Thanks for joining me for Part 3 of “The concise guide to Grafana Loki,” a series of blog posts that takes a closer look at best practices for various aspects of using the log aggregation system. Today’s post is my holiday present for all the folks out there running Loki who would like to get the most query performance they can out of their cluster.

As an engineer, you know your company’s problems, and you know what to do about them. However, being heard within your organization and funding a project can be challenging. Top executives might not understand your job’s ins and outs of the tools you need to do it well. Still, you need people holding the purse strings to understand why investing in your idea is brilliant.

With constantly decreasing user attention spans, ensuring a seamless user experience has become a priority for all digital businesses. Users who encounter minimal application disruptions and responsive interactions will likely stay engaged and loyal to your product. And that’s exactly what RUM or Real User Monitoring tools such as Coralogix’s RUM solution offer.

Launching a mobile App is no walk in the park, especially when it comes to your App’s store position and ratings. One of the trickiest parts is maintaining a good App store rating. An App’s store ratings are the key to its success. If you’re serious about your App succeeding in an oversaturated market, it is vital to implement strategies to both increase and maintain your App’s store ratings.

“Hasn’t everyone already migrated to the cloud?” is a question you might be considering now. For many businesses – sure, they’ve migrated workloads and operations to the major cloud providers like Amazon Web Service, Google Cloud Platform, and Microsoft Azure. Still, many businesses have just now worked through their due diligence and scalability concerns. While many businesses are “fully cloud,” there are just as many yet to migrate.

Can following log management best practices help organizations with their overall observability, as well as troubleshooting issues and security analytics? Absolutely. In addition, following log management best practices can provide significant competitive advantages when it comes to understanding your users. Centralized log management can help your team accelerate time to insights, and make changes to your applications that improve the user experience.

With 2023 drawing to a close, the final OpenObservability Talks of the year focused on what happened this year in open source, DevOps, observability and more, with an eye towards the future. I was delighted to be joined by a special guest, Kelsey Hightower, a renowned figure in the tech community, especially known for his contributions to the Kubernetes ecosystem.

Understanding the expected behavior of the Splunk Load Balanced (Splunk LB) Destination when Splunk indexers are blocking involves complex logic. While existing documentation provides details into how the load-balancing algorithm works, this blog post dives into how a Splunk LB Destination sends events downstream and explains the intricacies of blocking vs. queuing when multiple targets (i.e., indexers) are involved.

Serverless architectures such as AWS Lambda have created new challenges in debugging code. Without a solid logging framework in place, you could waste precious hours tracking down simple defects in your functions. A strategic logging framework can be a powerful way to track down and resolve bugs. Let’s walk through how to get the most out of logging Lambda functions.

Tucker Callaway (CEO, Mezmo) and Kevin Petrie (Vice President of Research, Eckerson Group) had a conversation centered around enterprises taking control of their data and the growing need for consolidated collection and management of telemetry data. They discuss how enterprises can optimize telemetry pipelines, take charge of their data, and enhance their observability and security game.