In the late 1960s, there was a rock band called Ten Years After and I liked the name the first I heard about them. I wanted to use "Splunk and the Financial Services Industry: Ten Years After" as the title of this blog entry, but it’s been more than ten years since I wrote the first Splunk Blogs entry on Splunk and the Financial Services Industry. As you can tell, a lot has changed since then and more than a decade is an internet lifetime in technology.

Here at Grafana Labs, we’re always looking for ways to provide our customers with a choice of platforms where they can run Grafana Enterprise Logs (GEL). As part of that mission, we’re pleased to announce that we’ve added Red Hat OpenShift 4.x support to GEL. GEL, as you may know, is a leading enterprise logs solution.

In this tutorial, we will go through a working example of a NestJS application auto-instrumented with OpenTelemetry. In our example we will use a simple application that outputs “Hello World!” when we call it in the browser. We will instrument this application with OpenTelemetry’s Node.js client library to generate trace data and send it to an OpenTelemetry Collector. The Collector will then export the trace data to an external distributed tracing analytics tool of our choice.

Node.js is an established platform for developing server-side applications in JavaScript. One of the most fundamental concerns that arise during the development of Node.js apps is how to carry out proper logging that will be safe, secure and performant. While there are several options for configuring Node.js logging, a few specific engineering best practices still apply, no matter which option you choose.

We’re excited to announce that we’ve recently contributed Active Directory Domain Services (abbreviated Active Directory DS) monitoring support to the OpenTelemetry collector. You can check it out here! You can utilize this receiver in conjunction with any OTel collector: including the contrib collector, the observIQ’s distribution of the collector, as well as Google’s Ops Agent, as a few examples.

Our team has been working hard on building exciting new features like our DataMap, advanced Tracing UI, and more that will give you even greater power to monitor and visualize your data. Get caught up on everything that’s new and improved in the Coralogix platform!

Did you hear the news? Graylog is on a mission to help make your IT environment and data more efficient and secure by making it super easy to uncover the answers stored in your machine data. At Graylog, coming up with solutions to problems faced by IT and Security professionals is what drives us. Our teams are always working on ways to add meaningful functionality that increases productivity so you can focus your resources on the innovation and core competencies that you’re known for.

After creating your Logz.io account, the first step for onboarding is to send you log, metric, and trace data. Logz.io makes this flexible – allowing for multiple ways to get data into your Logz.io account depending on your use case and technology stack. Today, we’re excited to announce another easy and fast way to get AWS metric data into Logz.io: by setting up a CloudWatch metrics stream and a Kinesis Firehose.

Many CXOs believe that Web3 will power the next paradigm shift and transform the world. As a result, they are accelerating their learning curve to spot opportunities and leapfrog to next-gen business models that will catapult their organizations to new heights. But is there really an urgency to explore what Web3 can offer?

We are pleased to announce we have closed our Series D round of funding, led by Tiger Global with participation from existing investors IVP, CRV, Redpoint Ventures, Sequoia, and Greylock Partners. In this round, we raised $150M, bringing our total raised to over $400M. This new fundraising round further validates the value we provide to customers.