Operations | Monitoring | ITSM | DevOps | Cloud

How Choosing The Right DLT Tier Can Reduce Databricks Costs

Databricks is a critical part of many organizations’ tech stacks, facilitating analytics, machine learning, and other leading-edge data engineering tasks. But when a service like Databricks becomes essential, it also tends to become a cost black hole, leading engineering teams to a quandary: How can you keep Databricks costs in check without hurting application performance? At CloudZero, we give organizations unparalleled visibility into their Databricks costs.

The Role of Data and AI in Shaping Modern Maintenance Practices

In today's industrial landscape, maintenance operations are undergoing a dramatic transformation. Gone are the days of reactive fixes and estimating when equipment might fail. Instead, companies are harnessing the power of data analytics and artificial intelligence to predict issues before they occur, optimize resources, and drive better business outcomes. This digital revolution is reshaping how organizations approach maintenance, creating smarter systems that learn, adapt, and improve over time. Let's explore how data and AI are revolutionizing maintenance practices across industries.

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code

Curious how time series forecasting fits into your InfluxDB 3 workflows? Let’s build a complete forecasting pipeline together using InfluxDB 3 Core’s Python Processing Engine and Facebook’s Prophet library. InfluxDB 3 Core’s Python Processing Engine dramatically lowers the barrier to entry—not just for experienced developers but for anyone with a basic understanding of time series data and Python.

Mastering Information Hygiene for Reliable Health Decisions

In today's digital age, we're drowning in a sea of health information. From Instagram influencers promoting the latest detox tea to YouTube gurus claiming they've found the secret to eternal youth, it's becoming increasingly challenging to separate fact from fiction. But here's the thing: when it comes to your health, misinformation isn't just annoying - it can be downright dangerous. Let's dive into how to find and verify reliable health information in this noisy digital landscape.

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here

After months of development, testing, and community feedback, we’re excited to announce the general availability (GA) release of InfluxDB 3 Core and InfluxDB 3 Enterprise. This release brings us closer to our vision for InfluxDB: a time series database that helps developers solve the problem of collecting, analyzing, monitoring, and acting on data across sensors, networks, servers, and applications. We view time series as a way to analyze, monitor, and act on data through time.

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data

InfluxDB 3 Core is an open source, high-speed, recent-data engine; InfluxDB 3 Enterprise adds performance, high availability, security, and scalability for mission-critical workloads Built-in Python Processing Engine brings collection, transformation, monitoring, alerting, and automation on time series data.

Elasticsearch 9.0 & 8.18: Cooked for developers, with another helping of blazing-fast BBQ - 5x faster than OpenSearch

We are proud to be releasing version Elasticsearch 9.0 and 8.18 to Elastic Cloud and self-managed users. The capabilities in these releases have already been available to our Elastic Cloud Serverless users, who have had access to generally available fully managed Elasticsearch on AWS, Azure, and GCP.

Aiven for PostgreSQL Performance Benchmarks Across Cloud Offerings

Aiven offers a seamless multi-service cross-cloud experience. When optimizing your infrastructure performance, understanding how services performance can change across clouds can help differentiate your business. This blog details the benchmarking of how PostgreSQL performs on each of our cloud offerings: AWS, GCP, OCI, and Azure.

Deadman Alerts with the Python Processing Engine

Sometimes silence isn’t golden; it’s a red flag. Whether you’re monitoring IoT sensors, system logs, or application metrics, missing data can be just as critical as abnormal data. Without visibility into these gaps, you risk overlooking potential failures, security threats, or operational inefficiencies. In time series workflows, detecting silence is often the first sign of trouble—whether it’s a network issue, device failure, sensor failure, or stalled process.