Operations | Monitoring | ITSM | DevOps | Cloud

As you may know, StatusGator has two monitor types at present: Cloud service monitors and website monitors. Our website monitor feature allows a myriad of sophisticated configuration options including interval config, HTTP methods, and content or status checks. We’ve just launched some important improvements to our API for those of you using website monitors. Our Service show endpoint will now include configuration details for those monitors that are website monitors under a new key called config.

We’re continuously enhancing your experience with StatusGator, and we’re thrilled to introduce our latest update to the Integrations page. You may have already noticed a couple of valuable additions we recently made.

Will your policy work? cf-promises can check the CFEngine policy for syntax errors and give you an overview of the host’s context. It’s always a good idea to check your policy for syntax errors. Consider this policy file: /tmp/feature-friday-6.cf Can you spot the error? Let’s see if cf-promises can help: command output The output tells us that there is a syntax error near line 6, column 2. A semicolon (;) was expected but instead, a closing curly brace (}) was found.

The ELK Stack is a collection of three open-source projects, Elasticsearch, Logstash, and Kibana. They operate together to centralize and examine logs and other types of machine-generated data in real time. With the ELK stack, you can utilize clusters for effective log and event data analysis and other uses. ELK clusters can provide significant benefits to your organization, but the configuration of these clusters can be particularly challenging, as there are a lot of aspects to consider.

In the critical world of healthcare services, efficiency and accuracy are indispensable. For a leading American health services company catering to the healthcare needs of over 100 million individuals and managing a workforce of more than 100,000 associates, a strategic approach to optimizing IT operations is necessary.

Datadog is a Software-as-a-Service (SaaS) cloud monitoring solution that enables multiple observability use cases by making it easy for customers to collect, monitor, and analyze telemetry data (logs, metrics and traces), user behavior data, and metadata from hundreds of sources in a single unified platform.