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APM

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

Choosing Azure Database Services - What are the options?

Microsoft Azure offers a choice of relational and non-relational database services to support a wide range of application needs and demands. Built-in intelligence helps automate management tasks like high availability, scaling, and query performance tuning to provide users with services that ensure applications are always available and performant. Many services offer essentially limitless database scale and SLAs (Service Level Agreements) usually range between 99.9-99.999% availability.

SigNoz + Tracetest: OpenTelemetry-Native Observability Meets Testing

What is the hidden potential of OpenTelemetry? It goes a lot further than the (awesome) application of tracing and monitoring your software. The OpenTelemetry project is an attempt to standardize how performance is reported and how trace data is passed around your microservice architecture. This context propagation is a superpower for those who adopt OpenTelemetry tracing.

OpenTelemetry Logs - A Complete Introduction & Implementation

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). OpenTelemetry aims to provide a vendor-agnostic observability framework that provides a set of tools, APIs, and SDKs to instrument applications.

8 Steps to Create a Successful Cloud Strategy

In today’s digital world, performance and agility are essential for running a successful business, and in the technology arena, there is no exception. Over the past few years, there has been a significant rise in the use of cloud computing technology as more companies prefer scalability of resources, flexibility in experimenting with new technologies, reducing cost by eliminating the need to invest in on-premises hardware, etc.

Use embedded AI to find performance problems

The root cause of a performance transaction can be complex to troubleshoot, but it does not have to be. By using AppDynamics’s built-in machine learning capabilities, we can quickly identify Health Rule violations triggered by transaction response times deviating from their baseline and then combine those with diagnostic capabilities that get us to the specific cause. We are able to drill down into the relevant snapshots to see which method and specific line of code is to blame.