Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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 Even with useful features, if a CMS hasn’t seen significant upgrades since its launch, it’s likely outdated and not meeting industry standards.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.

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.

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.

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.

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.