DevOps Predictions for 2019: Consolidation, Kubernetes, and DevSecOps
Industry leaders share their 2019 DevOps predictions, covering cloud-native consolidation, microservices maturity, Kubernetes complexity, and the rise of DevSecOps.
Industry leaders share their 2019 DevOps predictions, covering cloud-native consolidation, microservices maturity, Kubernetes complexity, and the rise of DevSecOps.
Vanguard’s CIO shares a practical framework for evaluating whether your agile adoption is genuine—covering infrastructure, DevSecOps pipelines, and an agile business culture—using the company’s own transformation journey as a case study.
Learn how engineering teams adopt continuous delivery pipelines, orchestrate toolchains, and use blue/green and canary deployment strategies to safely release microservices at speed.
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Machine learning is one of the most practical tools DevOps teams have for taming the complexity of modern application performance management. Here’s how it works and why big data is the foundation.
Measuring DevOps success is harder than it looks. Learn which four global metrics actually matter, which common measures do more harm than good, and why global context is everything.
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At ChefConf 2018, Chef unveiled Chef Automate 2.0 rebuilt in Go on a microservices architecture, along with updates to Chef Workstation, Habitat, and InSpec compliance tooling.
Telecoms operators are turning to microservices architectures and DevOps practices to escape vendor lock-in and accelerate BSS digital transformation. Industry collaboration is the critical missing ingredient.
The global container monitoring market is forecast to grow from $169.6 million in 2017 to $706.2 million by 2022, fuelled by the rapid adoption of microservices architectures and DevOps practices.
Federal agencies and enterprise DevOps teams are moving away from monolithic application architectures toward microservices. Here is what that shift means in practice and why it matters.
As DevOps, containers, and microservices accelerate application delivery, security must keep pace. This guide covers five practical strategies—from WAF deployment and continuous security automation to data-centric protection—that help engineering teams embed security throughout the development lifecycle.
Enterprises undergoing digital transformation are pairing microservices architectures with DevOps practices to build faster, more maintainable mobile and back-end systems. Here is what that shift looks like in practice.
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Microservices, serverless computing, and Function as a Service are fundamentally changing how development and operations teams work. Here is a clear breakdown of each model and what it means for DevOps practice.
Central cloud infrastructure alone cannot handle the data explosion driven by IoT. Edge cloud computing—processing data at or near the originating device—offers a scalable, lower-latency, and privacy-preserving alternative. Here’s what developers need to understand.
Lifting and shifting monolithic applications to the cloud rarely unlocks cloud’s full value. Microservices and containers offer a better path—but only when paired with robust monitoring and a culture built for rapid iteration.
Serverless computing abstracts infrastructure management away from developers, enabling event-driven, stateless microservices that scale automatically and bill only for what you consume. Here’s what DevOps engineers need to know.
As organizations deploy software dozens of times per day, security teams that cling to traditional gatekeeping roles risk becoming irrelevant. Here is how security can integrate into DevOps pipelines and add real value.
Microservices architecture forces architects to balance three competing forces: granularity, data consistency, and performance. Understanding how these factors interact is essential to designing systems that are scalable, resilient, and cost-effective.