Curated articles, resources, tips and trends from the DevOps World.
Graph processing, AI and analytics company will use new investment to accelerate product roadmap execution, sales and marketing activities AUSTIN, TX – February 24, 2021 – Katana Graph, the high-performance scale-out graph processing, AI and analytics company, announced today that it has complet
A well-structured Software Development Life Cycle is of the utmost importance. Each phase in the SDLC requires its own set of security tools. Let's discuss! Introduction In the development of a robust software system, a well-structured Software Development Life Cycle (SDLC) is of utmost importance.
Enterprises are undergoing rapid changes. Throughout the past year, companies have been pressed to learn a diversified set of technologies and methods to remain agile in a changing economy.
We have seen an explosion in developer tools and platforms related to machine learning and artificial intelligence during the last few years. From cloud-based cognitive APIs to libraries to frameworks to pre-trained models, developers make many choices to infuse AI into their applications.
Jonah Kowall Jonah Kowall is the CTO of Logz.io. He has over 15 years of experience as an end user across startups and enterprises specializing in security and operations. In 2011, he joined Gartner as a Research VP focused on observability research and advice for IT leaders and CIOs.
DevSecOps comprises three important aspects—development, security, and operations. This framework utilizes tools for ensuring security right from the start. Introduction DevSecOps comprises three important aspects—development, security, and operations.
Learn how to create a unified api with GraphQL and Hasura so that there is only one endpoint to integrate with and you can get all the data you need in a single place. What is Unified API? A unified API is a single place to get all your data.
WSO2 sponsored this post. Web workers are used to offload resource-intensive tasks to a background thread in a web app. However, did you know we can also use them to safely store access tokens? This post explains how it can be done and the advantages of doing so.
Bruce H. Cottman, Ph.D. Estimates vary that Machine Learning Engineer labor time of 5–15% is spent on the Machine Learning engine (MLLabOps).
Fauna sponsored this post. Going serverless is easy. Compared to DevOps, Kubernetes and everything else one goes through in standard cloud architecture, it is like taking a warm bath.
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