Operations | Monitoring | ITSM | DevOps | Cloud

Diskless 2.0: Unified, Zero-Copy Apache Kafka

We’ve added Tiered Storage to Diskless Kafka—using plain old KIP-405 as the read-optimizer, Diskless Kafka materializes fast-to-read segments—unifying Tiered and Diskless into a single path. This leverages production-grade Tiered Storage plugin, removes the need for bespoke components, and simplifies the community discussion. We’ve also upgraded KIP-1150 and KIP-1163 to address the community’s most pressing questions such as transactions and queues support.

How Pepperdata Increases Resource Utilization for Reduced Costs on Kubernetes | Pepperdata

Without Pepperdata, the Kubernetes system scheduler only sees resource allocations—causing low utilization and inflated spend. Watch the video to learn how Pepperdata optimizes workloads running on Kubernetes. Visit pepperdata.com to learn more.

Data Historians vs. Time Series Databases: A Practical Path Forward

Industrial data strategy often feels like a choice: keep legacy systems or replace them outright. But neither extreme is ideal. Full replacements are disruptive and costly, while avoiding change leaves businesses stuck with tools that limit growth. The better path is incremental. Each organization has different needs, and modernization works best when you build on proven systems while adding new capabilities.

Powering AI Innovation with Splunk: Meet the Cisco Data Fabric

If you are leading technology innovation in your organization, you know the relentless surge of machine data is rewriting the rules of the digital enterprise. The upside? Incredible opportunities for AI-driven transformation. The challenge? Unprecedented complexity. Today’s leaders are under enormous pressure to unify, analyze, and act on a deluge of data streams across multiple environments.

AWS Athena, How It Works, And Why It Matters

Amazon Athena is heralded for its simplicity, pay-per-query pricing, and speed. Others say Athena has its fair share of limitations, which could affect your overall analytics experience and quality of analyses. So, what is what? In this post, we’ll share what AWS Athena does, compare it to Amazon Redshift, and share how to understand and control your Athena costs in AWS (with just one tool).

Understanding dbt: basics and best practices

Data Build Tool (dbt) is an open source analytics engineering framework that enables teams to transform raw data that has been loaded into a warehouse like Snowflake, BigQuery, Redshift, or Databricks using SQL-based workflows. dbt is available in two main forms: dbt Core, the free and open source CLI tool, and dbt Cloud, a managed platform that adds scheduling, UI support, collaboration tools, and native integrations.