The hottest DevOps Substack posts right now

And their main takeaways
Category
Top Technology Topics

Introducing DX Annual

Engineering Enablement • 9 implied HN points • 09 Dec 25
🕹 Technology DevOps
  1. DX Annual is a new conference for developer productivity leaders focused on navigating the AI-driven changes to the software development lifecycle.
  2. The inaugural event on April 16 in San Francisco will bring about 400 senior engineering leaders from companies like Pinterest, Dropbox, Netflix, and Dell, and will feature keynotes, fireside chats, and roundtables about applying AI across the SDLC, scaling best practices, and rethinking DevProd teams.
  3. The conference prioritizes meaningful peer connections. Interested leaders are encouraged to request an invite or reach out to see if it’s a fit for their team.

Issue #114

Infra Weekly Newsletter • 4 implied HN points • 15 Jan 26
🕹 Technology DevOps
  1. GCP favors consistency and global networking primitives and is stronger in data, analytics, and ML. It uses a project-based organization that makes builds faster but more opinionated than AWS.
  2. Platform teams now sit between security, compliance, finance, and application groups and need clearer ownership and decision authority to avoid an accountability gap.
  3. A sophisticated, modular Linux malware framework is targeting cloud servers and containers for credential theft and stealthy persistence, so organisations should assume such threats are coming and tighten access controls, monitoring, patching, and Linux/cloud EDR.

Issue #112

Infra Weekly Newsletter • 9 implied HN points • 05 Dec 25
🕹 Technology DevOps
  1. AI-powered agents are starting to automate DevOps and SecOps by turning natural language into configs, deployments, and monitoring while following best-practice frameworks.
  2. Kubernetes has become the dominant platform for running infrastructure and workloads, effectively serving the ecosystem role Linux once did and spawning tooling like Karpenter to manage resources.
  3. Metal³ together with Ironic brings Kubernetes-style, declarative management to bare-metal servers so you can represent hosts as Kubernetes resources and automate provisioning, and Metal³ is now a CNCF incubating project.

You can't have AI without DevOps | GitHub’s Martin Woodward

Dev Interrupted • 28 implied HN points • 19 Aug 25
🕹 Technology DevOps
  1. Having a strong DevOps culture is more important for successfully using AI than the actual model you pick. Teams that work well together can use AI tools better.
  2. AI can help improve communication and documentation skills among developers. By using AI, they can be nudged to write clearer comments and names for their code.
  3. The rollout of new AI models, like GPT-5, shows that not everyone will find the changes beneficial. It highlights how different people's experiences with AI can be.
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Security Throwing Toil Over the Fence

Resilient Cyber • 99 implied HN points • 10 May 23
🕹 Technology DevOps
  1. It's important to shift security measures smartly rather than just shifting them left in the development cycle. We need the right context to effectively identify real risks in applications.
  2. Many security tools produce a lot of noise and false positives, which frustrates developers. If security teams provide context-rich insights instead, it would help everyone work better together.
  3. There’s a cultural gap where security teams dump problems on developers without proper context, leading to resentment. Improving communication and collaboration can help avoid this issue.

Lean SRE

Certo Modo • 19 implied HN points • 18 Mar 24
🕹 Technology DevOps
  1. Smaller organizations and startups can benefit from implementing Site Reliability Engineering (SRE) practices, leading to reduced operational costs and time savings.
  2. Implementing SRE practices in smaller companies may differ in approach from larger organizations, but can still yield significant benefits.
  3. Starting an SRE program at a larger company can be achieved by beginning with just one software engineering team.

6 secrets for never being blocked again

Leading Developers • 57 implied HN points • 21 Jan 25
🕹 Technology DevOps
  1. Developers can avoid being blocked by working directly on DevOps tasks themselves, like opening Pull Requests instead of just making requests. This way, they learn and the DevOps team gets involved faster.
  2. Instead of just asking for help, it's better to ask intriguing questions that engage the DevOps team. It makes them think more creatively and motivates them to assist.
  3. Developers should create their own alerts for their applications. This helps them understand their changes better and ensures that they take responsibility for their work.

Building a Compliance and AppSec Program for a Federal Platform-as-a-Service (PaaS)

Resilient Cyber • 59 implied HN points • 11 Apr 23
🕹 Technology DevOps
  1. Building a compliance and AppSec program for a federal Platform-as-a-Service is challenging. It's important to understand which security controls can be inherited by development teams.
  2. Scaling the compliance program across multiple teams can lead to unique challenges. It's crucial to onboard each team effectively while minimizing their workload.
  3. Developers need support in balancing security and compliance with their work. Educating auditors about cloud practices is also important for smoother collaboration.

Deterministic Simulation Testing - Antithesis

Why Now • 1 implied HN point • 20 Jan 26
🕹 Technology DevOps
  1. Deterministic simulation testing runs your entire distributed system inside virtual machines controlled by a deterministic hypervisor so each test run is reproducible. It replaces wall-clock time with instruction-count-based virtual time so timing-dependent bugs can be replayed exactly.
  2. The platform combines property-based testing, fuzzing, and fault injection to automatically explore many scenarios and surface rare race conditions. All tests run in sandboxed clones of production so you can inject network blips and failures without risking real users.
  3. Determinism is achieved with techniques like single-core execution, intercepted time calls, and deterministic I/O plus numerous micro-optimizations. The outcome is precise, replayable failures that make debugging and fixing distributed-system bugs much easier.

🗓 Your invitation for Thursday's DevOps stream

🔮 Crafting Tech Teams • 19 implied HN points • 15 Nov 23
🕹 Technology DevOps
  1. The next engineering culture stream about DevOps is on November 16th at 16:00 CET. Don't forget to sign up and invite team members.
  2. The post mentions expanding a mutual brand with Adrian, hinting at future collaborations or projects.
  3. To read more and access full post archives, you can start a 7-day free trial of Crafting Tech Teams.

CI / CD for Data Engineering (Python)

The Orchestra Data Leadership Newsletter • 19 implied HN points • 22 Oct 23
🕹 Technology DevOps
  1. Understanding basic CI / CD for Python code in a Data Engineering context is crucial for Data Engineering Leaders.
  2. For unit tests, use pytest to ensure functions work correctly, and for integration tests, test connections to third-party APIs.
  3. Implementing CI / CD involves writing code, testing and linting locally, and then deploying to a merge environment to ensure code compatibility.

AImagine: Pioneering Hyperrealistic AI Image Generation

CodeLink’s Substack • 19 implied HN points • 18 May 23
🕹 Technology DevOps
  1. AI technology is revolutionizing image generation and manipulation, offering new creative possibilities and demand
  2. AImagine app by CodeLink stands out for its hyperrealistic results and high level of customization in generating unique images
  3. Utilizing innovative technologies like the stable diffusion model, Flutter, and Python, AImagine offers a seamless user experience and efficient server-side processing

Everybody Wants to Have an API Product

The API Changelog • 1 implied HN point • 07 Jan 26
🕹 Technology DevOps
  1. Treat API-as-a-Product as a journey, not a final destination. Most teams start with quick, use-case APIs and need deliberate practices to evolve toward reusable, product-grade APIs.
  2. Keep gateways limited to simple infrastructure tasks like protocol or format transformations. Avoid encoding business authorization or core decision logic in the gateway; those belong in identity providers or backend services.
  3. Use a framework like the Data Interface Quadrants to classify APIs as raw data, composed, BFFs, or reusable data products. Classifying APIs makes their purpose measurable and guides what you must change to make them reusable and consumable by others.

Developers: Why do we need containers?

Weekend Developer • 19 implied HN points • 17 Jun 23
🕹 Technology DevOps
  1. Containers are crucial for modern software development, solving issues with managing environments and configurations manually.
  2. Docker revolutionized development by providing a simple way to package applications with dependencies, ensuring consistency and portability across environments.
  3. Docker and containers have reshaped the software industry, enabling microservices, DevOps, and cloud-native development, but also brought challenges like container management, networking, security, and efficiency.

Managing Developer Feedback Effectively | Atlassian’s Andrew Boyagi

Dev Interrupted • 14 implied HN points • 14 Jan 25
🕹 Technology DevOps
  1. Using surveys alone isn't enough for getting developer feedback. It's better to use data and metrics to understand their issues more clearly.
  2. Setting clear goals for improving developer experience can help align teams better and boost productivity. Everyone needs to be on the same page.
  3. Company culture plays a big role in connecting development efforts with business goals. A positive culture makes it easier for teams to work together effectively.

Episode 38: Better Built By Burkhard

burkhardstubert • 19 implied HN points • 16 Mar 23
🕹 Technology DevOps
  1. Continuous Delivery (CD) means making software ready for users quickly and consistently. It's important for teams to measure their progress with metrics to see how well they are doing.
  2. High-performance teams benefit from focusing on both stability and throughput to deliver great software. Balancing these two areas helps reduce bugs while keeping updates frequent.
  3. Setting clear goals for deployment and recovery times can lead to better software and happier customers. Fast response to issues helps retain customer trust and satisfaction.

2024 DORA Report

Engineering Enablement • 15 implied HN points • 30 Oct 24
🕹 Technology DevOps
  1. Using AI tools can actually make software delivery worse, as they lead to larger code changes that are riskier. This is surprising because many people think AI would improve coding efficiency.
  2. Software delivery performance indicators are becoming more independent from each other. This year's report shows some unexpected trends, like medium performance groups having fewer failures than high performance groups.
  3. To boost productivity, companies should focus on creating user-friendly internal platforms for developers. It's important for leaders to understand their team's needs and provide clear support to improve overall performance.

12 Scenarios of Failure: Applying Chaos Engineering to SAP | Guilherme Sesterheim

Dev Interrupted • 32 implied HN points • 06 Feb 24
🕹 Technology DevOps
  1. Guilherme Sesterheim discusses applying Chaos Engineering to SAP systems to test and improve resilience.
  2. It's beneficial to have a trifecta of engineering, product, and UX at senior leadership levels for better outcomes.
  3. Anton Zaides argues that hiring only senior engineers is not the best policy and suggests considering junior engineers for fresh energy and adaptiveness.

Issue #103

Infra Weekly Newsletter • 9 implied HN points • 20 Feb 25
🕹 Technology DevOps
  1. Hashitalks 2025 event is happening now, and you can check it out for the latest in technology.
  2. You no longer need a DynamoDB table for remote state locking in Terraform when using S3, which simplifies the process.
  3. The Infra Weekly Newsletter covers infrastructure and programming topics, providing useful updates and tutorials each week.

DevSecOps Best Practices

Identity Revive • 38 implied HN points • 04 Oct 23
🕹 Technology DevOps
  1. DevSecOps involves integrating security into the DevOps workflow
  2. DevSecOps promotes continuous security practices
  3. Having a single team manage both application and infrastructure is a key aspect of DevSecOps

How to Deploy a Java Application Using Supervisor and Set Up Log Rotation

Vasu’s Newsletter • 13 implied HN points • 18 Oct 24
🕹 Technology DevOps
  1. Use Supervisor to keep your Java application running smoothly. It automatically restarts your app if it crashes.
  2. Set up log rotation to manage log files effectively. This helps prevent your system from running out of disk space by rotating and compressing logs.
  3. Make sure to test both the application and the log rotation. Checking logs regularly ensures everything is working as expected.

Edition 28: ADR v/s Shift-left should be looked at as a "Stock" v/s "Flow" problem

Boring AppSec • 7 implied HN points • 27 Jan 25
🕹 Technology DevOps
  1. ADR focuses on real-time data in production, which helps reduce false positives, while shift-left aims to find issues early in the development process to fix them easily.
  2. You need a balance of both ADR and shift-left strategies. ADR manages existing problems (stock), and shift-left deals with changes being made (flow).
  3. When choosing tools, flow tools should be light and supportive for developers, while stock tools track and analyze existing issues. They both require different management approaches.

Large Language Model Observability

Monitoring Monitoring • 3 HN points • 04 Apr 23
🕹 Technology DevOps
  1. Startups are focusing on solving observability challenges for teams using Large Language Models (LLMs) like GPT-4.
  2. LLM-based applications involve sending prompts in English to an API, raising questions about prompt quality, speed optimization, and cost management.
  3. Emerging startups are exploring automating generative testing and incident response using AI models like GitHub's Copilot.

Issue #51

Infra Weekly Newsletter • 18 implied HN points • 20 Jun 23
🕹 Technology DevOps
  1. Ironforge raised $2.6M in pre-seed funding for serverless Solana development platform
  2. FreeBSD project celebrates 30 years of success attributed to open source freedom and modern development practices
  3. PostgreSQL community debates transitioning to multi-threaded model, sparking mixed responses

Issue #40

Infra Weekly Newsletter • 18 implied HN points • 20 Mar 23
🕹 Technology DevOps
  1. Gene Kim explains the making of The Phoenix Project in DevOps.
  2. Consider the importance of defining an AWS Organization Governance Architecture.
  3. Be cautious about potential issues when considering the use of Alpine Linux.

Issue #72

Infra Weekly Newsletter • 9 implied HN points • 27 Nov 23
🕹 Technology DevOps
  1. Platform Engineering focuses on building self-serving operational platforms for developers.
  2. Spotify's transition to Bazel build system significantly improved build times and developer productivity.
  3. Dual-Stack Networking in Azure CNI Overlay for AKS enables both IPv4 and IPv6 addresses in the same cluster.

Issue #63

Infra Weekly Newsletter • 9 implied HN points • 19 Sep 23
🕹 Technology DevOps
  1. Schneider Electric highlights the importance of rethinking data center construction for AI workloads
  2. Bun shows promise as a new runtime for JavaScript server environments, but has some challenges to overcome
  3. Cloud automation is evolving towards API-driven approaches for managing various cloud resources

Issue #53

Infra Weekly Newsletter • 9 implied HN points • 03 Jul 23
🕹 Technology DevOps
  1. Red Hat put their source code behind a paywall, affecting users like Jeff Geerling.
  2. DevPod is an open-source tool for managing development environments.
  3. Kubernetes 1.27 introduces KMS V2 in beta for encryption at rest.

Invisible Engineering

Fish Food for Thought • 10 implied HN points • 08 Mar 23
🕹 Technology DevOps
  1. Engineering work that goes unnoticed is crucial for keeping systems running smoothly.
  2. Leaders should do a better job at highlighting the importance of hidden work within organizations.
  3. Understanding and appreciating invisible work is essential for effective management and smooth operations.

DevOps Concepts #2: Autoscaling

Cloud Weekly • 8 implied HN points • 03 Jun 23
🕹 Technology DevOps
  1. Autoscaling allows you to adjust resources automatically based on traffic, ensuring your application stays performant and resilient.
  2. Auto Scaling Groups in AWS help manage resources by defining minimum, desired, and maximum instances, allowing for easy scaling up and down.
  3. AWS Auto Scaling Groups provide strategies like simple scaling, target scaling, and step scaling to optimize costs and react to traffic based on predefined metrics.

Issue #35

Infra Weekly Newsletter • 9 implied HN points • 13 Feb 23
🕹 Technology DevOps
  1. Rust Linux 6.3 brings better performance, security, and stability
  2. GCC 13's Rust Language Front-End is not fully useful yet for most Rust developers
  3. Intel's DOIT project focuses on Open-Source technology for IoT devices

DevOps Concepts #1: Load Balancing Algorithms

Cloud Weekly • 8 implied HN points • 29 Apr 23
🕹 Technology DevOps
  1. Load balancing is important for distributing traffic across servers.
  2. Stateless services are preferred over stateful ones for easier scaling.
  3. Different load balancing algorithms like Round Robin, Weighted Round Robin, Least Connections, and Least Time offer various ways to distribute traffic efficiently.

Developers don't care about security

Frankly Speaking • 4 HN points • 25 Jan 24
🕹 Technology DevOps
  1. Developers are not usually interested in security tools and may not prioritize security.
  2. The shift to cloud environments has made security a challenge, as traditional security tools are seen as obstacles.
  3. To improve security in DevOps, companies need easy-to-deploy security tools that align with developer workflows.

Securing Cloud-Based CI Systems: Best Practices

Iceberg • 1 HN point • 30 Sep 23
🕹 Technology DevOps
  1. Limit who or what can invoke processes in CI systems to reduce the blast radius.
  2. Utilize separate cloud and saas accounts for different environments to enhance security and avoid errors.
  3. Regularly monitor dependency security, distinguish between CI and deployment contexts, and minimize reliance on third-party systems for supply chain risk mitigation.