Operations | Monitoring | ITSM | DevOps | Cloud

It has been just over two years since we introduced the Elastic Common Schema (ECS), and what a journey it’s been. From categorization fields to request for comments to Threat Intelligence fields, ECS has evolved rapidly over the course of the last two years. In this blog post, I would like to reflect on the ECS journey so far, and look towards the future of ECS.

Today’s telecom engineers are expected to handle, manage, optimize, monitor and troubleshoot multi-technology and multi-vendor networks, in a competitive and unforgiving market with minimal time to resolution and high costs for errors. With the ongoing growth in operational complexities, effectively managing radio networks, current and legacy core networks, services, and transport and IT operations is becoming a radical challenge.

One of the great things about SaaS applications is that users in the platform automatically have access to any available software updates. Yet, having a beta program requires a separate environment, creating a potential challenge for users and development teams. In this context, having a tool where you can control features and flag certain users is important because sometimes features are too early or not relevant for all users.

One of the best things about working at InfluxData is getting to know the worldwide InfluxDB community. It’s always fun getting to meet new users through our Community Slack, social media, team members and virtual/in-person events. I recently met David Ko, a DevOps engineer at Index Exchange. Index Exchange is a global marketplace for digital media advertising; I recently chatted with David over Zoom to discuss how they use InfluxDB at Index Exchange.

According to Dr. Stephen Hawking and the conservation of quantum information theory, information can neither be created nor destroyed… unless you work in IT. OK, he didn’t really say the part about IT; I did. In the physical world, information is constantly generated, curated, and consumed—from emails to cat videos to this blog post. Not to mention error messages, system logs, and alert emails you never read.

Elastic's new frozen data tier decouples compute from storage and leverages low-cost object stores such as Google Cloud Storage, Azure Blob Storage, or Amazon S3 to directly power searches. It provides unlimited scaling of storage while preserving the ability to efficiently query the data without any need to rehydrate it first, making it easier and cheaper to manage data at scale.