Everything our engineers know about running DevOps well — CI/CD, automation, metrics that matter, security, and the incident response practices that keep releases boring. Articles and buyer guides, in one place.
Every DevOps article we've published — lifecycle, automation, metrics, security, and incident response. Newest first.
Healthcare teams still ship quarterly because compliance feels like it requires slow releases. Here is how to build CI/CD pipelines that satisfy HIPAA auditors…
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The DevOps lifecycle has 7 stages, but most teams only automate 2 or 3 of them. Here is what each stage actually involves, which…
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Explore DevOps best practices for CI/CD, automation, cloud infrastructure, collaboration, monitoring, and scalable software delivery.
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Explore the key benefits of DevOps, including faster delivery, automation, scalability, collaboration, reliability, and cloud efficiency.
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Explore DevOps security best practices for CI/CD, cloud infrastructure, access control, monitoring, and secure software delivery workflows.
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Most DevOps teams track deployment frequency and call it done. Here are the DevOps metrics that actually matter, the DevOps monitoring tools to measure…
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Discover hidden bottlenecks affecting MTTR and learn why tooling alone cannot improve incident response, reliability, and recovery speed.
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In today’s fast-paced digital world, organizations are racing to deliver applications and services with speed, scalability, and reliability. DevOps has emerged as a vital…
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Before you hire a DevOps engineer, check you don't actually need a platform. What the role is in 2026, what it costs, how to…
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A scope-of-work teardown of DevOps managed services: what's always in scope, what's quietly excluded, how providers price it, and the four contract clauses to…
Read moreWeighing whether to build in-house or bring in a DevOps consulting partner? Start here.
Explore top DevOps consulting companies helping businesses improve automation, Kubernetes, CI/CD, scalability, and cloud operations.
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Discover top DevOps consulting companies helping mid-scale businesses improve cloud automation, CI/CD, scalability, and infrastructure reliability.
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GitOps and DevOps aren't competing approaches. DevOps is a culture spanning the delivery lifecycle; GitOps is an operational model for deployment. The distinction, the…
Read moreNew to the topic? These jump straight to the glossary entry that defines each concept in plain language.
From CI/CD pipelines to incident response, our senior engineers build and run DevOps with you — not from a slide deck.
Everything our engineers know about running cloud environments well — migration, modernization, managed services, and the security work that keeps it all defensible. Articles, comparisons, and buyer guides, in one place.
Every cloud management article we've published — migration, modernization, managed services, and security. Newest first.
73% of organizations run hybrid cloud, but most still can't see across it. A practical guide to unified visibility: telemetry architecture, egress costs, and…
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The healthcare cloud computing market hit $63 billion in 2025. Most providers will sign a BAA. Fewer will actually help you stay compliant. Here…
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Learn what cloud consulting is, how it supports cloud migration, scalability, DevOps automation, security, and infrastructure optimization.
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Learn what managed cloud services are, how they improve scalability and security, and why businesses use them for modern cloud operations.
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Learn how managed cloud services improve scalability, security, infrastructure management, and operational efficiency for modern businesses.
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Managed services help modern businesses prevent downtime, strengthen security, and manage complex cloud and Kubernetes environments through proactive monitoring and expert support.
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Discover a practical cloud migration checklist covering planning, security, infrastructure, scalability, and risk management for migration success.
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A clear guide to cloud migration costs with frameworks, examples, and tips to avoid bill shock. Learn how Obsium helps reduce costs at every…
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Real budget ranges for leaving VMware, from assessment through migration to post-cutover. Team sizes, timelines, consulting rates, and the hidden costs nobody puts in…
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Broadcom's VMware price hikes are forcing mid-market companies to act. Here's a practical migration playbook for moving from VMware to Kubernetes, with real timelines,…
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Learn how lift-and-shift cloud migrations create platform debt and impact scalability, operations, reliability, and long-term cloud efficiency.
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Legacy apps crack under Black Friday traffic. Modern architectures don't. A straight take on what application modernization actually means, why teams do it, and…
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70% of cloud transformations fail to meet their goals. Here is what cloud transformation services actually include, how they differ from a simple migration,…
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Learn about data security in cloud computing, including common risks, compliance, encryption, access control, and protection strategies.
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48,000+ new CVEs in 2025, median time to exploit under 5 days, and most teams take 88 days to patch. Here is how cloud…
Read moreExplore DevOps security best practices for CI/CD, cloud infrastructure, access control, monitoring, and secure software delivery workflows.
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Discover why Obsium is trusted by modern engineering teams. Purpose-built for Kubernetes and cloud-native systems, our observability platform delivers results.
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What a cloud security assessment covers, the four delivery models, and the checks that separate a real review from a report nobody reads.
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Cloud cost optimization services explained: the four delivery models, why "we'll cut your bill 30%" offers are structured that way, and the checks that…
Read moreWeighing VMware alternatives, or picking a managed services or consulting partner? Start here.
Explore top cloud consulting firms helping businesses improve cloud migration, scalability, DevOps automation, and infrastructure management.
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Explore the best Microsoft 365 managed service providers for mid-market firms in 2026 to improve security, productivity, and cost control.
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Explore why organizations are moving beyond VMware and adopting modern cloud, Kubernetes, and platform engineering solutions.
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Ten AWS consulting companies compared for 2026 — verified partner status, current ownership, and three firms on other lists you can no longer hire.
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Ten US Azure consulting firms compared for 2026 — what each is good at, current ownership, and which widely-listed firms no longer exist on…
Read moreNew to the topic? These jump straight to the glossary entry that defines each concept in plain language.
From migration off VMware to hardening what you already run, our senior engineers design, migrate, secure, and operate cloud infrastructure with you — not from a slide deck.
Everything our engineers know about running Kubernetes in production — architecture, networking, observability, cost, backup, and the trade-offs behind every decision. Guides, comparisons, and real-world proof, in one place.
Every Kubernetes article we've published — architecture, networking, observability, cost, backup, and more. Newest first.
Learn Kubernetes management best practices for automation, scalability, monitoring, security, and cloud infrastructure operations.
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Kubernetes networking is the #1 confusion topic on Reddit. This post explains Services, Ingress, load balancing, network policies, and the new Gateway API in…
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Kubernetes does not back up your data by default. Here is what you need to protect (etcd, persistent volumes, configs, secrets), which tools handle…
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Serverless Kubernetes removes node management but adds blind spots. Here is what EKS Fargate, GKE Autopilot, and AKS Virtual Nodes actually give you, what…
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A practical guide to Kubernetes observability covering metrics, logs, and traces, plus expert insights, common challenges, best practices, and tools to help teams improve…
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Learn how unified observability improves Kubernetes monitoring, logging, tracing, performance visibility, and incident response across platforms.
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Most Kubernetes teams get thousands of alerts a week and only 3% need action. Here is how to fix your alerting in 5 days…
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Kubernetes clusters average 8% CPU utilization. CPU overprovisioning hit 69% in 2026. Here is how to find the waste, measure it, and fix it…
Read moreBroadcom's VMware price hikes are forcing mid-market companies to act. Here's a practical migration playbook for moving from VMware to Kubernetes, with real timelines,…
Read moreDeciding whether to adopt K8s, which managed provider to pick, or who to bring in? Start here.
Kubernetes is not the only way to run containers. Here is an honest comparison of Docker Compose, Docker Swarm, Nomad, ECS, and bare metal…
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Explore top Kubernetes consulting companies and compare expertise in cloud infrastructure, DevOps, scalability, and platform engineering.
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Explore top managed Kubernetes providers and compare scalability, reliability, cloud integration, and platform management features.
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Compare Kubernetes and Docker, understand their roles in container management, scalability, orchestration, and modern cloud infrastructure.
Read moreNew to the topic? These jump straight to the glossary entry that defines each concept in plain language.
From first cluster to air-gapped production, our senior engineers design, migrate, secure, and run Kubernetes with you — not from a slide deck.
Kubernetes consulting for teams who need clusters that survive production, not just the demo. Obsium designs, secures, migrates, and operates Kubernetes in cloud, on-prem, hybrid, and fully air-gapped environments — with observability wired in from day one and everything handed over in your repo, in plain English.
A lot of Kubernetes consulting produces the same artifact: an over-engineered cluster with eleven CNCF tools nobody asked for, a slide deck, and an invoice. Six months later the one engineer who understood the service mesh has left, upgrades are two versions behind, and every deploy is a small act of courage.
We build the opposite. Every component in your cluster has to earn its place against your actual workloads, your compliance regime, and your team’s real operating capacity. 100% open source, so there’s no licence trap and no lock-in — the platform is fully yours. And because we work in environments most consultancies won’t touch — on-prem, hybrid, and fully air-gapped — the design holds up even where there’s no managed control plane to lean on.
We build alongside your engineers, not in a sealed room. The Terraform, the Helm charts, the runbooks, and the decision log stay in your repo. And we stick around for the part that matters: months three to twelve, when the cluster has to survive real traffic, real upgrades, and a real audit.
"We worked closely with Obsium on an application modernization project for a US-based healthcare customer. Their team successfully migrated the platform to AWS, implemented Kubernetes, and deployed a robust observability stack.
Obsium demonstrated deep expertise in cloud-native technologies and delivered the engagement with professionalism and technical excellence.
We highly recommend Obsium for organizations seeking modern cloud, Kubernetes, and observability solutions."
Obsium has been our trusted partner whenever we need Cloud, DevOps, and Site Reliability Engineering (SRE) resources. Their team brings deep technical expertise and consistently delivers high-quality professionals who meet client expectations.
The resources provided by Obsium are well-vetted, technically sound, and interview-ready, enabling us to fulfil our client requirements quickly and confidently.
We highly recommend Obsium to organizations seeking reliable Cloud, DevOps, and SRE talent, especially when there is a need to onboard skilled resources within short timelines.
"Obsium was our preferred partner for implementing an MLOps platform for a Fortune 500 customer in the US. Their team brought strong technical expertise, practical implementation experience, and a proactive approach to the engagement.
They demonstrated excellent understanding of modern cloud, DevOps, and MLOps ecosystems, and executed the project with professionalism and reliability.
We highly recommend Obsium to organizations seeking a dependable partner for DevOps and MLOps initiatives."
"Obsium team quickly understands project requirements and brings strong technical depth to every engagement.
What stands out is their practical approach to solving real infrastructure and operational challenges while maintaining a high standard of professionalism.
We value our collaboration with Obsium and would confidently recommend them to organizations looking for experienced cloud and DevOps expertise."
"Obsium team quickly understands project requirements and brings strong technical depth to every engagement.
What stands out is their practical approach to solving real infrastructure and operational challenges while maintaining a high standard of professionalism.
We value our collaboration with Obsium and would confidently recommend them to organizations looking for experienced cloud and DevOps expertise."
We’ve worked with Obsium on a few client projects where cloud and DevOps expertise was needed alongside our security work. Their team has good technical depth and has been professional to collaborate with.
A Kubernetes consultant designs, builds, secures, and operates container platforms so your team doesn’t learn production lessons the expensive way. In practice that means cluster architecture and provisioning, workload migration, security hardening (RBAC, network policies, secrets), GitOps and CI/CD pipelines, observability, and cost optimization — plus training so your engineers can run the platform without a consultant on retainer forever.
We scope by outcome, not billable hours. A cluster audit with a written remediation plan is one fixed range; a greenfield production cluster or a migration is another; ongoing managed Kubernetes runs as a monthly retainer. After a free 30-minute scoping call you get a written fixed range — not a time-and-materials quote that creeps for six months. Most engagements run 6 to 14 weeks.
Managed Kubernetes is the right default for most cloud teams: the provider runs the control plane and you keep your engineers focused on workloads. Self-managed makes sense when you’re on-prem or air-gapped, need specific control-plane tuning, or have data-residency rules a cloud provider can’t satisfy. We run both daily and will tell you plainly which fits — including when the honest answer is the boring managed option.
Yes — it’s one of the reasons teams come to us. We build fully disconnected clusters with offline image registries, private certificate authorities, air-gapped upgrade pipelines, and observability that never phones home. The same applies to regulated on-prem and hybrid estates under SOC 2, HIPAA, or ISO 27001, where controls are mapped and verified before workloads land.
Honestly, not always — and we’ll tell you in the first call. If you run a handful of services with predictable load, a simpler platform may cost less and page nobody. Kubernetes earns its complexity when you have many services, multiple teams shipping independently, real scaling requirements, or hybrid and on-prem constraints. If the audit says you don’t need it, you’ll have saved a year of platform work for the price of a conversation.
FinOps consultation that gets your infrastructure ready, not just your dashboard. We audit your cloud spend across AWS, Azure, GCP, and Kubernetes, fix the tagging and ownership gaps that make cost data useless, and advise on the FinOps tooling that actually fits your environment. We don’t sell tools. We get you ready for them.
Many FinOps initiatives start with a platform. However, tools deliver the most value when the underlying cost data, ownership, and governance processes are already in place. At Obsium, we focus on building those foundations first. We help organizations improve tagging, cost allocation, ownership, and Kubernetes cost visibility, then provide independent guidance on FinOps tooling when it makes sense for their environment.
"We worked closely with Obsium on an application modernization project for a US-based healthcare customer. Their team successfully migrated the platform to AWS, implemented Kubernetes, and deployed a robust observability stack.
Obsium demonstrated deep expertise in cloud-native technologies and delivered the engagement with professionalism and technical excellence.
We highly recommend Obsium for organizations seeking modern cloud, Kubernetes, and observability solutions."
Obsium has been our trusted partner whenever we need Cloud, DevOps, and Site Reliability Engineering (SRE) resources. Their team brings deep technical expertise and consistently delivers high-quality professionals who meet client expectations.
The resources provided by Obsium are well-vetted, technically sound, and interview-ready, enabling us to fulfil our client requirements quickly and confidently.
We highly recommend Obsium to organizations seeking reliable Cloud, DevOps, and SRE talent, especially when there is a need to onboard skilled resources within short timelines.
"Obsium was our preferred partner for implementing an MLOps platform for a Fortune 500 customer in the US. Their team brought strong technical expertise, practical implementation experience, and a proactive approach to the engagement.
They demonstrated excellent understanding of modern cloud, DevOps, and MLOps ecosystems, and executed the project with professionalism and reliability.
We highly recommend Obsium to organizations seeking a dependable partner for DevOps and MLOps initiatives."
"Obsium team quickly understands project requirements and brings strong technical depth to every engagement.
What stands out is their practical approach to solving real infrastructure and operational challenges while maintaining a high standard of professionalism.
We value our collaboration with Obsium and would confidently recommend them to organizations looking for experienced cloud and DevOps expertise."
"Obsium team quickly understands project requirements and brings strong technical depth to every engagement.
What stands out is their practical approach to solving real infrastructure and operational challenges while maintaining a high standard of professionalism.
We value our collaboration with Obsium and would confidently recommend them to organizations looking for experienced cloud and DevOps expertise."
We’ve worked with Obsium on a few client projects where cloud and DevOps expertise was needed alongside our security work. Their team has good technical depth and has been professional to collaborate with.
FinOps consultation is the advisory and infrastructure work — tagging, cost allocation, ownership mapping — that makes cost data accurate and usable. FinOps tooling is the software that visualizes and reports on that data. A tool without the underlying infrastructure work produces inaccurate or unusable reports. Obsium provides the consultation and readiness work, and advises on tooling without selling or operating a platform.
No. Obsium does not sell or require any specific tool. We assess your infrastructure, fix tagging and cost ownership gaps, and recommend tooling only if and when it adds genuine value at your scale. Many organizations get most of the value they need through process and infrastructure changes alone.
Yes. Obsium provides namespace and workload-level cost mapping for EKS, AKS, and GKE clusters. Most cloud billing tools and even some FinOps platforms show a Kubernetes cluster as a single line item. We structure the underlying data so cost can be broken down to the team or workload responsible for it.
Most engagements run 6 to 10 weeks for the assessment, tagging, and ownership setup phase. Timeline depends on the number of accounts, clusters, and existing tagging coverage. A written timeline is provided after the initial audit, based on your specific environment.
You receive full documentation of tagging standards, cost ownership models, and review processes your team can run independently. Most clients either manage cost reviews internally using this documentation or continue with Obsium on a periodic advisory basis.
A slow checkout or an outage during a sale is revenue you don't get back. Obsium helps e-commerce and D2C teams run infrastructure that absorbs peak traffic, stays fast, and doesn't cost a fortune the rest of the year, on Kubernetes and AWS, Azure, and GCP.
When the store is the business, every second of slowness or downtime has a number attached. Here is what teams usually bring to us.
Every minute your store is down during a launch or a sale is revenue you can't recover, and customers who don't come back.
A product page or checkout that lags loses sales. Performance and revenue are the same line.
A campaign that lands, a drop, a press feature: demand arrives in minutes, and infrastructure that was fine yesterday falls over.
Provisioning for Black Friday and running it in February burns budget on servers sitting idle.
Your engineers build the shopping experience. Running autoscaling Kubernetes under it is a separate job that pulls them off the product.
Most stores we work with arrive with two or three of these at once. We help close them without pulling your team off the product.
We map our services to the parts of a store that decide whether a busy day goes well.
Error budgets, incident response, and on-call practices that keep your store online through launches, sales, and traffic spikes.
Explore SREMetrics, logs, and traces across your stack, so you catch slow checkouts, cart failures, and errors before customers and revenue feel them.
Explore observabilityRun your storefront on Kubernetes that scales out for peak traffic and back down afterwards, so you pay for what you actually use.
Explore KubernetesInfrastructure on AWS, Azure, and GCP built for bursty retail traffic, with spend kept under control across peak and quiet periods.
Explore cloudCI/CD pipelines so you ship storefront changes quickly and roll back safely, even in the middle of a busy season.
Explore DevOpsInternal developer platforms and golden paths so your store and product teams ship without waiting on ops.
Explore platform engineeringMost stores run fine on a normal Tuesday. The question is what happens when a launch, a sale, or a press hit triples your traffic in ten minutes. We get the infrastructure ready before the traffic shows up: load testing to find the breaking point, autoscaling proven ahead of the day rather than during it, capacity and cost planning, incident runbooks and on-call cover for the event, caching and CDN tuning, and observability so you see a problem in seconds instead of from your customers.
// We get the infrastructure ready before the traffic shows up.
We worked closely with Obsium on an application modernization project for a US-based healthcare customer. Their team successfully migrated the platform to AWS, implemented Kubernetes, and deployed a robust observability stack.
Obsium demonstrated deep expertise in cloud-native technologies and delivered the engagement with professionalism and technical excellence.
We highly recommend Obsium for organizations seeking modern cloud, Kubernetes, and observability solutions.
We start by making your store visible, so slow pages, cart failures, and capacity limits surface early instead of during your biggest sale.
We run large-scale, multi-tenant Kubernetes, the substrate that absorbs traffic spikes and scales back down, so peak load is familiar ground.
The person advising you runs the implementation. Nothing gets lost in a handoff to a junior team.
A shared Slack channel, regular syncs, flexible hours, and no long lock-in. You add capacity without adding headcount.
A short, no-pressure call to understand your setup, your goals, and where things are getting in the way.
You get a clear scope: the approach, trade-offs, and first steps, shaped around your priorities and how you like to work.
We match you with the senior engineer right for the job, and you confirm the fit before any work begins.
Your engineer plugs into your team through a shared channel and regular syncs, does the hands-on work, and keeps you in the loop.
Yes. We build resilient cloud and Kubernetes architectures that scale smoothly and recover fast under real production load, backed by 24/7 managed support and incident response.
Yes. We help reduce waste, control spend, and maximise cloud ROI while keeping performance, stability, and reliability intact.
We work across AWS, Azure, and GCP, and design cloud-agnostic, portable architectures. We also handle hybrid setups that connect on-premises and cloud.
Both. We handle new builds and migrations with assessment, planning, execution, and validation. Where you already have a setup, we integrate with it and improve it rather than replacing things without good reason.
Yes. We integrate with the tools and workflows you already use and improve them, without unnecessary replacements. We can also embed engineers and dedicated SRE support to work alongside your team.
Start with a conversation. Request a demo or get in touch at obsium.io/contact-us, and we will scope the work to your needs and share a quote.
Tell us where your store strains, whether that's downtime during sales, slow pages, traffic spikes, or a cloud bill that climbs all year. The first conversation is free, and no hour is billed before you have seen the plan.
Book a free consultationTraining jobs, inference endpoints, and GPU clusters have their own failure modes and their own bills. Obsium helps AI and ML teams run reliable, observable, cost-controlled infrastructure on Kubernetes and AWS, Azure, and GCP, so your researchers ship models instead of fighting infrastructure.
Moving from a notebook to production AI changes the failure modes and the economics. Here is what teams usually bring to us.
Idle GPUs, oversized instances, and training jobs that overrun quietly turn into a cloud bill nobody can explain.
Workloads that ran fine on one node fall over on a cluster, or queue for GPUs that aren't there when you need them.
A model that's accurate is no use if the endpoint is slow or down when real users hit it.
When a training run fails at hour nine or latency creeps up in production, you find out late because the pipeline isn't instrumented.
Your team ships models. Getting them onto reliable, reproducible infrastructure is a separate job that slows everyone down.
Most AI teams arrive with two or three of these at once. We help close them without pulling your researchers into infrastructure work.
We map our services to the parts of AI infrastructure that carry the most cost and risk.
Metrics, logs, and traces across your stack, so you see GPU utilization, failing training runs, and inference latency before they cost you a run or a customer.
Explore observabilityError budgets, incident response, and on-call practices that keep inference endpoints and long training jobs running through load and node loss.
Explore SRERun GPU training and serving on Kubernetes with the autoscaling, scheduling, and isolation that AI workloads need.
Explore KubernetesInfrastructure on AWS, Azure, and GCP for AI, with GPU capacity and spend kept under control instead of climbing unchecked.
Explore cloudCI/CD pipelines and infrastructure as code, so model builds and deploys are repeatable rather than bespoke.
Explore DevOpsInternal developer platforms and golden paths so data scientists launch training and ship models without waiting on ops.
Explore platform engineeringYour models, weights, and training data are the crown jewels, and they often run on shared GPU clusters with third-party tooling. We build infrastructure that keeps them isolated and controlled: private networking, least-privilege access, secrets management, audit logging, and tenant separation enforced at the infrastructure layer. For AI SaaS, that also covers the engineering side of SOC 2.
// Infrastructure aligned to the controls above. We support the engineering side of security, not the certification itself.
We worked closely with Obsium on an application modernization project for a US-based healthcare customer. Their team successfully migrated the platform to AWS, implemented Kubernetes, and deployed a robust observability stack.
Obsium demonstrated deep expertise in cloud-native technologies and delivered the engagement with professionalism and technical excellence.
We highly recommend Obsium for organizations seeking modern cloud, Kubernetes, and observability solutions.
We start by making your system visible, so GPU waste, failing runs, and latency surface early instead of after they burn compute or customers.
We run large-scale, multi-tenant Kubernetes, the substrate AI training and serving workloads depend on, so scaling GPU work on clusters is familiar ground.
The person advising you runs the implementation. Nothing gets lost in a handoff to a junior team.
A shared Slack channel, regular syncs, flexible hours, and no long lock-in. You add capacity without adding headcount.
A short, no-pressure call to understand your setup, your goals, and where things are getting in the way.
You get a clear scope: the approach, trade-offs, and first steps, shaped around your priorities and how you like to work.
We match you with the senior engineer right for the job, and you confirm the fit before any work begins.
Your engineer plugs into your team through a shared channel and regular syncs, does the hands-on work, and keeps you in the loop.
Yes. We implemented an MLOps platform for a Fortune 500 customer in the US, covering the cloud, DevOps, and MLOps setup around their models.
Yes. We build resilient cloud and Kubernetes architectures that scale smoothly and recover fast under real production load, backed by 24/7 managed support and incident response.
We work across AWS, Azure, and GCP, and design cloud-agnostic, portable architectures. We also handle hybrid setups that connect on-premises and cloud.
We build governance and compliance controls aligned with recognised standards, with visibility and audit readiness, and bake security into the architecture from the start. Sensitive workloads can run behind private networks with no public exposure. Models, data, and workloads can be isolated on private networks.
Yes. We integrate with the tools and workflows you already use and improve them, without unnecessary replacements. We can also embed engineers and dedicated SRE support to work alongside your team.
Start with a conversation. Request a demo or get in touch at obsium.io/contact-us, and we will scope the work to your needs and share a quote.
Tell us where your AI infrastructure is straining, whether that's GPU spend, a training pipeline that keeps breaking, or inference that buckles under load. The first conversation is free, and no hour is billed before you have seen the plan.
Book a free consultationWhen your systems carry patient data and clinical workflows, downtime and a privacy gap are not options. Obsium helps healthtech teams run secure, observable infrastructure on AWS, Azure, and Kubernetes that holds up to real load and to HIPAA audits.
When patient data and care delivery run on your platform, the stakes are different from a typical SaaS. Here is what teams usually bring to us.
When a portal, a telehealth session, or a clinical workflow goes down, the impact lands on patients and providers, not just a dashboard.
HIPAA and SOC 2 reviews want encryption, access controls, audit logs, and monitoring you can show, not just describe.
Protected health information is a constant target, and a misconfigured cluster or an over-permissive policy is exactly the gap that turns into a reportable incident.
An enrollment period, a telehealth surge, or a new provider rollout can overwhelm infrastructure that was fine last week.
Your engineers know the domain. Running HIPAA-aligned Kubernetes on private networks is a separate job, and it pulls them off the product.
Most healthtech teams we work with arrive with two or three of these at once. We help you close them without adding headcount.
We map our services to the parts of healthcare infrastructure that carry the most risk.
Metrics, logs, and traces across your stack, so you see latency, errors, and failures in portals, telehealth, and APIs before patients or clinicians do.
Explore observabilityError budgets, incident response, and on-call practices that keep clinical and patient-facing systems available through demand spikes.
Explore SREClusters that run inside private networks with the encryption, access controls, and policies HIPAA reviews expect to see.
Explore KubernetesInfrastructure on AWS, Azure, and GCP built for the availability and PHI-handling rules healthcare operates under, including migrations off legacy systems.
Explore cloudCI/CD pipelines with security scanning and change controls, so every release leaves an audit trail instead of a gap.
Explore DevOpsInternal developer platforms and golden paths so your engineers ship on their own, while access, security, and compliance controls stay enforced underneath.
Explore platform engineeringWe don't issue certifications, and we won't sign your HIPAA attestation for you. What we do is build and run infrastructure that holds up under HIPAA and SOC 2: encryption in transit and at rest, least-privilege access, audit logging, change history through GitOps, monitoring you can show on request, and network isolation that keeps PHI off the public internet. That covers the infrastructure side of the obligations your engineering team carries.
// Infrastructure aligned to the frameworks above. We support the engineering side of compliance, not the certification itself.
We worked closely with Obsium on an application modernization project for a US-based healthcare customer. Their team successfully migrated the platform to AWS, implemented Kubernetes, and deployed a robust observability stack.
Obsium demonstrated deep expertise in cloud-native technologies and delivered the engagement with professionalism and technical excellence.
We highly recommend Obsium for organizations seeking modern cloud, Kubernetes, and observability solutions.
We start by making your system visible, so reliability problems and audit gaps surface early instead of reaching patients during an incident.
Our work includes migrating a US healthcare customer to AWS with Kubernetes and full observability, so privacy-tight, regulated environments are familiar ground, not a learning curve on your budget.
The person advising you runs the implementation. Nothing gets lost in a handoff to a junior team.
A shared Slack channel, regular syncs, flexible hours, and no long lock-in. You add capacity without adding headcount.
A short, no-pressure call to understand your setup, your goals, and where things are getting in the way.
You get a clear scope: the approach, trade-offs, and first steps, shaped around your priorities and how you like to work.
We match you with the senior engineer right for the job, and you confirm the fit before any work begins.
Your engineer plugs into your team through a shared channel and regular syncs, does the hands-on work, and keeps you in the loop.
Yes. For a US healthcare customer we migrated the application to AWS, implemented Kubernetes, and deployed a full observability stack.
We build governance and compliance controls aligned with recognised standards, with visibility and audit readiness, and bake security into the architecture from the start. Sensitive workloads can run behind private networks with no public exposure.
We work across AWS, Azure, and GCP, and design cloud-agnostic, portable architectures. We also handle hybrid setups that connect on-premises and cloud.
Both. We handle new builds and migrations with assessment, planning, execution, and validation. Where you already have a setup, we integrate with it and improve it rather than replacing things without good reason.
Yes. We integrate with the tools and workflows you already use and improve them, without unnecessary replacements. We can also embed engineers and dedicated SRE support to work alongside your team.
Start with a conversation. Request a demo or get in touch at obsium.io/contact-us, and we will scope the work to your needs and share a quote.
Tell us where your infrastructure feels risky, whether that's uptime, PHI security, an upcoming audit, or a migration you keep postponing. The first conversation is free, and no hour is billed before you have seen the plan.
Book a free consultationWhen a minute of downtime means lost transactions and a compliance question, your infrastructure has to be right. Obsium helps fintech teams run secure, observable systems on AWS, Azure, and Kubernetes that hold up to real traffic and real audits.
The stakes in financial services are different from a typical SaaS. Here is what teams usually bring to us.
A failed deploy or an unnoticed memory leak during peak hours means dropped transactions and support tickets you can count in revenue.
SOC2 and PCI DSS reviews want access controls, change history, and monitoring you can show, not just describe.
Financial data is a constant target, and a misconfigured cluster or an over-permissive policy is exactly the gap that ends up in an incident report.
Traffic spikes around paydays, market events, and launches, and infrastructure that was fine last month falls over under the load.
Your engineers ship features well. Running compliant Kubernetes on private networks is a separate job, and it pulls them off the roadmap.
Most fintech teams we work with arrive with two or three of these at once. We help you close them without adding headcount.
We map our services to the parts of fintech infrastructure that carry the most risk.
Metrics, logs, and traces across your stack, so you see latency, errors, and failures as they form instead of after a customer reports them.
Explore observabilityError budgets, incident response, and on-call practices that keep your platform available through peak load and market events.
Explore SREClusters that run inside private networks with the access controls and policies auditors expect to see.
Explore KubernetesInfrastructure on AWS, Azure, and GCP built for the availability and data-handling rules financial services operate under.
Explore cloudCI/CD pipelines with security scanning and change controls, so every release leaves an audit trail instead of a gap.
Explore DevOpsInternal developer platforms and golden paths so your engineers ship on their own, while access, security, and compliance controls stay enforced underneath.
Explore platform engineeringWe don't issue certifications, and we won't claim to make you compliant on our own. What we do is build and run infrastructure that holds up when the auditor arrives: documented access controls, change history through GitOps, monitoring and alerting you can show on request, and security policies enforced in code rather than tracked in a spreadsheet. That covers the infrastructure side of the frameworks your engineering team is responsible for.
// Infrastructure aligned to the frameworks above. We support the engineering side of compliance, not the certification itself.
We built end-to-end observability for a US banking SaaS running on AWS EKS behind private networks, giving the team a clear view into a system where downtime and blind spots were not acceptable.
We worked closely with Obsium on an application modernization project for a US-based healthcare customer. Their team successfully migrated the platform to AWS, implemented Kubernetes, and deployed a robust observability stack.
Obsium demonstrated deep expertise in cloud-native technologies and delivered the engagement with professionalism and technical excellence.
We highly recommend Obsium for organizations seeking modern cloud, Kubernetes, and observability solutions.
We start by making your system visible, so reliability problems and audit gaps surface early instead of during an incident.
Our work includes a US banking SaaS on AWS EKS behind private networks, so security-tight, regulated environments are familiar ground, not a learning curve on your budget.
The person advising you runs the implementation. Nothing gets lost in a handoff to a junior team.
A shared Slack channel, regular syncs, flexible hours, and no long lock-in. You add capacity without adding headcount.
A short, no-pressure call to understand your setup, your goals, and where things are getting in the way.
You get a clear scope: the approach, trade-offs, and first steps, shaped around your priorities and how you like to work.
We match you with the senior engineer right for the job, and you confirm the fit before any work begins.
Your engineer plugs into your team through a shared channel and regular syncs, does the hands-on work, and keeps you in the loop.
Yes. We built full-stack observability for a US banking SaaS on AWS EKS, running fully behind private networks. It is one of our published case studies.
We work across AWS, Azure, and GCP, and design cloud-agnostic, portable architectures. We also handle hybrid setups that connect on-premises and cloud.
Both. We handle new builds and migrations with assessment, planning, execution, and validation. Where you already have a setup, we integrate with it and improve it rather than replacing things without good reason.
We build governance and compliance controls aligned with recognised standards, with visibility and audit readiness, and bake security into the architecture from the start. Sensitive workloads can run behind private networks with no public exposure.
Yes. We integrate with the tools and workflows you already use and improve them, without unnecessary replacements. We can also embed engineers and dedicated SRE support to work alongside your team.
Start with a conversation. Request a demo or get in touch at obsium.io/contact-us, and we will scope the work to your needs and share a quote.
Tell us where your infrastructure feels risky, whether that's uptime, an upcoming audit, or a migration you keep postponing. The first conversation is free, and no hour is billed before you have seen the plan.
Book a free consultation