Sumo Logicは2022年SAP Forrester Wave Reportで"Strong Performer "として評価されました
Employee spotlight: Legal protection for technology assets
Five women who changed technology
How to tackle Microsoft 365 account compromise and credential theft
Tips and best practices for Docker container management
Victory over the universe: managing chaos, achieving reliability
How SMART are your security program KPIs?
See how reliability management enhancements expand your SLO value
Find threats: Cloud credential theft on Linux endpoints
Cloud messaging and collaboration
Sumo Logic India cares and gives back – Looking at a fulfilled 2022
The role of APM and distributed tracing in observability
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.
Test observability with Sumo Logic
Kubernetes vs Mesos vs Swarm
Prometheus vs Grafana (which is better for monitoring)
Observability has become one of the most important areas of your application and infrastructure landscape, and the market has an abundance of tools available that seem to do what you need. In reality, however, most products – especially leading open-source based products – were created to solve a single problem extremely well, and have added additional supporting functionality to become a more robust solution; but the non-core functionality is rarely best of breed. Examples of these are Prometheus and Grafana.