Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring Solr is very critical because it handles the search and analysis of data in your application. Similifying this monitoring is necessary to gain full visibility into Solr’s availability and ensure it is performing as expectedn. We’ll show you how to do this using the jmxreceiver for the OpenTelemetry collector. You can utilize this receiver in conjunction with any OTel collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector.

When it comes to a website’s performance, we all know the universal rule: speed matters… a lot. Beyond a good user experience, it’s a key factor in what Google is specifically looking—and testing—for. If you need a refresher, here it is, straight from Google: And what exactly does Google consider fast?

In just three quarters since Torq was officially launched, our visionary team has delivered a 385% increase in customers, resulting in 360% quarter-over-quarter growth. We’ve also boosted our headcount by 150% and now have more than 100 technology integration partners, including Armis, Orca, SentinelOne, and Wiz. In addition, we recently opened new offices in the UK, Spain, and Taiwan

Zero Trust security is gaining attention and momentum as a security approach or mindset that can improve the security posture of enterprises as they continue to battle hackers. Because of this widespread attention on Zero Trust, every software security vendor seems to be jumping on the Zero Trust bandwagon. However, Zero Trust is not a product or service. No single product or vendor can sell you Zero Trust security.

In this post, we’ll look at how you can use OpenTelemetry to monitor your unit tests and send that data to Honeycomb to visualize. It’s important to note that you don’t need to adopt Honeycomb, or even OpenTelemetry, in your production application to get the benefit of tracing. This example uses OpenTelemetry purely in the test project and provides great insights into our customer’s code. We’re going to use xUnit as the runner and framework for our tests.

When we say “logs” we really mean any kind of time-series data: events, social media, you name it. See Jordan Sissel’s definition of time + data. And when we talk about autoscaling, what we really want is a hands-off approach at handling Elasticsearch/OpenSearch clusters. In this post, we’ll show you how to use a Kubernetes Operator to autoscale Elasticsearch clusters, going through the following with just a few commands.

Ciara lists 10 ways to make your software pipelines more transparent and observable to gain insights, identify unusual behavior and possibly prevent a software supply chain attack.

Grafana Tempo 1.5 has been released with a number of new features. In particular, we are excited that this is the first release with experimental support for the new Parquet-based columnar store. Read on to get a high-level overview of all the new changes in Grafana Tempo! If you’re a glutton for punishment, you can also dig into the hairy details of the changelog.

If you host dozens of web services that reside at various subdomains, TCP ports, and paths, then migrating them to live under a single address could simplify how clients access them and make your job of managing access easier. It would mean moving from a hodgepodge of address schemes, such as: to a single address wherein services are designated by the URL’s path: The good news is that you don’t need to rearrange your entire network to make this happen.

Today we are happy to officially announce that InfluxData has donated a generic object store implementation to the Apache Arrow project. Using this crate, the same code can easily interact with AWS S3, Azure Blob Storage, Google Cloud Storage, local files, memory, and more by a simple runtime configuration change. You can find the latest release on crates.io. We expect this will accelerate the pace of innovation within the Rust ecosystem.