Contributed Content
Quantum‑Ready Cloud DevOps – Getting ready for Quantum Computing Integration
Joydip Kanjilal | | AI and quantum, cloud-native quantum, devsecops, hybrid orchestration, post-quantum cryptography, quantum CI/CD pipeline, quantum cloud integration, quantum computing, quantum computing adoption, quantum computing in DevOps, quantum DevOps pipeline, quantum DevOps strategy, quantum machine learning, quantum observability, quantum readiness, quantum simulation, quantum transformation, quantum-ready DevOps, quantum-safe compliance, quantum-safe securityQuantum-Ready DevOps is the next evolution in cloud and software delivery — blending classical DevOps discipline with quantum computing innovation. Learn how hybrid orchestration, quantum simulation, post-quantum security, and continuous learning can ...
An Experience-Based Guide to Choosing the Right DevOps Provider in 2026
Alex Vakulov | | CI/CD pipeline, cloud automation, cloud migration, communication and cultural fit, continuous delivery, DevOps contract best practices, DevOps KPIs, DevOps managed services, DevOps outsourcing, DevOps partner selection, DevOps pricing models, DevOps service provider, DevOps team structure, DevOps vendor evaluation, devsecops, dora metrics, enterprise DevOps strategy, IaC, infrastructure as code, infrastructure monitoring, managed DevOps solutions, outstaffing DevOps, scalability, software reliability, system audit, vendor managementSelecting the right DevOps partner is critical for accelerating software delivery, reducing costs, and maintaining reliability. This guide outlines a four-phase approach — from internal preparation to final agreements — to help ...
7 Proven Benefits of DevOps Implementation in Modern Software Development
Albert Hilton | | CI/CD, containerization, continuous delivery, continuous integration, devops automation, DevOps benefits, devops best practices, DevOps collaboration, DevOps cost savings, devops culture, DevOps efficiency, devops implementation, DevOps Innovation, DevOps reliability, DevOps scalability, docker, enterprise devops, infrastructure as code, kubernetes, modern software developmentDiscover the top 7 proven benefits of DevOps implementation in modern software development, from faster delivery and automation to scalability, collaboration, and cost efficiency—helping teams innovate and stay ahead in today’s competitive ...
End-to-End Visibility: The Role of Observability in Frontend and Backend Systems
Have disappointing slowdowns, elusive bugs, and misleading outages ever affected your digital system, even when traditional monitoring shows "all green"? Today's users demand spontaneous experiences, but DevOps, SRE and software teams often ...
A Modern Approach to Multi-Signal Optimization
Nikhil Kurup | | application performance monitoring, ArgoCD, CI/CD observability, cloud cost optimization, cloud operations, cloud waste reduction, cloud-native operations, CloudNativeCon Atlanta, datadog, devops automation, grafana, incident response, KubeCon 2025, Kubernetes monitoring, metric classification, MTTR reduction, multi-signal optimization, observability, p99 latency, pod CPU metrics, predictive monitoring, proactive observability, Prometheus, root cause analysis, signal correlation, signal hierarchy, SRE best practices, telemetry correlationHow multi-signal optimization and metric classification help DevOps and turn telemetry chaos into actionable intelligence ...
Patch Management is Essential for Securing DevOps
Alexander Williams | | automated patching, automated rollbacks, canary deployments, CI gating, CI/CD pipelines, cloud-native security, continuous delivery security, CVE scanning, devops best practices, devops security, devsecops, feature flags, mean time to patch (MTTP), observability in devops, patch automation tools, patch management, runtime mitigation, SBoM, security automation, software bill of materials, software vulnerabilities, supply chain security, vulnerability discovery, vulnerability management, zero-day defense, zero-day exploitsZero-day exploits don’t wait for anyone and are one of the main reasons why the cybersecurity market will be worth a whopping $256 billion worldwide. In the current threat landscape, attackers weaponize ...
How Observability Improves User Experience and Digital Performance
Neel Shah | | Airbnb observability, application monitoring, Clepher, cloud-native observability, cloud-native platforms, customer retention, DevOps observability, digital experience monitoring, digital performance, digital reliability, grafana, incident detection, microservices observability, MTTR reduction, observability, observability strategy, observability tools, performance optimization, proactive performance, real-time monitoring, shift-left practices, Slack uptime, Spotify performance monitoring, Telemetry data, uptime monitoring, user experience, user satisfactionDiscover how observability transforms user experience by improving performance, reliability, and customer satisfaction. Learn how leading companies like Airbnb, Spotify, and Slack use observability tools such as Grafana and Clepher to boost ...
From Cloud to Cognitive Infrastructure: How AI is Redefining the Next Frontier of SRE
Akash Thakur | | AI in DevOps, AI infrastructure, AI reliability, AI workloads, AI-driven SRE, cloud observability, cloud-native infrastructure, devops, GPU clusters, GPU utilization, hybrid AI systems, hybrid cloud, hybrid computing, intelligent operations, multi-cloud operations, site reliability engineering, SRE evolutionAs organizations embrace artificial intelligence (AI) workloads alongside traditional cloud systems, site reliability engineering (SRE) must evolve to manage an entirely new class of infrastructure — intelligent, hybrid and graphics processing unit ...
Rewriting the Rules of Software Quality: Why Agentic QA is the Future CIOs Must Champion
Chirag Gandhi | | adaptive testing, agentic QA, agentic systems in DevOps, AI DevSecOps, AI for CIOs, AI Governance, AI in enterprise software, AI in software testing, AI quality automation, AI software lifecycle, AI software quality, AI-driven QA, AI-enabled QA frameworks, autonomous QA systems, autonomous quality assurance, continuous testing with AI, Enterprise AI, ethical AI testing, generative AI QA, intelligent agents, QA automationDiscover how Agentic QA is transforming enterprise software testing with autonomous AI systems that embed quality into every stage of development ...
Don’t Reinvent the Wheel: A Developer’s Guide to AI Reusability
Daniel Helfand | | agentic AI, ai, AI in software engineering, AI model versioning, AI platform engineering, AI reusability, AI reuse framework, AI workflow management, AI workflow standardization, AI-driven developer productivity, CI/CD AI, devsecops automation, reusable AI workflows, software catalog for AIEvery great innovation brings on new challenges, and AI is no exception. As technology leaders instruct their workforces to default to using AI in their day-to-day tasks and as AI workflows become ...
Breaking Free from Rising Observability Costs with Open Cost-Efficient Architectures
Breaking Free from Observability Rising Costs and Vendor Lock-In Observability is meant to give teams confidence when things go wrong. Instead, once systems scale, it often turns into one of the largest ...
OpenTelemetry and AI are Unlocking Logs as the Essential Signal for “Why”
Bahubali Shetti | | agentic AI, AI incident response, AI observability, AI-driven observability, cloud native telemetry, cross-signal correlation, ECS, Elastic Common Schema, KubeCon + CNC NA 2025, LLM log parsing, log analysis, log normalization, MELT stack, OpenTelemetry, OTel logs, OTel semantics, OTLP, root cause analysis, schema standardization, SRE workflows, telemetry pipelinesLogs reveal the “why” behind failures. Learn how OpenTelemetry and AI transform raw log data into structured, actionable insights for modern observability ...
