InfoQ Homepage DevOps Content on InfoQ
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One Network: Cloud-Agnostic Service and Policy-Oriented Network Architecture
Bringing together software infrastructure leads to faster development time and easy control of large, spread-out systems through clear rules. In this QCon SF 2024 presentation, Anna Berenberg shared learnings and achievements when building One Network, addressing complex infrastructure layers, open-source integration, and uniform policy enforcement for improved reliability and security.
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Sandbox as a Service: Building an Automated AWS Sandbox Framework
This article outlines an automated AWS Sandbox Framework to provide secure, cost-controlled environments for innovation. It leverages AWS services like Control Tower and open-source tools to automate provisioning, enforce security policies, manage resource lifecycles, and optimize costs through automated cleanup and governance.
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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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Ceph RBD Turns 15: a Story of Open Source Creation
Fifteen years ago, Ceph RBD began as a community-driven idea that grew into essential infrastructure powering today's cloud platforms. This insider story from Yehuda Sadeh-Weinraub reveals how two developers started a distributed storage that now supports OpenStack and Kubernetes through transparent, collaborative development.
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Why Is My Docker Image So Big? A Deep Dive with ‘dive’ to Find the Bloat
AI images typically bloat from massive library installations and base OS components, with large Docker images slowing AI development and increasing costs. Chirag Agrawal demonstrates how to diagnose bloat using Docker's history and the interactive 'dive' tool to examine each layer in detail. The article shows how effective diagnosis leads to targeted optimizations.
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Engineering Principles for Building a Successful Cloud-Prem Solution
Discover how Cloud-Prem solutions combine cloud efficiency with on-premise control, meeting data sovereignty and compliance demands while optimizing operational costs and enhancing customer security.
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Analyzing Apache Kafka Stretch Clusters: WAN Disruptions, Failure Scenarios, and DR Strategies
Proficient in analyzing the dynamics of Apache Kafka Stretch Clusters, I assess WAN disruptions and devise effective Disaster Recovery (DR) strategies. With deep expertise, I ensure high availability and data integrity across multi-region deployments. My insights optimize operational resilience, safeguarding vital services against service level agreement violations.
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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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Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments
Traffic mirroring has evolved from a network security tool to a robust method for debugging and testing microservices using real-world data. By safely duplicating production traffic to a shadow environment, teams can replicate elusive bugs, profile performance under actual load, validate new features, and detect regressions, ensuring that production remains isolated and user experiences intact.
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Designing Resilient Event-Driven Systems at Scale
Learn how to design resilient event-driven systems that scale. Explore key patterns like shuffle sharding and decoupling queues to handle load spikes and failures. Understand common pitfalls like over-relying on retries and neglecting observability for robust, scalable architectures.
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Inflection Points in Engineering Productivity as Amazon Grew 30x
In this article, Carlos Arguelles elaborates on how engineering productivity needs a shift as organizations scale. He shares examples from his time at Google and Amazon, explaining how some architectural decisions made at these companies shaped the way they develop software. Engineering productivity investments depend on inflection points, scale, controls, data, and tooling choices.
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Distributed Cloud Computing: Enhancing Privacy with AI-Driven Solutions
Distributed cloud, PETs, and AI enable secure, private data processing. This integration enhances collaboration, security, and compliance across marketing, finance, and healthcare, addressing the growing need for data protection.