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Debugging

Pinpoint Application Failures with Distributed Tracing

When building modern software architectures there can be many moving parts that while adding to the flexibility of software, can also make them more complex than ever before. With software now being built in smaller, more discrete components, issues can occur at many different layers across the stack, making them more difficult to track down.

Five Major Software Development Challenges In Martech

In order to optimize results, marketing professionals inside high-performing organizations are embracing new technology, tools and data more than ever before. The technological innovations in the martech domain are booming globally and helping digital marketers achieve their digital campaign and lead-generation goals.

Three Ways to Debug Code in Elixir

Elixir provides a very powerful suite of tools that devs can use to observe the behavior of their code and debug errors. There are several different strategies you can use to debug code in Elixir. While it is hard to produce a comprehensive list of all possible debugging methods, we will cover some of the most common methods in today’s post.

Introducing Dynamic Observability: A no-code integration between Elastic and Rookout

In recent years, Observability has become a de-facto standard when discussing development and maintenance of cloud-native applications. The need to develop an observable system and ensure that as it runs in production, engineers will be able to detect performance issues, downtimes, and service disruptions, has evolved into a rich ecosystem of tools and practices.

Ways to debug App slowness

One of the most important variables in determining the essential success of your company's IT infrastructure is the efficiency of your apps. Having a slow-running application, on the other hand, is a burden on the company's overall performance. Developers must rectify a slow application and determine the root cause of the problem promptly. The top five reasons for SaaS user churn are performance-related issues, which is a major revenue loss that can be avoided.

Adding a Real-Time Layer to Datadog Observability

We all know Datadog. It’s a powerful and established tool that developers, DevOps, and SREs use for anything ranging from monitoring their application’s performance and searching their logs to having an end-to-end understanding of the environment. The nature of cloud-native applications makes the three pillars of observability – (Metrics, Logs, Traces) – needed more than ever to get visibility into your application.