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Visualize Humio logs alongside your other data sources in Grafana Cloud with the new plugin for Grafana

Being able to get the big picture and immediately pivot between siloed data is one of the key values Grafana Cloud provides. Our composable observability platform integrates Prometheus and Graphite metrics, Loki logs, and Tempo traces with Grafana — and also allows you to draw data in from other sources of your choice concurrently.

Introducing Sensu

Since 2010, it has been Sumo Logic’s mission to democratize machine data. Naturally, we tend to focus on the outcomes: reliable and secure applications and systems that are the engines of successful modern businesses. But to drive these outcomes, and before the spotlight-hogging analytics kick in, algorithms require data. And this is where the magic starts! Sensu has been working on championing a monitoring as code approach to building observability pipelines for a decade now.

Why Are SaaS Observability Tools So Far Behind?

Salesforce was the first of many SaaS-based companies to succeed and see massive growth. Since they first started out in 1999, Software-as-a-Service (SaaS) tools have taken the IT sector and, well the world, by storm. For one, they mitigate bloatware by moving applications from the client’s computer to the cloud. Plus, the sheer ease of use brought by cloud-based, plug-and-play software solutions has transformed all sorts of sectors.

How to alert on high cardinality data with Grafana Loki

Amnon is a Software Engineer at ScyllaDB. Amnon has 15 years of experience in software development of large-scale systems. Previously he worked at Convergin, which was acquired by Oracle. Amnon holds a BA and MSc in Computer Science from the Technion-Machon Technologi Le' Israel and an MBA from Tel Aviv University. Many products that report internal metrics live in the gap between reporting too little and reporting too much.

Using LogDNA to Debug in Development

Developing scalable and reliable applications is a serious business. It requires precision, accuracy, effective teamwork, and convenient tooling. During the software construction phase, developers employ numerous techniques to debug and resolve issues within their programs. One of these techniques is to leverage monitoring and logging libraries to discover how the application behaves in edge cases or under load.

Using LogDNA and your Logs to QA and Stage

An organization’s logging platform is a critical infrastructure component. Its purpose is to provide comprehensive and relevant information about the system, to specific parties, while it's running or when it's being built. For example, developers would require detailed and accurate logs when building and implementing services locally or in remote environments so that they can test new features.

Using LogDNA To Troubleshoot In Production

In 1946, a moth found its way to a relay of the Mark II computer in the Computation Laboratory where Grace Hopper was employed. Since that time, software engineers and operations specialists have been plagued by “bugs.” In the age of DevOps, we can catch many bugs before they escape into a production environment. Still, occasionally they do, and they can spawn all kinds of unexpected problems when they do.

Why Elasticsearch is an indispensable component of the Adyen stack

At Adyen, we use Elasticsearch to power various parts of our payments platform. This includes payment search, monitoring, and log search. Let’s take a look at how we use Elastic for these different use cases and see how we capitalize on the power of Elasticsearch. We recently did a talk about some of our Elasticsearch adventures at an Elastic meetup. You can find a recording here.