In Part 1 of this series, we looked at how Snowflake enables users to easily store, process, analyze, and share high volumes of structured and semi-structured data, as well as key metrics for monitoring compute costs, storage, and datasets. In this post, we’ll walk through how to collect and analyze these metrics using Snowsight, Snowflake’s built-in web interface.

In Part 2 of this series, we looked at Snowflake’s built-in monitoring services for compute, query, and storage. In this post, we’ll demonstrate how Datadog complements and extends Snowflake’s existing monitoring and data visualization capabilities, enabling teams to get deeper visibility and extract more valuable insights from their Snowflake data.

There’s a common misunderstanding that profiling is only useful for tiny savings that impact infra costs at scale - the so-called “milliseconds matter” approach. But by dogfooding our own profiling tools, we fixed a problem that saved tens of seconds off each user interaction with our AI agent (and for those of you who like math, that’s four orders of magnitude bigger than those milliseconds that matter).

Your ITOps and Incident Management teams face thousands of alerts daily. How can they find the “needle in the haystack” to prevent critical alerts from escalating into incidents that impact users and customers? This challenge plagues modern IT departments as alert noise, fragmented data, and chaotic workflows extend response times and undermine service reliability.

Hello everyone! We might be a bit late, but we wanted to give everyone time to get back from the holidays. We hope you all had a fantastic break and wish you a great 2025!

Data drives the modern business world, and organizations capable of leveraging it effectively maintain a significant edge over their competition. Business Intelligence (BI) has emerged as a critical tool, enabling companies to turn raw data into actionable insights. But what exactly is BI? This blog explores everything you need to know about business intelligence, from its components to use cases, to implementation strategies.

Autonomous IT operations play a crucial role in enhancing the effectiveness and resilience of IT teams. Automating routine tasks and monitoring systems in real-time enables teams to respond swiftly to operational disturbances, minimizing downtime and disruptions. This proactive approach helps address issues before they escalate, fosters a more agile IT environment, and facilitates the journey to Autonomic IT.

As we step into a new year, Neil Templeton, SVP of Marketing, highlights four transformative trends that are reshaping network infrastructure and revolutionising how data moves across diverse ecosystems. In this blog, we explore these pivotal themes and offer key insights for organisations seeking to optimise and secure the movement of their data across clouds, data centres, devices and more.

Imagine this familiar scenario: it’s 2 a.m., and a critical service goes down. Your phone starts buzzing nonstop with alerts — all essentially saying the same thing. It’s overwhelming, distracting, and makes it that much harder to focus on fixing the problem. Enter Alert Grouping — it’s our smarter way to manage alerts, designed to help you cut through the clutter and focus on what matters.

Kubernetes (K8s) is a complex container orchestration tool, but using Terraform can simplify creating and managing a Kubernetes cluster. In this article, we'll explore how Terraform streamlines the deployment of a GKE cluster, making it easier and more efficient.

Modern enterprises face many challenges, hampering efficiency and innovation amidst tight budgets and safeguarding your brand against escalating cyber threats. Unpatched systems are also prime targets for cybercriminals who aim to access an organization’s sensitive information, intellectual property, and confidential business data. Traditionally, addressing these challenges required many point solutions, creating disjointed management.