium
3d
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Stop Writing Long Docker Build Commands — Use This Instead
- Docker Bake, the build orchestration tool, is now available in General Availability.
- Docker Bake allows the definition of build stages and deployment environments in a declarative file.
- It simplifies complex builds and utilizes BuildKit's features for faster build times.
- With Docker Bake, multiple docker images can be built with different platforms, flags, and options using a single command.
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Dev
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How to Provide Storage for a New Company App
- Setting up storage for a new business app on Microsoft Azure is crucial for managing user data efficiently.
- Instructions include creating a storage account and a managed identity for the web app, setting permissions, and securing access with a key vault.
- Creating a key vault, generating a customer-managed key, and configuring the storage account to use the key are essential steps.
- Additional tasks involve setting up a time-based retention policy, encryption scope, and applying encryption to containers.
- Azure Blob Storage offers scalability and robust security features to ensure data management for your new app.
- Start with small storage needs and scale up as your application grows to optimize performance.
- Monitoring storage requirements is recommended for efficient management and scalability.
- By following these steps, you can ensure the successful implementation of storage solutions for your new business app on Microsoft Azure.
- Microsoft Azure provides reliable storage solutions suitable for apps of various sizes, from startups to enterprise-level products.
- Properly configured storage accounts with key vault integration and encryption ensure data security and integrity.
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Hackernoon
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How to Scale AI Infrastructure With Kubernetes and Docker
- Organizations are increasingly relying on scalable and resilient AI infrastructures to meet cloud requirements.
- Kubernetes and Docker are widely used for scalable AI infrastructures due to their effectiveness.
- Scalability is crucial for handling growing workloads and data volumes in AI systems.
- Kubernetes and Docker ensure optimized performance and effective resource management for AI applications.
- Containerization plays a key role in the evolution of scalable AI infrastructure.
- Defining a Dockerfile and building a Docker image are essential steps in deploying AI models.
- Kubernetes provides orchestration features for efficient application management in containerized infrastructures.
- Horizontal and vertical scaling with Kubernetes allows for maximizing resource utilization and performance.
- Horizontal scaling involves adding replicas to handle higher workloads dynamically.
- Horizontal Pod Autoscaler (HPA) facilitates automatic scaling based on CPU or memory usage in Kubernetes.
- Vertical scaling adjusts resource requests and limits for containers in Kubernetes to provide more resources.
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Dev
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323
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🚀 Week 7 Recap: Learning in Public – Mastering Docker & Containerization 🚀
- This week, I focused on Docker containerization, mastering everything from Docker setup to containerized microservices deployment.
- Key Learnings: Explored Docker containerization and core concepts, worked with Docker logs, volumes, and Dockerfiles.
- Docker Compose: Set up Docker Compose to manage multi-container applications.
- CI/CD with Docker: Integrated AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline for seamless deployment of Dockerized microservices.
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Dev
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139
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Save Time and Money by Shifting HIPAA Compliance Checks Left with CDK-Nag
- CDK-Nag allows you to check your infrastructure before it's deployed, preventing potential issues and saving time and money.
- To use CDK-Nag, you need to install it and import and setup rules and packs in your CDK project.
- It is recommended to use the NagReportLogger provided with CDK-Nag or develop your own logger to output the issues in a structured format like JSON or CSV.
- CDK-Nag provides rule packs for NIST 800-53 rev 4, NIST 800-53 rev 5, and PCI DSS 3.2.1, with the ability to create custom rules as well.
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