Operations | Monitoring | ITSM | DevOps | Cloud

Cloud is driving the way modern software is being built and deployed. At the forefront of this revolution is AWS, holding a whopping 33% of the cloud services market in Q1 2019. Considering AWS had a seven-year head start before its main competitors, Microsoft and Google, this dominance is not surprising. AWS offers, by far, the widest array of fully evolved cloud services, helping engineers to develop, deploy and run applications at cloud scale.

The Grafana community comes up with some pretty cool stuff, and we’re hoping to spotlight some of it from time to time. Today, we’re starting with the BigQuery datasource plugin developed by the team at DoiT International. DoiT is a reseller of Google Cloud and AWS that helps companies either move from on premise to cloud or move from one cloud provider to another.

Managing agile software deployment for cloud infrastructure can be challenging. Deployments should be automated whenever possible to ensure consistent version management. Nevertheless, it can happen that identical software versions are not deployed to all servers. Such imperfect version management is a potential time-bomb. Distributed systems and microservices often rely on the deployment of the exact same software version installed on every cluster node.

The ELK Stack is the world’s most popular open source log analytics and log management platform. Together, the four main components of the stack — Elasticsearch, Logstash, Kibana and Beats, provide users with a powerful tool for aggregating, storing and analyzing log data. In production environments, the ELK Stack requires an infrastructure flexible and powerful enough to power it.

Learn the best Splunk alternative, what to look for in alternative solutions, and other factors like logging features, speed, ease of use, deployment, scalability, and cost.What Does Splunk Do?Since its first release in 2007, Splunk quickly became one of the leading log management solutions. Its focus on enterprise grade log analysis and security incident and event management (SIEM) made it the de facto choice for organizations generating large volumes of log files and machine data.