Operations | Monitoring | ITSM | DevOps | Cloud

Would you believe us if we say that the term “remote management” was once a nightmare for conservative or old-school managers? No matter how much it seems to be hyped today, there was a time when remote management was considered a nightmare for several dated enterprise owners across the globe. After the massive COVID pandemic hit, the concept of remote working seems to have leveled up. Did we mention this is not going to be easy though?

As questions and challenges loom over the tech industry and the larger economy, now is a perfect time for us to take a step back and learn from the past. As reliability engineers, we regularly use Service Level Objectives (SLOs) to understand the performance, reliability, and trends of our systems to help inform and prioritize our decision making.

AWS Marketplace + FireHydrant: your path to easier compliance, consolidated spend, and faster procurement.

StormForge Optimize Live is a machine learning-powered performance and resource optimization solution for Kubernetes workloads. Optimize Live ingests and analyzes production observability data and recommends specific actions to optimize CPU and memory utilization. You can take these actions manually or set them to occur automatically, making it easier to maintain a high level of application performance while minimizing cloud costs.

The current popularity of Redis is well deserved; it’s one of the best caching engines available and it addresses numerous use cases – including distributed locking, geospatial indexing, rate limiting, and more. Redis is so widely used today that many major cloud providers, including The Big 3 — offer it as one of their managed services. In this article, we’ll look at how to monitor Redis performance using Prometheus, the similarly popular open-source monitoring system.

With the dawn of microservices and serverless, event-driven architectures have become the way to go when building a new system in the cloud. This approach has allowed for greater scalability, as the system can easily adapt and respond to changes in traffic or demand without having to overhaul the entire architecture. Additionally the Event-driven approach means your application is mainly concerned with routing event data to the right services.