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Why Copying Tech Giant’s IDPs Dooms Your Platform Team (And How to Build What Developers Actually Need)

Platform teams often fall into the trap of replicating tech giants’ internal developer platforms (IDPs), only to face costly failures.
Copying without context results in bloated platforms, frustrated developers, and wasted budgets.
Platform-as-a-Product treats your internal developer platform (IDP) like a customer-facing product, focusing on solving developers' specific problems.
By treating your IDP as a product, you create tools that solve real problems, adapt continuously, and foster ownership.

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Dev

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How We’re Making MySQL Performance Monitoring Easier & More Efficient - Releem’s February Update

Releem's February update brings key improvements in monitoring and query analytics for database servers.
Automatic SQL Query Analytics simplifies the workflow by automatically collecting updated data.
Extended monitoring periods allow analysis over periods of up to three months.
ARM64 support added to Releem Agent to enable deployment on ARM-based servers.

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Dev

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Revolutionize Your Secret Management with Infisical: The Open-Source Solution You've Been Waiting For!

Infisical is an open-source secret management platform that centralizes and manages application secrets and configurations.
Features include secret versioning, rotation, and dynamic secret generation, with integrations for popular tools like GitHub Actions, Vercel, Terraform, and Ansible.
The platform offers centralized secret management, automated secret rotation, and a user-friendly interface for developers, while also being open-source and self-hostable.
Infisical has gained popularity with 16884 stars, 1110 forks, and 271 open issues on GitHub.

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Dev

301

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Getting Started with Terraform: Advanced Concepts and Best Practices (Part 3) 🚀

Dynamic Blocks: Stop Copying and Pasting! 📝
Data Sources: Finding Existing Resources 🔍
Making Sure Things Happen in Order (depends_on) 🔄
Debug Mode: When Things Go Wrong 🐛

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Dev

168

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Scan Container Images with Clair V4

Security scanning of container images is crucial to detect vulnerabilities before deployment.
Tools like AWS ECR and Quay provide built-in security scanning features.
Clair, an open-source tool, offers Vulnerability Static Analysis for Containers.
Clair updates its internal database from various vulnerability sources and exposes an API for security reports.
It is important to integrate security scans into Continuous Delivery pipelines to prevent vulnerable images from being promoted.
Clair Version 4 is preferred for its active development compared to Version 2 and unreleased Version 3.
Deployment of Clair on Kubernetes involves setting up a PostgreSQL database and configuring the Clair instance.
Creating secrets, deployment objects, services, and Ingress make Clair accessible for scanning container images.
Scripts using clairctl can scan images and fail the build if vulnerabilities are found, prompting developers to fix issues.
Integrating security scans in GitLab CI pipelines ensures continuous monitoring and improvement of container image security.

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Hackernoon

351

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R Systems Blogbook—Chapter 1 is Now Open for Submissions🎉

R Systems Blogbook—Chapter 1 is Now Open for Submissions🎉
R Systems and HackerNoon have launched a writing contest called R Systems BlogBook—Chapter 1, exclusively for R Systems staff.
The contest is divided into 3 rounds, each lasting a month, and participants can choose from various topics related to AI/ML, developer productivity, observability, security, WebAssembly, and generative AI.
The contest will award up to 12 winners, including a Grand Prize and multiple runners-up prizes.

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Dev

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Why RabbitMQ? A Developer-Friendly Guide to Event-Driven Architecture

RabbitMQ is an open-source message broker that enables event-driven architecture (EDA) by decoupling services and ensuring reliable message delivery.
RabbitMQ offers ease of use, quick setup, and flexible messaging patterns like work queues, pub-sub model, and routing and topic exchanges.
With language agnostic support, lightweight efficiency, and integration with DevOps tools, RabbitMQ is ideal for polyglot microservices architectures and can be deployed in various environments.
While RabbitMQ focuses on traditional message queuing and reliability, Kafka is more suitable for high-throughput event streaming and real-time analytics.

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Dev

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I'm getting this error: Could not load file or assembly System.Runtime.CompilerServices.Unsafe

When working with .NET applications that use Redis, you might come across an error like: "Could not load file or assembly System.Runtime.CompilerServices.Unsafe".
This error is common in projects where dependencies conflict or are missing.
Possible causes of this error include dependency version conflicts, missing binding redirects, and incomplete package installation.
To resolve the error, you can update your NuGet packages, check your project file and configuration, clean and rebuild your project, use the Redis CLI for additional checks, and review your environment settings.

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Dev

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How to "EXPIRE" the "HSET" Child Key in Redis?

Redis does not support setting a TTL on an individual hash field directly, leading to the inability to expire just one field within a hash using the HSET command.
Expiration in Redis is typically set at the key level using the EXPIRE command, affecting the entire key rather than its internal structure.
Limitations exist in Redis where individual fields within a hash cannot have separate TTLs, as expiration is applied at the key level.
Workarounds include using separate keys for parts needing different expiration times, using composite keys, or maintaining timestamp fields within hashes.
Lua scripting in Redis can be used for more advanced solutions, allowing custom logic to simulate field-level expiration by periodically checking and removing expired fields.
The choice of method depends on the specific use case, with separate keys for automatic removal, timestamp fields for related data, and Lua scripting for custom behavior.
Best practices include planning the data model ahead, keeping implementations simple, testing thoroughly, and monitoring performance when adding extra logic.
Redis users have options to address the lack of direct support for expiring individual hash fields by implementing workarounds, Lua scripting, or timestamp management.
Opting for the right approach depends on the project's requirements and complexity, with considerations for design simplicity, testing, and performance monitoring.
Whether restructuring data, using timestamps, or employing Lua scripting, Redis offers flexibility to manage field-level expiration based on individual project needs.

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Dev

278

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Which is better for efficiency - Redis Strings vs Redis Hashes to Represent JSON?

Storing JSON in Redis can be done in two common ways: as a simple string or split and stored in a Redis hash.
The string method saves the entire JSON as one text, while the hash method stores each property as a separate field.
Storing JSON as a string is simple but inefficient for frequent updates as the whole string needs to be rewritten.
On the other hand, storing JSON in a Redis hash allows updating individual fields without rewriting the entire JSON.
Using strings is best for static JSON, while hashes are suitable for dynamic data with frequent updates.
Memory usage is lower with hashes if only a few fields are updated at a time, compared to updating the entire string.
Update performance is better with hashes for selective updates, while strings are quicker for reading the entire JSON.
Consider your application needs: use strings for simple, infrequent updates, and hashes for frequent partial updates or complex JSON.
Testing both methods in your environment can help determine the most efficient approach for your specific use case.
Both Redis strings and hashes have their advantages and should be chosen based on the trade-offs between memory usage and update performance.

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Dev

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Deploying a Simple Number Classification API with Node.js and Render

In the world of machine learning and artificial intelligence, classification tasks play a crucial role in sorting and analyzing data.
This blog post explores how to build a simple Number Classification API using Node.js.
The API takes a number as input and returns its classification: positive, negative, or zero.
The API is built with Node.js and Express.js and can be easily deployed on platforms like Render.

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Dev

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Organizing Large Shell Script Codebases with Mush

Mush is an innovative framework designed to organize large shell script projects.
Traditional shell scripts can become unmanageable due to code duplication and lack of structure.
Mush offers a modular architecture, dependency management, autoloading functions, and testing tools.
By using Mush, you can structure and maintain your shell scripts with ease.

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Medium

415

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Amir’s Weekly Tech Rundown: Tech, AI, Engineering & Software Trends (#16)

AI summaries turn real news into nonsense, BBC finds
AI worse than humans in summarising information, government trial finds
Stay connected with Amir for weekly updates on AI, engineering, and software trends
For interesting finds, drop a comment or DM Amir

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Openstack

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Addressing Digital Sovereignty: STACKIT’s OpenStack Solution for Secure, Compliant Cloud Computing

STACKIT, a cloud provider of Schwarz Group, prioritizes digital sovereignty through the use of OpenStack to ensure data control and compliance with strict regulations in Germany and Europe.
OpenStack enables companies to manage their data securely, meeting legal requirements such as GDPR and BDSG, essential for industries like healthcare and finance.
STACKIT's OpenStack deployment allows for control over data infrastructure, avoiding reliance on third-party providers and ensuring compliance with data localization laws.
The flexibility and security of OpenStack align with STACKIT's need for infrastructure control, supporting scalability and resilience across multiple Availability Zones.
Contributions to the open-source community showcase STACKIT's commitment to innovation, ensuring their cloud infrastructure remains cutting-edge.
Schwarz Group's cloud services emphasize data privacy and protection, with client data processed and stored exclusively in Germany and Austria, meeting strict privacy laws.
STACKIT offers sovereign private cloud options to European organizations, empowering them to embrace digital transformation with data control and compliance.
The focus on data sovereignty extends to external partners, positioning STACKIT as a leader in cloud services by providing tailored solutions for diverse business needs.
By maintaining control over data with OpenStack, STACKIT sets a new standard for cloud computing, enabling businesses to comply with regulations while driving their digital future.

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Hashicorp

232

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Patterns to refactor infrastructure as code for compliance

Platform engineers in organizations may face challenges with platform sprawl, leading to fragmented workflows and difficulties in managing compliance and security across multiple platforms.
Refactoring applications, infrastructure, and security using new patterns and workflows can help standardize practices and streamline compliance at scale.
Standardizing practices for lower risk and stronger compliance includes efforts like policy as code and principles of immutability.
Refactoring for standardization can involve abstracting workflows, importing existing infrastructure onto new platforms using Terraform, or migrating resources to newer platforms.
Policy as code automates policy enforcement related to security, compliance, cost controls, and operational resilience for infrastructure.
Policy as code can be used to manage policies through software delivery pipelines and tests infrastructure configuration for conformance.
Static analysis in policy as code provides faster feedback on Terraform code alignment with organizational requirements.
Dynamic analysis in policy as code checks live infrastructure for policy conformance and identifies configuration drift.
Using immutability in migrations helps manage changes with minimal disruption by creating new resources instead of updating existing ones directly.
Policy as code and immutability together speed up risk discovery, standardization efforts, and reduce remediation time for security and compliance issues.
Applying policy as code and immutability principles can help organizations refactor infrastructure, standardize platforms, and minimize risks associated with migrations.

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