Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Cloud monitoring, security and related technologies.

A Bright New Era in Developer Troubleshooting with Lumigo and OpenTelemetry

At Lumigo, building developer-first tools has always been at the forefront of our approach to troubleshooting and debugging. As developers ourselves, we have experienced firsthand the frustration and intricacies of sifting through logs looking for answers. We’ve also felt the pressure of the clock ticking, with production issues waiting to be resolved and the need for timely answers to surfaced application issues.

Rate limiting based on AWS VPC ID

Managing incoming web traffic for your applications is essential to ensuring optimal performance, preventing abuse, and maintaining the security of your cloud infrastructure. To accomplish this, one of the tools HAProxy Enterprise users have at their disposal is rate limiting—the practice of preventing clients from making too many requests and using system resources unfairly.

We can't wait for SBOMs to be demanded by regulation

Old ads can be startling—cigarette ads used to boast their health-giving properties, sugar-laden candy was once advertised as a dietary aid, and soft drinks were advertised as a milk alternative for babies. None of this would fly today, of course, thanks to regulations. Foods must be advertised more responsibly, and they must list their ingredients clearly on the packaging, especially allergens.

Lumigo Releases 1-Click OpenTelemetry for Microservices Troubleshooting

Lumigo is excited to announce its microservice troubleshooting platform now provides developers and DevOps with the power of OpenTelemetry (OTel) with a single click. Lumigo has long been the leading troubleshooting platform for serverless, but now, users can harness its best-in-class debugging and observability platform for all microservices-based environments.

Azure App Service rightsizing to maximize cost efficiency

Azure App Service rightsizing refers to adjusting the computing size allocated to an Azure App Service plan to achieve an optimal balance between cost and performance. It involves analyzing the resource utilization and selecting an appropriate computing power to meet your performance requirements while minimizing costs. Optimizing App service plan sizes is crucial for cost efficiency and performance enhancement.