Splunk’s .conf19 conference drew more than 11,000 attendees to Las Vegas, where executives unveiled Splunk Enterprise 8.0, Mission Control, FedRAMP authorization for Splunk Cloud, and a vision centered on moving from data collection to data-driven action.
Google announced significant updates to its Cloud AI Platform, introducing custom container support for training, flexible machine types, GPU/TPU-accelerated inference, and BigQuery prediction logging — making ML model development and deployment more flexible for DevOps and ML engineering teams.
After losing the Pentagon’s $10 billion JEDI cloud contract to Microsoft, AWS faced a narrow set of options to challenge the award. Here’s a detailed breakdown of what happened, why Microsoft won, and what the decision means for enterprise cloud competition.
Learn how Descartes Labs built a self-service, high-velocity continuous delivery pipeline using Spinnaker, Kubernetes, and Istio to safely deploy mission-critical geospatial workloads at scale.
GitHub and Weights & Biases released the CodeSearchNet Challenge and Corpus — a large-scale dataset and evaluation benchmark designed to advance semantic code search across six programming languages.
Cloudera Data Platform (CDP) is far more than a merged CDH/HDP distribution. This deep-dive covers CDP’s architecture, Kubernetes-based compute/storage separation, control plane, and what the launch means for enterprise data engineering teams.
Northern Virginia Community College is collaborating with the U.S. Marine Corps and Amazon Web Services to deliver a data intelligence curriculum covering cloud computing, machine learning, and AI—giving Marines a path to an AWS certification and an associate degree.
Kubernetes has become the de facto standard for container orchestration, but choosing the right enterprise management platform requires careful evaluation. This guide covers key selection criteria and compares leading managed Kubernetes solutions.
GliaCloud’s GliaStudio is now available on the Google Cloud Platform Marketplace, enabling media publishers, marketers, and streaming services to generate videos automatically from text, social posts, sports data, and more.
GitHub is testing OctaLinuga, a neural network built with Python, Keras, and TensorFlow, designed to automatically identify programming languages across code repositories, READMEs, issues, and pull requests.
Compuware integrates its machine-learning analytics tool zAdviser with its ISPW mainframe CI/CD platform, helping enterprises surface developer productivity insights, reduce technical debt, and close the gap between mainframe and distributed DevOps pipelines.
The nature of work has fundamentally shifted. Understanding workflows—and how to automate, optimize, and continuously improve them—is now a core DevOps competency.
Continuous integration and continuous deployment aren’t just for application developers. Learn how CI/CD practices apply to data science and machine learning workflows, reduce technical debt, and help teams ship models with confidence.
AI systems don’t run themselves reliably after deployment. DevOps teams need a dedicated AI overseer role to catch errors, bias, gaps, and ethical failures before they cause real harm.
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AIOps brings machine learning to IT operations, breaking down data silos and helping DevOps teams identify, correlate, and resolve incidents faster than manual methods allow.
From IBM mainframes in the 1960s to cloud-native DevOps pipelines and IoT service virtualization today, this article traces where virtualization is heading next and what gaps still need to be filled.
Most ML projects never reach production. Learn why model productionization is the biggest bottleneck in analytics pipelines, and what a modern model deployment strategy—covering technology, process, and organization—looks like in practice.
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A SlashData survey of more than 20,500 developers found that machine learning and data science top the list of skills developers plan to acquire, with Python emerging as the language of choice in the data science space.
