Paul Nashawaty

Author: Paul Nashawaty

Author

  • Paul Nashawaty

    Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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Achieving Reliable Releases in the Era of Cloud-Native Delivery
Application Development, DevOps, Kubernetes, Open Source, Platform Engineering, Software Development, WebAssembly (Wasm)

Achieving Reliable Releases in the Era of Cloud-Native Delivery

by Efficiently Connected, Paul Nashawaty, Samantha Weston 0
New research from theCUBE Research reveals how enterprises manage release reliability, automation maturity, observability, and deployment practices.... Read more.
Dynatrace Perform 2026 Ignites a New Era of Autonomous Intelligence and Innovation
AI, Application Development, Dynatrace Perform 2026, Events, Observability

Dynatrace Perform 2026 Ignites a New Era of Autonomous Intelligence and Innovation

by Paul Nashawaty 0
Dynatrace Perform 2026 reframes observability as a control plane for trusted agentic AI, autonomous operations, and cloud-native systems.... Read more.
Scaling Cloud-Native Applications withCI/CD, AI, and Secure Developer Tooling
Application Development, DevOps, Kubernetes, Open Source, Platform Engineering, Software Development, Virtualization

Scaling Cloud-Native Applications with CI/CD, AI, and Secure Developer Tooling

by Efficiently Connected, Paul Nashawaty, Samantha Weston 0
New research from theCUBE Research reveals how enterprises are evolving Day 0 practices across CI/CD, cloud-native architecture, AI observability, and developer... Read more.
Measuring What Matters as Observability Expands Into the SDLC
Application Development, DevOps, Dynatrace Perform 2026, Events, Observability, Platform Engineering

Measuring What Matters as Observability Expands Into the SDLC

by Paul Nashawaty 0
Ahead of Dynatrace Perform 2026, observability shifts toward ROI, adoption metrics, and cost-aware engineering across the SDLC.... Read more.
Dynatrace Perform 2026 Keynote: Observability Becomes the Control Plane for Reliable AI and Autonomous Ops
AI, Application Development, Dynatrace Perform 2026, Events, Observability

Dynatrace Perform 2026 Keynote: Observability Becomes the Control Plane for Reliable AI and Autonomous Ops

by Paul Nashawaty 0
Dynatrace Perform 2026 positions observability as a control plane for reliable AI, trusted automation, and autonomous operations.... Read more.
Object Storage Becomes the Backbone of Media Archives
Application Development, Infrastructure, Media and Entertainment

Object Storage Becomes the Backbone of Media Archives

by Paul Nashawaty 0
Telestream and Quantum signal object storage’s role as the backbone for petabyte-scale, long-term media archives.... Read more.
Disaster Recovery, Autonomous Chaos, and the Rise of Unified SRE at Chaos Carnival 2026
Application Development, Chaos Carnival, DevOps, Events, Platform Engineering

Disaster Recovery, Autonomous Chaos, and the Rise of Unified SRE at Chaos Carnival 2026

by Paul Nashawaty 0
Chaos Carnival 2026 shows disaster recovery, autonomous chaos, and SRE converging into a unified, platform-centric resilience model.... Read more.
How Resilience Testing Is Becoming an SDLC Discipline at Chaos Carnival 2026
Application Development, Chaos Carnival, DevOps, Events, Platform Engineering

How Resilience Testing Is Becoming an SDLC Discipline at Chaos Carnival 2026

by Paul Nashawaty 0
Chaos Carnival 2026 shows resilience testing evolving from chaos engineering into a core SDLC discipline spanning reliability and AI systems.... Read more.