GigaOm’s comprehensive 2021 Radar Report for SOAR reveals the leading SOAR vendors in different categories. The report is based on key criteria and relevant evaluation metrics that identify the vendors that excel based on their products, technical feature set, innovation efforts, and forward-thinking capabilities.
The growth of site reliability engineering (SRE) has demonstrated the need for SRE implementations is here to stay for the foreseeable future. LinkedIn voted SRE jobs as the second most promising positions in the US in 2019, and now as we head into 2022, you can be sure to see the evolution of SRE continue to grow and expand.
Sumo Logic didn’t adapt to cloud computing, we started with it. Relying on siloed, complex, and expensive legacy solutions, such as Splunk, to deliver engaging and secure customer experiences just doesn’t work. Find out why enterprises are migrating to Sumo Logic’s unified cloud-native solution to modernize their approach to security and observability.
Consumers and users of applications expect near 100% availability and reliability to work, transact, collaborate, etc. There’s a lot of talk about monitoring the performance of the application itself, but what about the underlying systems and components supporting the app, and in particular the infrastructure it sits on?
TMHCC chose the Sumo Logic Continuous Intelligence Platform™ as it satisfied all their requirements and met the observability challenges of their cloud migration. They needed Sumo Logic to collect and manage all their telemetry data as they moved from VMs to AWS. Sumo’s ability to support effortless analysis of log data at cloud-scale and provide actionable insights via out-of-thebox and custom data visualization is instrumental to the success of TMHCC’s digital transformation.
Technology environments are rapidly evolving as organizations look to remain competitive, accelerate innovation and make themselves more agile. But in the process, many of the observers, i.e., stakeholders who track infrastructure and application metrics, are falling behind, unable to monitor and manage modern, cloud-native apps and multi-cloud environments due to the complexity that comes with them.
Application performance management (APM) and distributed tracing are practices that many teams have been using for years to help detect and mitigate performance issues within applications—while the first one was born in the era of big single-host monoliths, the latter is especially useful for distributed applications that use a microservices architecture, in which tracing is critical for pinpointing the source of performance issues.
When you’re planning an application performance monitoring (APM) strategy, collecting metrics from storage services like Amazon S3 may not seem like a priority. After all, part of the point of object storage is that applications can read and write from storage buckets seamlessly, with minimal configuration and overhead.