You may remember from our previous update (published August 2nd 2021) that we announced our initial support for the beta version of OpenSearch, well today we are pleased to announce that we’ve recently launched OpenSearch & OpenSearch dashboards 2.0.0 available for all platform users to use from today.

What a kickoff to the summer! That’s right, in the past two weeks, we got to welcome a lot of our ecosystem back with hugs, high fives, fist bumps, and air fives! It has been a great way to get welcomed into my new work family.

On the heels of several exciting developments about Splunk Cloud Platform announced at.conf22, I am excited to share today that Data Manager now supports onboarding of Microsoft Azure data sources, effective immediately.

It’s 3PM on a Friday, and your day is winding down. Suddenly, you get an urgent email from your boss asking you to set up an alert for monitoring volume. You consider this an easy task. You set a hard threshold for what you think is a low volume based on the last four hours of incoming data.

Wouldn’t it be great to peek into the future and find answers to the problems that you’re facing today? This may sound like science fiction, but many companies currently possess this capability, and they are creating strategies around it to strengthen their monitoring and analytical capabilities. One way is time series forecasting, a statistical method. You can take advantage of the insights of time series forecasting by using techniques like anomaly detection to gain.

As the container orchestration platform of choice for many enterprises, Kubernetes (or K8s, as it’s often written) is an obvious target for cybercriminals. In its early days, the sheer complexity of managing your own Kubernetes deployment meant it was easy to miss security flaws and introduce loopholes. Now that the platform has evolved and been managed, Kubernetes services are available from all major cloud vendors, and Kubernetes security best practices have been developed and defined.

The Internet of Things (IoT) can be found in a diverse range of devices, including fleets of autonomous vehicles, automobiles, planes, electric charging stations, and voice controllers. These devices are embedded with gateways, electronics, actuators, platform hubs, and cloud-service connectivity, enabling them to exchange data across the physical, network, and application layers that constitute IoT architecture.

In part one of our PHP logging blog series, we discussed what logging is and covered the basics of creating logs in PHP applications using the PHP system logger. While the PHP system logger automatically records critical events like errors in code-execution, a more customized logging setup can be achieved using PHP functions. For part two, let's look at the basics of creating custom error logs by calling PHP functions.