Aiven AI Database Optimizer
Aiven AI Database Optimizer: Troubleshoot PostgreSQL and MySQL database performance issues within seconds, get instant optimization recommendations, and reduce your databases cost. Powered by EverSQL by Aiven.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
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.
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.
Why Shift Left? Exploring Cost Efficiency in Agile and Waterfall
Watch the full session at: slrwnds.com/TC24 SHIFT LEFT: A Better Approach to DataOps Kevin Kline and Kevin M. Sparenberg You're familiar with DevOps, but have you thought about DataOps? Data Operations is all about breaking down barriers between data managers and data consumers. DevOps is centered on product development, while DataOps shortens the cycle time for analytics and align with organizational goals. In short, DataOps helps you make data-driven decisions.
Anodot vs. Yotascale: Which FinOps Provider Should MSPs Trust?
MSPs can’t afford to use a Cloud Management Solution (CMS) that doesn’t follow their FinOps standards. Even with useful features, if a CMS hasn’t seen significant upgrades since its launch, it’s likely outdated and not meeting industry standards. If you can’t count on a CSM for the best FinOps recommendations, can you call them reliable partners? That’s just one of the major differentiators between us (Anodot) and Yotascale.
Deadman Alerts with Grafana and InfluxDB Cloud 3.0
Flagging failures or inactivity in your monitoring system are crucial for maintaining operational reliability. This blog will guide you through setting up deadman alerts using Grafana and InfluxDB Cloud, tools that help you detect issues before they become critical. We’llintegrating Grafana’s visualization capabilities with InfluxDB Cloud’s data management features to create a robust monitoring system.