Cloud Native Now

Your go-to source for everything cloud native and containers. Powered by @TechstrongGroup.

[Cloud Native Now @ContainerJrnl]

AI workloads are putting new demands on familiar infrastructure.

Kubernetes, containers and cloud platforms provide the foundation. Supporting AI applications adds decisions about data, inference, agent orchestration and operational control.

Cloud Native Now 2026 brings those layers together through practical sessions focused on The AI Stack.

Hear how practitioners approach real architectures, production challenges and the trade-offs involved in building and operating AI-powered applications.

📅 October 29, 2026
💻 Free virtual event

Explore the agenda and register 👉 https://t.co/l7D3KsCZR3

#CloudNative #AIInfrastructure #Kubernetes #DevOps

[Security Boulevard @securityblvd]

Two critical PHP vulnerabilities carrying a 9.2 severity score threaten the 70% of websites running the language, and researchers at Wiz, OpenAI and Calif found them by using frontier AI models to chain steps that sat at the edge of what human researchers could practically achieve.

As the Wiz team put it, PHP2Shell could mark a turning point for the AI era, illustrating how AI can change the practical exploitability of longstanding vulnerabilities, and in-the-wild exploitation attempts are already hitting watchTowr's sensors.

Read the full article on the flaws and what teams should check before the next crisis: https://t.co/9kMG0102M4

#Cybersecurity #PHP #InfoSec #AI #AppSec

[Techstrong TV @TechstrongTV]

AI agents that wow in a demo often can't repeat the same task, and that gap keeps prototypes out of production. Mike Vizard (Techstrong Group) with Adam Jacob (@adamhjk) on building agents you can rely on. https://t.co/lV74kxwV9S #AIAgents #DevOps

[DevOps.com @devopsdotcom]

An ActiveState survey of 307 enterprise technology leaders found 94% of organizations using AI coding tools now depend on more open source software as a result, just as AI models surface more open source vulnerabilities that can be exploited in hours.

Half admit dependencies reach production without review or approval, 32% traced a security incident to an unmanaged dependency in the past two years, and 83% say the cost of managing those risks is rising.

Read the full findings on the paradox at the center of AI-assisted development:https://t.co/7HFeDmjIXt

#Cybersecurity #OpenSource #SupplyChainSecurity #AICoding

[Cloud Native Now @ContainerJrnl]

ActiveState and Docker will both resell each other's hardened libraries and images, certified to SLSA Level 3, with Docker bringing more than 4,000 curated images and ActiveState offering an SLA that produces a hardened library within five days of an upstream fix.

That matters because 90% of application development teams are still running lightly modified public images with little to no hardening, even as AI cuts the time from disclosure to exploit down to hours.

Read the full article on why hardening moves the work to suppliers, and what that still leaves teams to verify: https://t.co/ND9z3jQO1v

#DevSecOps #SupplyChainSecurity #Docker #ActiveState

[Techstrong Learning @TechstrongLrn]

Cloud migration and modernization are the prerequisites for AI readiness.

Learn from @awscloud (AWS) and its partners - @softchoice, @kloia_com, @Cognizant, and Evolve Cloud Services - how leading teams keep data, applications, infrastructure, and delivery moving forward after moving to the cloud.

To help you on your AI journey, we have launched the AWS Modernization Learning Hub, a five-part webinar series.

Two sessions are ready to watch today:
• AI Starts with Your Data | Softchoice
• AIDLC: From Knowledge Base to Working Code | Kloia

Three more are coming up live:
• Oct 22 | Continuous Modernization | AWS
• Oct 28 | Engineering Agentic Cloud Migration at Scale | Cognizant
• Nov 4 | The Economics of Infrastructure Modernization | Evolve Cloud Services

Explore the hub and save your seat: https://t.co/vO4UlFzn4i

#AWS #CloudModernization #PlatformEngineering

[Cloud Native Now @ContainerJrnl]

AI pilots are easy to demo. Scaling them is an engineering challenge.

Learn how to build governed, verifiable agentic workflows for enterprise cloud migration.

Oct. 28, 3 PM ET.
Register: https://t.co/ctfQuJj3qB
#AgenticAI #CloudMigration

[DevOps.com @devopsdotcom]

Reverse engineering used to take a specialist, a disassembler and a lot of patience, and AI agents can now inspect compiled software, explain how it works and write a working version with no source code required.

OpenAI's own system card puts GPT-6 Astra at 99.2% on SRE-Bench binary reverse engineering within four attempts, and with tools like the open-source REA server connecting agents to Hopper, Ghidra and IDA, if your team can analyze someone else's app, someone else can analyze yours.

Read the full article on why security through obscurity is close to useless and what DevOps teams should do about it: https://t.co/6Wl2pYhnws

#Cybersecurity #DevOps #ReverseEngineering #AIAgents

[Techstrong TV @TechstrongTV]

Thousands of alarms, one root cause. @ManageEngine's Gowrisankar Chinnayan tells Mike Vizard why context comes first in AI observability.
▶ Watch the full interview: https://t.co/joPsJSJq8R
#Observability #AIOps

[Techstrong.ai @Techstrongai]

Linux users have a new secure and fast option for running AI agents, with Perplexity releasing SPACE under the Apache 2.0 license, a Firecracker-based sandbox where agents get root access to do their work while a per-sandbox gateway enforces egress policy on every outbound connection.

Its Secure Intelligence Institute evaluated 216 runs across nine frontier models, and on 108 occasions the models tried to escape their sandboxes, with zero breaching the VM boundary even when they had access to the SPACE source code.

Read the full article on how SPACE compares to other agent sandbox platforms: https://t.co/HAvyBDWBNk

#Cybersecurity #AIAgents #Perplexity #OpenSource #CloudNative

[Techstrong.IT @TechstrongIT]

Every new class of workload arrives with the claim that it's too performance-sensitive for a virtual machine, and AI on GPUs is just the latest, yet the overhead usually lands under 2% because the hypervisor isn't doing arithmetic in the data path.

The real cost of bare metal was always operational, and with most customers running GPUs below 50% utilization, virtualization gives you live migration and GPU sharing for a couple of percent, which is the same trade we made for databases years ago.

Read the full argument for why bare metal is the smaller case than most people assume: https://t.co/IOwXqtHh5e

#AgenticAI #GPU #Virtualization #VMware

[DevOps.com @devopsdotcom]

Open source security company Chainguard has released Workspaces, a service designed to give agents a safe space to do their thing without disrupting the security of existing operations, running them in hardware-isolated ephemeral microVMs built from zero-CVE Chainguard OS packages and FIPS-compliant toolchains.

Credentials stay out of the workspace entirely, replaced by encrypted short-lived tokens, which addresses the bind administrators face today where an agent inherits its creator's full permissions or the user drowns in prompt fatigue approving each request.

Read the full article on how Workspaces handles isolation and what it is up against: https://t.co/dxxnbVh3jm

#Cybersecurity #AIAgents #Chainguard #AppSec

[PlatformEngineering.com @PlatformEng_]

When a developer platform fails and infrastructure, DevOps and SRE teams each own part of the system, developers wait while teams debate who should respond and who has authority to coordinate recovery.

Read more here: https://t.co/VxuIvyQuRM

#PlatformEngineering

[Cloud Native Now @ContainerJrnl]

Is your AWS environment ready to recover from a cyberattack?

Join Cohesity and AWS on Oct. 27 at 11 AM ET to explore cloud resilience, ransomware recovery, and protecting data and AI agents.

Register: https://t.co/7eYTZqrtg2
#CloudSecurity #CyberResilience #AWS

[Techstrong.ai @Techstrongai]

NVIDIA today released its full Run:ai GPU orchestration platform as open source, making the scheduler, GPU fractioning operator, resource management layer and workload map freely available to the community.

But open source doesn't equate to hardware-neutral, since the fractioning layer still runs on CUDA, and teams adopting it are choosing an NVIDIA-dependent control plane for their GPU estate.

Read the full article on what's included and what the lock-in means for platform teams: https://t.co/BjkBPlssuw

#NVIDIA #OpenSource #Kubernetes #GPU

[Techstrong.IT @TechstrongIT]

9 in 10 organizations want AI agents driving autonomous IT operations and 93% say their AI investments have met or exceeded expectations, yet more than three-quarters are hesitant to let AI make operational decisions without human approval, and only 24% extensively trust its recommendations with limited review.

Only 8% have applied AI to operations enterprise-wide and just 17% have fully unified visibility across networks, applications, endpoints and cloud, suggesting many organizations are underestimating what will clearly be a multi-year journey.

Read the full survey findings on where IT teams actually stand with AI agents: https://t.co/M5jUosdYMh

#AI #AIAgents #ITOperations #AIOps #EnterpriseIT

[DevOps.com @devopsdotcom]

Blitzy this week added a chat interface that lets DevOps teams express intent in natural language, with a software engineer describing a desired outcome that is automatically converted into a prompt assigning a task to an AI agent, and the ability to ask agents to explain how and why certain tasks were performed.

A Build Prompt Strength scoring tool evaluates the draft against defined quality standards, and the platform's knowledge graph spans architecture, dependencies, business logic and data flows mapped back to actual code, which becomes critical when a pull request can span hundreds of thousands of lines.

Read the full article on how agentic engineering handles review at that volume: https://t.co/NEzxN14taT

#DevOps #AIAgents #AICoding #SoftwareDevelopment

[Cloud Native Now @ContainerJrnl]

Tomorrow at 1 PM ET: AI agents are only as useful as the data they can trust.

Join @qlik and @amazonquick to explore how trusted data and analytics turn AI insights into action.

Register: https://t.co/syUx8lgi8o
#AgenticAI #DataAnalytics

[DevOps.com @devopsdotcom]

ScienceLogic's 2.7 update to its Skylar AI platform adds deeper visibility and control over AI agents automating IT operations, with a catalog that traces how requests were routed through an MCP server and a gatekeeper tool that inspects and quarantines suspicious content before an agent sees it.

Very few IT teams let agents autonomously perform tasks without supervision, but as they gain confidence, those teams are evolving into supervisors of agents that handle work previously done by administrators and engineers.

Read the full article on why IT management is never going to be the same again: https://t.co/dOsOyx9yzR

#Observability #AIAgents #AIOps #ITOperations

[Techstrong TV @TechstrongTV]

AI safety lawsuits, ROI doubts and engineering beyond code: @mvizard @jswartz @NetworkingNerd @robertreeves + Drew Gutstein examine the evidence. #AISafety #AIROI #Engineering #Cybersecurity #EnterpriseAI https://t.co/gIoAqyfH5h