Operations | Monitoring | ITSM | DevOps | Cloud

CloudFabrix, the Robotic Data Automation Fabric inventor, announced “Data Observability Pipelines” for dynamic Data Ingestion and automation for any data source and destination. The solution acts as a data management and integration service that uses robotic processes to automate data tasks, such as data integration, data ingestion, cleansing, transformation, and enrichment. Automated data management saves time, improves data quality, and streamlines data workflows.

It's fair to say that effectively managing an on-call rota is crucial for ensuring the 'round-the-clock availability of your services. But it's more than that. Spending the time getting your rotas right also empowers and protects the folks who make it all possible: your team. Some best practices for doing this include using software to automate scheduling, setting up teams with clearly defined responsibilities, establishing escalation policies, and defining time limits for issue resolution.

Everywhere businesses are growing and adapting new technologies to stand out from their competitors. In fact, 91% of companies are working on a digital initiative as per a report by Gartner. It has also been concluded that 89% of all businesses either already have a digital-first business strategy in place or intend to implement one. With everything on the cloud and complex form, detecting issues can be quite challenging.

With every major Splunk Enterprise release, we level up your dashboarding experience so that you can visualize and take action on your data fast. In Splunk Enterprise 9.2, we are bringing the experience across Classic (SimpleXML) dashboards and Dashboard Studio closer together and weaving in Dashboard Studio features from the two most recent Splunk Cloud Platform releases. This blog post covers the major dashboarding features included in Splunk Enterprise 9.2.

Designing and deploying applications in the cloud can be a labyrinthian exercise. There are dozens of cloud providers, each offering dozens of services, and each of those services has any number of configurations. How are you supposed to architect your systems in a way that gives your customers the best possible experience? AWS recognized this, and in response, they created the AWS Well-Architected Framework (WAF) to guide customers.