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big data

Apache Spark Grafana eBPF CNI OpenELB Anchore Grype API NetApp Spot

Best of 2023: Using Airflow to Run Spark on Kubernetes

Here's how to set up a Spark application on Kubernetes using the Airflow scheduler for data-intensive workloads ...
Chandan Pandey | January 2, 2024 | Airflow, Apache Spark, big data, container orchestration, data processing, kubernetes, Spark
big data DH2i cloud-native database data protection Databases and Postgres in Containers

Making the Most of Kubernetes for Big Data

Kubernetes (and not Hadoop) has emerged as the most logical containerization system for enterprise-grade big data ...
Ash Munshi | October 10, 2023 | big data, cloud native application development, data analytics, KubeCon, kubernetes, Pepperdata
Hadoop MapR Embraces Kubernetes for Big Data

Best of 2022: Big Data on Kubernetes: The End For Hadoop?

As we close out 2022, we at Container Journal wanted to highlight the most popular articles of the year. Following is the latest in our series of the Best of 2022. When ...
Jessica Day | December 27, 2022 | apache, big data, hadoop, kubernetes
Azure

Cloudera’s Data Management Platform Comes to OpenShift

Cloudera today announced that it plans to make an instance of its data management platform based on Hadoop generally available this summer on Red Hat OpenShift, which is based on Kubernetes. Arun ...
Mike Vizard | June 11, 2020 | big data, cloud services, data management, data warehouse, hadoop, kubernetes, microservices, on-premises infrastructure
EaaS edge CFF

Actifio Simplifies Copying Data Using Containers

Actifio today made available an update to its namesake copy management software to make it easier to clone databases consisting of terabytes of data using containers. Chandra Reddy, senior vice president of ...
Mike Vizard | December 17, 2019 | Actifio, big data, containers, data, production database, storage
Apache Spark

Google Aims to Wed Apache Spark to Kubernetes

Google today announced it will extend Google Cloud Dataproc, a managed service for accessing the Apache Spark in-memory computing framework, to Kubernetes. James Malone, a Google senior product manager, says Google will ...
Mike Vizard | September 10, 2019 | Apache Spark, big data, google, Google Cloud, in-memory computing, kubernetes
Hadoop MapR Embraces Kubernetes for Big Data

MapR Embraces Kubernetes for Big Data

MapR Technologies announced it has integrated its distribution of the open source Apache Spark framework and the Drill query engine platform with Kubernetes. Suzy Visvanathan, senior director for product management at MapR, ...
Mike Vizard | April 2, 2019 | Apache Spark, big data, big data frameworks, kubernetes, MapR, MapR Drill
storage PaaS vs. KaaS

MapR Adds Support for Container Storage Interface

MapR Technologies this week announced it has added support for the Container Storage Interface (CSI) to its platform for running big data analytics applications. Suzy Visvanathan, director of product management for MapR, ...
Mike Vizard | February 8, 2019 | big data, container storage interface, containers, CSI, kubernetes, storage
Paxata Employs Kubernetes

Paxata Employs Kubernetes to Extend Data Prep Tool

Paxata has extended the reach of its data preparation software for big data into the realm of the cloud by employing Kubernetes clusters to create a runtime to process jobs in batch ...
Mike Vizard | August 15, 2018 | big data, kubernetes, Paxata
Pepperdata Project Hosts HDFS on Kubernetes

Pepperdata Project Hosts HDFS on Kubernetes

Pepperdata has launched a project aiming to enable the Apache Spark in-memory computing framework for big data analytics applications. Pepperdata CTO Sean Suchter says the Hadoop File System (HDFS) on Kubernetes open-source ...
Mike Vizard | November 14, 2017 | analytics, Apache Spark, big data, Hadoop File System, HDFS, HDFS on Kubernetes, kubernetes, open source, Pepperdata
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AppSec in 2026: Security at Machine Speed — or Not at All
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AppSec in 2026: Security at Machine Speed — or Not at All
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Analyze Terraform using Agentic GenAI workflows
Multi-Million-Dollar Lessons: What FinOps Maturity Actually Looks Like
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From Prompt to Exploit: How LLMs Are Changing API Attacks
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Data is the Differentiator for Exposure Management
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The Context Engine: Why Consolidation is the Natural Future of AppSec
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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

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SUSE Rancher Prime Throws a Lasso Around VM and Container Management

March 26, 2026

Broadcom Extends Reach and Scope of Kubernetes Platform

March 24, 2026

Docker Inc. Allies with NanoCo to Deploy General-Purpose AI Agent Safely

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Kubernetes Builds a Sandbox CRD for AI Agents

March 25, 2026

Istio Weaves ‘Future-Ready’ Service Mesh for AI 

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The State of Incident Response and Observability

Step 1 of 7

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Which of the following best describes your involvement with observability or incident response in your organization?(Required)
What are your biggest pain points in incident response today? (Select up to 4)(Required)
Which of the following best describes your team’s current use of AI in observability and operations?(Required)
When your team uses or has evaluated AI-assisted observability, how well does the AI include the full context of an incident—including relationships across services, infrastructure, recent changes, and team knowledge?(Required)
If an AI agent could investigate incidents and identify root cause in minutes, what would you most want it to do next?(Required)
What are the two biggest risks to your production environment today? (Select no more than 2)(Required)
What percentage of your team’s operational time is spent on reactive incident response versus proactive prevention and improvement?(Required)

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