Cables2Clouds

Send us Fan MailA seasoned cybersecurity engineer with a federal background, an active network, and a clearance should not have to fire off 200 to 300 applications to get hired. Yet that’s exactly what happened to Spud, and the story exposes how broken tech hiring and cybersecurity recruiting have become in the post-layoff market.We walk through what it feels like to go from protecting critical systems to months of unemployment, repeated ghosting, and interview loops that never close. We talk candidly about the modern hiring process: applicant tracking systems, AI resume screening, recruiters who cannot validate specialised requirements, and the strange new normal where “entry-level cybersecurity” postings demand senior experience plus expensive certifications. If you’re trying to break into a SOC analyst role, pivot into security, or simply survive the current tech layoffs, you’ll hear why the noise is so high and why the rejections often have nothing to do with your ability.Then we zoom out to the incentives driving the chaos. We discuss AI as a tool that can help teams move faster, but also how “replace juniors with AI” thinking cuts the first rung off the ladder and creates a future senior talent cliff. We also dig into the economic ripple effects of mass layoffs, especially in high-cost regions, and why the AI bubble feels less like magic and more like expensive experimentation with uneven results.If you’re feeling stuck or doubting yourself, this conversation offers reality, context, and a path to keep going. Subscribe for more straight-talk on cybersecurity careers, share this with someone job hunting, and leave a review with the hardest hiring hurdle you’ve faced.How to connect with Spud:https://www.linkedin.com/in/jamesterrebonne/Check out the Monthly Cables2Clouds News Feed:https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

California’s new AI laws target workplace decisions, privacy, deepfakes, healthcare, and courtroom accountability. Data centers face grid, water, and energy rules as communities resist massive projects and more than $170 billion in capacity stalls. The discussion also tackles AI’s trillion-dollar revenue challenge, chip and memory shortages, orbital computing, a new networking protocol, and Microsoft’s Exchange Web Services retirement.

Dan Sheldon, EVA Networks CEO, and Paul Carvill, its CTO, explore networking built for agentic AI. They discuss why user-focused zero trust misses workload-to-workload traffic, how intent-driven ephemeral access creates connectivity only when needed, and the risks of always-on tunnels. The conversation covers security guardrails, auditability, cloud costs, lateral movement, and post-quantum threats.

Send us Fan MailAWS and Azure just did the thing everyone argued would never happen: a managed, first party multi-cloud interconnect between the two biggest cloud platforms. We break down what’s actually new here, what’s simply being productized, and why this matters for enterprise cloud networking, identity driven architectures, and outage aware design. We also talk honestly about the current limitations and where high throughput connectivity still depends on ExpressRoute, Direct Connect, and established data centre cross connect ecosystems. Then we pivot to the AI platform earthquake: NVIDIA’s planned $12.9B acquisition of Hugging Face. We explore incentives and power dynamics behind buying the “AI model repository” that hosts millions of open models and datasets. Does this make open model development easier and faster, since NVIDIA sells the GPUs that run everything, or does it create a new choke point the industry should monitor? From there, we connect the dots to AI infrastructure economics and security. We discuss the growing debt and risk in data centre financing, including reports of scaled back guarantees on a major build, and why that matters beyond tech circles. We also unpack the OpenAI agent breach story with the nuance mainstream coverage often skips: a hacking test, an internet path through a proxy, weak monitoring, and why those details change the lesson. We wrap on a lighter note with GPT-6 Astra early impressions and what rapid prototyping can look like when the model is genuinely better. If you found this useful, subscribe, share it with a colleague, and leave a review with your take on multi-cloud and open models.Check out the Monthly Cables2Clouds News Feed:https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan MailSpace internet is no longer a science project, and the gap between “cool demo” and “usable enterprise transport” is closing fast. We sit down with Tom Kunath from Cisco to unpack what’s actually happening behind the hype: low Earth orbit constellations that hand off satellites every few seconds, improving latency that can land in the tens of milliseconds, and the messy networking realities that show up as loss, jitter, and unexpected performance drops.We walk through the multi-orbit picture in plain terms: why GEO is stable but slow, why MEO sits in the middle, and why LEO is the current spotlight for enterprise applications. From there, we get practical about SD-WAN over satellite. Tom shares what his testing revealed about early instability, how ground stations and oversubscription influence user experience, and what kinds of SLAs are realistic today when you design for roughly 1% loss and variable conditions like rain fade and obstructions.The most eye-opening part is the TCP story. Even when bandwidth looks great on a quick speed test, classic congestion control can crater sustained throughput as soon as loss appears. We dig into how SD-WAN features like TCP optimization/proxy, forward error correction, and packet duplication can turn “quirky broadband in space” into a link you can actually route over with confidence. We also cover security approaches from treating satellite like the public internet with IPsec overlays, to private L2VPN style services, and the next wave of “gatewayless” satellite networks that aim to keep traffic off the ground entirely.If you’re designing resilient branch connectivity, connecting remote sites, or planning for non-terrestrial networking and direct-to-device 5G, this conversation will sharpen your mental model fast. Subscribe, share this with a network engineer who’s skeptical about satellite, and leave a review with the biggest question you still have about LEO and SD-WAN.Connect with Our Guest: https://www.linkedin.com/in/tom-kunath1679/Cisco Starlink CVD:https://www.cisco.com/c/en/us/td/docs/solutions/CVD/Campus/Cisco_SDWAN_Starlink_LEO_Satellite_CVD.htmlCheck out the Monthly Cables2Clouds News Feed:https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

They debate proposed US limits on Chinese 800G optical transceivers and the capacity versus security tradeoffs that follow. They cover China’s cybersecurity review of networking products and whether it’s protectionism. They discuss moratoria and pushback on hyperscale data center builds and how politics reshapes cloud plans. They highlight AI-related security risks like AI-boosted phishing, runaway autonomous agents, and new offensive cyber authorities.

Zach Korman, a security researcher who stress-tests AI agent frameworks, explains why connecting agents to tools and marketplaces creates systemic risks. He discusses supply-chain attacks from malicious skills, why many security claims collapse under testing, protocol design flaws that invite prompt injection, and practical steps teams can take to reduce third-party exposure.

Send us Fan MailTwo competitors deciding to stop fighting and build together always raises one question: what changes for the customers the next morning. We start with the BT and Verizon International joint venture and dig into what a shared global network footprint could mean across SD-WAN, MPLS, Ethernet and cloud connectivity, including the uncomfortable parts like orchestration changes, duplicated POPs and the possibility of forced migrations. If you run global sites, this is the kind of deal that can quietly reshape your WAN roadmap.Then we shift to the money and physics behind the cloud: Virginia’s new per kilowatt-hour data center electricity tax. It sounds small until you apply it to hyperscale consumption, and the inclusion of self-generated power closes an obvious workaround. We talk through why Northern Virginia’s data center corridor matters, how policy spreads state to state, and why the “they’ll just pass the cost on” argument is less theory than a pricing strategy you eventually see in your cloud bill.From there, it’s security and governance: the White House post-quantum cryptography executive order and the accelerating reality of quantum risk, including “harvest now, decrypt later.” We connect PQC deadlines to refresh cycles, vendor readiness, and the practical work of migrating both infrastructure and applications. We also hit identity head-on with Cisco’s plan to bring identity lifecycle security into Splunk’s agentic SOC, because non-human identities and AI agents are changing what least privilege even means.We close with the growing pattern of government intervention in frontier AI models and what it does to businesses building on specific model capabilities. If you found this useful, subscribe, share the show with a friend and leave a review so more people can find it.Check out the Monthly Cables2Clouds News Feed:https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan MailNetwork automation doesn’t fail because engineers can’t code. It fails because teams can’t turn one-off wins into a repeatable way of operating. We sit down with Scott Robohn of Solutional, co-founder of the Network Automation Forum and one of the people behind Autocon, to unpack why Autocon keeps growing and why a “production-first” mindset changes the entire conversation.We talk about what makes the Autocon room feel different from traditional tech conferences: a grassroots vibe, a tough selection process that rewards what’s actually running, workshops that go deep, and a culture where it’s safe to share what broke. Scott also highlights a leadership track idea that hits home for working engineers: automation only scales when we can explain outcomes, costs, risk reduction, and why the business should tolerate early stumbles.Then we get real about AI in NetOps. LLMs can speed up scripting, summarize telemetry, and help teams prototype faster, but that doesn’t magically create maintainable enterprise automation. We dig into the gap between step one and step three, why workflow discipline matters, and how spec-driven development and test-driven development make AI-assisted work safer. We also connect the dots to security automation, SOC versus NOC adoption, and the emerging “security for AI” problem where policy alone is not a control.If you’re thinking about Autocon 6 in Tucson (November 16 to 20), Scott shares what to expect and how to plug into the community. Subscribe, share this with a teammate who owns change management, and leave a review with your biggest automation hurdle.Connect with our guest:Scott's LinkedInhttps://www.linkedin.com/in/scottrobohn/Network Automation Forumhttps://networkautomation.forum/Solutionalhttps://solutional.com/Check out the Monthly Cables2Clouds News Feed:https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan MailWe react to the biggest stories from Cisco Live, focusing on why Cloud Control and Multi-Cloud Fabric could simplify how teams manage multi-domain infrastructure. We also unpack the Mythos export control shockwave and the growing backlash to AI data centers as efficiency claims collide with real community costs. • Cloud Control as a manager of managers, bringing consoles, telemetry, and logs closer together • Early-stage reality of “unified” platforms, plus the longer-term need for a shared policy engine • AI Canvas and cross-product troubleshooting, pulling signals without console hopping • Multi-Cloud Fabric as network as a service for branches, data centers, and multi-cloud connectivity • Mythos 5 rollout frustrations for security workflows and why guardrails changed user experience • Export controls and the fallout for foreign nationals, partners, and even internal teams • Glasswing, vulnerability discovery, and the open question of how much better Mythos really is • Bug bounty economics, including the reported cost per bug and what that means for incentives • AWS water efficiency claims, plus why water and energy constraints still drive public resistance • AI spend whiplash, cloud-era déjà vu, and why capacity keeps running into physics Check out the Monthly Cables2Clouds News Feed:https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj