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Packaging and Distributing a Rust CLI for All Platforms - A Case Study with Tooka

The author built a Rust CLI tool named Tooka and shared insights on compiling for Windows, Linux, macOS, packaging, and distribution.
Tooka is a CLI tool for sorting files via YAML-based rules without external dependencies for easier cross-platform packaging.
GitHub setup included basic files like README, LICENSE, CODE_OF_CONDUCT, and renovate.json for dependency management.
GitHub Actions were used to build Tooka for multiple platforms and package it into various formats like .deb, .rpm, .dmg, .msi, and .AppImage.
A real-world issue faced was GLIBC incompatibility between newer and older Linux distributions, which was debugged using a Docker container.
Tooka was distributed through Snap Store, Winget for Windows, AppImageHub, AUR (Arch User Repository), and Cloudsmith for APT/RPM repos.
Snapcraft setup was complex but automated builds can be done via GitHub, AUR involved manual updates for non-git versions, and AppImage hosting was done on GitHub releases.
Winget setup required a Windows system and Cloudsmith was used for hosting APT/RPM repositories, with a GitHub Action for automatic uploads.
Docker support was provided for Tooka with a Dockerfile for containerized usage and reproducible testing.
The author is still exploring Homebrew and Nix support, while maintaining a minimal download page for Tooka.
Feedback is welcomed on the project for improvements or contributions, as the author continues learning Rust and packaging.

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Dev

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Getting Started with Kubernetes

Kubernetes is an open-source container orchestration platform designed to automate deployment, scaling, and management of containerized applications.
It helps run apps across multiple machines, handling load balancing, service discovery, scaling, and ensuring reliability.
Kubernetes architecture includes a master-worker setup with control plane and worker nodes.
Managed services like Amazon EKS simplify operations by managing the control plane.
Key components in EKS include API Server, Scheduler, Controller Manager, etcd, and Kubelet.
Pods are the smallest deployable unit, deployments manage pod lifecycle, and services define groups of pods for access.
ConfigMaps store non-sensitive config data, while secrets store sensitive information.
Consider scalability, distributed architecture, high availability, containerized workloads, and infrastructure needs before using Kubernetes.
If your application aligns with Kubernetes requirements, you can proceed with container orchestration using Kubernetes.
Happy clustering!

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Dev

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Beyond the Black Box: Mastering Serverless Debugging and Observability

The article discusses advanced debugging and observability strategies for modern serverless architectures.
Challenges in serverless applications include issues like cold starts, distributed execution, and a perceived 'black box' infrastructure.
Effective troubleshooting begins with evolving from basic monitoring to comprehensive observability.
Distributed tracing, through tools like OpenTelemetry and AWS X-Ray, helps visualize request paths in complex serverless workflows.
Structured logging and contextual information inclusion enhance log effectiveness in serverless environments.
Custom metrics and synthetic monitoring aid in gaining deeper insights and proactively identifying issues.
Advanced debugging techniques, such as local emulation, remote debugging, and visualizing workflows, ensure effective issue resolution.
Third-party observability platforms and native tools from cloud providers contribute to improving serverless monitoring.
The article provides code examples for implementing distributed tracing with OpenTelemetry and structured logging in Python Lambda functions.
Best practices for serverless debugging include designing for observability, implementing robust error handling, automating testing, and leveraging Infrastructure as Code (IaC).

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Dev

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Understanding Process Signals in Linux

Process signals in Linux are short messages sent to programs to instruct them to do specific actions like stop or restart.
Signals allow communication with processes using unique Process IDs (PIDs) in Linux.
Common reasons to use signals include stopping unresponsive programs, gracefully shutting down, restarting services, and pausing or resuming tasks.
One real-life use case for process signals is stopping a script stuck in an endless loop.
Common process signals include SIGHUP, SIGINT, SIGKILL, SIGTERM, SIGCONT, and SIGSTOP.
Signals like SIGHUP can be used to restart programs or have servers re-read their config files without stopping.
To send a signal using 'kill', you find the process PID and use 'kill -' or 'kill ' commands.
The kill -9 command is used to forcefully kill a process if it ignores the default SIGTERM signal.
Using 'killall' allows sending signals by name, for example, 'killall -SIGKILL firefox' to force quit Firefox.
Process signals help take control of runaway processes, stop services, automate tasks, and manage Linux systems efficiently.

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Dzone

175

How to Use Testcontainers With ScyllaDB

Setting up a full database environment for every round of integration testing can be time-consuming and complex.
Learn how to use the Testcontainers library to spin up lightweight, throwaway ScyllaDB instances for testing purposes.
The post covers initializing the database and running tests against it, providing a practical example.
Testcontainers is introduced as a tool for integration testing, allowing for easy testing of the database.
It is crucial to extend testing beyond unit tests to ensure applications work as expected.
Integration testing involves testing how units interact with each other and external services like data stores.
Running integration tests requires proper infrastructure configuration to set components in the right state.
Tests need to be isolated to avoid side effects or test pollution.
Using Testcontainers can help simplify integration testing in your CI/CD process.

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Hashicorp

112

HashiCorp at re:Inforce: Advancing Security Lifecycle Management with AWS

AWS re:Inforce is a cloud security learning event featuring HashiCorp's involvement in breakout sessions, expert talks, and product demos.
HashiCorp has introduced Security Lifecycle Management (SLM) products to enhance security in AWS for developers, SecOps, and platform teams.
Key developments include HCP Vault Radar for managing secrets, BYO DNS for HCP Vault Dedicated, and automated root credential rotation with Vault.
Pre-written Sentinel policies for AWS compliance, Terraform ephemeral resources, and Cloud Compliance & Governance scaling talks are also highlighted.
HCP Vault Radar helps detect and prevent unmanaged secrets, while BYO DNS adds network traffic control within private networks.
Automated root credential rotation in Vault enhances security by regularly rotating credentials for AWS auth methods.
New pre-written Sentinel policies for AWS Foundational Security Best Practices aim to simplify governance and security compliance.
Ephemeral resources in Terraform are discussed for secure, temporary data handling without persistence.
Events at re:Inforce include a booth chat, product demo, evening event, lightning talk, and webinar on AWS infrastructure security.
HashiCorp and AWS collaboratively offer solutions to governance challenges for accelerated cloud adoption and security measures.

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Javacodegeeks

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Installing NVM and Node.js in a Docker Container

Node Version Manager (NVM) allows developers to easily install and switch between Node.js versions.
Installing and using NVM in a Docker container provides flexibility for managing Node.js versions.
NVM can be manually installed in a Docker container for full control over the environment.
Running commands inside a Docker container to install NVM and Node.js can be beneficial for learning and testing.
Creating a Dockerfile automates the process of installing NVM and setting up Node.js.
Building a custom Docker image with NVM and Node.js allows consistent environment setup.
The Dockerfile sets up NVM, installs Node.js, and updates the PATH for easy access to Node.js and npm binaries.
After building the Docker image, running a container verifies the Node.js and npm installations.
Installing NVM in a Docker container provides flexibility for managing Node.js versions, useful in development and CI/CD pipelines.
For production environments, using official Node.js Docker images may be more efficient for consistency.
Combining Docker's reproducibility with NVM's version management offers consistency and flexibility.
The article provides detailed steps for installing NVM and Node.js in a Docker container, showcasing benefits and usage.
Subscribe to newsletters for Java development resources.
Tags: Docker, Node.js, NVM.

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Alvinashcraft

Dew Drop – June 16, 2025 (#4440)

INotifyPodcastChanged Episode 5: Building features with Lance McCarthy (Joseph Finney & Tamás Deme)
Best Practices for Handheld Gaming Development (Dean Hume)
Build a Flutter Expense Tracker with Advanced Transaction Features (Naveen Kesavaraj)
Controlling spacing in modern CSS layouts (Chris Ferdinandi)
Announcing comprehensive sovereign solutions empowering European organizations (Judson Althoff)
Visual Studio Code now supports Baseline (Rick Viscomi)
Learn and Integrate: Azure and AI Web Development and Navigating the New AI Landscape: A Developer’s Journey Through the Noise (Konstantinos Passadis)
The Month of MCP (Den Delimarsky)
How to use Lotties in Figma (Andrei Marius)
Apple Updates Developer Tools (Kay Ewbank)

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Dev

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Enforcing Kubernetes Probes with a Custom Admission Webhook

Container health checks via liveness and readiness probes are essential for Kubernetes workloads to ensure resilience and prevent production issues.
A custom Kubernetes Admission Controller is discussed in this post to enforce the presence of liveness and readiness probes on all pods.
Enforcing probes ensures better resilience, standardization of practices, and automation of policy enforcement at the cluster level.
The Admission Controller checks for required probes (liveness, readiness) on every container and rejects pod creations lacking any configured probe.
A demo showcases how pods with missing probes are blocked in default namespaces but allowed in excluded namespaces like kube-system.
Pre-requisites for installation include a Kubernetes cluster with cert-manager installed and applying the provided manifests for the admission controller.
The implementation logic involves checking and validating probes for containers in incoming pod create/update requests, responding with approval or rejection accordingly.
Documentation references on Kubernetes Admission Controllers and extensible admission controllers are provided for further understanding.

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Dev

206

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Microsoft Teams IVR System (Sales) vs. Contact Centre: Choosing the Right Solution for Your Business

Microsoft Teams offers IVR capabilities through its Auto Attendant feature, but businesses with complex needs might prefer integrating a full contact center solution.
Teams' Auto Attendant allows callers to navigate menus, enabling efficient call routing without human intervention.
Advantages of Teams' IVR include cost-effectiveness, simplified setup, and basic call routing.
Limitations of Teams' IVR include limited functionality and scalability issues for larger enterprises.
Integrating a contact center solution with Teams offers advanced call routing, omnichannel support, CRM integration, and real-time analytics.
Considerations for contact center integration include costs, complexity, and deployment timelines.
Best practices for IVR and contact center implementation include keeping menus simple, providing live agent access, using clear language, updating scripts regularly, and monitoring performance.
Choosing between Teams' IVR and a contact center solution depends on the organization's needs; small businesses may find Teams sufficient, while larger enterprises should consider a dedicated contact center.
Contacting the appropriate solution providers for guidance can help businesses make informed decisions.

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Siliconangle

409

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Operant AI expands Gatekeeper platform with MCP Gateway for AI runtime security

Operant AI Inc. expands its Gatekeeper platform with MCP Gateway for AI runtime security.
MCP Gateway is designed to secure Model Context Protocol applications by offering real-time discovery, detection, and defense for all layers of the MCP stack.
MCP is an open-source framework facilitating communication between AI agents and tools during runtime for enhanced workflows.
Operant AI addresses security challenges arising from the widespread adoption of MCP in enterprise environments.
MCP Gateway provides security, governance, and visibility to ensure secure operation of AI systems.
It helps organizations manage AI agents securely throughout the lifecycle, from development to deployment.
Key features of MCP Gateway include MCP Discovery for real-time cataloging, MCP Detections for threat detection, and MCP Defense for real-time protection.
MCP Discovery catalogs tools and agents across local and cloud environments to enhance visibility and expose access patterns.
MCP Detections offer advanced threat detection for sensitive data leaks, agentic AI threats, and vulnerabilities in MCP servers.
MCP Defense enforces trust zones, blocks unverified tools, and prevents data leaks through flow controls and redaction.
Operant collaborates with MCP vendors and AI tool providers through an ecosystem partnership program to enhance security in the MCP landscape.
MCP Gateway is now part of Operant's AI Gatekeeper platform with integration support for existing MCP servers and AI agent deployments.

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Solarwinds

162

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4 Monitoring Alerts to Automate Service Desk Tickets and Reduce Downtime

Automating alerts for server performance anomalies can enhance service desk operations by promptly addressing issues before they escalate.
Automated alerts for network performance problems help IT teams investigate and resolve underlying causes swiftly to minimize disruption.
Automating alerts for application performance issues ensures prompt ticket creation for efficient problem resolution and minimal downtime.
Automating alerts for security incidents like unauthorized access attempts enhances organizational security posture by triggering immediate investigation and response.
SolarWinds Service Desk provides integrations with over 200 cloud applications, enabling automated incident creation from monitoring alerts.
Clear criteria for alerts and workflow automation are essential to streamline alert automation processes effectively.
Maintaining a comprehensive Configuration Management Database (CMDB) aids in identifying root causes and impact assessment by integrating monitoring alerts.
Automating monitoring alerts with service desk ticket generation can enhance IT operations, reduce downtime, and improve service quality.
Leveraging SolarWinds Service Desk facilitates the integration of monitoring alerts for efficient IT service management.
Alert automation and AI with SolarWinds are emphasized for optimizing service desk efficiency and reducing downtime.

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Siliconangle

8.7k

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Solving complexity and skill gaps in AppDev: Inside the shift from one-time migrations to continuous modernization

The shift in AppDev involves continuous modernization rather than one-time migrations, with challenges in cloud-native architectures, automation, and security integration driving theCUBE Research's upcoming event.
Application modernization is a top priority for organizations, with complexity and skill gap issues being major barriers.
The AppDev Done Right Summit focuses on tackling complexity and skill gaps to drive innovation in enterprise development with data-driven insights and actionable strategies.
Organizations are investing in CI/CD pipelines and modern operational frameworks emphasizing automation, speed, and security to address the pressure to innovate faster.
The summit highlights the Day 0, Day 1, and Day 2 operational models for DevSecOps, emphasizing automation, compliance enforcement, and continuous monitoring throughout the software lifecycle.
Leaders are encouraged to align technology investments with business goals and enhance team productivity while staying ahead of platform trends.
The summit features insights on cloud-native architectures, automation, and security integration, aiming to empower attendees to navigate the evolving landscape of software development.
Vendors like Heroku and Tintri will showcase their approaches to application development to demonstrate simplicity, scalability, automation, and performance-aware infrastructure.
The event will delve into the importance of platform strategy, sustainable delivery, and platform engineering to streamline developer experience and standardize environments.
The AppDev Done Right Summit provides direction and solutions to market challenges, offering attendees deep insights into modern tools, cloud-native architectures, and more.

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Kubernetes

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Changes to Kubernetes Slack

Kubernetes Slack will lose its special status, becoming a standard free Slack on June 20.
The Kubernetes community will likely transition to a new platform later this year.
Responsible channel owners and members need to take action soon.
Slack has supported the project with a free customized enterprise account for a decade.
Feature limitations of free Slack, like 90 days of history retention, will impact the community.
The Slack Admin team will manage these limitations to the best of their ability.
CNCF Projects Staff suggest migrating to Discord due to the Slack downgrade.
Discord could offer new tools and integrations like GitHub group membership synchronization.
The Steering Committee will discuss and decide on the future platform.
The community is advised to refer to the FAQ, kubernetes-dev mailing list, and #announcements channel for updates.
Specific feedback on Slack status can be shared by joining the discussion on GitHub.

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Dev

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Streaming PostgreSQL Backups with pgrwl: Now with Time & Count-Based Retention!

pgrwl, a cloud-native WAL receiver and backup agent for PostgreSQL, has released a new feature for streaming basebackups with automated retention.
The new feature includes time and count-based retention policies for managing backups.
pgrwl can now schedule basebackups, stream backups to remote storage, and enforce retention policies like retaining a certain number of backups or backups for a specific duration.
This new feature simplifies PostgreSQL cluster backup management without the need for external scripts or schedulers.
pgrwl performs streaming basebackups using the replication protocol, optional compression, and encryption, uploading backups directly to remote storage during the process.
This design reduces time-to-storage and aligns well with Kubernetes-native workflows.
After each successful backup, pgrwl automatically lists, sorts, and deletes old backups based on the defined retention policy.
The tool is especially useful for Kubernetes environments, providing streaming basebackups, WAL receiver capabilities, pluggable storage options, compression/encryption functionalities, and seamless integration with Kubernetes.
This tool aims to address challenges faced by teams managing PostgreSQL in containerized environments, offering a reliable backup solution with observability and retention management.
Interested users can try out pgrwl through the GitHub repository and provide feedback or contribute to the project.
pgrwl simplifies backup management for PostgreSQL in cloud-native environments by introducing streaming basebackups and automated retention policies.
The tool allows scheduling basebackups, streaming backups directly to remote storage, and enforcing retention policies for backup management.
pgrwl performs streaming basebackups using replication protocols, compression, and encryption, reducing time-to-storage and integrating well with Kubernetes workflows.
After each backup, pgrwl automatically handles retention by listing, sorting, and deleting old backups based on defined policies.
The tool is beneficial for Kubernetes environments, offering features like WAL receivers, pluggable storage options, compression, encryption, and seamless Kubernetes integration.
pgrwl aims to alleviate backup challenges for PostgreSQL in containerized environments with its reliable backup solution and retention management features.
Users can access pgrwl through the GitHub repository to test the tool and provide feedback or contribute to its development.

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