As Serverless approaches end of early-adopter phase, Mike Roberts puts on prediction goggles on where this movement is going next and what changes are needed from organizations in order to support it.
Stackify was founded in 2012, making it a relatively new player in the field of Application Performance Management (APM) and code profilers. InfoQ reached out to Matt Watson, founder and CEO of Stackify, to learn more about its products Prefix and Retrace.
Advice on the best talks to attend at QCon London 2017 from London Thought Leaders.
To improve the performance of a Node.js application that involves IO, you need to understand how your CPU cycles are spent and what is preventing higher degrees of parallelism in your application.
JMeter is an indispensable tool for testing load and functionality of multi-tiered applications. This book is the manual that should have been included to help surmount the learning curve.
New approaches in security are needed to address the challenges of DevOps. They must incorporate practices that rely on modularity, automation, standardization, auditability, and mirrored systems.
The third edition of The Practice of System and Network Administration incorporates developments like DevOps, infrastructure as code, continuous integration, operational excellence and assessments.
Code Reviews should improve quality and share knowledge. This article lists a wide range of items to check during a review, and drills deeper into two specific areas: performance and security. 2
Donald Knuth famously said, “We should forget about small efficiencies, say about 97% of the time”. But when faced with the other 3%, it is good to know what’s going on behind the scenes. 2
"Site Reliability Engineering - How Google Runs Production Systems" is an open window into Google's experience and expertise on running some of the largest IT systems in the world.
InfoQ interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
Are you patting yourself on the back for remarkable turn around times while simultaneously neglecting your customers? Stop measuring turn around time and start learning what matters to customers. 2
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