Operations | Monitoring | ITSM | DevOps | Cloud

The COVID-19 pandemic has brought in many changes that seemed implausible only a few months ago. The extended period of remote work coupled with ongoing business and productivity demands has really challenged organizations. The best way forward is to a well thought out strategy for the meantime as well as the preparation to return to the workplace. “The workforce has shifted work locations and work times due to the current climate.

Faithful operation of your JFrog Platform can be best assured by tracking usage data of Artifactory and Xray. With insights gained through real-time observability and log analytics, you can boost the efficiency of your DevOps pipeline and keep your software releases running joyfully. Datadog is a SaaS-based data analytics platform that is a popularly used monitoring service for cloud-scale applications.

Defining what a smart business is can be as difficult as defining what a smart person is. For decades, we have known that there are different types of intelligence that can help us in different aspects of our lives, and something similar happens with smart businesses. However, since we do not want to give up on our efforts to know what it is, we can see some of the different aspects that can turn a business into a smart business. Shall we take a look at them?

Our new Elastic for Students and Educator program provides online resources and support to help you teach and learn no matter where you are. Hear from Luis Francisco Sánchez Merchante, an educator based in Spain, as he reflects on the challenges he’s faced while teaching during a global pandemic.

Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring. There are countless services to keep track of—including storage, databases, and computation—each with their own complex pricing structure. Monitoring cloud costs is quite different from other organizational costs in that it can be difficult to detect anomalies in real-time and accurately forecast monthly costs.

Since 2014 when AWS launched AWS Lambda and kickstarted the serverless movement, going serverless has grown exponentially for organizations of all sizes from one-man start-ups to huge listed global enterprises. While there are some challenges to this new architecture, the ways moving to serverless can transform a business often far outweigh these.

The Cloud Is a No-Brainer… Most companies by now have a “to the cloud” initiative that’s at one stage or another of maturity. It’s a great way to make better use of all your resources—people, time, and money. And it gives you more flexibility. You don’t have to size your entire application architecture for important but short-lived peaks, such as Black Friday for retailers or year-end ERP closing for large manufacturers, to name just a couple examples.

MicroK8s was first released in late 2018 and has seen significant adoption rates from developers and enterprises alike ever since. Taking increasing demand and curiosity around the topic, we have already given an introduction to MicroK8s as well as covered how to deploy MicroK8s locally in previous blog posts. This time, we’ll take a look at MicroK8s’ applied value, by examining common MicroK8s use cases. Among others, this includes AI/ML workflows.