Where the world meets DevOps. Powered by @TechstrongGroup.
Joined February 2011
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DevOps.com retweeted
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 👉 cloudnativenowevent.com
#CloudNative #AIInfrastructure #Kubernetes #DevOps
DevOps.com retweeted
AI adoption in software development is increasing pressure on testing teams as they work to keep pace with frequent code changes, manual testing demands, and the maintenance of existing automation.
In partnership with @UiPath, @TechstrongGroup surveyed 137 software testing practitioners and decision-makers to examine how organizations are managing testing workloads and preparing for AI-powered and autonomous testing.
The findings show that 43% spend more effort maintaining existing automated tests than creating new coverage. While 62% consider autonomous testing important to their future delivery strategy, only 42% are actively evaluating or adopting AI-powered testing solutions.
Download the full PulseMeter report to explore the research findings and insights into improving testing efficiency, automation reliability, and software delivery.
👉 bit.ly/4dPSOSX
#SoftwareTesting #TestAutomation #DevOps #EnterpriseAI
DevOps.com retweeted
Harness this week added AI Budgets to its Cost Management Agent, letting organizations set spending policies by user, team, developer, model or project and see the tokens going into input, output and reasoning for any given task.
Built first as an internal tool, it delivered a 37% savings according to Harness's own FinOps director, and the point is to stop treating tokens as though they were a virtually unlimited resource.
Read the full article on how organizations are starting to ration AI spending: buff.ly/5RmspVP
#AgenticAI #FinOps #Harness #AICosts #DevOps
DevOps.com retweeted
AI protests, Kalshi fraud controls and AI reverse engineering: @mvizard @jswartz @TeriRnNY @AndiMann examine trust and oversight. #AI #OpenAI #PredictionMarkets #FraudPrevention #ReverseEngineering xitter.cf/i/broadcasts/1qxoNYvbj…
DevOps.com retweeted
Couchbase has extended its database to support AI applications with vector search, semantic caching and integration with Amazon Bedrock, plus a managed MCP server and Agent Memory services that let agents persistently access profiles, conversation history and vectorized facts across sessions.
Legacy databases are not optimized for AI agents, as Couchbase's AI chief puts it, and the challenge now is supporting those workloads without adding another backend platform to production.
Read the full article on how Couchbase is evolving into a data plane for AI: buff.ly/6tqM85Q
#Databases #Couchbase #AI #AIAgents #VectorSearch
DevOps.com retweeted
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: bit.ly/4yC5C6S
#AWS #CloudModernization #PlatformEngineering
DevOps.com retweeted
Telemetry can be in every service and still leave platform teams blind. Coverage without the ability to analyze it and get insights just increases cost.
Measure whether your most junior engineer feels confident debugging in production: platformengineering.com/feat…
#Observability
DevOps.com retweeted
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. techstrong.tv/videos/intervi… #AIAgents #DevOps
DevOps.com retweeted
AI agents can now take compiled software apart and explain how it works. Great for legacy modernization. Less great if your client code holds secrets. My latest for @devopsdotcom:
devops-hd5ff.sevalla.app/ai-… #DevOps #AppSec
DevOps.com retweeted
Broadcom is adding HyperArmor to VMware ESX, introducing real-time threat blocking, script allowlisting and SSH multi-factor authentication to protect hypervisors from emerging attacks.
Read more: buff.ly/0ZfuuOl
#Broadcom #VMware #Cybersecurity #Virtualization #InfrastructureSecurity
DevOps.com retweeted
"Don't ask what AI can do. Start with asking what you want AI to fix first." @ManageEngine's Rakesh Jayaprakash tells Mike Vizard where AI in IT operations should start.
▶ Watch the full interview: techstrong.tv/videos/intervi…
#ITOperations #AIAgents
DevOps.com retweeted
Developers are going from working with one coding agent to leading teams of them, but the tools around those agents still assume one session, one task, one person watching. Each agent works in isolation. So the developer becomes the coordination layer: carrying context between sessions, deciding who picks up what, noticing late that two agents touched the same code.
We launched @band_hq for Developers to move that coordination to the agents. They communicate, divide the work and hand off to each other directly. The developer sees ownership, blockers and escalated questions as they appear, and steps in while it's still cheap to change course.
Thank you to Mike Vizard and @devopsdotcom for covering the launch.
devops.com/band-desktop-appl…
DevOps.com retweeted
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: zpr.io/M5hbZeGg8QtD
#PlatformEngineering
DevOps.com retweeted
AI agents are driving token costs up fast. Mike Vizard talks with Jack O’Brien of Subconscious about optimized inference, GPU utilization and powering trillions of agents.
Watch: techstrong.tv/videos/intervi…
#AI
DevOps.com retweeted
If one application is compromised, how much of your company goes with it? We ask how many vulnerabilities were found and how quickly patches are applied, but those questions leave a business owner wondering whether one bad afternoon can shut down the company, and the answer depends on what the compromised system can reach.
That is why Aviatrix and IonQ are both connecting containment with cryptographic protection, because a restriction already in place can prevent a connection while the security team is still figuring out what happened.
Read the full piece on why containment deserves more of the budget conversation: buff.ly/qBC918W
#Cybersecurity #ZeroTrust #Containment #QuantumSecurity
DevOps.com retweeted
Qualys revealed TruConfidence at its ROCon Americas conference, a remediation intelligence engine that uses multiple AI agents and models to assess which patches are actually critical to a specific IT environment, since only 1% of the 79,902 vulnerabilities disclosed this year are likely to have any real impact.
Too much time still gets wasted chasing celebrity vulnerabilities like Log4j when the Java logging tool often isn't even reachable from the internet, and ticket-based workflows were never designed for an era where exploits get reverse-engineered in hours.
Read the full article on why patch management has to be re-engineered now: buff.ly/IzrF9zr
#Cybersecurity #PatchManagement #Qualys #AgenticAI #AIAgents
DevOps.com retweeted
AI espionage, replicating models and escaping lock-in: @mvizard @jswartz @TeriRnNY @jpmorgenthal examine trust, control and migration. #AISecurity #Cybersecurity #IoT #AgenticAI #VendorLockIn xitter.cf/i/broadcasts/1dKrPrznv…
DevOps.com retweeted
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: buff.ly/QO2mXBG
#NVIDIA #OpenSource #Kubernetes #GPU
DevOps.com retweeted
In case you missed it, 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦 is now available on demand.
The event explores how organizations can connect AI strategy with the infrastructure, architecture and operational foundation needed to support enterprise AI. Sessions cover open architecture, accelerated computing, AI sovereignty and the path from experimentation to measurable business value.
Presented by @TechstrongGroup, part of @TheFuturumGroup, the program brings together insights from @RedHat, @Dell, @dify_ai, @weka and @nvidia on the infrastructure and technologies supporting enterprise AI.
Access the full event on demand at your convenience: bit.ly/3TlaoqX
#EnterpriseAI #AIInfrastructure #AIStrategy #ArtificialIntelligence
DevOps.com retweeted
Bank of America hired 1,000 contractors to help address software vulnerabilities exposed by advanced AI models, adding to roughly 3,000 employees already working that area, a substantial response that still raises the question of how many people would ever be enough.
A thousand more can still be waiting for permission to interrupt the same critical service, because discovery produces a finding while remediation requires understanding what it means in a particular environment, who owns the affected system and what can safely change.
Read why patching was never the whole problem: buff.ly/FQlnbuX
#Cybersecurity #AppSec #VulnerabilityManagement #AgenticAI
