SignalFx Announces Unified, AI-Driven Monitoring and Troubleshooting for Modern Applications
September 17, 2019
Share this

SignalFx announced a series of platform updates to SignalFx Microservices APM that provide AI-driven problem detection and alerting on trace latency and error metrics.

The new enhancements enable DevOps and site reliability engineering (SRE) teams to use SignalFx’s Microservices APM to not only troubleshoot, but also monitor microservices through distributed tracing in a single solution. Combined with Splunk’s log analytics, these capabilities further enhance the industry’s first enterprise-grade end-to-end observability platform.

With the continued adoption of cloud-native technologies such as containers and microservices, applications are becoming increasingly complex to monitor. Distributed tracing has become a critical part of modern monitoring and observability strategies, helping DevOps teams understand how requests are being handled end-to-end by an application’s set of microservices. SignalFx Microservices APM is the industry’s only Application Performance Monitoring (APM) solution that metricizes traces and spans, and applies streaming analytics to those metrics. With our NoSample™ tail-based approach that observes and analyzes 100% of all transactions, alerts from SignalFx are more accurate than any other APM solution in the market.

The latest release of SignalFx Microservices APM includes:

- Real-Time, AI-Driven Application Alerts — Leveraging the industry-leading capabilities of SignalFx’s NoSample tail-based sampling, trace and span metricization, and SignalFlow® streaming analytics engine, Microservices APM now supports real-time alerts based on AI-driven problem detection on trace latency and error rate metrics. These self-configuring alerts learn and trigger on behavior changes, and remove the guesswork and back-and-forth associated with manual configuration. This helps DevOps and SRE teams detect sudden spikes and historical anomalies in services and endpoints, significantly reducing mean time to detect (MTTD) and mean time to resolution (MTTR).

- Enhanced Service Maps — Dynamic service maps have been enhanced with automatic detection of inferred services, such as databases, message queues, caches, and other third-party web services. This provides a clearer and more accurate picture of service dependencies by making otherwise untraceable services visible. Combined with existing service performance and alert status details in the service map, users can easily visualize, correlate, and pinpoint potential issues in complex microservices environments.

Database Query Metrics — SignalFx Microservices APM now has the ability with the addition of database query metrics to provide insight into the performance of databases and their impact on end-to-end transactions. This gives DevOps and SRE teams the ability to monitor, alert, and more quickly investigate database-related issues.

- New Auto-Instrumentation Options — Go and Kotlin are now supported with auto-instrumentation, a process that automatically identifies frameworks and libraries, and instruments them to capture trace spans. Along with existing auto-instrumentation support for Java, Python, Ruby, and Node.js, as well as open-standards support for OpenTracing, OpenCensus, Jaeger, and Zipkin, SignalFx is one of the leaders in offering a wide selection of instrumentation options and helping our customers avoid vendor lock-in.

“The value of distributed tracing extends beyond simple troubleshooting and root cause analysis when incidents occur,” said Arijit Mukherji, CTO, SignalFx. “Traditional APM tools are not suited for modern application environments. Since our Microservices APM supports open instrumentation, observes every single transaction, and leverages advanced statistics and algorithms for analytics, we are able to offer the industry’s most unique monitoring and alerting capabilities. No other APM solution can do this.”

Share this

The Latest

November 14, 2019

A brief introduction to Applications Performance Monitoring (APM), breaking it down to a few key points, followed by a few important lessons which I have learned over the years ...

November 13, 2019

Research conducted by ServiceNow shows that Gen Zs, now entering the workforce, recognize the promise of technology to improve work experiences, are eager to learn from other generations, and believe they can help older generations be more open‑minded ...

November 12, 2019

We're in the middle of a technology and connectivity revolution, giving us access to infinite digital tools and technologies. Is this multitude of technology solutions empowering us to do our best work, or getting in our way? ...

November 07, 2019

Microservices have become the go-to architectural standard in modern distributed systems. While there are plenty of tools and techniques to architect, manage, and automate the deployment of such distributed systems, issues during troubleshooting still happen at the individual service level, thereby prolonging the time taken to resolve an outage ...

November 06, 2019

A recent APMdigest blog by Jean Tunis provided an excellent background on Application Performance Monitoring (APM) and what it does. A further topic that I wanted to touch on though is the need for good quality data. If you are to get the most out of your APM solution possible, you will need to feed it with the best quality data ...

November 05, 2019

Humans and manual processes can no longer keep pace with network innovation, evolution, complexity, and change. That's why we're hearing more about self-driving networks, self-healing networks, intent-based networking, and other concepts. These approaches collectively belong to a growing focus area called AIOps, which aims to apply automation, AI and ML to support modern network operations ...

November 04, 2019

IT outages happen to companies across the globe, regardless of location, annual revenue or size. Even the most mammoth companies are at risk of downtime. Increasingly over the past few years, high-profile IT outages — defined as when the services or systems a business provides suddenly become unavailable — have ended up splashed across national news headlines ...

October 31, 2019

APM tools are ideal for an application owner or a line of business owner to track the performance of their key applications. But these tools have broader applicability to different stakeholders in an organization. In this blog, we will review the teams and functional departments that can make use of an APM tool and how they could put it to work ...

October 30, 2019

Enterprises depending exclusively on legacy monitoring tools are falling behind in business agility and operational efficiency, according to a new study, Prevalence of Legacy Tools Paralyzes Enterprises' Ability to Innovate conducted by Forrester Consulting ...

October 29, 2019

Hyperconverged infrastructure is sometimes referred to as a "data center in a box" because, after the initial cabling and minimal networking configuration, it has all of the features and functionality of the traditional 3-2-1 virtualization architecture (except that single point of failure) ...