InfoQ Homepage DevOps Content on InfoQ
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Getting Started with Microservices in SpringBoot
Enterprises have learned to create software using agile processes, but we are still producing large monolithic beasts of software. If you are not already using Microservices, you are safely out of the early adopter phase of the adoption curve. This article will help you get started creating, discovering, and calling Microservices.
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Your Top Five Challenges Moving in to the IoT Space
Those who have been involved in IoT projects have come to realize that there is a big gap between what customers need and what these vendors provide. Contributor Mikael Hakansson looks at five critical areas that require focus to ensure IoT success. These include business ownership, team skillsets, device onboarding, ability to handle change, and comprehensive testing.
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Key Takeaway Points and Lessons Learned from QCon San Francisco 2017
The eleventh annual QCon San Francisco was the biggest yet, bringing together over 1,800 team leads, architects, project managers, and engineering directors.
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Q&A with Eberhard Wolff On the Book “A Practical Guide to Continuous Delivery”
Eberhard Wolff speaks with InfoQ about his work "Continuous Delivery: A Practical Guide", where we detail some of the major concepts behind successful CD adoption and the ripple-effect it can have on developer productivity and quality of service.
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The Value of Logging within Cloud Native Applications: A Q&A with Kresten Krab
InfoQ recently sat down with Kresten Krab, CTO at Humio, and discussed the role of logging within the overall topic of system observability. A key takeaway is that aggregating logs from diverse components or services that make up a running system provides an excellent way to monitor, debug and understand (or "observe") modern software systems.
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InfoQ Call for Articles
InfoQ provides software engineers with the opportunity to share experiences gained using innovator and early adopter stage techniques and technologies with the wider industry. We are always on the lookout for quality articles and we encourage practitioners and domain experts to submit feature-length (2,000 to 3,000 word) papers that are timely, educational and practical.
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Uwe Friedrichsen on Functional Service Design and Observability
At the microXchg 2017 conference, Uwe Friedrichsen discussed the core concepts of “Resilient Functional Service Design” and how to create observable systems. Friedrichsen believes that microservice developers must: learn about fault tolerant design patterns and caching; understand Domain-Driven Design (DDD) and modularity; and aim to design for replaceability of components rather than reuse.
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Charity Majors on Observability and Understanding the Operational Ramifications of a System
InfoQ recently sat down with Charity Majors, CEO of honeycomb.io and co-author of “Database Reliability Engineering” (with Laine Campbell), and discussed the topics of observability and monitoring.
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Observability and Avoiding Alert Overload from Microservices at the Financial Times
At QCon London, Sarah Wells presented "Avoiding Alerts Overload from Microservices", and cautioned that developers and operators must fundamentally change the way they think about monitoring when building a distributed microservice-based system.
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Q&A with Connon MacRae on DevOps Adoption and Operational Models at Ticketmaster
Connon MacRae from Ticketmaster on challenges and successes adopting DevOps. Also how operations look like in a global, multi-time zone, 24/7 availability org with 14 different ticketing products.
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Practical Monitoring: Book Review and Q&A with Mike Julian
Mike Julian has recently published Practical Monitoring with O’Reilly, which aims to provide readers with a foundational introduction to the topic of monitoring, as well as practical guidelines on how to monitor service-based applications and cloud infrastrastructure. InfoQ recently sat down with Julian and discussed the topic of monitoring.
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What Is "Cloud-Native" Data and Why Does It Matter?
We know what "cloud-native apps" are, but what about the data services they depend on? In this article, we look at ten characteristics of cloud-native data and the implications of each.