APM explained

Application Performance Management (or Monitoring) is the practice of watching applications for anomalies, increased latency and data exchanges that impact the user’s experience. This has normally been tracked in Network Operations Centers (NOCs). There are numerous tools on the market created to help organizations identify problems and send alerts to the people best suited to remediate the issues. Among the drawbacks of this approach is the number of “false positive” results returned.

Older APM systems have not been architected for today’s development methods of microservices, containers and cloud-native applications. More modern implementations consist of instrumenting applications with software that detects errors, targets the root cause, and suggests fixes — or in some cases automatically does remediation — to prevent or reduce downtime.

Harness launches ML-powered health checks and rollbacks

Continuous delivery provider Harness launched the 24×7 Service Guard for its continuous delivery-as-a-service platform today, a machine learning-powered tool for health checking of APM, monitoring and logging tools. According to the company, the tool provides a “safety net” for application services by automating code rollbacks and providing “total operational visibility” into how services run. ”For … continue reading

Instana announces new tracing capabilities

Instana is giving developers a new way to capture and trace user requests across languages and microservices. The APM company announced AutoTrace, designed to analyze traces from any source including open-source technologies, Jaeger, and Zipkin. In software, tracing is a form of logging and recording information about tasks or executions. “As DevOps teams are adopting … continue reading

A guide to APM tools

Instana: As the leading provider of Automatic Application Monitoring solutions for microservices, Instana leverages automation and artificial intelligence to deliver the visibility and actionable information DevOps teams need to manage dynamic applications. Instana enables application delivery teams to accelerate their CI/CD cycle and deliver high performance business services with confidence. LightStep’s mission is to deliver … continue reading

How these companies can help you monitor your applications

Pete Abrams, chief operating officer of Instana As companies continue to adopt a DevOps culture and embrace Agile methodologies, it has become painfully obvious that traditional monitoring can no longer keep pace with the complexity and scale of dynamic application environments run by modern enterprises. Software-defined businesses require solutions to protect them from outages and … continue reading

APM needs to change to keep up with continuous development practices

In an industry where every company is competing to be the best, if your application is giving users problems, they might not hesitate to ditch you and go to your competitors who do have a well-performing app. Companies that cannot provide their customers and users with satisfying experiences will lose out on business. This is … continue reading

Datadog introduces enhanced monitoring for serverless apps in AWS

Datadog is introducing new end-to-end monitoring capabilities for AWS Lambda with the release of a new integration with AWS X-Ray, a distributed tracing solution that helps developers analyze and debug apps in production. According to the company, while serverless functions have many benefits, they introduce complexity in application performance monitoring. Because AWS Lambda runs on … continue reading

New Relic introduces APM support for AWS Lambda

New Relic has announced a number of new features to help organizations adopt modern architectures, including new APM support for AWS Lambda. Application monitoring for AWS Lambda will provide improved visibility into function invocations, event sources, and connected services. This will enable DevOps teams to more quickly build and deploy applications using AWS functions-as-a-service, New … continue reading

SD Times news digest: SignalFx Microservices APM, Dart 2.1, and Bugcrowd’s pen testing solution

Cloud monitoring company SignalFx has revealed SignalFx Microservices APM, which is a new application performance monitoring solution designed for DevOps teams. The solution is built on top of the company’s streaming analytics platform, giving it access to power data analytics. “The world happens in real-time and if something goes wrong, finding problems minutes later just … continue reading

Elastic Stack 6.5 features new visualization and collaboration tools

Open-source search and analytics company Elastic released version 6.5 of its Elastic Stack suite of open-source utilities today, introducing infrastructure monitoring, distributed tracing support and Java and Go agents in the Elastic APM tool. While this release may be labeled as a ‘minor release’ the company explained there are foundational stack-level features being applied for … continue reading

Six pillars of monitoring automation

Changes in software development that have led to accelerated delivery cadences are stressing other parts of the application life cycle. This is especially true in organizations adopting microservices architecture, where teams are working autonomously to deliver their software, which by definition relies on communication with other services to form a more complete application. And one … continue reading

Riverbed announces new application and network performance management capabilities for the cloud

Application performance management (APM) is evolving beyond monitoring just the health and performance of an application and expanding to include the network. Network performance management (NPM) is meant to manage and monitor the performance of a computer network. In the latest release of Riverbed’s SteelCentral, it is targeting both APM and NPM with new capabilities. … continue reading

APM for today’s new architectures

The role of APM has traditionally been to flag issues in code that affect performance. To resolve those issues, it has been necessary to understand all the spaghetti code of a monolithic application – written by multiple developers who often do not have an overarching view of the entire application – and then deconstruct that … continue reading

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