Building the operational intelligence layer for modern engineering teams
Opsphere was created to help DevOps, SRE and platform teams understand complex production environments across the tools they already use — without replacing those systems or forcing engineers into another dashboard.
We connect infrastructure, observability, deployment, code and edge systems into a structured layer for evidence-backed investigations and reusable operational context.
OUR STORY
20+ years of experience. One new way to operate.
Opsphere began in September 2025, but the experience behind it was built over more than two decades.
Our background spans over 20 years in technology, including more than 10 years designing, operating, and securing cloud infrastructure and DevOps platforms — and the last 4 years applying artificial intelligence to real engineering and operational challenges.
We have worked inside complex environments where reliability depends on dozens of platforms, hundreds of services, multiple cloud providers, fragmented signals, and engineering teams expected to diagnose problems under pressure.
Opsphere is a new product built on years of hands-on experience operating the systems it is designed to understand.
We built Opsphere because modern engineering teams do not need another isolated dashboard or another place to copy all their telemetry. They need a structured operational intelligence layer that connects their existing tools, understands the context of their environments, and turns technical complexity into clear, actionable answers.
Our conviction is simple: the knowledge of an experienced DevOps or SRE engineer should not stay trapped in individual tools, scripts, or people. It should be available across the organisation — when it matters most.
Our journey so far
September 2025 Opsphere begins
Opsphere was born from a real operational challenge: engineering teams had powerful tools, but no simple way to connect their signals, understand their environments, and act with confidence.
Q4 2025 Building the operational foundation
We created the first integrations across cloud, Kubernetes, observability, deployments, security, and networking — designed from the outset for safe, read-only access to real environments.
Q1 2026 From connected tools to operational intelligence
Opsphere evolved beyond individual integrations, combining signals across platforms to investigate incidents, assess environment health, analyse errors, and provide clear operational answers.
Q2 2026 320+ capabilities across 24+ integrations
We expanded Opsphere into a broad operational layer covering AWS, Kubernetes, Datadog, Prometheus, Sentry, PagerDuty, Slack, Algolia, Railway, Vercel, Cloudflare, Akamai, GitHub, GitLab, Bitbucket, SonarQube, Jira, Azure, and more.
2026 Sharing the work with the community
Opsphere is being shared with engineering leaders, partners, and the wider technology community at events such as AI Congress Barcelona, where we discuss operational intelligence for modern infrastructure teams.
OUR PRINCIPLES
Operational intelligence, not another data silo
Opsphere is designed around three principles. Operational data stays in the systems that own it. Operational context lives in Opsphere.
Connect existing systems
Work with the infrastructure and engineering platforms teams already use — cloud, Kubernetes, observability, deployments, code and edge — instead of asking them to move their data.
Investigate with evidence
Structure operational investigations around hypotheses, real evidence, calculated confidence, timelines and verification. Opsphere is model-agnostic: AI helps with reasoning and synthesis, but conclusions stay grounded in operational evidence, not a model's confidence alone.
Preserve reusable context
Maintain relevant operational relationships and investigation knowledge so future troubleshooting can start with more understanding instead of from zero.
TRUST
Built for production environments
Read-only by default
Opsphere inspects, correlates, investigates and recommends without silently changing production.
Tenant isolated
Operational context and investigations stay scoped to the correct tenant and account.
Environment aware
Context is retrieved for the specific environment being investigated, not loaded indiscriminately.
Evidence-backed
Important conclusions are tied to real operational evidence, with confidence derived from that evidence.
Source systems remain authoritative
Opsphere does not replace the systems that own infrastructure, telemetry, deployments or code.
THE TEAM
Built by people who've lived your problems
We come from DevOps, SRE, cloud infrastructure, platform engineering and security backgrounds. We know what a 3am incident feels like, and we built the operational layer we kept wishing we had.
José Julián Ariza
CEO & CTO
Former Cloud Architect and DevSecOps leader with 20+ years of experience designing, building, and operating distributed systems at scale.
Having worked across cloud platforms, Kubernetes, observability, automation, and AI, he repeatedly faced the same challenge: critical operational knowledge was scattered across dozens of tools and teams.
He founded Opsphere to solve that problem, combining Operational Intelligence, DevSecOps, and AI into a single platform that helps engineering organizations understand, operate, and evolve complex systems.
Jesús Hernández Moreno
AI Senior Developer
Product-focused AI engineer with 10+ years building software that helps teams make sense of complex operational data.
He works on how Opsphere's AI capabilities are implemented and delivered in the product — turning platform intelligence into practical, reliable experiences for engineering teams.
Jesús partners closely with platform and product engineering to design retrieval flows, guardrails, and tool interfaces that keep AI-assisted operations accurate under real production constraints.
Luis Iglesias
Web Designer
Luis brings a sharp eye for visual systems and UI craft to Opsphere. With a background in web design and digital product interfaces, he shapes the look and feel of everything users see — from landing pages to component libraries.
He works at the intersection of brand, usability, and engineering, ensuring Opsphere's platform is as compelling to use as it is powerful. His work keeps the public site, marketing surfaces, and product UI coherent as the platform evolves.
Operational intelligence, built on real experience
0+
Operational capabilities
0+
Cloud, DevOps and observability integrations
0+
Years of cloud infrastructure and DevOps experience
0
Years applying AI to engineering operations
GET STARTED
See how Opsphere fits into your operational stack
Whether you are evaluating Opsphere for DevOps, SRE, platform engineering or AI-assisted operational workflows, we can walk through how it connects to your existing stack and where it adds operational context.