Operations | Monitoring | ITSM | DevOps | Cloud

Research firm IDC predicts that overall data volumes will grow from 33 zettabytes in 2018 to 175 zettabytes by 2025. 50% of the data will come from IoT devices and nearly 30% of the data will get consumed in real-time by 2025. The data economy has changed the game on how enterprises will need to work with digital technologies to become more effective, competitive, and innovative.

Mean time to resolution (MTTR) is defined as the sum of the total amount of time that service was interrupted divided by the number of individual incidents. The unit of measurement is some quantity of time. Ideally, you can use minutes as the unit. That is, unless you blacked out the eastern seaboard for weeks!

It’s never been easier to create your own website, or to start selling your products online. There is a wide range of Content Management Systems (CMS) for you to choose from, each offering its own unique set of features and functionality. You have probably already heard of many of the most well-known CMS, such as WordPress and Squarespace, but there are other less well-known platforms that may be more suited to your needs.

As discussed in our blog post [What is User Activity Monitoring?], user activity monitoring (UAM) is a form of surveillance that provides visibility and insight into employee productivity and engagement while also revealing insider security threats. While UAM on company-owned or company-sanctioned devices and networks is legal, ethical and HR considerations require that UAM be implemented with a high level of professionalism and sensitivity.

AWS CloudWatch allows you to collect log files such as the Apache2 access or error logs from your AWS EC2 instances. This is especially useful if you have a scaling group of instances behind a load balancer. Rather than connecting to each instance and manually searching the logs with grep, CloudWatch centralises the logs into one log stream, allowing you to search all your log files from one place.

Launched at KubeCon North America last December, Loki is a Prometheus-inspired service that optimizes storage, search, and aggregation while making logs easy to explore natively in Grafana. Loki is designed to work easily both as microservices and as monoliths, and correlates logs and metrics to save users money. Less than a year later, Loki has almost 6,500 stars on GitHub and is now quickly approaching GA.