Tag: devops
Opsera Report Highlights DevOps Challenges Created by AI Coding Tools
An analysis published today by Opsera, a provider of a DevOps platform, finds that while adoption of artificial intelligence (AI) coding tools has increased developer productivity they also create more duplicate code, ...
The Four Knobs of AI Agent Reliability: A DevOps Perspective
AI agents aren’t chatbots—they’re systems that act. This guide cuts through the hype to show how DevOps teams can configure, trust, and run AI agents reliably in production ...
Futurum Group Survey Sees Increasing Investments in AI to Deliver Software
A global survey of 628 enterprise IT leaders conducted by the Futurum Group finds that increasing investment in generative artificial intelligence (AI) (40%), followed closely by AI and machine learning (ML) technologies ...
Harness Adds AI Agent to Help Investigate Incidents
Harness today added an artificial intelligence (AI) agent to its portfolio that has been specifically trained to help DevOps teams investigate events that occurred prior to an incident. Tina Huang, vice president ...
FinOps Meets DevOps: Engineering Cost Ownership in 2026
Muhammad Yawar Malik | | AWS costs, CI/CD cost checks, cloud cost management, cloud spend optimization, cost as code, cost per transaction, developer accountability, devops, engineering cost ownership, FinOps, FinOps 2026, infrastructure costsIn 2026, cloud cost overruns stop being finance’s problem and become an engineering responsibility. Here’s how treating cost as code finally makes FinOps work ...
The Next DevOps Frontier: Governing Models, Agents and Code
Anaconda CEO David DeSanto explores what it takes to make AI-native development practical, secure and scalable for modern engineering teams. DeSanto reflects on his journey from leading product at GitLab to stepping ...
Yes, We Know AI Isn’t a Person
Let’s get the obvious out of the way right up front. AI isn’t a person. Thank you, Captain Obvious. We’re all on the same page. And yet, when we announced that AI ...
Your AI Agents Have a Blind Spot: What DevOps Teams Need to Know About Cross-LLM Security
Arun Sanna | | AI agents, AI infrastructure, Behavioral Monitoring, Cross-LLM Detection, Cybersecurity, devops, DevOps pipelines, incident management, Model-Aware Detection, Multi-LLM Environments, security best practices, Security Gaps, supply chain security, threat detection, vulnerability managementExplore the challenges of AI agents in DevOps pipelines, highlighting the importance of model-aware detection to improve security and reduce vulnerabilities ...
Security Controls That Slow Teams Are Usually Poorly Designed
Venkata Nedunoori | | Approval Processes, automation, continuous change, devops, Friction Reduction, Gates vs. Guardrails, Human Oversight, incident management, Metrics for Success, operational efficiency, Policy Compliance., risk management, Security Controls, Security Workflow, Trust in SecurityDiscover strategies to enhance security controls in DevOps, emphasizing the shift from gates to guardrails and the importance of designing around real workflows ...
Eficode Unifies Operations to Join AI Software Development Landgrab
The march to build comprehensive software application development platforms aligned and optimized for the AI-first era is running at a breakneck pace. Latest to join the current land grab and pledge allegiance ...
Survey Sees Growing Interest in Switching Observability Platforms
A survey of 100 VP+ IT decision-makers published today finds 62% plan to increase spending on observability initiatives over the next 12 to 24 months, with only 4% planning to decrease spending ...
Predictive Maintenance in Industrial Settings: Leveraging IoT and DevOps Practices for Maximum Uptime
In modern industry, keeping machines running nonstop is a challenge. Systems grow more complex each year, yet expectations for reliability never relax. Predictive maintenance has emerged as one of the most effective ...
