Operations | Monitoring | ITSM | DevOps | Cloud

How mission critical services build for failure ft. Hector Aguilar of Okta

If you can’t get through Okta, you can’t do your job. But failures happen. With this reality its not about preventing failure but about dealing with failure. Rob is joined by Hector Aguilar, former VP of Technology at Okta shares how he helped create a culture expecting and prepared for failure.

DevOps.JS Workshop: Tracking errors and slowdowns across JS applications using Sentry

Join Simon Zhong, Sentry Sales Engineer, as he goes through setting up Sentry step-by-step to get visibility into our frontend and backend. Once integrated, he will track and triage errors + transactions surfaced by Sentry from our services to understand why/where/how errors and slowdowns occurred within our application code. This workshop took place live at DevOps.JS Conference on March 21, 2022.

April/2022 - CVE-2022-22965: Spring4Shell Remote Code Execution Mitigation

Recently, a Remote Code Execution vulnerability was discovered in the Java Spring Core library. This vulnerability allows attackers to execute arbitrary code on affected systems. You can find more information on that vulnerability in the announcement on the Spring Blog. While HAProxy Enterprise, HAProxy ALOHA, and other products within the HAProxy Technologies portfolio are not impacted by this (they do not use the Spring Core library at all), you can use our products to mitigate the attack.

Pivoting InfluxDB Series Data into Relational Layouts

Most developers are more familiar with the shape of relational data than the shape of time series data. InfluxDB stores time series data in such a way to maximize its effectiveness. As developers get more familiar with time series data, it may be helpful to view time series data in a relational layout. Fortunately, Flux language makes it easy to present your time series data the way that's useful for you.

A Primer for Monitor as Code: How to use Splunk Observability Cloud with Terraform

Managing the complexities of today’s cloud native infrastructure has resulted in the increased need for observability. As cloud adoption continues to grow, the need to deliver a better customer experience, scale efficiently and increase momentum on innovation has never been more important. For many organizations to carry out these principles, two technologies are helping organizations deliver on these goals faster: Monitoring-as-Code and Infrastructure-as-Code.

Splunk Embarks on AWS Graviton Journey with Amazon EC2 Im4gn and Is4gen Instances

We are excited to announce that Splunk Cloud Platform is moving to next generation AWS Graviton2 processor hardware to help enable enhanced performance for customers who choose AWS as a provider. This begins a phased transition of our Splunk Cloud Platform indexer tier in a move that will help Splunk operate more efficiently and provide customers with the cutting edge in processing technology.