Operations | Monitoring | ITSM | DevOps | Cloud

Split projects and users across multiple organizations

As an organization owner, you can grant your key contributors permission to manage all your projects, billing information, or users within your organization. But… What if you are an agency that builds websites on behalf of multiple customers, and you want to invoice your customers directly? What if your company manages multiple business units or departments, all of which have their invoicing and billing requirements or their own contracts with Upsun?

Ask Miss O11y: Logs vs. Traces

Ah, good question! TL;DR: Trace instead of log. Traces show connection, performance, concurrency, and causality. Logs are the original observability, right? Back in the day, I did all my debugging with `printf.` Sometimes I still write `console.log(“JESS WAS HERE”)` to see that my code ran. That’s instrumentation, technically. What if I emitted a “JESS WAS HERE” span instead? What’s so great about a span in a trace? Yeah, and so do logs in any decent framework.

Video: Get started with Grafana Mimir in minutes

Since we launched Grafana Mimir — the most scalable, most performant open source time series database in the world — we have answered many of your questions about our latest open source project, including how to pronounce it. (All together now: /mɪ’mir/.) We have walked through how we scaled Grafana Mimir to 1 billion active series. And we will be hosting webinars to showcase cutting-edge features like query sharding and the two-stage compactor.

How to Measure and Reduce Data Center Energy Consumption

Data center energy consumption is on the rise as the demand for computing power and digital services continues to grow. To reduce data center carbon emissions, many data center managers now have corporate sustainability goals that they must comply with. According to KPMG, 80% of companies now report on their sustainability. The benefits of increasing data center energy efficiency are vast.

The ins, outs, and benefits of using Grafana Loki as a backend logging solution

As organizations have moved from monolithic to microservice-based architectures, there has been an explosion in the volume of logs generated. Most logging solutions create a full index of the logs and use SSD drives, which results in costly compute and storage resources for logs that are mostly write once, read never. We created Grafana Loki to solve these problems. Loki only indexes the metadata of the log lines, relies on inexpensive object storage, and is architected for scalability. In addition, Loki takes advantage of parallelism and sharding that results in fast query performance. In this session, we will discuss the benefits of using Loki as a backend logging solution.

Analyzing Cardinality in Grafana Cloud and Grafana Enterprise Metrics

Cardinality Analysis of metrics is an enabler to reducing costs and focusing observability on the necessary metrics to identify and investigate where issues are occurring in your services. Grafana has added cardinality management dashboards to Grafana Cloud and Grafana Enterprise Metrics to make this an easy and fast process. In this introductory session, we will provide an overview of the Grafana Cardinality features and offer a set of discovery questions to help you with the process.

The key principles that doubled eBay's software delivery productivity ft. Randy Shoup

Rob is joined by Randy Shoup, VP of Engineering at eBay to discuss how to deliver fast, without losing quality. Learn about the value of consistent teams, having a long-term vision, and diligently measuring against key success metrics. Tune in today to find out how your team can increase productivity and move even faster.

SAST vs DAST: what they are and when to use them

As digital transformation accelerates and more organizations use software solutions to facilitate work operations, security threats have become more commonplace. Cybercriminals tirelessly develop ways to exploit software application vulnerabilities to target organizational networks. A notable example is the 2017 Equifax data breach, which exposed the personal details of 145 million Americans.