Operations | Monitoring | ITSM | DevOps | Cloud

How we cut Spark compute costs by 44% with agentic AI and Datadog Jobs Monitoring

Spark jobs only get more expensive and harder to debug as they scale. It’s a problem we’ve run into ourselves. Our Referential Data Platform team builds and maintains the knowledge graph that maps relationships between customers’ observability entities. ServiceQueryEdge is at the center of that graph, mapping service entities to their associated metric and log queries.

Route Planning Software for Operational Efficiency

Route planning affects more than delivery speed. It influences fuel use, labor costs, customer satisfaction, fleet capacity, dispatch workload, and service reliability. For companies that move products, parts, equipment, technicians, or field teams, poor routing creates daily operational waste. Manual route planning may work for a small number of stops. It becomes unreliable when delivery windows, traffic patterns, driver availability, vehicle capacity, customer priorities, and same-day changes increase.

Building Agents that Remember: The OpenSearch Developer Tier

OpenSearch isn't just a search engine anymore. Recent releases moved it into AI infrastructure: agentic memory built in, Better Binary Quantization (BBQ) compressing vectors 32x, token-usage tracking, and a one-command Observability Stack. A stack for building practical AI applications, not just indexing. The catch is that production-sized OpenSearch clusters aren't where you want to prototype.

Data Science Services for Enterprises: Use Cases, Stack, Vendor Selection

Day after day, large-scale enterprises generate terabytes of information: supply logs, transactions, equipment telemetry, CRM data, and never-ending reports. Most executives realize there is a major asset hidden within this information. But how can unfiltered findings be transformed into yielding profits?

Top 5 AI-Powered Database Query Tools for Data Analysts

Data analysts spend a large part of their workday translating business questions into database logic. A stakeholder asks why revenue changed. A product manager wants to compare cohorts. A finance team needs a variance explained. The question may sound simple, but the path to the answer often involves finding the right tables, understanding how fields are defined, writing SQL, validating joins, checking filters, and making sure the result matches the intended business meaning.

How to Build a Data-Driven SEO Strategy: From Audit to Actionable Insights

You publish great content. You tweak your titles. You build a few backlinks. And yet - your traffic stays flat, your rankings barely budge, and your competitors seem to leapfrog you effortlessly. Sound familiar? The problem isn't effort. The problem is guesswork. Most SEO strategies fail because they treat optimization as an art rather than a science. They skip the foundational step of understanding what's actually broken on their site, which keywords genuinely move the needle, and how to use data to make smarter decisions every step of the way.

New Explore: Faster answers, less friction, and a better way to investigate your data

There is a moment every engineer knows too well. Something is wrong in production. You have an alert, a vague symptom, and pressure to find the one signal that explains what changed. You open your logs and traces, and you immediately hit the same two problems: the dataset is huge, and the path from “I see something odd” to “I understand why” is full of tiny, exhausting steps. Meet new Explore, our redesigned investigation experience for logs, traces, and spans.

Exploring Powerful Power BI Dashboards for Smarter Decision-Making

Operational dashboards help teams answer urgent business questions quickly. They show whether production is on track, inventory is healthy, downtime is rising, or resources are being stretched too thin. This article explores practical Power BI dashboard examples for operational efficiency across production, supply chain management, resource planning, and performance measurement. It also explains how to build dashboards that support real decisions rather than simply displaying data.

A Runnable Reference Architecture for Industrial IoT on InfluxDB 3

Industrial teams keep telling us the same thing: the data is there, but the stack to act on it isn’t. PLCs, CNCs, SCADA systems, vibration sensors, and quality stations all generate high-frequency telemetry that gets stranded in proprietary historians or stitched together with point integrations nobody wants to own. By the time anyone looks at it, the moment to act has passed.