Operations | Monitoring | ITSM | DevOps | Cloud

Latest posts

How to collect Prometheus metrics and store them anywhere (with Sensu!)

As my co-founder Caleb Hailey likes to say, collecting monitoring and observability data is essentially a solved problem. The only remaining challenges are related to getting that data where you want it to go. When dealing with different formats — say, collecting Prometheus metrics and storing them in Elasticsearch — this can be a non-trivial problem. Put simply, it’s like trying to put a square peg into a round hole.

All in on APM

It’s been just over six months since Splunk disrupted the Application Performance Monitoring (APM) market with the launched SignalFx Microservices APM, combining the technologies of SignalFx and Omnition. We have pushed ourselves harder and continued to invest in creating more value for our customers by making it easier for them to ingest ALL data and providing ever more powerful analytics on top of that data.

Splunk > Clara-fication: Job Inspector

Do you SPL? Well, if you do, you probably either already know about the job inspector, or you’re about to. Either way, you probably don’t know enough. Don’t worry though, that’s all about to change. There are a few different aspects of the job inspector that everyone should be familiar with. These include the execution costs, the search job properties, and the search.log. I’m going to walk us through these areas, and some others, and their importance.

Rancher: Kubernetes Master Class: Service Mesh with Istio in Rancher

The release of Rancher 2.5 introduced some significant changes to the Istio Service Mesh integration. In addition to those changes, the Istio project has also undergone some significant redesign in recent versions. Staying current in this fast moving space can be a challenge. Fear not! In this Master Class, Rancher Field Engineer Jason Skrzypek will summarize the notable changes, discuss the rationale behind some of them, and demonstrate the possibilities that this new implementation unlocks.

Elastic: Kibana Lens: An easy, intuitive way to visualize data

Welcome to Kibana Lens, a simple and intuitive way for everyone to visualize their data inside of Kibana. With a drag-and-drop interface, one-click data exploration features, and the power to provide visualization suggestions, Lens is the fastest way to uncover insights in your Elasticsearch data. Learn how Lens can help both experienced and brand new Kibana users. We'll run through how to streamline existing analysis activities and demo how easy it is to visualize your data.

Elastic: Processing Data with the Elastic Stack

Elasticsearch is a powerful search and analytics engine, but it's only as good as the data you put into it. Learn how you can transform your data using an ingest pipeline before you index it in Elasticsearch. We'll start with an overview of the various data ingest capabilities offered by the Elastic Stack. Then, you'll learn best practices for building scalable and highly available ingestion pipelines.

Elastic Agent and Fleet

Instrumentation and data onboarding are often the most time-consuming tasks in any observability or security initiative. Learn how we are reducing time to insight by simplifying the full instrument-to-action workflow: (1) collect all telemetry data from a host with the Elastic Agent, (2) parse custom data before ingest using an intuitive UI, (3) protect endpoints from security threats with automated response, and (4) centrally manage your entire fleet of agents from a single pane.

Elastic: Infrastructure metrics and observability with the Elastic Stack

Ready to get started on your observability journey? We'll go over the basics of using the ELK Stack for your infrastructure and system metrics analytics. We'll also show how combining your infrastructure metrics with your logs and application traces can benefit you and your business. Join us to see how Elastic Observability can help you get to the bottom of issues faster and reduce your MTTD/R.

StatsD: What Is It and How To Monitor It

StatsD is among the most popular monitoring solutions used to instrument code with the help of custom metrics. It has become very popular over the course of the last few years and emerged as the industry standard for open source inside-the-app monitoring. It has a host of advantageous features that makes it perfect for application performance measurements.