Operations | Monitoring | ITSM | DevOps | Cloud

Here at LogicMonitor, we’re on a mission to build the most comprehensive, extensible, and intelligent monitoring and observability platform in the world to help businesses run seamlessly. We’ve spent more than a decade building a best-in-class monitoring platform. Over the past two years, however, we have further evolved our platform to deliver invaluable end-to-end observability across applications, networks, and infrastructure for companies of all sizes and in a variety of industries.

A couple of weeks back, we broke sign-ups. And in the most meta fashion, we learned about this because someone here had the foresight to set up an alert in Sentry to notify us if sign-ups dropped to zero. Getting alerted kicked off our incident response process. A team was formed to tackle “What broke?”, “How do we fix this?”, “How long has this been happening?”, “Are any other services impacted?”, and much more.

You can add an action to log messages to Papertrail, a cloud-based logging service. You can send logs from Kiwi Syslog Server, or other servers or applications that can connect to the Internet. Then monitor, search, react to, and archive your messages on Papertrail.

On June 8, 2021, many of us were left staring at blank screens or “Service Unavailable” errors when trying to access the internet. The panic was shared by millions of people around the world. Everything from Spotify, Amazon, and Reddit to Vimeo, Twitch, and Pinterest was inaccessible to users. This major outage that impacted any service using Fastly. Here is a quick rundown of what happened and why.

The new Dashbird app is bringing your data together for a faster, more secure, and smoother observability experience with team collaboration in mind. The enhanced version of the Dashbird app is making your account more secure and your app navigation and data exploration faster, more intuitive, and all-around enjoyable. Additionally, you can now enable multi-factor authentication (MFA) for your Dashbird account. Check it out now!

Today’s business is powered by data. Success in the digital world depends on how quickly data can be collected, analyzed and acted upon. The faster the speed of data-driven insights, the more agile and responsive a business can become. Apache Kafka has emerged as a popular open-source stream-processing solution for collecting, storing, processing and analyzing data at scale.

In a previous blog post, "Monitoring Kafka Performance with Splunk," we discussed key performance metrics to monitor different components in Kafka. This blog is focused on how to collect and monitor Kafka performance metrics with Splunk Infrastructure Monitoring using OpenTelemetry, a vendor-neutral and open framework to export telemetry data. In this step-by-step getting-started blog, we will.

Every IT team has its own strategies, goals and objectives to help move themselves and their company forward as a whole. As part of this, management relies on the metrics and data reports from their networking department to help signal if the effort is making progress towards those goals and objectives. The data for which lives within the tools and systems used by techs every day.

Over the past decade, the way we build and deploy applications has changed dramatically. The explosion of public cloud providers enables us to deploy software without engaging in a drawn-out process to procure and set up infrastructure. Agile, DevOps, Continuous Integration, Continuous Deployment, and other changes to how we work have dramatically accelerated the speed with which we can get new applications and updates in front of our users.