Most organizations are moving applications and workloads to the cloud. Our APM survey found that 88% of organizations had some form of cloud technology deployed already. At the same time, there are several misconceptions about the cloud. There are many who believe they don’t need monitoring tools for the cloud because their cloud provider will take care of all of their performance needs. This is a myth because cloud provider SLAs are mainly around infrastructure availability.

Picture this: Your on-call engineer gets an alert at 2 AM about a system outage, which requires the entire team to work hours into the night. Even worse, your engineering team has no context of where the issue lies because your systems are too distributed. Solving the problem requires them to have data from resources that live in another timezone and aren’t responsive. All the while, your customers cannot access or interact with your application, which, as you can imagine, is damaging.

Amazon offers two different services, Amazon WorkSpaces and AppStream 2.0, that can be used to deliver apps remotely either streamed via a browser or within a virtual workspace (desktop). Once you understand the differences between the two services the choice is usually clear from the use case. It is in fact common for organizations to use a mixture of both.

You’ve likely heard the term Observability lately. There’s a fundamental change taking place in the Monitoring space, and Observability is behind it. Observability itself is a broad topic, so in this post we’ll talk about what it means to move from Application Performance Monitoring to Application Performance Observability.

Monitoring business-critical applications is just as vital as deploying them since their performance directly impacts your ability to meet business goals. When it comes to the banking industry, ensuring superior application performance of applications is crucial to enabling smooth banking operations. But it’s also complex since banks deploy interconnected applications across on-premise and cloud.

Debugging JavaScript is an inevitable part of web development, and not the nicest one. Debugging jobs always seem to pop up when you’re already buried under piles of work, and a teammate pings you about an issue that was overlooked in testing and has been causing frustrations since your last release. That’s why it helps to be prepared for that eventuality, and equipped with the developer tools to help you debug faster.

Payment gateway outages and performance issues have a disruptive effect on your business. When customers cannot complete a transaction, it leaves them frustrated and anxious. Even if it is not an outright outage, customers are wary of a flaky payment experience. They are often reluctant to retry the transaction for fear of being charged twice. This results in abandoned purchases and lost revenue.

Learn how AppDynamics can help you proactively monitor the availability and performance of your APIs.

OpenTelemetry and Jaeger are both open-source projects under Cloud Native Computing Foundation. In this article, let us understand the key concepts involved in both projects, their features, and their differences. OpenTelemetry is a vendor-agnostic instrumentation library. It provides a set of tools, APIs, and SDKs to create and manage telemetry data(logs, metrics, and traces). Jaeger is an open-source tool focused on distributed tracing of requests in a microservice architecture.

You may not be familiar with thinking about the memory usage of your applications as a software developer. Memory is plentiful and usually relatively fast in today's development world. Likely, the programming language you're using doesn't require you to allocate or free memory on your own. However, this does not mean you are safe from memory leaks. Memory leaks can occur in any application written in any language. Sure, older or "near to the metal" languages like C or C++ have more of them.