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Analytics

The Top 10 Web Analytics Dashboard Examples

Web analytics dashboards are essential tools for businesses looking to enhance their online presence, optimize user experience, and achieve their wider business objectives. By supplying actionable insights and facilitating data-driven decision-making, these dashboards help businesses stay competitive in today's digital landscape.

Product Update: SSO for InfluxDB Cloud Dedicated

InfluxDB Cloud Dedicated is a fully-managed InfluxDB offering that lets you run enterprise-grade workloads on cloud infrastructure dedicated to your workload and your workload alone. A common request from those running enterprise-grade workloads on InfluxDB is the ability to use single sign-on (“SSO”) to authorize access to InfluxDB. SSO is now available as a paid option for InfluxDB Cloud Dedicated clusters.

Is investing in AI-driven cloud services worth the expense?

Artificial intelligence (AI) is the next significant technological frontier, poised to revolutionize the tech sector, particularly through its massive impact on cloud infrastructures. By 2024, this transformation is expected to be as widespread as managed Kubernetes services, with an estimated 70% of organizations utilizing managed AI services in their cloud setups.

Monitor Snowflake Snowpark with Datadog

Snowflake is an AI data cloud platform that breaks down silos within an organization to enable wider collaboration with partners and customers for storing, managing, and analyzing data. With Snowpark and Snowpark Container Services (SPCS), organizations can leverage a set of libraries and execution environments directly in Snowflake to build applications and pipelines with familiar programming languages like Python and Java, all without having to move data across tools or platforms.

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB

For data-critical and data-intense sectors, like energy and renewables, access to data can be a make-or-break situation. As the complexity of the systems underpinning energy operations increases, collecting and analyzing that data is more challenging than ever before. Therefore, understanding what data sources are necessary, where they sit in the tech stack, and how they scale across an organization ‌is crucial for obtaining the insights energy companies need to maintain and optimize operations.

Snowflake data visualization: all the latest features to monitor metrics, enhance security, and more

In 2020, we introduced the Snowflake Enterprise data source plugin for Grafana, allowing users to seamlessly pull data from the Snowflake cloud-based data storage and analytics service into Grafana dashboards. Available for Grafana Enterprise and Grafana Cloud users, it’s a powerful way to not only query and visualize Snowlake data, but to do so alongside other data sources, so you can discover correlations and other meaningful insights within minutes.

Myth #1 of Apache Spark Optimization: Observability & Monitoring

In this blog series we’ll be examining the Five Myths of Apache Spark Optimization. (Stay tuned for the entire series!) The first myth examines a common assumption of many Spark users: Observing and monitoring your Spark environment means you’ll be able to find the wasteful apps and tune them.

Aiven workshop: Preparing and Using Data for AI with LangChain and OpenSearch

In this workshop we’ll work together to generate embeddings for podcast transcriptions and load that data into OpenSearch. Then we’ll search the documents using similarity search and use those results to improve our responses from an LLM (Large Language Model). Along the way we’ll explain the Retrieval Augmented Generation (RAG) pattern and show how it’s possible to try different LLMs without having to completely rewrite your code.

Build to scale with Aiven!

In this session, we will show how to leverage Aiven for Dragonfly and Aiven for AI. First, we’ll discuss how to increase your throughput and reduce memory usage by 25% compared to open-source Redis. Then explore scalability, efficiency, and advanced capabilities ideal for caching, gaming leaderboards, messaging, AI applications, and more. After that, we’ll jump into Aiven’s latest AI use cases and cover.