Operations | Monitoring | ITSM | DevOps | Cloud

Your users already know what's relevant. Are you listening?

TL;DR If you work on search relevance, you know the feeling. You ship a synonym. You boost a field. You add a vector model. You stare at a judgment set that was labeled six months ago and hope the next NDCG number moves in the right direction. Somewhere between offline metrics and production traffic, a quiet gap opens: you optimized for what you think users want, not for what they actually do when the results appear. That gap is not a failure of effort. It is a missing feedback loop.

Diskless Topics on Aiven for Apache Kafka

Diskless moves Kafka replication into object storage, removing cross-AZ fees. See how diskless topics work, then create one live on Aiven for Apache Kafka. AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.

Tame the data chaos with Sumo Logic's Data Pipelines

Security and operations teams are collecting more telemetry than ever, and AI is accelerating that curve. IDC projects the world will generate 393.9 zettabytes of data in 2028, up from 149 zettabytes in 2024, with AI and machine learning workloads driving much of that growth. That growth forces a hard trade-off. Ingest everything, and you pay for it. Filter aggressively, and you risk missing the signal that matters.

How to Scrape Google Maps at Scale: A Practical Data Pipeline Guide

Collecting a few Google Maps listings is easy. The engineering work starts when the same job has to run across dozens of cities, multiple business categories, and a recurring schedule. Take a project covering 30 cities and 10 categories. That already creates 300 search combinations before neighborhoods or alternate keywords are added. If the dataset needs to be refreshed every week, the job quickly moves beyond a one-time export. You have to keep searches consistent, track failures, avoid duplicate records, and make sure each run still looks like the last one.

Data Science Course in Thane: Institutes with the Best Placement Assistance Records (2026-2030)

So, if you're on the hunt for the Best Data Science Courses in Thane, what you require is more than a certificate. The course you take must have assurance in terms of skills, industry reputation and most importantly good placement assistance. As we enter the year 2026, it is important to know that Thane is becoming an education and technological hub in the region of Mumbai Metropolis, with multiple institutions providing courses on Data Science. However, there aren't many which offer good placements along with high-end courses in data science.

6 Essential Metrics Businesses Should Know When Using a Financial Analytics Platform

Understanding financial metrics is crucial for businesses aiming to thrive in the competitive landscape of accounting, business, and economy. With the integration of a Financial Analytics Platform, companies can leverage data-driven insights to make informed decisions that enhance operational efficiency and profitability. This article explores six essential metrics that every business should focus on when utilizing such platforms, ensuring they are equipped with the tools to analyze performance, manage costs, and strategize for future growth.

Building an AI-Powered Time Series Dashboard for Data Center Ops

AI demand is pushing data centers to get bigger, denser, and more distributed, while the data that runs them still often sits in different systems, slowing down operations and hampering efficiency. By leveraging a time series database like InfluxDB to create a single, unified telemetry layer, you can simplify your data stack, comfortably handle the high volume of data, and solve problems faster and more efficiently, helping to minimize waste and maximize efficiency, saving time, electricity, equipment, and money.

Building a Practical Time Series Data Layer for Automotive Manufacturing

Table of Contents Automotive manufacturing generates data at several operating cadences. Sensors and controllers emit measurements continuously. Equipment and line states change as events. Production and quality systems add context at the part, batch, shift, and plant level. Together, these records describe how a manufacturing process behaves over time.

Getting Started with InfluxDB 3 and Grafana Tutorial

Summary This guide walks through an end-to-end Grafana and InfluxDB 3 integration using a realistic dataset you generate yourself. The tutorial covers getting data in, transforming it, connecting Grafana, and building real dashboards. Table of Contents InfluxDB and Grafana are the most common pairing in time series monitoring, and division of labor between them is simple.