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APM

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

9 Best Application Performance Monitoring Tools on the Market and Why Should You Use One

The Application Performance Monitoring (APM) tools make managing your applications simple and easy, ensuring that your business software performs at its best. It's one thing to keep track of IT infrastructure and networks, but it's frequently the applications that demand the greatest care. It's not just the fact that there could be a lot of them; it's also the fact that they tend to update regularly, which can lead to software conflicts and unexpected hardware issues.

Embedded Analytics for IT

When we hear the term ‘embedded analytics’, most people think of business intelligence. The concept of embedded analytics refers to the integration of analytic content and capabilities within a business process application. The business benefits of embedding analytics into a business process include increased visibility, more effective strategic planning and accelerated time to value.

Tip of the Month: BiQ Release Validation

Updates and releases often occur so frequently that it’s easy to lose track of the impact. With BiQ Release Validation from AppDynamics, you can compare and validate product code releases based on application performance, user experience, and business impact. Watch this video for an introduction to BiQ release validation as well as a snapshot of key business transactions that you can compare.

How to Monitor Full-Stack Django Applications

Modern web applications can be complex. A typical application stack usually involves several components spread across different layers. For example, HTML5 and AngularJS can make up a site’s front end. User inputs and queries from the front end can be passed on to containerized microservices running on a middleware, which in turn could pass the queries to a back-end database. Systems like WAFs and LDAP servers can be used for security and authentication.

AIOps Strategy and Management

In an earlier blog, I provided an introduction to AIOps. AIOps is the application of Artificial Intelligence to IT Operations. Many people misunderstand AIOps as replacing or mimicking human intelligence. This is not what AIOps is about. Rather, AIOps seeks to apply algorithms to solve specific problems, often much faster, much more accurately, and at much higher scale than a human ever could solve the problem.

Autoscaling AppOptics With Apache Deployed in K8s Pods

Introduction Since its introduction in 2014, Kubernetes has become the de-facto standard for deploying and scaling containers for cloud deployments and on-premises environments. Initially, it required a DevOps/SRE team to build, deploy, and maintain the Kubernetes deployment in the cloud. Now, all major cloud vendors provide a managed Kubernetes offering, freeing up teams to focus on managing and scaling the application instead of the infrastructure.

Datadog on Chaos Engineering

As you scale your applications, remaining resilient to underlying network failures, resource constraints introduced by other applications, or spikes in traffic can become exponentially more complex, even with very thorough testing and processes. Chaos engineering is a discipline that encourages experimenting in production and injecting controlled failures into the system to understand how the system will react in such conditions and to improve its reliability.