Amazon Elastic Load Balancing ( ELB ) allows you to create load balancers for your application without having to actually manage the servers that do the load balancing. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor Elastic Load Balancing and what is important to watch.

Sentry recently experienced two minor outages related to database lock-contention: a situation where a process stops executing as it waits on another to release a shared resource they each depend on. It’s kind of like [insert comical metaphor intended to inspire a light-hearted chuckle here].

The StatsD stack is one of the most popular monitoring solutions to instrument your code using custom metrics. In this post we will describe the StatsD metrics architecture, metrics types and formats, proving code examples for the Golang, NodeJS/Javascript and Python programming languages.

Have you wanted to throw away your expensive internet bill and use your neighbor's insecure wifi? Was the only thing holding you back the Honeybadger single-factor auth flow? Well, have I got news for you.

As mobile and IoT deployments play an increasing role in enterprise networks, organizations are looking to more appropriate architecture—such as edge computing—to relieve their security and device management burdens. Edge computing is still in its relative infancy, and the platforms and services needed to orchestrate edge deployments are evolving themselves. In this article, we’ll be looking at some of the issues and available options.

Filters, the mechanism for allowing and denying events to be handled, have been given a refresh in Sensu Go. These new and improved JavaScript filters give you a way to express business logic through filtering, giving you more awareness of your environment, reducing alert fatigue, and improving performance. In this post, I’ll share what’s new with filters, using examples in Sensu Go. (If you haven’t already, you can download it here.)

As Microsoft Azure continues to be developed and more automation options become available; Azure Automation, Logic Apps, ARM (Azure Resource Manager) and Azure Function Apps to name a few, the question is quickly turning from ‘how do I automate with Azure?’ to ‘what automation type do I use in Azure?’. Across our next few blogs we will seek to delve into the options available and look to define how they stack up against Azure Automation.

Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. However, the defaults might not fit all scenarios: for instance, agents running as a sidecar might have more memory constraints than agents running as a daemon in bare metal.

After learning more about how our users use test credits to diagnose and troubleshoot network issues, we realized that we needed to make credits more affordable so we significantly increased the number of credits included with each credit package. See the new options below. We hope this change allows you to continue running cost effective network tests.

Our Real User Monitoring (RUM) product gathers performance data from actual user experiences from all around the globe for enabled pages. For 2018 that meant we collected data from thousands of worldwide users. In this blog, we take a look at the users’ browser choices, the page performance as experienced by the users, and their choices in device types.