Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

The strata of data: Accessing the gold in human information

I married into a family of geologists and rock and gem enthusiasts, and that bit of serendipity has added immensely to my life. Whenever we go on family hike excursions, I learn so much more about the landscape than I could have ever hoped to from my own educational path, and as a bonus my home gets adorned with tastefully and expertly chosen specimens from around the world.

The Leading Analytics Dashboard Examples

You're mostly likely already tracking numerous business critical metrics but you may not be aware of how to make this process quicker and simpler. Analytics dashboards are graphical user interfaces (GUIs) that offer visual representations of data collected from multiple sources, such as databases, websites, applications, or other data repositories. These dashboards can make it much easier to derive insights from your analysis compared to examining numbers and metrics.

Building the Cribl Lake Team: A Customer-Centric Approach

In today’s fast-paced tech landscape, how does a company ensure that its products truly meet the needs of its customers? At Cribl, the answer lies in our unwavering commitment to a customer-centric mindset. This philosophy has driven our success, enabling us to develop groundbreaking solutions like Cribl Lake. The story of Cribl Lake is not just about the product itself but also about the people behind it and our unique approach to building the team that brought this solution to life.