Operations | Monitoring | ITSM | DevOps | Cloud

Imagine this: You push a major update to your website, confident that everything looks great. Hours later, traffic plummets. Your users complain about slow load times, but when you check WebPageTest, everything seems fine. What’s missing? Real-time insights and proactive monitoring.

It started like any other alert. An issue was detected by Lumigo. Service: prod_copilot_repo-parser_cont Error Type: FailedToProcessGithubRepository A notification popped up in Slack. Someone’s repository wasn’t processing correctly. Not a great way to start the day.

Running an online store based on Shopify can be a stressful experience. Meeting sales quotas or metrics, ensuring the store’s accessibility, and accessing data on user statistics are all concerns that any Shopify store owner will encounter. Though Shopify provides an excellent solution for sellers, additional monitoring services to ensure that the store is always available can be very helpful.

Sentry uses Issue Grouping to aggregate identical errors and prevent duplicate issues from being created, and duplicate alerts being sent. One of the chief complaints we’ve heard from our users is that in some cases the existing algorithm did not sufficiently group similar errors together, and Sentry would create separate issues and alerts, causing unnecessary disruption–or at least annoyance–to developers.

Amazon CloudWatch is a monitoring and observability service that provides real-time insights into AWS resources and applications. While CloudWatch provides many default metrics, sometimes you need custom metrics to monitor specific aspects of your infrastructure or applications. This guide covers everything you need to know about CloudWatch custom metrics, from basics to advanced use cases.

Understanding how your applications perform is crucial. OpenTelemetry has emerged as a powerful observability framework, offering a standardized approach to collecting telemetry data such as metrics, logs, and traces. For Java developers, the OpenTelemetry Java SDK provides the tools necessary to instrument applications effectively. This guide is all about the OpenTelemetry Java SDK, exploring its components, configuration, and advanced features to help you harness its full potential.

This post was authored by Mitra Goswami, Ralph Bird, Everaldo Aguiar, and Scott Sieper. Over the past two years, generative AI (GenAI) has come a long way, from the early excitement of ChatGPT to early explorations and more and more companies deploying GenAI-powered features into production.

We're excited to announce that AppSignal now offers improved monitoring for long-running streaming Rack responses. Our improved Rack response monitoring means you can gain deeper visibility into the health of your Ruby application's long-running responses, allowing you to catch errors that may arise minutes or even hours after a request's body is served. This new layer of observability results from a valuable contribution from Julik Tarkhanov, Director of Engineering at Cheddar Payments.

What happens if we put OpenTelemetry, Prometheus 2.x, Prometheus 3.x, and vmagent together for comparison in scraping and pushing data to remote storage?