Observability has become a critical part of the digital economy and software engineering, enabling teams to monitor and troubleshoot their applications in real-time. Properly managing logs, metrics, traces, and events generated from your applications and infrastructure is critical for observability. A telemetry pipeline can help you gather data from different sources, process it, and turn it into meaningful insights.

Modern, high-scale applications can generate hundreds of millions of logs per day. Each log provides point-in-time insights into the state of the services and systems that emitted it. But logs are not created in isolation. Each log event represents a small, sequential step in a larger story, such as a user request, database restart process, or CI/CD pipeline.

What are some common problems that can be detected with the handy router logs on Heroku? We’ll explore them and show you how to address them easily and quickly with monitoring of Heroku from SolarWinds Papertrail. One of the first cloud platforms, Heroku is a popular platform as a service (PaaS) that has been in development since June 2007.

Cloud infrastructure and application monitoring dashboards are critical to gaining visibility into the health and performance of your system. But what are the best metrics to monitor? What are the best types of visualizations to monitor them? How can you ensure your alerts are actionable? We answered these questions on our webinar Build the Ultimate Cloud Monitoring Dashboard.

Communication with our users is very important. You want them to be aware of the new features that your platform exposes, exciting news about the company, but also about the status of the services that you are building for them. This includes information about all the functionalities and the infrastructure and applications behind them – when they work correctly and efficiently and when they don’t.

In the world of software engineering, monitoring and logging are two essential processes that help developers keep track of the performance and behavior of their applications. To facilitate this process, several logging formats have been developed over the years, including the Common Event Format (CEF). In this blog post, we will take a closer look at what the Common Event Format is, how it works, and why it is important.

Data analytics refers to the discovery, management and communication of meaningful insights from historical information to drive business processes and improve decision making. The process involves: So, let's take a look at data analytics today, specifically the 4 types you need and what they'll tell you about your organization.

There is something unique about how Sumo Logic CTO, Christian Beedgen, presents at events. At Illuminate, he expanded upon ideas he shared at SLOconf, turning reliability management into a logical and fundamentally humane solution. I may not be as entertaining as Christian when he presents, but if you want the summary without the jokes or details, this blog is for you.

Operational IT data, such as log data and other application telemetry, can play an important role in understanding your users. Leveraging user data to continuously optimize and improve products is a core tenet of product-led growth (PLG). Let’s learn more about PLG, and how IT telemetry data can be used to power strategic growth.

You'll notice that monitoring and logging don't appear on the list of core Kubernetes features. However, this is not due to the fact that Kubernetes does not offer any sort of logging or monitoring functionality at all. It does, but it’s complicated. Kubernetes’ kubectl tells us all about the status of the different objects in a cluster and creates logs for certain types of files. But ideally speaking, you won't find a native logging solution embedded in Kubernetes.