Operations | Monitoring | ITSM | DevOps | Cloud

Implement Observability as Code with HashiCorp and Splunk

Driven by digital market shifts, organizations are adopting cloud and cloud-native technologies to deliver a better end-user experience, scale efficiently — both up and down —and increase innovation velocity. While distributed cloud architecture brings agility, it also brings operational complexity. Therefore, developing effective observability practices is all the more important for delivering a flawless end-user experience for cloud applications.

Supercharged SOAR: Meet Splunk Phantom 4.9

The number of cyberattacks launched on organizations continues to rise every year. More attacks means more security alerts that security analysts have to triage each day. Many security teams have turned to a security orchestration, automation and response (SOAR) tool to help them automate the ever-increasing volume of security alerts, and respond to threats faster and more comprehensively.

What's New in Logz.io with Infrastructure Monitoring? Upgrading to Open Source Grafana 7

Logz.io Infrastructure Monitoring just got some substantive upgrades to kick off the summer. The major change is the Grafana 7 update, specifically to version 7.0.3. This includes several new features. The Logz.io deployment will also include applying Grafana to logs. The Transform tab gives users the option to quickly add non-time series data to tables and then pair it with other data (time series or not) in your Metrics deployment.

Semiannual Report of Unplanned Server Downtime | 2020 Q1 + Q2

No, this isn’t physics news; hold that Nobel Prize. This is about downtime; the dark matter of the web. It’s invisible to most of us, but its gravity has huge effects on commerce, companies, and markets. For everybody who does business online, unplanned website or service outages drag down their revenue, drag down their profits, and drag down their brand.

Azure Monitor Agents: their different functions

In the Azure Monitor Learning Path, we talked about metrics and collecting data in a Log Analytics workspace to be operated on with KQL. As a part of it, we also talked about Monitoring Solutions and how they help you collect data into the workspace that is more focused for specific purposes. In that series, our main focus was on the Log Analytics Agent and I briefly talked about Diagnostics extension.