Operations | Monitoring | ITSM | DevOps | Cloud

How to monitor Snowflake performance and data quality with Datadog

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.

Tools for collecting and monitoring key Snowflake metrics

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.

Key metrics for monitoring Snowflake cost and data quality

Snowflake is a self-managed data platform that enables users to easily store, process, analyze, and share high volumes of structured and semi-structured data. One of the most popular data platforms on the market, Snowflake has gained widespread adoption because it addresses a range of data challenges with a unified, scalable, and high-performance platform. Snowflake’s flexibility enables users to handle diverse workloads, such as data lake and data warehouse integration.

InfluxQL vs SQL for InfluxDB

InfluxDB is a purpose-built time series database designed to handle high-write throughput and large volumes of time-stamped data. From monitoring system metrics to tracking IoT device readings and analyzing financial trends, it excels in scenarios where time is a fundamental factor. With the release of InfluxDB v3, users now benefit from dual query language support: SQL and InfluxQL.

The Best Real-Time Data Streaming Tools

For organizations, it is crucial to swiftly respond to evolving market dynamics, shifting customer preferences, and emerging operational challenges. This responsiveness is made possible through the use of real-time data streaming technologies, which provide a dynamic and profound understanding of the environment. In this article, we will outline why real-time data streaming is beneficial before listing the leading real-time data streaming tools currently available.
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How Log Analytics Powers Four Essential CloudOps Use Cases

Cloud computing shapes the ability of enterprises to transform themselves and effectively compete. By renting elastic cloud resources, enterprises can support new customer platforms, distributed workforces, and back-office operations. The cross-functional discipline of CloudOps helps enterprises manage cloud resources by optimizing applications and infrastructure. But, none of this can be done without the right strategies and techniques to analyze your application telemetry data - primarily logs and events.

Amazon Bedrock vs OpenAI: Guide to Your Best Generative AI Platform

Amazon has heard FinOps practitioners’ cries asking for new AI tools, and the answer is Titan and AWS Bedrock. These new tools provide the same generative AI abilities of generating images like expected from DALL-E, operating like a Large Language Model (LLM) like ChatGPT, and even transcribing audio to text. But how do these new tools compare to pre-existing ones like Azure’s OpenAI? Most importantly, which of these tools is the best financial investment for your organization?

How Amazon Product Analytics Software Enhances Advertising Campaigns

In today's changing landscape of shopping, businesses are always looking for ways to improve their tactics and stay ahead of the competition. One popular tool that is becoming more and more important is product analytics software, designed specifically for those who sell on Amazon. This type of software offers valuable information that can help businesses fine-tune their marketing campaigns and reach greater success. Exploring how this technology boosts marketing strategies can assist sellers in streamlining their business practices and boosting profits.

AWS Bedrock Pricing: Your 2025 Guide to Amazon Bedrock Costs

The future is AI. That’s a fact, and all the major cloud corporations are taking notice and investing in generative AI offerings to serve their customers better. Microsoft Azure has invested in OpenAI‘s ChatGPT, Google has Vertex AI, and Amazon has created Bedrock. But what exactly is AWS Bedrock? And, most importantly, how much will it cost? Will this generative AI be an easy investment, or will you have to break the budget to squeeze it in?