Operations | Monitoring | ITSM | DevOps | Cloud

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Optimizing Space Technology: Fast Data Access with InfluxDB and Apache Parquet

To win the space race, aerospace and aviation companies must be fast. The end-to-end cycle of testing, visualizing test data, and making improvements demands swiftness, especially when a single launch yields billions of data points. It starts with real-time access to data. Real-time data analysis with nanosecond precision is crucial for monitoring environmental and habitat conditions when lives are at stake. Speeding up the iteration pipeline is essential but not sufficient. Cost efficiency matters too.

Debug Third-Party APIs with Requests

The internet is basically just a bunch of websites calling each other. You make a call to some service, that service calls you back, and then that service goes down and ruins your afternoon. Requests, our latest addition to Insights, is a place to see, understand, track, and improve the behavior of outgoing HTTP requests.

Complete Azure SQL Pricing Guide

Azure Structured Query Language (SQL) has 18 different deployment options, service tiers, compute models, and two different pricing models: vCores and Database Transaction Units (DTU). Because of these complexities, it’s nearly impossible to project monthly budgets! This guide will explain the common Azure SQL pricing configurations and offer tips on optimizing your cloud budget.

GenAI Efficiency 101: 2 Easy Ways To Proactively Maximize ROI On GenAI Projects

Republicans and Democrats don’t agree on much, but when it comes to generative AI, they’ve managed to find 32 billion points of agreement. On May 15, a bipartisan group of senators unveiled a roadmap that would have the U.S. government spending $32 billion annually by 2026 to drive AI-related innovation. The U.S. isn’t alone; AI spending in India is growing at an annual average rate of 31.5%, and will exceed $5 billion by 2027.

Mastering Cloud Cost Optimization? 15+ Best Practices For 2024

The cloud offers on-demand computing resources, the ability to increase or reduce usage as needed, and the flexibility to pay only for what you use. But if you’ve been building on the cloud for some time, you know that the last part isn’t exactly straightforward. For example, leaving aggressive product features, engineering sessions, or testing projects unchecked can quickly waste thousands, even millions of dollars in a matter of days.

How Logz.io Provides Trustworthy Observability through AI

The business of observability is all about data: what you’re observing in the data, how you’re visualizing it, what it indicates about the state of your environment, and how to address issues that may occur. Creating your own perspective for observability, and understanding what you’re seeing, can be difficult.

Retail Observability | Softcat + Grafana

Grafana empowers retailers to deliver unmatched customer experiences, reduce costs, and optimize delivery with omnichannel observability. Innovate faster, increase agility, and watch your business thrive. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.

Edge Computing vs Cloud Computing: Key Differences Explained

Edge computing vs cloud computing: what's best for your business? Finding the best approach for your business can take some trial and error, as well as some time researching how each technology and digital infrastructure choice can support your business goals. When choosing between cloud and edge computing, you will need to know what they are, what the differences between the two are, and how each can strengthen your business's operations in its own way.

Why "page.goto()" is slowing down your Playwright tests

When you invest time and effort into creating a well-running end-to-end test suite or adopt Playwright synthetic monitoring with Checkly, you should focus on two things. Your tests must be stable because few things are worse than an unreliable test suite. But also, your tests must be fast because no one wants to wait hours to receive the green light when you're on the edge of your seat to deploy this critical production hotfix.