September 28, 2023 By Trent Shupe 3 min read

Modern application environments need real-time automated observability to have visibility and insights into what is going on. Because of the highly dynamic nature of microservices and the numerous interdependencies among application components, having an automated approach to observability is essential. That’s why traditional solutions like New Relic struggle to keep up with monitoring in cloud-native environments. 

Automation in observability is a requirement

When an application is not performing properly, customers are unhappy and your business can suffer. If your observability platform relies on manual instrumentation or configuration, you will undoubtedly suffer the consequences of slower resolution of incidents, visibility gaps and a lack of understanding of your application environments.  That’s why automation is an essential component of any observability solution.

Installation and setup are crucial components of any modern, automated observability platform. If you are a New Relic user, you know that it requires manual instrumentation and configuration. In fact, New Relic requires you to deploy a custom “application” to facilitate the full use of their analytics tool. New Relic users must change the configuration files and update the code, depending on the technology being monitored.  New Relic also uses different agents for different technologies and requires multiple agents per host. All of this requires manual effort and takes considerable time and resources to install, set up and continuously maintain New Relic monitoring. 

When you have to manually configure instrumentation, chances are you’ll leave visibility gaps because you can’t possibly know all the interdependencies between application services and infrastructure components. Further, manually configuring any of those connections and relationships requires time and resources. To handle modern applications and higher velocity development processes, you need a solution that maximizes visibility with the least amount of effort.  

Automate installation and setup

Contrast that with IBM Instana’s automated, single-agent architecture that makes installation and setup a breeze. There’s no guessing which agent(s) need to be installed on which hosts. There’s no need to manually identify and configure interdependencies. Instana does all of that for you—automatically. It saves you time and effort and helps accelerate the CI/CD pipeline.

Instana goes even further to automate everything

IBM Instana automates every aspect of the performance monitoring lifecycle. It automates installation and configuration. It automates application discovery. It automates dashboards. It automates profiling. It automates alerts, troubleshooting and change detection.  

Does your current observability solution automate all of those things? If not, you need to consider IBM Instana. 

IBM Instana not only captures every performance metric in real-time, it automates tracing every single user request and profiles every process. It combines the data from metrics, traces, events and profiles, making it available (in context) to the people who need it. So when a problem occurs, Instana automatically identifies the slowest service or component of the causal event. And with one-second metric granularity, Instana can detect issues that others, including New Relic, might miss. 

For troubleshooting in complex environments, automated root-cause analysis is a requirement. Instana streamlines the troubleshooting process by employing machine learning algorithms, anomaly detection techniques and predictive analytics to automatically identify potential trouble patterns that would likely be missed by human operators. By automating the analysis work, Instana can reduce the time required to identify the root cause of an incident and improve the accuracy of detection, leading to faster resolution. 

IBM Instana even automates remediation actions with the Instana Action Catalog™, allowing you to build custom actions or reuse existing automation inventories like Ansible or PagerDuty. These actions can be linked with Instana events and will then be visible to each event instance as a potential action to run. The Action Catalog lets you run actions manually or automatically and can leverage artificial intelligence (AI) to get recommended actions to run based on event context. 

Instana’s sensors automatically collect changes, metrics and events. Instana delivers high-fidelity data in monitoring, with unmatched granularity (one-second) and high cardinality—capturing an end-to-end trace of each and every request. When it comes to proactive, automated health monitoring, each sensor has an out-of-the-box curated knowledge base of health signatures that are evaluated continuously against the incoming metrics and are used to raise issues or incidents depending on user impact. A component’s health is determined by applying machine learning and preset health rules.

Instana’s automatic, full-stack visibility spans across the entire monitoring lifecycle. From the single, self-monitoring and auto-updating agent to the automatic and continuous discovery, deployment, configuration and dependency mapping, Instana fills the gaps that many APM tools, like New Relic, don’t. With zero-configuration dashboards, alerting, troubleshooting and remediation, Instana relieves teams from manual and time-consuming processes.

Learn more about the differences between Instana and New Relic

More from Automation

IBM Tech Now: December 11, 2023

< 1 min read - ​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 90 On this episode, we're covering the following topics: IBM Quantum Heron IBM Quantum System Two The GA of watsonx.governance Stay plugged in You can check out the IBM Blog Announcements for a full…

API-led connectivity: Improve API reuse and organizational agility

3 min read - Today’s customers and employees expect a real-time, personalized and connected user experience on any platform. As enterprise applications grow and evolve to address these needs, integration between applications has become increasingly important. Building point-to-point integrations manually is time consuming, inefficient and costly; andorganizations need a better way to consume and share data, as well as a more flexible and agile way to add new features and solutions. This is where application programming interfaces (APIs) can help. API-led connectivity, also known as…

App-centric connectivity: A new paradigm for a multicloud world

3 min read - Modern enterprises are powered by distributed software applications that need an always-on, secured, responsive and global, optimized access. A secured, hybrid cloud strategy is very important to deliver this application experience for internal and external users. Our vision for hybrid cloud is clear: to help clients accelerate positive business outcomes by building, deploying and managing applications and services anytime, anywhere. Traditional CloudOps and DevOps models that involve manual workflows may not deliver the required application experience. IBM strongly believes it's…

Retailers can tap into generative AI to enhance support for customers and employees

4 min read - As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. Generative AI excels at handling diverse data sources such as emails,…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters