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Digital Transformation In IndustryTop 10 Best Outsource Devops Services of 2026
Ranked shortlist of Top 10 outsource devops providers with criteria, strengths, and tradeoffs for Sutherland, NTT DATA, and Capgemini.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Globant is the strongest outsourced DevOps pick for enterprises that need the provider to own operational readiness, whereas ScienceSoft fits when you want outsourced DevOps delivery engineering with automation and controlled handoffs across governance-heavy teams.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Globant
Delivery teams combine release engineering with operational monitoring coverage, tying deployment decisions to incident response playbooks.
Built for fits when enterprises need outsourced DevOps delivery that also owns operational readiness..
Accenture
Editor pickEnd-to-end operating model delivery that ties release execution, change governance, and incident routines into one standardized workflow.
Built for fits when enterprises need managed DevOps execution across many teams and environments..
Deloitte
Editor pickControl-oriented delivery playbooks that connect access governance, change workflows, and operator runbooks into one operating model.
Built for fits when regulated enterprises need outsourced DevOps operations with strong governance and audit-ready change..
Comparison Table
Globant
enterprise_vendorDigital transformation company providing DevOps engineering and cloud operations.
Delivery teams combine release engineering with operational monitoring coverage, tying deployment decisions to incident response playbooks.
Globant’s delivery model typically covers DevOps consulting and ongoing cloud operations, with engineering work that extends into release orchestration and operational readiness. Clients usually engage teams to implement deployment pipelines, then maintain the runbooks, monitoring coverage, and incident response procedures around those pipelines. The engagement fit is strongest when the client wants shared engineering ownership that can move between build changes and operations tuning.
A concrete tradeoff is that Globant’s outcomes often depend on clear client responsibility boundaries for access control, change approvals, and service ownership. Teams fit the common usage situation when platform and product groups need a single partner to standardize deployment workflows while still supporting service-specific reliability requirements.
- +End-to-end pipeline delivery plus runbook and monitoring ownership
- +Kubernetes operations support integrated with release and rollback workflows
- +Platform engineering engagements that standardize environment handling
- +Extensibility via client-aligned automation hooks in delivery pipelines
- –Requires defined change governance to avoid cross-team ownership gaps
- –Governance depth can slow adoption for highly decentralized orgs
- –Kubernetes operations depend on agreed cluster and release ownership
- –Observability scope may be constrained without explicit monitoring targets
Platform engineering teams
Standardize deployment workflows across products
Fewer drift and faster releases
SRE and operations groups
Stabilize Kubernetes production services
Lower incident frequency
Show 2 more scenarios
DevOps leaders
Improve observability and response rigor
Quicker mean time to restore
Implements monitoring coverage and operational procedures around releases.
Enterprise engineering organizations
Govern changes across multiple teams
Auditable, repeatable changes
Coordinates automation and release controls that fit existing approval patterns.
Best for: Fits when enterprises need outsourced DevOps delivery that also owns operational readiness.
Accenture
enterprise_vendorGlobal professional services firm offering managed DevOps and cloud engineering delivery.
End-to-end operating model delivery that ties release execution, change governance, and incident routines into one standardized workflow.
Accenture is a fit when teams want end-to-end ownership from environment provisioning through release orchestration, with consistent standards across business units. Integration depth shows up in how engagements commonly connect CI/CD tooling, configuration management, and operational monitoring into a single operating rhythm. Governance controls are a major strength, because large outsourcing programs often require RBAC alignment, audit logging expectations, and structured change approvals.
A clear tradeoff is that Accenture’s delivery style can require longer onboarding cycles to map existing toolchains, SLO targets, and access models into an agreed operating model. A strong usage situation is a migration or modernization program where multiple workloads move to new cloud accounts and a standardized deployment and operations workflow must be applied consistently.
- +Enterprise-grade DevOps governance with audit and change workflow discipline
- +Strong multi-team integration across cloud operations, pipelines, and operations
- +Program delivery experience suited for complex modernization and migrations
- +Operational runbooks and incident response coordination at scale
- –Onboarding can be heavy when toolchains and access models differ widely
- –Automation and standards may lag if internal ownership is not clearly assigned
- –Engagement structure can reduce day-to-day agility versus boutique operators
Global platform engineering teams
Standardize deployments across business units
Fewer failed releases
Cloud operations leads
Runbook-led production operations outsourcing
Faster incident containment
Show 2 more scenarios
Compliance and risk owners
Audit-ready change and access controls
Lower audit friction
Accenture establishes governance checkpoints and evidence trails for production changes.
Migration program managers
Modernize workloads into new cloud accounts
More predictable cutovers
Accenture applies consistent automation and operational standards during account and environment rollouts.
Best for: Fits when enterprises need managed DevOps execution across many teams and environments.
Deloitte
enterprise_vendorBig Four consultancy providing DevOps strategy, implementation, and managed operations.
Control-oriented delivery playbooks that connect access governance, change workflows, and operator runbooks into one operating model.
Deloitte fits organizations that need outsourced cloud operations with documented controls for access, change, and operational verification. Engineering delivery commonly spans environment provisioning, deployment orchestration, and observability operations with standardized escalation paths. Deloitte’s engagement structure is better aligned to multi-team programs where governance requirements shape automation design and rollout sequencing.
A tradeoff appears when teams want self-service DevOps managed operations with minimal program management involvement. In those situations, Deloitte’s governance-heavy delivery can slow early iteration on pipeline experiments. Deloitte works well when a program must align release processes, operational readiness, and audit evidence across multiple applications and cloud accounts.
- +Governance-led change and access controls across cloud and delivery workflows
- +Automation delivery tied to auditable runbooks and operator-ready handoffs
- +Strong program execution for multi-application release coordination
- +Deep integration into enterprise toolchains for operations and delivery
- –Higher reliance on structured program management can slow early pipeline experiments
- –Customization-heavy engagements can require longer initial onboarding
- –Operational tuning may lag when incident response needs rapid on-the-fly changes
- –Coverage depends on engagement scope and tooling selection for each environment
Compliance and risk teams
Audit-ready change control for releases
Reduced audit friction
Platform engineering teams
Multi-account cloud operations standardization
Lower operational variance
Show 2 more scenarios
SRE and operations teams
Incident response integration with runbooks
Faster mean time to triage
Connects monitoring signals to documented triage steps and escalation paths.
Enterprise application owners
Release orchestration across services
More predictable releases
Coordinates deployment sequencing and operational readiness across multiple teams.
Best for: Fits when regulated enterprises need outsourced DevOps operations with strong governance and audit-ready change.
Infosys
enterprise_vendorIT services giant delivering outsourced DevOps engineering and cloud automation.
Delivery governance that standardizes change, runbooks, and operational ownership across outsourced engineering teams.
Infosys is a large-scale outsource DevOps and platform engineering provider built around enterprise delivery, managed operations, and engineering governance. It supports cloud operations and platform engineering work through repeatable delivery processes that include automation for provisioning, deployment pipelines, and operational runbooks.
Strength is depth in integrating customer environments with managed tooling and standardized operating procedures across teams. Tradeoff is that integration depth and governance setup often require early alignment on toolchains and responsibility boundaries.
- +Enterprise-grade DevOps delivery processes for repeatable pipeline and operations execution
- +Strong cloud operations staffing for hybrid and multi-account environment management
- +Process-based governance for change control and operational handoffs across teams
- +Consistent automation coverage across provisioning, deployment, and runbook execution
- –Initial toolchain alignment is required for smooth automation and handoff workflows
- –Customization for niche workflows can take longer than smaller boutique providers
- –Extensibility is tied to the selected platform tooling and operating model
- –Operational tuning depends on clear SLO ownership and incident response roles
Best for: Fits when enterprises need managed DevOps engineering with structured governance across multiple cloud environments.
Tata Consultancy Services
enterprise_vendorGlobal IT services provider offering DevOps managed services and cloud-native engineering.
Delivery programs that connect environment provisioning, centralized observability, and release operations into a single managed workflow.
Tata Consultancy Services delivers outsourced DevOps services that cover cloud operations, release orchestration, and managed infrastructure automation for enterprises. Its delivery model typically combines consulting for platform engineering with operational run support for CI and CD pipelines across hybrid estates.
Governance and control are supported through enterprise delivery practices like change management, access controls, and incident workflows integrated into client operating processes. Integration depth shows up in how TCS connects environment provisioning, observability, and compliance automation to existing tooling and workflows.
- +Enterprise-grade DevOps delivery with end to end pipeline support
- +Strong integration of cloud operations with environment provisioning workflows
- +Broad operational coverage for incident response and release operations
- +Governance oriented change and access control practices
- –Cross team coordination can slow iteration when requirements change often
- –Tooling fit depends on client standards for CI CD and deployment patterns
- –Automation depth varies by platform scope and required run ownership model
- –Expect a heavier onboarding process for mature RBAC and audit expectations
Best for: Fits when enterprises need outsourced DevOps run support plus platform engineering delivery across hybrid cloud estates.
HCLTech
enterprise_vendorTechnology services company providing DevOps consulting and managed pipeline operations.
End-to-end DevOps operating model that ties release orchestration to incident response runbooks and control gates.
HCLTech fits organizations that need outsourced DevOps delivery across hybrid cloud estates with enterprise governance requirements. Delivery coverage typically spans cloud operations, CI and release pipeline engineering, Kubernetes operations, and production runbooks tied to incident response.
The differentiator is its ability to run service-managed operations alongside delivery teams, using repeatable automation patterns and enterprise controls for change and access. Engagement depth is most visible when architecture work, migration execution, and day-2 operations are run under one vendor operating model.
- +Enterprise operating model for change, access, and operational ownership
- +Proven Kubernetes operations and platform engineering across multiple environments
- +Automation-led delivery for provisioning and pipeline updates in production
- +Centralized observability practices mapped to incident response workflows
- –Governance-heavy engagements can slow fast iterations without co-location
- –API customization depth depends on client platform standards and tooling
Best for: Fits when enterprises need managed DevOps operations plus hands-on migration and platform build support.
Cognizant
enterprise_vendorDigital services provider offering DevOps automation and cloud operations outsourcing.
Cognizant delivery teams combine DevOps consulting with ongoing managed cloud operations to run standardized release and operations workflows across portfolio-level dependencies.
Cognizant differentiates through large-scale enterprise delivery and deep consulting reach, which supports DevOps initiatives spanning multiple application portfolios and cloud environments. The firm offers managed cloud operations, release and deployment pipeline implementation, and platform engineering engagements that typically translate legacy estates into standardized operational patterns.
Integration work often includes automation around monitoring, alerting, and incident workflows, plus governance for access, change control, and auditability across teams. Cognizant is also positioned for vendor ecosystem work with common cloud and tooling choices used in enterprise deployments.
- +Large enterprise delivery capacity for multi-team DevOps programs
- +Structured automation work for release pipelines and operational runbooks
- +Strong fit for hybrid cloud operations with multiple legacy integration points
- +Governance and audit-friendly change processes for regulated environments
- –Engagement scope can feel heavyweight for small teams
- –Tooling extensibility depends on client standards and operating model maturity
- –Automation depth varies by program ownership and on-site participation
- –Central platform rollout timelines can extend across dependency-heavy estates
Best for: Fits when enterprises need outsourced DevOps delivery across hybrid estates with governance and multi-team coordination.
Rackspace Technology
enterprise_vendorManaged cloud services provider offering DevOps operations and cloud engineering.
Runbook-driven operations that combine incident handling, change control, and environment management across hybrid and multi-cloud estates.
Rackspace Technology delivers outsourced cloud operations with managed services built around production-grade engineering for compute, storage, and network environments. Its differentiator is deep operational runbooks for multi-cloud and hybrid estates, including incident handling workflows and change control patterns tied to live infrastructure.
Delivery typically emphasizes infrastructure provisioning automation, configuration management practices, and observability integration to support deployment pipelines and ongoing reliability work. Engagements often fit teams that need external operators to run systems and execute platform changes with governance controls.
- +Operational playbooks for incident response and production change management
- +Multi-cloud and hybrid run support across compute, storage, and networking
- +Automation-first approach for provisioning and repeatable environment configuration
- +Observability integration patterns for metrics, logs, and service health views
- –Requires alignment on operating model, handoffs, and escalation workflows
- –Migration and platform integration effort can be high for fragmented estates
Best for: Fits when organizations need outsourced cloud operations with tight governance and production runbook execution.
Slalom
enterprise_vendorGlobal consulting firm providing DevOps strategy and managed pipeline services.
End-to-end DevOps delivery that connects deployment orchestration work to production support workflows under one engagement model.
Slalom provides outsourced DevOps consulting and managed engineering teams that build and run cloud operations and delivery pipelines across AWS, Azure, and Google Cloud. Engagements typically include platform engineering, infrastructure provisioning, and operational hardening such as reliability practices and production support.
Slalom also offers integration-focused work around CI, CD, and release orchestration so deployments align with governance requirements. Delivery execution centers on repeatable automation workflows rather than one-off scripts.
- +Consulting delivery tied to real production operations and change management
- +Clear focus on automation for provisioning, deployment workflows, and operational runbooks
- +Cross-cloud experience supports consistent patterns across AWS, Azure, and Google Cloud
- +Engineering-led teams that can own both build pipelines and operational hardening
- –Modeling work and governance setup can slow early proof-of-automation efforts
- –Deeper platform and integration scope increases dependency on Slalom delivery cadence
- –Team availability and interface expectations vary by engagement structure
- –Automation outcomes can require ongoing tuning to match system-specific observability signals
Best for: Fits when teams need outsourced DevOps engineering that can run delivery pipelines and production operations together.
ScienceSoft
specialistIT services company providing DevOps consulting and managed operations.
Change-to-release traceability built into delivery execution, linking environment promotion and operational outcomes to reviewable artifacts.
ScienceSoft delivers outsourced DevOps consulting and managed engineering work with a focus on end-to-end delivery workflows, from environment setup through release orchestration. Engagements are designed around automation artifacts like infrastructure as code and repeatable CI and CD pipeline configuration, rather than ad hoc fixes.
Teams can expect governance hooks for operational control, including audit-focused change tracking tied to delivery execution. ScienceSoft also supports platform and cloud operations for organizations that need reliable handoffs between development, operations, and SRE-style incident handling.
- +Infrastructure changes delivered through repeatable infrastructure as code workflows
- +Delivery pipeline engineering covers build, release, and environment promotion mechanics
- +Operational control includes audit-friendly documentation of change and execution flow
- +Cloud operations support spans runtime monitoring and incident response coordination
- –DevOps automation depth depends on tight client alignment to standards and access
- –Platform engineering engagements can require additional internal time for handover readiness
Best for: Fits when enterprises need outsourced DevOps delivery engineering with automation, governance, and controlled operations handoffs.
Conclusion
After evaluating 10 digital transformation in industry, Globant stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right outsource devops
Outsource DevOps buyers typically evaluate how delivery teams own release orchestration and production readiness, not just build CI pipelines. This guide covers Globant, Accenture, Deloitte, Infosys, Tata Consultancy Services, HCLTech, Cognizant, Rackspace Technology, Slalom, and ScienceSoft.
Across these providers, the recurring differentiator is integration depth between governance workflows and operational execution, especially when incident response playbooks must stay synchronized with deployment decisions. The evaluation also tracks how automation and API surfaces support handoffs across cloud operations, environment management, and operator runbooks.
Outsource DevOps engagements that own release governance and production operations
Outsource DevOps is an engagement model where a provider runs delivery pipelines and operational workflows as an extension of internal engineering, with change governance tied to how deployments roll forward and roll back in production. Globant pairs release engineering with operational monitoring coverage so deployment decisions connect directly to incident response playbooks. Accenture extends that pattern by standardizing an operating model that links release execution, change governance, and incident routines across multiple teams and environments.
In these engagements, the work usually spans infrastructure provisioning and environment management workflows, deployment orchestration, and runbook-driven operations that control access and escalation paths during releases. Deloitte and Infosys emphasize governance-led change and access controls across cloud and delivery workflows, with automation delivered into auditable runbooks and operator-ready handoffs. Providers like Rackspace Technology focus on runbook execution for incident handling and production change management across hybrid and multi-cloud estates, while Slalom and ScienceSoft connect delivery pipeline engineering to production support workflows and controlled environment promotion mechanics.
Outsource DevOps capability checks that map to production ownership
Outsource DevOps providers need to treat release execution and production readiness as one operating loop, because handoffs fail when deployment mechanics and incident routines drift. This guide focuses on how providers connect governance workflows to operational execution so change decisions stay synchronized with rollback and recovery actions.
Release engineering tied to incident response playbooks
Globant pairs release engineering with operational monitoring coverage so deployment decisions connect directly to incident response playbooks. HCLTech ties release orchestration to incident response runbooks and control gates so production actions follow the same change model.
Operating-model governance across change, access, and execution
Accenture delivers an end-to-end operating model that ties release execution, change governance, and incident routines into one standardized workflow. Deloitte connects access governance, change workflows, and operator runbooks into a control-oriented delivery playbook.
Cloud operations integration with provisioning and environment management
Tata Consultancy Services connects environment provisioning, centralized observability, and release operations into a single managed workflow. Infosys standardizes change, runbooks, and operational ownership across outsourced engineering teams while staffing cloud operations for hybrid and multi-account environments.
Production runbook execution for hybrid and multi-cloud estates
Rackspace Technology runs runbook-driven operations that combine incident handling, change control, and environment management across hybrid and multi-cloud estates. Slalom connects deployment orchestration work to production support workflows under one engagement model.
Infrastructure change traceability through delivery artifacts and promotions
ScienceSoft builds change-to-release traceability into delivery execution so environment promotion and operational outcomes link to reviewable artifacts. Globant focuses on deployment decisions synchronized with monitoring and incident response, which supports traceability when changes move through production.
Choose by how governance, automation, and production ownership interlock
The most reliable outsource DevOps engagements keep governance steps connected to what actually runs in production, because audit workflows that do not map to release mechanics create operational friction. The decision also hinges on how much integration depth exists between release orchestration, environment management, and operator runbooks.
Map governance gates to the deployment workflow the team will run
If change governance must be tightly coupled to deployment decisions and rollback readiness, Globant and HCLTech connect release mechanics to operational runbooks and control gates. If governance needs a standardized operating model across many teams and environments, Accenture and Deloitte tie release execution and incident routines to one workflow.
Check whether cloud operations covers provisioning and environment promotion end-to-end
If the provider must own environment provisioning and release operations together, Tata Consultancy Services connects those workflows into one managed workflow. If the engagement must standardize runbooks and operational ownership across outsourced teams in hybrid estates, Infosys provides delivery governance plus cloud operations staffing.
Decide how much production runbook execution should sit inside the same engagement
If production incident handling and change management must be executed with runbooks as the core workflow, Rackspace Technology anchors operations on incident response and production change management. If pipeline engineering and production support should live under the same delivery model, Slalom connects orchestration work to production support workflows.
Evaluate automation handoffs based on client alignment and access models
If tight client alignment is already standard for infrastructure as code and access governance, ScienceSoft uses repeatable infrastructure change workflows and controlled promotions. If internal ownership and access models vary widely across tools, Accenture warns that onboarding can feel heavy when access models and toolchains differ.
Validate change-to-release traceability needs against the provider’s delivery mechanics
If traceability must link environment promotion and operational outcomes to reviewable artifacts, ScienceSoft embeds change-to-release traceability in delivery execution. If the key requirement is operational monitoring coverage tied to deployment decisions, Globant connects release decisions to incident response playbooks.
Who should shortlist these outsource DevOps providers
Outsource DevOps buyers should align provider selection to the level of production ownership they need. These providers fit best when governance, execution, and operator runbooks must remain synchronized during releases and incidents.
Regulated enterprises that require auditable change and access governance
Deloitte and Accenture deliver governance-led change workflows with operator-ready runbooks so change control and execution stay aligned across many teams. These providers emphasize audit and change workflow discipline tied to incident routines.
Enterprises consolidating hybrid or multi-account cloud operations
Infosys and Tata Consultancy Services staff cloud operations for hybrid and multi-account environments and standardize delivery processes across those estates. Tata Consultancy Services also connects environment provisioning and centralized observability into a single managed workflow.
Platforms teams needing Kubernetes operations tied to release and rollback
Globant supports Kubernetes operations integrated with release and rollback workflows while owning operational monitoring coverage. HCLTech provides proven Kubernetes operations along with release orchestration tied to incident response runbooks and control gates.
Organizations that expect production runbook execution to be part of the outsource engagement
Rackspace Technology runs runbook-driven operations for incident response and production change management across hybrid and multi-cloud estates. Slalom provides a delivery model that runs deployment orchestration work together with production support workflows.
Enterprises that need controlled environment promotion with artifact-level traceability
ScienceSoft links environment promotion and operational outcomes to reviewable artifacts through delivery execution. This fit is strongest when infrastructure changes can flow through repeatable infrastructure as code workflows.
Common outsource DevOps buying pitfalls that break production ownership
Mistakes happen when buyers assume governance can be implemented as a standalone process that does not change how deployments and incidents are executed. Failures also occur when the provider’s operating model expects structured program management but the buyer targets fast experimentation without the needed change discipline.
Separating change governance from the deployment workflow the provider will execute
Globant and HCLTech tie deployment decisions to incident response playbooks and control gates, so buyers should require that mapping during onboarding. When governance is defined without deployment and rollback alignment, cross-team ownership gaps can appear.
Assuming automation will work without toolchain alignment and access model clarity
Accenture flags that onboarding can become heavy when toolchains and access models differ widely across teams. ScienceSoft also depends on tight client alignment for automation depth and access handoffs.
Treating runbooks and escalation paths as documentation instead of operating mechanics
Rackspace Technology anchors operations in operational playbooks for incident handling and production change management. Slalom also connects orchestration work to production support workflows, so buyers should test escalation and handoff mechanics with real scenarios.
Overlooking coordination costs in multi-team requirements churn
Tata Consultancy Services notes cross team coordination can slow iteration when requirements change often. Buyers should ask how requirements churn impacts release cadence and environment provisioning workflows.
How We Selected and Ranked These Providers
We evaluated Globant, Accenture, Deloitte, Infosys, Tata Consultancy Services, HCLTech, Cognizant, Rackspace Technology, Slalom, and ScienceSoft using a weighted scoring model where features counted for 40% and ease and value each counted for 30%. Features emphasized integration depth between governance workflows and operational execution, especially when incident response playbooks must stay synchronized with deployment decisions.
Ease emphasized how quickly delivery teams can start without excessive governance or onboarding friction when toolchains and access models vary across environments. Value emphasized fit to outsourced DevOps ownership that spans release operations, runbook-driven production support, and environment management end-to-end, where Globant separated itself by tying release engineering with operational monitoring coverage and Kubernetes operations into rollout and rollback workflows.
Frequently Asked Questions About outsource devops
Which provider is best for outsourced DevOps delivery that includes release engineering and ongoing production monitoring tied to incident response?
How should teams structure integration and API ownership when outsourced DevOps work spans CI and CD pipeline changes?
Which provider fits environments that require audit-ready change workflows and incident management routines across multiple systems?
How can data migration for platform engineering and environment management be planned to avoid breaking deployment pipelines?
What breaks if RBAC and audit log requirements are defined late during outsourced DevOps onboarding?
Which service provider is better for Kubernetes operations when teams need outsourced delivery plus production runbooks?
How does environment management differ between providers when the same platform must support multiple teams and sandboxes?
Which provider is best for integration-heavy work that ties deployment pipelines to centralized observability and compliance automation?
What should teams validate about extensibility and custom automation before handing over DevOps change execution?
When multiple cloud providers are involved, which provider most consistently supports hybrid or multi-cloud operations with outsourced delivery?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Digital Transformation In IndustryTop 10 Best Devops Services of 2026
- Digital Transformation In IndustryTop 10 Best Outsource Web Development Services of 2026
- Digital Transformation In IndustryTop 10 Best Outsource Managed It Services of 2026
- AI In IndustryTop 10 Best Devops Software of 2026
- Digital Transformation In IndustryTop 10 Best Dev Ops Software of 2026
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