Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees.
APM can be referred to as:
- Application performance monitoring
- Application performance management
- Performance monitoring
- Application monitoring
- Application performance
Why is APM so important?
Every day we access applications to shop online, stream TV shows, connect to social media, manage finances, and work. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.
The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support.
You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services.
This is why digital teams utilize APM tools, so they can understand and troubleshoot the many variables that can impact performance. Without monitoring tools, teams would struggle to resolve the many potential problems that can arise. Which means, your experience wouldn’t be very good and likely make you a bit frustrated and probably leave your application.
And for the company itself, the impact of applications that are unreliable, unavailable, or offer a poor user experience can cause brand damage, lost revenue, and for internal business applications, reduced employee productivity.
From APM to full-stack monitoring
There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring, and End User monitoring. And this isn’t even the full extent of the types of monitoring tools available out there.
And, it’s not uncommon for a company to be running dozens of these monitoring tools all at once. This is typically the case where legacy applications, and teams who manage these applications, have maintained the status quo with what and how they monitor. But this is where problems arise for organizations sometimes, and why we need to operate with full-stack monitoring.
Full-stack monitoring means you can monitor your entire infrastructure from end-to-end, including everything from applications, performance, and the end-user. This is something Dynatrace offers users to make sure monitoring is made easy.
What sets Dynatrace apart?
The Dynatrace Software Intelligence Platform provides all-in-one advanced observability. AI-assistance enables teams to automate operations, release software faster, and deliver better business outcomes. With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time.
Advanced Cloud Observability
- Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform.
- Trying to manually keep up, configure, script and source data is beyond human capabilities and today everything must be automated and continuous. Dynatrace was built to enable automation; with automatic deployment, configuration, discovery, topology, performance, updates, and more.
- Davis, our AI engine, doesn’t need to learn – it already knows and is always there continuously automating, observing, learning and providing answers and prioritize what matters.
- AI is all about assisting teams and reducing manual or redundant work to empower teams to be more productive in areas that matter.
- With Dynatrace, we utilize our powerful AI engine Davis, Dynatrace to provide precise answers for proactive problem resolution and performance improvements in real-time.
- Davis multiplies the power and effectiveness of your entire team several fold – and it’s automatic. Some customers even say, having Davis is like having a whole team of engineers on their side.
- Dynatrace was built for enterprise wide deployments. With its ease of use, and unlimited number of users, you can eliminate silos and accelerate teamwork. Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams.
User Experience and Business Analytics ery user journey and maximize business KPIs
- Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. That’s why we extended the Dynatrace platform to the edge device and API.
- With intelligence into user sessions, including Real User Monitoring and Session Replay, you can connect experiences to business outcomes like conversions, revenue and KPI’s.
- With answers at your fingertips, data backed decisions, and real-time visibility into business KPIs, Dynatrace enables you to consistently deliver better digital business outcomes across all your channels more efficiently than ever before.
Dynatrace APM – Named a Leader in APM and yet, we’re much more
We believe Dynatrace is radically different to anything else out there, and our differentiating factors haven’t gone unnoticed as we were named a Leader in Gartner’s 2020 Magic Quadrant for APM for a tenth consecutive time, positioned Furthest for Completeness of Vision.
How does Gartner defines Application Performance Monitoring?
Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. According to Gartner, “Application performance monitoring (APM) is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.”
How to evaluate a APM solution?
In their Magic Quadrant for APM, Gartner includes the following main functional dimensions:
- Digital experience monitoring (DEM):
DEM is an availability and performance monitoring discipline that supports the optimization of the operational experience and behavior of a digital agent, human or machine, as it interacts with enterprise applications and services.
- Application discovery, tracing and diagnostics (ADTD):
Application discovery, tracing and diagnosis is a set of processes designed to understand the relationships between application servers, map transactions across these nodes, and enable the deep inspection of methods using bytecode instrumentation (BCI) and/or distributed tracing.
- Artificial intelligence for IT operations (AIOps):
AIOps platforms combine big data and machine learning functionality to support IT operations. AIOps for applications enables the automated detection of performance and event patterns or clusters, the detection of anomalies in time-series event data, and the determination of the root cause of application performance problems. AIOps accomplishes this through machine learning, statistical inference, or other methods.
And, Dynatrace was also recently scored highest in 5 of 6 Critical Capabilities use cases in the 2020 Gartner APM 2020 Critical Capabilities Report.
Gartner 2020 Magic Quadrant for Application Performance Monitoring (APM)
Download the 2020 Gartner Magic Quadrant report for APM to get an overview of the APM landscape with an accompanying view on each of the 15 vendors in the APM market.
This syndicated content is provided by Dynatrace and was originally posted at https://www.dynatrace.com/news/blog/what-is-apm/