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[post_content] => Cloud environments grow fast, and so do bills. Without deliberate optimization, organizations routinely overspend by 20–40% on infrastructure that sits idle, is over-provisioned, or lacks lifecycle automation. The complexity of multiaccount, multi-cloud environments makes it nearly impossible to manage costs manually. [post_title] => Workshops & Assessments: AI Enablement Workshop for Infrastructure
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[post_content] => Most engineering leaders I talk to can tell you roughly what their cloud bill looks like. “Somewhere around $150K a month.”
“Azure went up again this quarter.”
“AWS feels higher than it should.” But if you ask where the spend is actually coming from, things get fuzzy pretty quickly. Which teams are driving the increase?
How much of the spend is production versus lower environments?
How many resources are sitting mostly idle?
How much storage has been accumulating for years because nobody wants to risk deleting it? Those answers are usually harder to get than people anticipate. And honestly, that’s understandable. Cloud environments evolve fast. New subscriptions get added. Teams spin up workloads to solve immediate problems. Projects end, but the infrastructure behind them doesn’t always disappear with them. Over time, the cloud bill becomes something organizations react to instead of something they actively manage. We see it constantly. Development environments running full weekends because nobody ever implemented shutdown automation. Large database tiers sized for peak usage that only happens a few days a month. Old snapshots, unattached disks, forgotten load balancers, reserved instance opportunities nobody had time to evaluate. None of it looks catastrophic on its own. Together, it becomes real money. That’s why we stopped approaching cloud cost optimization as a “recommendation exercise.” Most teams already know they probably have waste. Usually, the problem is not that teams are ignoring cloud costs. It’s that the cleanup work never becomes urgent enough to pull people away from delivery deadlines, production support, or platform work already in flight. Most environments already have savings opportunities sitting there - somebody just needs the time to trace through the billing data, validate what is actually being used, and make the changes carefully enough that nothing critical gets disrupted. That was really the reason we turned this into a structured sprint instead of just another assessment. The engagement starts with discovery and billing analysis across the environment. We look at tagging quality, utilization trends, resource inventory, and how costs break down across teams, applications, and environments. The goal is to get past generalized assumptions and identify where spend is actually occurring. From there, we move into analysis and prioritization. Compute right-sizing, storage cleanup opportunities, licensing optimization, lifecycle automation gaps, and unused resources all get reviewed with projected savings attached to each item. But the important part is implementation. We apply the quick wins during the engagement itself. Budget alerts. Automated shutdown schedules for dev and test workloads. Tagging enforcement. Infrastructure-as-code updates for repeatable governance patterns. By the end of the sprint, organizations are usually already seeing measurable reductions in spend. One recent engagement involved an organization operating across eight Azure subscriptions with monthly cloud costs around $180,000. In that environment, lower-tier workloads were basically running all the time whether anybody was using them or not. Tagging standards had drifted differently across teams over the years, and several systems had simply been sized larger and larger without anyone revisiting whether the capacity was still necessary. About six weeks later, monthly spend was down by close to $20,000. There was no major migration project behind it and no application redesign effort. Most of the improvement came from cleaning up the environment, tightening governance a bit, and fixing the kind of operational drift that slowly builds up in long-running cloud environments. Nobody wants an open-ended consulting engagement just to figure out why their cloud bill increased. In most cases, the savings offset the engagement cost fairly quickly. The long-term value is usually bigger than the initial savings anyway. Once teams finally have visibility into where costs are coming from, and with some basic guardrails in place, the environment tends to stay much healthier over time instead of gradually drifting back into the same patterns. At a certain point, most organizations can tell when the cloud bill has turned into something they simply accept every month instead of something they actively manage. That’s usually the point where it makes sense to step back and take a closer look at it. Download our Cloud Cost Optimization sprint overview [table id=3 /]
[post_title] => Your Cloud Bill Is an Unmonitored Process. Here's How to Trace It.
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[post_content] => Cloud environments grow fast, and so do bills. Without deliberate optimization, organizations routinely overspend by 20–40% on infrastructure that sits idle, is over-provisioned, or lacks lifecycle automation. The complexity of multiaccount, multi-cloud environments makes it nearly impossible to manage costs manually.
- 30%+ average cloud waste in enterprise environments
- 60% average cloud waste in enterprise environments
- $20K monthly average savings Keyva delivers per engagement
The Keyva Cloud Cost Optimization Sprint
A Keyva Cloud Cost Optimization Sprint is a pre-scoped, fixed-price engagement designed to identify, prioritize, and implement cloud cost savings across your environment, and delivered in a structured 6-week sprint with clear, measurable outcomes. What’s Included: Week 1–2 Discovery & Audit Week Full cloud environment audit across all accounts/subscriptions. Inventory of all compute, storage, network, and managed services. Cost breakdown by service, team, environment (dev/test/prod), and tag. Identification of unused, idle, and over-provisioned resources. Deliverable: Cloud Cost Audit Report with full resource inventory and cost attribution map. 3–4 Analysis & Roadmap Right-sizing analysis and recommendations for compute instances and databases. License optimization review (reserved instances, savings plans, committed use). Automation gap assessment for resource lifecycle management. Prioritized savings roadmap with impact matrix. Deliverable: Cost Optimization Roadmap with prioritized recommendations and projected savings by item. Week 5–6 Implementation Implementation of top-priority quick wins (examples): right-sizing of flagged resources, tagging enforcement, budget alerts and automated shutdown policies for dev/test environments, infrastructure-as-code updates for identified patterns. Deliverable: Implemented changes with before/after cost comparison report and runbook for ongoing governance.- Cloud Cost Audit Report: Full inventory, cost attribution, and waste identification across all cloud accounts.
- Cost Optimization Roadmap: Prioritized recommendations ranked by projected savings and implementation effort.
- Implemented Quick Wins: Hands-on changes including right-sizing, lifecycle automation, and budget alerting.
- Before/After Savings Report: Quantified cost reduction with month-over-month comparison.
- Governance Runbook: Documented processes and IaC templates for ongoing cost discipline.
- Cloud-Native Expertise: Proven, hands-on experience across AWS, Azure, and Google Cloud, grounded in infrastructure-as-code and FinOps methodologies.
- Pre-Scoped for Predictability: Defined scope and transparent pricing ensure predictable outcomes with no scope creep or billing surprises.
- Execution-First Approach: Keyva delivers implemented solutions, not just recommendations. Measurable savings begin during the engagement
Assessment Approach
The engagement follows a proven three phase methodology: discovery, analysis, and executive readout. Keyva engineers work directly with your teams, reviewing repositories and pipeline configurations in place and benchmarking your current state against industry best practices across more than ten critical domains. Each engagement evaluates pipelines across the following capability areas: Version control practices, pull request and merge workflows, CI pipeline structure, CD and deployment processes, GitOps practices, pipeline security, testing strategy, pipeline quality, standardization, collaboration and ownership, infrastructure, performance, and observability.Supported Platforms
The assessment supports a broad range of leading CI/CD platforms commonly used across modern development environments, ensuring relevance regardless of tooling choices. CI/CD Technologies: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps Pipelines, Google Cloud Build, CircleCI, Bitbucket Pipelines, TeamCity, Harness, Argo CD, Flux CD, Tekton, and AWS CodePipeline.Scope of Engagement
The engagement is delivered through a structured, phased approach designed to provide rapid insight, actionable recommendations, and clear alignment across engineering, platform, and security teams. Discovery and Inventory This phase establishes a clear, shared understanding of the current pipeline landscape and developer experience.- Stakeholder alignment with engineering, platform, and security leads
- Comprehensive inventory of repositories and pipelines across all platforms
- Developer experience survey to identify friction points and bottlenecks
- Toolchain and integration mapping, including CAs, secrets, artifact registries, and SIEM
- Baseline metric collection covering build duration, failure rates, MTTR, and cost per build
Pipeline Analysis
This phase delivers a deep technical and operational evaluation of pipelines across all assessment domains.- Detailed review of all assessment categories for each CI/CD platform
- Security focused analysis including secrets handling, OIDC usage, software supply chain risks, and dependency scanning
- GitOps and infrastructure as code pipeline review covering Terraform, Ansible, and Helm
- Standardization gap analysis across teams and repositories
- Up to four structured interviews with platform teams to validate findings
- Effort and impact based prioritization of all recommendations
- Phased implementation roadmap highlighting quick wins and strategic improvements
- Executive summary and readout presentation
- Full written assessment report
- Optional two week follow up check in to support execution momentum
Outcome
Keyva’s Pipeline Assessment and Optimization solution delivers measurable operational, security, and cost improvements across the software delivery lifecycle.- Faster Software Delivery: Reduce average build times by 30–50 percent through caching, parallelization, and stage optimization, increasing deployment velocity
- Reduced Security Risk: Eliminate credential exposure, secret sprawl, and supply chain vulnerabilities before they become incidents or audit failures
- Recovered Engineering Capacity: Free developers from pipeline instability, manual fixes, and on call interruptions, redirecting time toward feature and platform work
- Audit Ready CI/CD Controls: Establish documented, enforceable standards that support compliance and governance requirements
- Lower Infrastructure Costs: Right size CI/CD compute resources and eliminate redundant or uncached build steps
- A Scalable Pipeline Foundation: Replace bespoke, fragile scripts with reusable templates and standards that scale without accruing technical debt
- EDA Monitor: Continuously monitors endpoints, certificate files, and Kubernetes secrets, triggering events when certificates approach renewal thresholds.
- Generate CSR: Generates private keys (RSA, ECDSA, or Ed25519) and certificate signing requests with full SAN and x509 extension support.
- Request Certificate: Submits CSRs to the certificate authority via API and automatically completes HTTP‑01, DNS‑01, and TLS‑ALPN‑01 challenges.
- Deploy Certificate: Pushes signed certificates, private keys, and chains across all configured target platforms.
Certificate Lifetime Reduction Timeline
TLS certificate lifetimes are shrinking rapidly, creating a material operational challenge for organizations relying on manual or semi manual renewal processes. What was once manageable is quickly becoming unsustainable at scale.Scope of Engagement
The engagement is designed to move quickly from discovery to a production ready automation pipeline while minimizing risk and operational disruption. The scope focuses on practical deployment, validation, and knowledge transfer.Discovery and Environment Setup
This phase establishes visibility, tooling, and a solid operational foundation for certificate automation.- Inventory existing certificates and certificate authority relationships
- Document target platforms and deployment topology
- Install and configure Ansible AWX, or integrate with an existing Ansible environment
- Configure CertOps for the applicable certificate authority, whether ACME‑based or commercial
- Establish a local development and testing environment using a self‑signed certificate authority
- Deliverable: A successful local test execution and a comprehensive inventory report of all existing certificates.
Pilot Deployment and Handover
The pilot phase validates the full certificate lifecycle in a controlled environment and transitions operational ownership to your team.- Deploy CertOps to five pilot endpoints in a non production environment
- Execute the full lifecycle from CSR generation through deployment and validation
- Configure Event Driven Ansible for certificate expiration monitoring
- Conduct team walkthroughs and deliver operational runbook documentation Perform one guided non production deployment with customer team participation
Business Outcome
The Keyva CertOps Automation solution delivers durable operational improvements, reducing risk while eliminating manual toil associated with certificate management at scale.- A clear path to zero certificate related outages through process and architecture, not one off fixes
- More than 1,200 engineer hours per year redirected from maintenance tasks to platform and product work
- Improved audit readiness with on demand certificate evidence, reducing preparation time and audit findings
- Consistent key rotation on every renewal cycle with private keys never leaving their origin systems
- Reduced security exposure windows, shrinking from months to days
- Positive return on investment within two months for non production environments
- No per certificate licensing costs, allowing expenses to scale flat as certificate volume grows
- A one time investment that protects against all future certificate lifetime reductions
Keyva is pleased to announce the certification of the Keyva Service Integration Hub for Red Hat Ansible Automation Platform for the new ServiceNow Zurich release. Clients can now seamlessly upgrade their ServiceNow App from previous ServiceNow releases (Yokohama, Xanadu) to the Zurich release.
The ServiceNow Zurich release delivers enhanced AI-driven workflows, improved user experiences, and expanded automation capabilities to increase productivity, resilience, and service efficiency across the enterprise.
Keyva's Service Integration Hub for Red Hat Ansible Automation Platform allows users to initiate and manage Ansible automation tasks directly from ServiceNow Catalog Requests, Change Requests, and more. Users have the flexibility to configure custom triggers and define specific conditions for launch, ensuring that any approvals established within ServiceNow are completed before the corresponding Ansible job is initiated. This integration allows organizations to fulfill IT automation requests through Ansible Automation Platform from a centralized ServiceNow service catalog, without requiring additional ServiceNow licensing such as Orchestrator or Integration Hub.
Learn more about the Keyva Service Integration Hub for Red Hat Ansible Automation Platform and view all the ServiceNow releases for which Keyva has been certified at the ServiceNow Store: store.servicenow.com.
[post_title] => Keyva Service Integration Hub for Red Hat Ansible Automation Platform Certified for Zurich Release [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => keyva-service-integration-hub-for-red-hat-ansible-automation-platform-certified-for-zurich-release [to_ping] => [pinged] => [post_modified] => 2026-05-26 12:53:43 [post_modified_gmt] => 2026-05-26 12:53:43 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=5240 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [4] => WP_Post Object ( [ID] => 5238 [post_author] => 7 [post_date] => 2026-05-26 12:48:53 [post_date_gmt] => 2026-05-26 12:48:53 [post_content] =>Keyva is pleased to announce the certification of the Keyva Service Integration Hub for Red Hat OpenShift for the new ServiceNow Zurich release. Clients can now seamlessly upgrade their ServiceNow App from previous ServiceNow releases (Yokohama, Xanadu) to the Zurich release.
The ServiceNow Zurich release delivers enhanced AI-driven workflows, improved user experiences, and expanded automation capabilities to increase productivity, resilience, and service efficiency across the enterprise.
Keyva's Service Integration Hub for Red Hat OpenShift allows users to trigger Red Hat OpenShift build jobs directly from ServiceNow Catalog Requests, Change Requests, Incident Requests, and more. Users have the flexibility to configure custom triggers and define specific conditions for launch, ensuring that any approvals established within ServiceNow are completed before the corresponding OpenShift deployment job is initiated. This integration allows organizations to fulfill IT automation requests through OpenShift from a centralized ServiceNow service catalog, without requiring additional ServiceNow licensing.
Learn more about the Keyva Service Integration Hub for Red Hat OpenShift and view all the ServiceNow releases for which Keyva has been certified at the ServiceNow Store: store.servicenow.com.
[post_title] => Keyva Service Integration Hub for Red Hat OpenShift Certified for Zurich Release [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => keyva-service-integration-hub-for-red-hat-openshift-certified-for-zurich-release [to_ping] => [pinged] => [post_modified] => 2026-05-26 12:48:53 [post_modified_gmt] => 2026-05-26 12:48:53 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=5238 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => WP_Post Object ( [ID] => 5230 [post_author] => 7 [post_date] => 2026-05-18 14:57:56 [post_date_gmt] => 2026-05-18 14:57:56 [post_content] => Virtualization Migration Framework Keyva applies a structured, workload validated approach to virtualization platform replacement that helps organizations make informed, high confidence decisions. Modernizing your virtualization platform is not simply a technology decision. It is a high risk, high impact transformation that affects performance, operations, cost, and long term flexibility. Decisions made at this layer can have multi million dollar implications across the organization Traditional approaches often fall short by relying on vendor positioning or theoretical architectures. Keyva’s approach is designed to reduce risk and improve outcomes through evidence, validation, and measurable results. Keyva’s Virtualization Migration Framework and Assessment provides a structured, data driven decision framework built to ensure confidence before committing to change. The framework aligns virtualization strategy with platforms that demonstrate long term viability, strong technical alignment to your use cases, and cost effectiveness. The assessment includes:- A standardized evaluation framework across critical technical and operational domains
- Real workload validation using representative systems such as databases, containers, and streaming platforms
- Quantified scoring and benchmarking to enable objective comparison
- Financial and operational impact analysis to understand cost, effort, and long term implications This approach ensures decisions are based on validated performance and measurable data.
Our Differentiator
Traditional assessments often rely on vendor claims and theoretical architecture reviews. Keyva’s approach is grounded in evidence, validation, and real-world performance.- Structured evaluation across more than 15 capability domains
- Objective, weighted scoring model with defined threshold criteria
- Real-world workload testing, including PostgreSQL, Kubernetes, and Kafka
- Like-for-like performance comparison against your current virtualization environment
- Decisions supported by backed by measurable data
Scope of Evaluation
The assessment evaluates each platform across the following dimensions:- Virtual machine and container platforms
- Networking, storage, and security capabilities
- Operational maturity and Day-2 readiness
- Migration feasibility and supporting tooling
- Performance, scalability, and resilience
- Observability and automation
- Licensing model and total cost of ownership
- Stateful database workloads, such as PostgreSQL
- Containerized application workloads, based on Kubernetes
- High throughput streaming workloads, such as Kafka
- Performance and stability under load
- Scaling behavior and elasticity
- Failure recovery and resilience
- Storage and network characteristics
- Operational complexity and Day 2 considerations
- Standardized evaluation framework and scoring model
- Detailed workload validation and proof of concept test plan
- Comparative vendor scorecards
- Performance benchmarking results
- Cost and licensing analysis, including total cost of ownership
- Migration strategy and phased roadmap
- Executive level decision recommendation
Business Outcomes
Keyva enables faster, lower risk decisions while aligning technical findings with business priorities.- Confident platform selection supported by objective data
- Reduced migration risk and uncertainty
- Clear visibility into cost versus value tradeoffs
- Accelerated and aligned decision making
- Alignment across infrastructure, platform, and application teams
Infrastructure and operations teams face growing pressure to improve reliability, reduce incident resolution times, and scale operations without adding headcount. While AI capabilities are rapidly maturing, many organizations struggle to apply them in a practical, operational context that delivers real value. The Keyva AI Enablement Workshop bridges this gap through a structured, hands on engagement. Rather than focusing on theoretical training, this workshop works directly with your teams, tools, and operational data to design and validate practical AI driven use cases that can be immediately applied and scaled. Over three days, Keyva engineers collaborate closely with your infrastructure and operations teams to design, prototype, and validate AI powered workflows across incident response, knowledge retrieval, and operational automation, leveraging enterprise AI platforms such as Microsoft Copilot via Azure OpenAI and Claude. Supported Platforms The workshop is platform agnostic and designed to work with leading enterprise AI solutions, including:
- Microsoft Copilot (Azure OpenAI)
- Claude (Anthropic)
- Stakeholder alignment across platform engineering, operations, and security teams
- Identification of key operational pain points, including incident response, alert fatigue, and ticket quality
- Review of existing tools and workflows across observability, ITSM, and CI/CD
- Identification and evaluation of available data sources, such as logs, alerts, tickets, and runbooks
- Development of two to three AI powered operational use cases, such as:
- Incident Copilot for alert and log summarization
- Runbook Assistant for knowledge retrieval from internal documentation
- Ticket Enrichment Engine for automated classification and enhancement
- Implementation using enterprise AI platforms, including Microsoft Copilot and Claude
- Prompt engineering and response tuning to improve operational accuracy and reliability
- Application of use cases to real client data where available
- Comparative analysis of AI model outputs
- Architecture design for production deployment, including Azure native or hybrid models
- Integration patterns for:
- ITSM platforms such as ServiceNow and Jira
- Collaboration tools including Microsoft Teams and Slack
- Observability and telemetry pipelines
- Security and governance considerations, including:
- Data handling boundaries
- Human in the loop controls
- Auditability and compliance requirements
- Prioritization of use cases based on effort and business impact
- Development of a 30 , 60 , and 90 day implementation roadmap
- Executive readout and strategic recommendations
Outcome
Keyva’s AI Enablement Workshop delivers measurable operational improvements and a clear foundation for scaling AI across infrastructure and operations.- Reduced incident triage time through automated summarization and analysis of alerts and logs
- Improved operational efficiency by eliminating manual, repetitive tasks in ticket handling and runbook navigation
- Increased consistency through standardized outputs such as incident summaries and ticket classifications
- Faster access to institutional knowledge via natural language interaction with runbooks and operational documentation
- Accelerated AI adoption by moving from experimentation to validated, production ready use cases
- A clear, structured path to scale AI across infrastructure and operations with confidence
- 30%+ average cloud waste in enterprise environments
- 60% average cloud waste in enterprise environments
- $20K monthly average savings Keyva delivers per engagement
The Keyva Cloud Cost Optimization Sprint
A Keyva Cloud Cost Optimization Sprint is a pre-scoped, fixed-price engagement designed to identify, prioritize, and implement cloud cost savings across your environment, and delivered in a structured 6-week sprint with clear, measurable outcomes. What’s Included: Week 1–2 Discovery & Audit Week Full cloud environment audit across all accounts/subscriptions. Inventory of all compute, storage, network, and managed services. Cost breakdown by service, team, environment (dev/test/prod), and tag. Identification of unused, idle, and over-provisioned resources. Deliverable: Cloud Cost Audit Report with full resource inventory and cost attribution map. 3–4 Analysis & Roadmap Right-sizing analysis and recommendations for compute instances and databases. License optimization review (reserved instances, savings plans, committed use). Automation gap assessment for resource lifecycle management. Prioritized savings roadmap with impact matrix. Deliverable: Cost Optimization Roadmap with prioritized recommendations and projected savings by item. Week 5–6 Implementation Implementation of top-priority quick wins (examples): right-sizing of flagged resources, tagging enforcement, budget alerts and automated shutdown policies for dev/test environments, infrastructure-as-code updates for identified patterns. Deliverable: Implemented changes with before/after cost comparison report and runbook for ongoing governance.- Cloud Cost Audit Report: Full inventory, cost attribution, and waste identification across all cloud accounts.
- Cost Optimization Roadmap: Prioritized recommendations ranked by projected savings and implementation effort.
- Implemented Quick Wins: Hands-on changes including right-sizing, lifecycle automation, and budget alerting.
- Before/After Savings Report: Quantified cost reduction with month-over-month comparison.
- Governance Runbook: Documented processes and IaC templates for ongoing cost discipline.
- Cloud-Native Expertise: Proven, hands-on experience across AWS, Azure, and Google Cloud, grounded in infrastructure-as-code and FinOps methodologies.
- Pre-Scoped for Predictability: Defined scope and transparent pricing ensure predictable outcomes with no scope creep or billing surprises.
- Execution-First Approach: Keyva delivers implemented solutions, not just recommendations. Measurable savings begin during the engagement
When VMware Stopped Being the Safe Choice
For a long time, “just run it on VMware” was the lowest-risk answer in the room. Most teams treated it as infrastructure they didn’t need to think too hard about. ...
Workshops & Assessments: Cost Optimization
Cloud environments grow fast, and so do bills. Without deliberate optimization, organizations routinely overspend by 20–40% on infrastructure that sits idle, is over-provisioned, or lacks lifecycle automation. The complexity of ...
Workshops & Assessments: Pipeline Assessment and Optimization
CI/CD pipelines are the foundation of modern software delivery, yet most evolve incrementally under delivery pressure without a structured review against best practices. Over time, this results in slow build ...
Workshops & Assessments: CertOps Automation
The rapid reduction in TLS certificate lifetimes is fundamentally changing how organizations must manage certificate operations. As certificate validity shrinks toward a 47 day standard, what was once a simple ...
Keyva Service Integration Hub for Red Hat Ansible Automation Platform Certified for Zurich Release
Keyva is pleased to announce the certification of the Keyva Service Integration Hub for Red Hat Ansible Automation Platform for the new ServiceNow Zurich release. Clients can now seamlessly upgrade ...
Keyva Service Integration Hub for Red Hat OpenShift Certified for Zurich Release
Keyva is pleased to announce the certification of the Keyva Service Integration Hub for Red Hat OpenShift for the new ServiceNow Zurich release. Clients can now seamlessly upgrade their ServiceNow ...
Workshops & Assessments: Virtualization Migration Framework
Virtualization Migration Framework Keyva applies a structured, workload validated approach to virtualization platform replacement that helps organizations make informed, high confidence decisions. Modernizing your virtualization platform is not simply a ...
Workshops & Assessments: AI Enablement Workshop for Infrastructure
Infrastructure and operations teams face growing pressure to improve reliability, reduce incident resolution times, and scale operations without adding headcount. While AI capabilities are rapidly maturing, many organizations struggle to ...
Your Cloud Bill Is an Unmonitored Process. Here’s How to Trace It.
Most engineering leaders I talk to can tell you roughly what their cloud bill looks like. “Somewhere around $150K a month.” “Azure went up again this quarter.” “AWS feels higher ...