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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How to Understand Log Levels

More than once, I’ve heard experienced software developers say that there are only two reasons to log: either you log Information or you log an Error. The implication here is that either you want to record something that happened or you want to be able to react to something that went wrong. In this article, we’ll take a closer look at logging and explore the fact that log levels are more than just black or red rows in your main logging system.

Effective Technical Writing Is Essential for Your Organization's Success

"No one likes documentation", chirped the little blue birds. The bird quotes in the image above are all taken from real tweets and are listed below for accessibility: I can't argue with "liking to write documentation" being a rare skill, since so many people are vocal about disliking it. That tweet might prove to be true, in which case, technical writers should simply be more appreciated for the rare gems that they are. In this blog post, however, I’m going to explain.

7 Reasons Why You Should Consider a Data Lake

With the volume, velocity, and variety of today’s data, we have all started to acknowledge that there is no one-size-fits-all database for all data needs. Instead, many companies shifted towards choosing the right data store for a specific use case or project. The distribution of data across different data stores brought the challenge of consolidating data for analytics.

Microservices vs. Serverless Architecture

Microservices and serverless are both important topics in the world of cloud-native computing. Yet, although serverless functions and microservices architectures often go hand-in-hand, they’re distinct technologies that fill different roles in modern software environments. Here’s an overview of what microservices and serverless are, how they relate to each other, how they are different, and why you may or may not wish to deploy a serverless microservice.

Top Java Software Errors: 50 Common Java Errors and How to Avoid Them

Imagine, you are developing Java software and suddenly you encounter an error? Where could you have possibly gone wrong? There are many types of errors that you will encounter while developing Java software, but most are avoidable. Some errors are minor lapses when writing codes but that is very much mendable. If you have an error monitoring tool such as Stackify Retrace, you can write codes with ease.

Globally used DNS provider Network Solutions suffers an outage

On Wednesday 17th March, globally used DNS provider Network Solutions experienced the dreaded downtime we all hope to avoid. Starting at 4am Eastern time and continuing through to Thursday 18th with still no resolution, it’s affected thousands of people across the world. Network Solutions are the 4th biggest domain registrar in the world, with nearly 7 million users worldwide.

How to Configure PA Server Monitor to Monitor Your Event Logs

Did you know that you could configure PA Server Monitor’s Event Log Monitor feature to monitor one or more of your event logs? The event logs can include standard application, security, and system logs, as well as any custom event logs you want to monitor. With our server monitoring software, you have complete control and flexibility over the types of events you want to monitor.

Monitor .NET runtime metrics with Datadog

If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.

Announcing the All-new Kamon APM Service Map

Kamon APM wakes up today with a new home page for all your observability data: the all-new Kamon APM Service Map! The Service Map shows a real-time representation of all your microservices and the dependencies between them, combined with health status and easy access to the most important bits of data from your entire infrastructure.

The Easiest Way to Monitor Ruby: Automatic Instrumentation

Setting up a proper monitoring overview over your application’s performance is a complex task. Normally, you’d first need to figure out what you need to monitor, then instrument your code, and finally make sense of all the data that has been emitted. However, with a few things set in place, and an APM that natively supports Ruby, it’s easier than ever to take this step. In this post, we’ll show you how you can do it too.