InfoQ Homepage Automation Content on InfoQ
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From Alert Fatigue to Agent-Assisted Intelligent Observability
As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.
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Platform-as-a-Product: Declarative Infrastructure for Developer Velocity
Declarative infrastructure config hides complexity, enabling developers to focus on application code. Unified YAML per service allows early cost validation, while independent CI with centralized CD balances team autonomy and deployment consistency. This standardized approach scales across organizations, making infrastructure invisible and operations automatic.
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Beyond Accidental Quality: Finding Hidden Bugs with Generative Testing
Generative testing uncovers hidden software bugs by exploring the input space and verifying system invariants. This surpasses example-based tests that rely on known scenarios and can miss edge cases.
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Exploring the Unintended Consequences of Automation in Software
This article lays out some of the common assumptions and misconceptions about automation and its role in software (and software incidents), what our research has found regarding how automation shows up in software incidents, and some ideas around how people can better design automated tools to help people better handle software incidents.
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Ransomware-Resilient Storage: the New Frontline Defense in a High-Stakes Cyber Battle
Cybersecurity has evolved, with ransomware now primarily targeting data storage and backups. To combat this, modern defense strategies focus on making storage systems more resilient. Key tactics include using immutable storage that prevents data from being altered or deleted, employing AI-powered detection, and implementing air-gapping to create isolated, tamper-proof recovery points.
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Keep the Terminal Relevant: Patterns for AI Agent Driven CLIs
Well-designed CLIs are crucial in the agentic AI era—serving both human users and autonomous agents with precision and reliability. Treat CLI output formats as stable API contracts and prioritize adoption of the MCP protocol for agent integration from day one.
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Backend FinOps: Engineering Cost-Efficient Microservices in the Cloud
Backend FinOps integrates financial discipline into microservices, crucial for cutting cloud costs. Challenges such as resource fragmentation and cold starts underscore the need for intelligent design, effective language choice, robust tagging, and automation. Implementing FinOps via IaC, CI/CD checks, and dynamic autoscaling (e.g., Karpenter) ensures sustained efficiency.
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/articles/apiops-iac-reshaped-api-strategy/en/smallimage/apiops-iac-reshaped-api-strategy-thumbnail-1749546152771.jpg)
We Took Developers out of the Portal: How APIOps and IaC Reshaped Our API Strategy
Dynamic API strategist with expertise in transforming legacy management into efficient APIOps frameworks using Infrastructure as Code (IaC). Proven track record in automating API lifecycles, enhancing security, and fostering developer productivity through CI/CD integration. Adept at driving operational excellence and consistency across environments, enabling rapid deployment and innovation.
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Developer Joy: a Better Way to Boost Developer Productivity
In this article, Holly and Trisha explore why joy isn’t a distraction from productivity: it’s the secret ingredient. From debugging brain waves in the middle of a jog to cutting out test flakiness, they explain how to reclaim developer satisfaction and boost output by embracing curiosity, minimizing friction, and giving ourselves a break.
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/articles/mocking-grpc-microservices/en/smallimage/thumb-Mocking-gRPC-in-Spring-Boot-Microservice-Integration-Tests-with-WireMock-1747815761895.jpg)
Mocking gRPC in Spring Boot Microservice Integration Tests with WireMock
Mocking gRPC services allows you to validate gRPC integration code during your tests while avoiding common pitfalls such as unreliable sandboxes, version mismatches, and complex test data setup requirements. Learn how to use WireMock’s Spring Boot integration to mock gRPC services.
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/articles/fitness-functions-architecture/en/smallimage/fitness-functions-architecture-thumbnail-1744359549803.jpg)
Fitness Functions for Your Architecture
Software, its size, its requirements, and its infrastructure environment evolve over time. Software architecture should evolve accordingly, to meet current and future operational and developmental requirements. Fitness functions are guardrails that enable the continuous evolution of your system's architecture, within a range and a direction, that you desire and define.
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Reaching Your Automatic Testing Goals by Enhancing Your Test Architecture
If you have automatic end-to-end tests, you have test architecture, even if you’ve never given it a thought. Test architecture encompasses everything from code to more theoretical concerns like enterprise architecture, but with concrete, immediate consequences. Let's explore how you can achieve the goals you have for your automatic testing effort.