Operations | Monitoring | ITSM | DevOps | Cloud

Microservices and serverless are both important topics in the world of cloud-native computing. Yet, although serverless functions and microservices architectures often go hand-in-hand, they’re distinct technologies that fill different roles in modern software environments. Here’s an overview of what microservices and serverless are, how they relate to each other, how they are different, and why you may or may not wish to deploy a serverless microservice.

Cloud-native and serverless come hand in hand. One of the initial motivations to move business workflows to the cloud was related to cutting costs related to provisioning infrastructure and elasticity that on-demand allocation of resources is offering.

Over a year ago we decided to invest heavily in Application Observability, understanding the modern observability platform must unite logs, metrics, and traces in one analytics layer to better serve reliability use cases. We have also advocated a modern trend to acquire tracing data via open source industry standards like OpenTelemetry without vendor lock-in.

Monitoring Redis, the open source in-memory data platform, is complicated enough when you are hosting your Redis instance on just a single server. It gets even more complex when you build a Redis cluster that consists of multiple nodes and distribute your data across them. But as long as you know which metrics to prioritize and how to collect them, Redis monitoring is feasible enough. This article offers an overview of how to monitor the state of Redis database clusters.

At Sumo Logic, our belief is that security operations is no longer a human scale problem. We need tools and technologies to aid our defenders and responders to be able to process, investigate and respond at machine speed. Our vision for modernizing security operations to deal with threats at machine scale has always encompassed more than just SIEM.