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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

Independence with OpenTelemetry on Elastic

The drive for faster, more scalable services is on the rise. Our day-to-day lives depend on apps, from a food delivery app to have your favorite meal delivered, to your banking app to manage your accounts, to even apps to schedule doctor’s appointments. These apps need to be able to grow from not only a features standpoint but also in terms of user capacity. The scale and need for global reach drives increasing complexity for these high-demand cloud applications.

Grafana vs. Splunk

Are you trying to choose between Grafana and Splunk, but can't find enough information about their capabilities? In this blog, we highlight the details of why a user should select Grafana OR Splunk as part of their monitoring stack and what are the user benefits of each. Also, you can check out what it's like to make your own Grafana dashboard using our MetricFire free trial. Get onto the product in minutes and see if you prefer Grafana over Splunk.

Cribl.Cloud Is Now On AWS Marketplace!

As of 2022, 49% of enterprise workloads and data are in a public cloud, and that number is expected to increase by 6-7% over the next year. Why? With big cloud moves come big benefits: optimized performance, reduced management overhead, and cost savings on data centers. However, it also comes with the struggle to get a handle over never-ending data growth. Customers are looking to Cribl to help route and process that data at scale and need a seamless way to get started within minutes.

Reduce Data Costs: Log Sampling with OpenTelemetry and BindPlane OP

Redundant logs are a common nuisance in observability pipelines of all kinds. In large environments, excess logs can multiply data costs to unsustainable amounts. Log sampling is the process of randomly sampling logs to produce the same valuable insight with dramatically reduced data flow. Configuring agents in a pipeline to appropriately sample logs can be a pain. Pipeline managers, like BindPlane OP, make that process simple and scalable.

5 Reasons Why OpenTelemetry is the Future of Observability

It has been said that open source is eating the world and in the observability space, the project behind this movement is OpenTelemetry. The project is quickly becoming the standard for instrumentation and collection of observability data. Why is an open standard and open-source approach to instrumentation and data collection so compelling? This talk will provide five reasons why OpenTelemetry is disrupting the observability market.

Pipeline Profiling: Or How I Learned to Stop Worrying and Isolate the Problem

It’s that time of year again! If you’re not a procrastinator, you’ve probably already blown out your sprinklers for winter and are looking forward to the snow and holidays ahead. Well done, irrigation purists! I, on the other hand, am an olympic-level procrastinator and will usually wait until the last moment before NWS forecasts a 10″ snow for the night then frantically search for my air compressor.

The Human Element of Tech Development

Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them. In this episode, David Noblet, Co-Founder + Chief Architect at ChaosSearch, shares how he and his team find innovative ways to improve digital services for their clients by constantly taking inspiration from their daily lives.

Grafana 9.2: Create, edit queries easier with the new Grafana Loki query variable editor

As part of the Grafana 9.2 release, we’re making it easier to create dynamic and interactive dashboards with a new and improved Grafana Loki query variable editor. Templating is a great option if you don’t want to deal with hard-coding certain elements in your queries, like the names of specific servers or applications. Previously, you had to remember and enter specific syntax in order to run queries on label names or values.

Data Quality Explained: Why Quality Is Critical to Using Your Data

Much like wine (😉), having data doesn’t mean you have quality data. Today it's easier than ever to get data on almost anything. But that doesn’t mean that data is inherently good data, let alone information or knowledge that you can use. In many cases, bad data can be worse than no data, and it can easily lead to false conclusions. So, how do you know that your data is reliable and productive? This is what we call data quality.