Operations | Monitoring | ITSM | DevOps | Cloud

In this blog, we'll show you how Alerting for Graphite works. What do you need to look at when considering what you alert on, and where do those alerts go? An early warning system is only as good as its alarms.

Welcome back to our monthly product updates - SigNal! Last month, the SigNoz team shipped many advanced features that will help our users take observability to the next level. With our newly shipped alerts based on ClickHouse queries, users will have the flexibility to set alerts on all three telemetry signals - logs, metrics, and traces. We made two important releases, presented a talk at one of the top DevOps conferences, and made plans for upcoming releases.

Amazon Web Services (AWS) products can feel countless, and at LogicMonitor, we are working tirelessly to bring monitoring support to as many of them as possible. With so many products and tools already on your plate, we want to make sure that monitoring is not a hassle, but rather a trusted companion. AWS provides tools that help with application management, machine learning, end-user computing, and much more.

StackStorm is a powerful automation engine, but has a lot of moving pieces, configuration details, corner cases, and a steep learning curve. Many compare st2 with K8s and, indeed, you can spend weeks stitching things together to make the StackStorm installation and configuration pipeline fit your specific needs. Then you start benefiting from automation!

Deploying software to support the work of an enterprise is an increasingly complex job that’s often referred to as ‘devops.’ When enterprise teams started using artificial intelligence (AI) algorithms to more efficiently and collaboratively run these operations, end users coined the term AIOps for these tasks.

When we have large-scale, distributed systems, Logging becomes essential for observability, monitoring, and security. No matter what architecture (Monolith/Microservices) our systems have, they are complex due to the number of moving parts they have and the challenges they face around management, deployment, and scaling. In this scenario, Log management tools rescue the DevOps and SRE teams in order to help them monitor and improve performance, debug errors, and visualize events.

Digital services are increasingly built as a collection of components working in concert to deliver significant business functions. Understanding how these components of a system are working is crucial to reliably delivering a service. With many systems interacting, it can be difficult, if not impossible, to understand the state of your services and their dependencies without detailed data about how they function.

I open my laptop and look over my cases while I slurp down my first cup of coffee. Most of my backlog is waiting on customer updates, or bug fixes. Two of my cases have been marked for closure. Not a bad start for a Monday! A pod CrashLoopBackoff issue was resolved by bumping up memory requests, and the missing metrics issue was solved after applying some Prometheus annotations to the customer’s nginx pods. I notate and close both cases. No sooner do I hear the beep of the badge scanner.