Operations | Monitoring | ITSM | DevOps | Cloud

When running a cloud service, it’s never good for customers to be the first people noticing an issue. It happened to our customers over the course of a few months, and we began to accumulate a series of reports of unpredictable start-up times for Docker jobs. At first the reports were rare, but the frequency began to increase. Jobs with high parallelism were disproportionately represented in the reports.

In modern communications networks the demand for more speed and more capacity to drive ever more advanced services has been at the heart of network development – especially in the mobile space. Even the generational numbers hint at the increases – 3G, 4G, 5G - every change indicating an increase, every change indicating something that is somehow bigger and better. And, of course, the impression created is largely correct.

Observability has gained a lot of momentum and is now rightly a central component of the microservices landscape: It’s an important part of the cloud native world where you may have many microservices deployed on a production Kubernetes cluster, and a need to monitor these microservices keeps rising. In production, quickly finding failures and fixing them is crucial. As the name suggests, observability plays an important role in this failure discovery.

Amazon Web Service or AWS has an immense cloud ecosystem now counting at over 200 services and products. Started with first generation services like EC2, S3, and RDS, now you can have satellite control centers, build virtual reality, and compose music using Artificial Intelligence. As the variety of services expanded, the necessity to monitor all those services efficiently became critical. Running a service without a proper monitoring system is no different from running while blind-folded.

The forced transition of all business forms to remote work has created a high demand for hosting. To survive in the new conditions, even small coffee shops create their own web pages using the services of hosting providers or B2B eCommerce hosting platforms. Meanwhile, certain technical features of hosting do not allow one company to monopolize this relatively new services market. All this makes hosting service providing a promising form of business to this day.

Data center automation is the process in which routine processes of data center operations are completed without any manual effort. It increases operational efficiency, improves data accuracy, and simplifies data center management. One of the leading organizations in driving automation via integration with Data Center Infrastructure Management (DCIM) software is Workday. Workday has been a Sunbird customer for over five years and currently has 900+ users on their system and growing.