Techstrong IT

Elon Musk has swiftly and aggressively denied a report that SpaceX recently showcased a prototype for a sleek, artificial intelligence (AI)-driven handset to investors, signaling a potential expansion into consumer hardware. The SpaceX CEO called reports “utterly false.” The prototype was presented to stakeholders ahead of SpaceX’s highly anticipated initial public offering (IPO) in June, according to a report by The Wall Street Journal.

After my recent article on why NetDevOps is stuck on the wrong problem, I got a response that I think captures the single most expensive misconception in network automation today: “A network engineer isn’t going to be able to build complex software… for networks that are critical and large enough, you see devs building the automation, not just a network engineer who can do Python scripts and Ansible.” When I pressed on what that looks like in practice, the answer was revealing: those dev...

After my recent article on why NetDevOps is stuck on […]

High-stakes exams determine access to education, professional credentials, and careers. As more of those exams move online, organizations are asking whether remote testing can truly be trusted. Growing concerns regarding cheating often frame it as a behavioral problem, but it is better understood as a systems problem. Most testing programs today rely on models that were designed for a very different era.

Techstrong.it is now providing a weekly IT jobs report through which opportunities for IT professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for IT professionals to advance their careers. Of course, the pool of available IT talent is still relatively constrained, so when one IT professional takes on a new role, it tends to create opportunities for others.

If you’re a mainframe engineer, you’ve probably had this conversation at least once: Someone from the operations team wants a dashboard of job abend trends, RACF activity spikes or workload performance data across LPARs, and the answer is always the same: “We’ll need to route SMF records through Splunk.” You route them. Then you wait for the Splunk team to ingest the data, build a parser and validate the pipeline. Weeks pass. The license bill grows.

The decisions that kept a CDC reference data pipeline honest from the Kafka layer through to Silver, and what we learned when they were tested Architecture diagrams lie, a little. Not on purpose. They show boxes and arrows in clean arrangements and make everything look sequential and tidy. What they cannot show is what fails first, what surprised you and which decisions you would fight the hardest to keep if someone wanted to simplify things. This is about those decisions.

Splunk makes sense when you need to correlate mainframe events with distributed system logs, cloud infrastructure or endpoint telemetry

David Foster is Caveon’s CEO and Chairperson of the Caveon Board of Directors. David’s main responsibilities are ensuring Caveon’s growth and financial health, creating a fulfilling work environment for employees, and providing affordable and innovative security solutions for clients.

China has brought online its first AI data center powered entirely through a direct connection to renewable electricity, demonstrating the country’s strategy of pairing expanding AI infrastructure with clean energy generation. Located in Zhongwei in the Ningxia Hui Autonomous Region, the new facility runs on electricity supplied from renewable energy sources rather than conventional grid power.