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Siliconangle

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GitLab swings to a profit as it beats expectations, but its guidance is a little light

DevOps company GitLab Inc. beat expectations on earnings and revenue as it delivered its fourth-quarter financial results, swinging to a profit in the process.
The company reported earnings before certain costs such as stock compensation of 33 cents per share, easily beating the analyst consensus estimate of 23 cents. Revenue for the period jumped 29%, to $211.4 million, ahead of Wall Street’s target of $206.2 million.
Despite growing fast, the company has experienced a tumultuous few months, with its co-founder and CEO stepping down to focus on his battle with bone cancer. The new CEO highlighted the company's innovative DevSecOps platform.
GitLab issued a conservative forecast for the current quarter and full year, with lower expectations for earnings and revenue. However, the company's stock rose 2% after-hours.

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The New Stack

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Managing Kubernetes at Scale: Top 3 Lessons From the Trenches

The journey to building a scalable Kubernetes-based developer platform is challenging but rewarding.
Organizations traverse four stages in maturing platform engineering capabilities: manual operations, foundational automation, operational efficiency, and full life cycle automation.
Lessons learned at enterprise scale include planning for growth, rigorous testing of automation, and establishing operational excellence.
The future of platform engineering involves AI-driven optimization, a unified cloud operating model, and tools for storage and data management.

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Dev

145

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Mastering Sed: The Unsung Hero of Text Processing

Sed, the stream editor, has been a powerful tool in Unix systems since 1974, offering efficient text processing capabilities for various tasks.
Sed's wide availability, memory-efficient processing for large files, and suitability for automation make it irreplaceable in many scenarios.
Contrary to misconceptions, sed goes beyond simple substitution, allowing for complex text transformations and supporting automation integration.
The article series on mastering sed covers essential one-liners, text replacement in multiple files, and JSON manipulation without jq, offering practical examples and learning paths.
DevOps engineers, system administrators, backend developers, data engineers, and those in constrained environments can benefit from enhancing their sed skills.
The articles share real-world experiences, emphasizing the value of sed in crisis resolution, log analysis, configuration management, and code generation.
Advanced sed topics like scripting, multi-line processing, integration with awk and grep, and automation in CI/CD workflows offer avenues for further exploration.
Common questions about sed address its learning curve, performance, handling of binary files, differences between GNU sed and BSD sed, and opportunities for engaging in the sed community.
Practical advice encourages readers to engage with sed through creating cheat sheets, sharing knowledge, and exploring automation challenges, emphasizing learning by doing.
Overall, mastering sed can significantly enhance text processing efficiency, making it an indispensable tool for various professionals across different environments.

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Dev

317

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HOW TO ADD DATA DISK TO A VIRTUAL MACHINE.

A data disk is a managed disk that's attached to a virtual machine to store application data or other data that you need to keep.
In platforms like Microsoft Azure, AWS, or Google Cloud, a "data disk" is a virtual storage volume attached to a virtual machine (VM).
To add a data disk to a virtual machine in Azure, follow these steps:
Step 1: Create a virtual machine and configure the necessary settings.

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Amazon

431

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AWS at KubeCon + CloudNativeCon Europe 2025

AWS will be present at KubeCon + CloudNativeCon Europe 2025 at Booth S300 in Excel London from April 1-4, showcasing innovative solutions for Kubernetes operations.
Attendees can participate in hands-on demonstrations of AWS solutions simplifying Kubernetes operations, optimizing costs, and utilizing AI/ML capabilities.
A special book signing session with Kubernetes expert Kelsey Hightower will be hosted at the AWS booth.
An AWS Hands-On Workshop on April 1 will focus on mastering production-ready Kubernetes using Amazon Elastic Kubernetes Service (Amazon EKS).
The workshop will cover deploying a full-stack retail application, implementing best practices, and simplifying resource management.
Various AWS sessions at the event will delve into topics like cost optimization, data/AI/ML, GitOps, platform strategy, and Kubernetes operations.
The sessions will cover areas such as simplifying Kubernetes ops, mastering cost optimization, distributed machine learning, and improving platform strategies.
Additionally, there will be featured sessions at KubeCon on GPU orchestration, scaling Prometheus, handling specialized workloads, and real-world Kubernetes stories.
Attendees can gain insights on Kubernetes security, troubleshooting techniques, feature flag management, and updates from Kubernetes SIG Architecture.
One of the sessions will focus on Argo at scale, detailing how Adobe manages hundreds of Kubernetes clusters across multiple regions using GitOps and automation.

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The New Stack

122

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Build vs. Buy: Compare Your Kubernetes Platform Options

Kubernetes is becoming popular for managing containerized applications, with many organizations planning to transition to it.
Organizations need to decide whether to build their own Kubernetes platform or invest in a third-party solution.
Building an in-house Kubernetes platform allows for full customization, control, and adaptation to unique business needs.
However, building in-house requires investing staff time, maintaining the platform, and hiring talent, leading to high startup costs.
On the other hand, buying a Kubernetes platform offers faster time to market, lower operational overhead, and better DevEx.
Buying a platform can be cost-efficient and provide support, but it may limit customization and lead to potential vendor lock-in.
Choosing between building and buying depends on factors like specialized requirements, technical capabilities, and budget.
Building offers complete control and customization but requires heavy investments and talent retention.
Buying reduces effort, provides scalability managed by the vendor, and ensures security, but may lack full customization.
The decision to build or buy a Kubernetes platform should align with your organization's long-term business goals.
Ultimately, selecting the right platform, whether built or bought, can significantly impact the success of your cloud native applications.

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Dev

299

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How to Prevent Your Supabase Project Database from Being Paused Using GitHub Actions

Supabase pauses databases after inactivity but you can prevent it with automated pings via GitHub Actions.
GitHub Actions workflow can keep your Supabase database active and prevent pausing.
Supabase pauses databases to save resources, common in free-tier plans.
Automate database pings with GitHub Actions to keep your database active.
GitHub Actions workflow provided to ping Supabase database at intervals.
Workflow triggers ping every Monday and Thursday at 9:00 AM UTC.
Set up environment variables like SUPABASE_URL and SUPABASE_KEY for the workflow.
Pinging Supabase involves querying a table to maintain database activity.
Customize the workflow schedule and table name to suit your needs.
Benefits include keeping the database active, automated workflow, and cost-effectiveness.

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Dev

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Technical Guide: Syncing Ingress Resources from various Virtual Cluster on GKE with vCluster

Kubernetes Ingress is crucial for exposing applications, and this guide simplifies understanding Layer-7 load balancing.
The article focuses on setting up Nginx Ingress controller and Cert-Manager on Google Kubernetes Engine (GKE) for TLS certificates.
Instructions on creating a virtual cluster using vCluster to reuse GKE's host cluster resources are provided.
Prerequisites include Google Cloud SDK, Kubernetes CLI, vCluster CLI, domain name, and basic Kubernetes knowledge.
Detailed steps are given for setting up a GKE cluster, installing the Ingress Controller (using NGINX), and deploying Cert-Manager.
Commands for granting permissions, deploying Ingress Controller, and verifying installations are provided.
The process of creating an Application, configuring domain A Records, and verifying Ingress functionality is covered.
Instructions for syncing Ingress Resources with vCluster in virtual clusters for efficient management are outlined.
The article concludes with cleanup steps and highlights the advantages of using vCluster in multi-tenant Kubernetes environments.
vCluster simplifies creating virtual clusters within host clusters for better resource utilization and management.
By following this guide, users can effectively manage Ingress, TLS certificates, and virtual cluster resources within a Kubernetes environment.

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Solarwinds

176

Image Credit: Solarwinds

Welcome Squadcast to SolarWinds: A New Era of Operational Resilience

Squadcast has officially joined the SolarWinds family, enhancing operational resilience.
The acquisition brings together SolarWinds Observability, service management, and Squadcast's incident response management solution.
Customer testimonials highlight the effectiveness of Squadcast's solutions in reducing alert fatigue and improving operational efficiency.
SolarWinds and Squadcast aim to redefine incident response and operational resilience in the industry.

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Dev

408

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How Hopthru powers real-time transit analytics from a 1 TB table

Hopthru leverages TimescaleDB to enable real-time transit analytics from a 1 TB table, transforming queries from minutes to seconds.
Their three-person team uses continuous aggregates and tiered storage for powerful visualizations to optimize public transportation networks efficiently.
Hopthru utilizes time-series data to analyze and optimize transit networks, aiding agencies in understanding route efficiency.
The challenge lies in processing massive Automated Passenger Counting (APC) data efficiently for valuable insights.
Hopthru's data pipeline includes data ingestion from buses' sensors, database queries, and storage processes.
TimescaleDB significantly improved query performance over traditional setups for real-time analytics.
Their tech stack includes Python, Django, PostgreSQL, TimescaleDB, and Redis for data management and analytics.
Continuous aggregates and tiered storage strategies contribute to reducing query times and managing costs effectively.
Hopthru plans to develop 'Hopthru Cleanse' for processing raw sensor data and ensuring data accuracy for National Transit Database certification.
Lessons for development teams include choosing tools wisely, leveraging managed services, designing for access patterns, and optimizing through monitoring and continuous improvement.

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Hashicorp

290

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Terraform 1.11 brings ephemeral values to managed resources with write-only arguments

HashiCorp Terraform 1.11 is now available, featuring write-only arguments for managed resources.
Write-only arguments allow the use of ephemeral values in specific resource arguments, enhancing security.
Terraform 1.10 introduced ephemeral values for handling sensitive data, and 1.11 extends this to managed resources.
With write-only arguments, values can only be written to and not read, adding an extra layer of security.
By using write-only arguments, secrets like passwords can be securely passed to resources without being exposed in artifacts.
Examples of write-only arguments are master_password_wo in AWS resources and administrator_password_wo in Azure resources.
Upgrades to Terraform tests include new features like state_key attribute, mocked values during unit tests, and JUnit XML test reports.
Users can download Terraform 1.11, sign up for HCP Terraform, and explore tutorials for upgrading RDS major versions.
Partners like Juniper, Palo Alto Networks, and Fortinet are commended for adopting ephemeral values for enhanced security.
The community's feedback and contributions played a vital role in shaping Terraform 1.11. Thanks to all contributors.

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Amazon

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Best practices for rapidly deploying Landing Zone Accelerator on AWS

Landing Zone Accelerator on AWS (LZA) allows for a flexible, configuration-driven landing zone setup using AWS Control Tower, commonly integrated with GitOps workflows.
The LZA solution involves two repositories - one for source code and another for organization-specific configurations, each managed through AWS CodePipelines.
Steps for deploying LZA include preparing a private GitHub for hosting source code, installing LZA as a CloudFormation Stack, and validating created pipelines in AWS CodePipeline console.
LZA utilizes GitHub for source code and S3 for configuration repository; auto-generating initial configuration YAML files for easy start.
Migration to GitOps processes involves moving the initial S3 configuration files to a GitHub repository for better control over configuration changes.
By following outlined steps, organizations can efficiently establish and manage their AWS infrastructure using LZA with compliance to policies and with reduced complexity.
Authors Lei Shi and Adam Spicer from AWS Professional Services provide guidance for implementing LZA effectively and leveraging GitOps for AWS infrastructure management.
LZA implementation steps aim to simplify the deployment process and ensure alignment with organizational policies, leading to a robust AWS infrastructure foundation.
LZA Installer pipeline auto-generates configuration files in S3, while AWSAccelerator-Pipeline manages landing zone deployment and customization.
Efforts to integrate GitOps into the LZA solution streamline managing configuration updates and align the process with existing organization practices.

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Hackernoon

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Your Docker Containers Are Probably Full of Security Holes—Here’s How to Fix Them Now

Docker Scouts primarily helps scan images for vulnerabilities, addressing security risks before software development.
Docker Scout sustains compliance through generating Software Bill of Materials (SBOM) to evaluate dependencies and enforce security standards.
Automated security scans are adjustable with Docker Scout, integrating with CI/CD pipelines for early issue resolution and improved security.
Docker Scout assists in controlling exposure to vulnerabilities by providing guidance on deactivating, patching, or updating components.
As container security gains importance, Docker Scout aids in enhancing security by detecting vulnerabilities and enforcing policies.
Docker Scout integrates seamlessly with Docker for vulnerability, dependency, and compliance analysis, enhancing container security.
Key features include Vulnerability Scanning, SBOM Generation, and Policy Enforcement for securing Docker images.
Setting up Docker Scout involves simple steps like installation, running scans, and understanding scan results for vulnerability mitigation.
Integrating Docker Scout into CI/CD pipelines automates security checks, ensuring images comply with security standards before deployment.
Best practices for secure container image development include minimizing dependencies, regular updates, and leveraging Docker Scout insights for continuous improvement.

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Medium

335

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Self-Hosting Journey: Setting Up My First Home Server — Part 1

The author decided to set up a self-hosted environment using unused hard drives after working with Docker and Kubernetes.
The author spent a lot of time configuring the server and found tutorials helpful for getting started.
Docker was used to easily manage applications and dependencies in portable containers.
Traefik was used as a reverse proxy to efficiently route network traffic to self-hosted services.

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Dev

140

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Track Production Operations Outcome Progression with Conditional NULLs :SQL VS SPL

SQL Server database table is used to track the execution progress of multiple operations in a production process.
SQL lacks the mechanism for orderly grouping based on conditions and requires nested subqueries and multiple window functions for marking.
SPL code is simpler and easier to understand, providing a two-dimensional table for tracking the progress of operations.
SPL is open source and free to download.

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