Tag: Observability

New Relic partnered with AWS to achieve net-zero emissions by 2030. Migrating to AWS cloud and adopting Graviton-powered services led to a 37% decrease in carbon emissions and 15-20% performance boost. By 2024, 64% of workloads ran on Graviton instances, showcasing how cloud technology drives sustainability and performance.

As companies adopt a cloud-first strategy, ITOps and DevOps require a single view of application services and infrastructure so they can be equipped with the right observability solution. Observability lets you determine what’s important by watching how the system performs over time, and ask new questions using metrics, logs, or traces. Tech Mahindra’s smart monitoring and resolution tool is called SMART and is built on top of AWS observability and telemetry tools.

IBM Consulting Platform Services on AWS enables intelligent application management in the AWS environment. It empowers IT leaders, developers, and site reliability engineers with artificial intelligence (AI)-powered management of complex hybrid and cloud-native enterprise applications. Learn how IBM Consulting Platform Services on AWS is built using AWS-native services, helping enterprise customers embrace the new cloud operating model by streamlining Day 2 operations.

Understanding the performance of your Amazon EKS clusters and applications is critical, but without the proper tools identifying problems can be difficult. You need the ability to detect, analyze, and resolve them as fast as possible. New Relic’s EKS Blueprints add-on for the Amazon EKS Blueprints framework is built on the AWS Cloud Development Kit (CDK) and simplifies deploying Kubernetes observability components from New Relic to your EKS clusters, using programming concepts you’re already familiar with.

AWS Lambda allows you to run your code without provisioning or managing servers. Observability requires a different and more integrated set of telemetry that gives a comprehensive picture of your functions. Learn how this AWS service is used in practice and how Sumo Logic helps demystify Lambda observability by streamlining telemetry ingestion, unifying data, and correlating insights across disparate services.

Companies like Personal AI look for a cloud provider and tools to help them build resilient applications that can scale seamlessly. With a combination of AWS and Epsagon, Personal AI found the right solution to address their technical and business needs. Personal AI is a startup focused on safekeeping thoughts and memories that are worth recalling. Amazon EKS is Personal AI’s platform of choice so they can leverage the power of Kubernetes to set up infrastructure per user base and have namespace separation to isolate the data.

Sumo Logic ingests data across your entire application stack to provide observability and, therefore, reliability of mission-critical apps. It eases the burden placed on engineers, simplifying data collection, unifying visibility, and leveraging machine learning to speed troubleshooting. Sumo Logic’s Observability solution is designed specifically for AWS and seamlessly detects anomalies and events of interest correlated with application incidents.