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APM

The latest News and Information on Application Performance Monitoring and related technologies.

Datadog Conversations: How Life360 Keeps Families Safe with Observability

Life360 is a family safety app driven by the mission to protect and connect people, pets, and things. Naveen Puvvula, Director of Cloud Operations, and Jesse Gonzalez, Senior Staff Site Reliability Engineer, discuss why observability is critical to achieving reliability and how they continue to deliver real-time location updates for their users even during high-traffic events. Finally, they share their advice for other tech leaders in the industry to choose partners that align closely to solve problems together and technologies that reduce friction and improve developer joy.

Break Free from APM's Shackles: Unlock True Resilience with Catchpoint IPM

Are traditional Application Performance Monitoring (APM) tools holding you back? Discover how Catchpoint's Internet Performance Monitoring (IPM) can transform your approach to digital experience monitoring and unlock true resilience. In this video, we delve into the limitations of APM and how IPM addresses these challenges by providing comprehensive visibility across the entire Internet stack, from backend infrastructure to end-user experience.

DataDog vs Jaeger - key features, differences and alternatives

Both DataDog and Jaeger are tools used to monitor application performance. The difference lies in what they monitor and terms of usage. Jaeger is an open-source tool focused on distributed tracing of requests in a microservice architecture. While DataDog is a SaaS APM vendor covering most monitoring needs of an application. Application performance monitoring is the process of keeping your app's health in check. APM tools enable you to be proactive about meeting the demands of your customers.

Latest Top 13 Distributed Tracing Tools [perfect for microservices]

Modern digital organizations have rapidly adopted microservices-based architecture for their applications. Distributed tracing tools help monitor microservices-based applications. Choosing the right distributed tracing tool is critical. How do you know which is the right one for you? In this post, we will cover the top 13 distributed tracing tools in 2024 that can solve your monitoring and observability needs.

Choosing an OpenTelemetry backend - Things To Keep In Mind

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) incubating project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. And that’s where an OpenTelemetry backend is needed. Cloud computing and containerization made deploying and scaling applications easier.

Configure your Docker Syslog Logging Driver

Logs are useful for troubleshooting and identifying issues in applications, as they provide a record of events and activities. However, managing log data can be challenging due to the large volume of log events generated by modern applications, as well as the need to balance the level of detail in the logs and the impact on the application's performance.

Kubernetes Monitoring - What to Monitor, Tools and Best Practices

Kubernetes has since emerged as “THE” container orchestration platform for deploying and managing containerized workloads as a result of its robust capabilities. However, the complexity of its architecture and its dynamic nature present significant challenges in monitoring deployed workloads and the platform itself. Kubernetes monitoring is crucial for maintaining the health, performance, and reliability of containerized applications.

Centralized Logging with Open Source Tools - OpenTelemetry and SigNoz

Modern-day software systems emit millions of log lines per minute. Cloud computing and containerization have made it easy to have distributed systems. Distributed systems emit logs from multiple sources. While developers have always used logs to debug stand-alone applications, centralized logging solves the challenges of modern-day distributed software systems.