At Splunk, we understand that a secure platform is a trustworthy one. We strive to implement a protected foundation for our customers to turn data into action, and part of that effort is giving you more frequent insight into the security enhancements that we’ve made to the platform. In this blog series, we’ll share the latest enhancements to Splunk Enterprise, review our security features in depth, and explain why these updates are important for you and your organization.

Many of us hate our backup environments. That’s because backups kind of suck, even with a backup product as great as IBM Spectrum Protect. As I said in another post, it’s the thing that everyone needs, but no one cares about, and most definitely can make your life crappy. Ask any backup admin, and I know they’ll agree. Go ahead; I’ll wait. Yep, they said the same thing, didn’t they?

Mattermost is joining Red Hat, Google, and GitHub and over 130 other leading technology organizations authorized to be a Common Vulnerabilities and Exposures (CVE) Numbering Authority (CNA) by the CVE Program. The world’s most privacy-conscious enterprises and governments rely on Mattermost’s self-hosted, open source collaboration platform to keep their most vital communications safe and sovereign.

One of the first requirements of building an effective team that consistently delivers results is having dynamic team members with the right skill set. This means having the right number of people with the right skills working on your projects at the right time.

AWS Step Functions is a service that abstracts distributed applications into state machines, with each state representing a component of an application. Not only does this automatically generate an architectural diagram of your application’s workflow, it also makes it straightforward to reorder your states as well as implement parallel execution, retries, and other tasks.

The myriad of different fields that make up robotics makes QA practices difficult to settle on. Field testing is the go-to, since a functioning robot is often proof enough that a system is working. But online tests are slow. The physical environment must be set up. The entire system has to be in a workable state. Multiple runs are needed to build confidence. This grinds development to a halt.

Running systems in production involves requirements for high availability, resilience and recovery from failure. When running cloud native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running.

The Django Python framework allows people to build websites extremely fast. One of its best features is the Object-relational mapper (ORM), which allows you to make queries to the database without having to write any SQL. Django will allow you to write your queries in Python and then it will try to turn those statements into efficient SQL. Most of the time the ORM creates the SQL flawlessly, but sometimes the results are less than ideal.

MetricFire's Hosted Graphite automatically produces different statistical views on the data you send, providing fast views on your metrics at the most appropriate resolution for viewing on your dashboard.

When it comes to delivering the very best services to your customers, consistency is essential! That’s why many businesses choose to implement a service monitoring tool that will enable them to get greater control over their services. As one of today’s leading network and server monitoring softwares, Pandora FMS is here to share some of the benefits of service monitoring.