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APM

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

We've done it again: ManageEngine named a 2023 Gartner Peer Insights Customers' Choice for Application Performance Monitoring and Observability!

At ManageEngine, customers are at the heart of everything we do. That’s why we are excited to be recognized as a 2023 Gartner Peer Insights™ Customers’ Choice for Application Performance Monitoring and Observability. This year marks the fifth time we have been recognized with this distinction.

Decoding PostgreSQL Monitoring | 101 Guide

Monitoring PostgreSQL for performance issues is critical. PostgreSQL is a powerful open-source relational database system that stands out for its robustness, scalability, and strong emphasis on extensibility and standards compliance. In this guide on PostgreSQL monitoring, we will cover key PostgreSQL metrics that should be monitored, best practices for monitoring PostgreSQL and some tools with which you can set up PostgreSQL monitoring.

How to Monitor PostgreSQL metrics with OpenTelemetry

PostgreSQL metrics monitoring is important to ensure that PostgreSQL is performing as expected and to identify and resolve problems quickly. In this tutorial, you will install OpenTelemetry Collector to collect PostgreSQL metrics and then send the collected data to SigNoz for monitoring and visualization. In this tutorial, we cover: If you want to jump straight into implementation, start with this prerequisites section.

Swisscom breaking through internal silos with Cisco AppDynamics

Switzerland's leading telecom provider, Swisscom, managed to break through their internal silos and gain end- to-end application performance visibility. This led to on-track performance in reaching their goal of delivering 100% service quality to their customers. Understand how they did it, and which Cisco AppDynamics products they implemented to eliminate the barriers and obstacles blocking success.

Optimizing usability for evolving applications

In line with enterprise applications transitioning to the cloud, the need for simplified and efficient observability solutions is growing. AppDynamics’ cloud native response is an innovative platform designed to effortlessly onboard customer cloud environments, automate monitoring of ephemeral environments, and streamline MELT (Metrics, Events, Logs, and Traces) data correlation. By leveraging the power of data science—including machine learning and AI—it provides comprehensive solutions to challenges arising from applications, Kubernetes, infrastructure, or other cloud-native aspects in a multi-cloud world.

Datadog on Design Systems

Over the last five years, the Datadog platform has grown. We added Application Performance Monitoring to complement our core infrastructure monitoring product, Log Management, Synthetic and Real User Monitoring, and more. For an enterprise software platform to be successful, the whole has to be greater than the sum of its parts. In Datadog’s case, this means users must be able to connect different types of data, pivot seamlessly from one context to another, and follow the thread of an investigation wherever it might lead.

How to easily add application monitoring in Kubernetes pods

The Elastic APM K8s Attacher lets the Elastic APM agent auto-attach to the application in your pods by adding just one annotation to your deployment The Elastic® APM K8s Attacher allows auto-installation of Elastic APM application agents (e.g., the Elastic APM Java agent) into applications running in your Kubernetes clusters. The mechanism uses a mutating webhook, which is a standard Kubernetes component, but you don’t need to know all the details to use the Attacher.

Docker Log Rotation Configuration Guide | SigNoz

It is essential to configure log rotation for Docker containers. Log rotation is not performed by default, and if it’s not configured, logs on the Docker host can build up and eat up disk space. This guide will teach us how to set up Docker log rotation. Logs are an essential piece of telemetry data. Logs can be used to debug performance issues in applications.

What are Cloudwatch Metrics? How to implement Custom Metrics in Cloudwatch?

CloudWatch metrics play a critical role in monitoring AWS resources and facilitating effective troubleshooting during system failures. It allows for continuous monitoring of AWS resources like EC2 instances, Lambda functions, and RDS databases. Using Cloudwatch metrics, DevOps teams can monitor and manage their AWS infrastructure easily. Amazon CloudWatch is a comprehensive monitoring and observability service provided by Amazon Web Services (AWS).

Transform Your Customer Experience with DevOps Collaboration

Learn how end-to-end monitoring and observability enable enterprises to break down team silos and deliver industry-leading experiences for their customers and achieve business benefits such as: Improved business resilience by identifying and resolving IT risks faster before they result in customer service outages Increased competitive standing with DevOps and shift-left best practices to accelerate software releases.