Operations | Monitoring | ITSM | DevOps | Cloud

Software systems are increasingly complex. Applications can no longer simply be understood by examining their source code or relying on traditional monitoring methods. The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach: observability.

Relabeling is an important feature that allows users to modify metadata (labels) of scraped metrics before they ever make it to the database. As an example, some of your scrape targets may generate metric labels with underscores (_), and some of your targets may generate labels with hyphens (-). Relabeling allows you to make this consistent, making database queries easier to write.

In Part 1 of this blog series, I proposed that closed-loop orchestration (CLO) is a data management problem. Data extends beyond your medical history, social media, and other PII in the digital world. Configurations, inventories, and monitoring systems are based on managing, interpreting, and actioning data. CLO is a workflow about manipulating the data around the target environments. Even the policies and constraints need to be expressed as data.

Since its initial release in 2010, Elasticsearch has grown into the most popular enterprise search engine with use cases that range from web crawling and website search to application performance monitoring and security log analytics. But despite its widespread adoption and success, Elasticsearch does have some notable disadvantages that you should consider - especially if you’re envisioning a high-scale deployment with a large amount of daily ingestion.

If you missed KubeCon North America 2023 in Chicago, or you were there and spent more time in the “hallway tracks,” you may have missed some of the big news that came out of the show. We covered the big happenings in the open source cloud native and observability realm in the latest episode of OpenObservability Talks!

The ability to swiftly resolve incidents is central to SREs responsible for a service's reliability and its users' satisfaction. Mezmo has recognized this need and, at Kubecon, unveiled an innovative solution: Mezmo Responsive Pipelines. Responsive Pipelines enable users to pre-configure a Pipeline to respond automatically in the case of an incident.