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use case

Extend visibility from on-premises to the cloud

Shift to the cloud with confidence. Splunk provides comprehensive, analytics-driven hybrid IT infrastructure monitoring and troubleshooting at enterprise scale.

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challenge

Gaps in visibility prolong costly outages

Migrating to the cloud leads to fragmented visibility of your hybrid IT landscape due to the scale and ephemeral nature of cloud environments. Being unable to instantly make sense of data from any source at any scale limits your ability to accurately find, fix and prevent service outages quickly.

solution

Unified observability across any environment

See everything clearly See everything clearly

Eliminate blind spots

Get a clear picture of any stack — from monoliths running on-prem to microservices in the cloud — with near-instant visibility to performance and reliability.

Cut production downtime Cut production downtime

Maneuver at the speed of innovation

Proactively observe hybrid infrastructure and swiftly triage and resolve issues for minimal impact on service reliability.

Accelerate new use cases Accelerate new use cases

Realize peak efficiency

Build on the value of your data and reduce toil with simplified setup and seamless integration between all your data sources.

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Real-time, NoSample™ data ingestion to immediately surface anomalies

Splunk’s purpose-built streaming architecture ingests data from any source at cloud scale and processes metrics with a resolution as fine as one second, to eliminate blindspots. SignalFlow provides the flexibility to take any combination of custom or standard metrics and alert based on any logic to identify all anomalies.

Empowering our technologists with strategic tools like Splunk Cloud Platform and Splunk Infrastructure Monitoring means they're not looking for a needle in a haystack.

Justin Falciola, Chief Insights and Technology Officer, Papa John’s International, Inc.

No-code log integration in a single UI to optimize data usage

Ingest your logs once and use them anywhere for faster in-context troubleshooting and deep root cause analysis. Splunk Log Observer Connect, built into Observability Cloud, seamlessly brings logs from the Splunk Platform into dashboards and troubleshooting workflows, using a simple, no-code UI.

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OOTB integrations and directed troubleshooting to speed issue resolution

Splunk provides visibility for on-prem applications and expands visibility to the cloud in minutes with hundreds of OOTB service integrations, prebuilt dashboards, and AutoDetect detectors/alerts. Built-in AI/ML capabilities quickly pinpoint the root cause of any issue.

~5 min

MTTR, compared to about 30 minutes previously

— Read Lenovo’s Story

ProductS

Speed up hybrid and multicloud investigations

Automatically monitor, troubleshoot and resolve issues in seconds with an integrated, full-stack, analytics-powered observability solution that’s OpenTelemetry-native and enterprise ready.

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Related use cases

fast-flexible-service-excellence fast-flexible-service-excellence

Empower engineers with self-service observability

Prevent prolonged outages and unexpected costs by providing developers and SREs with all the observability tools they need in one platform.

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Application modernization Application modernization

Optimize web and mobile performance

Move beyond basic uptime to prioritize metrics that ensure exceptional end-user experiences with every deployment.

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DevOps DevOps

Isolating problems in cloud native environments

Cloud native apps are complex. With Splunk Observability, one engineer can confidently solve problems across their entire system.

View Solution Details

integrations

Splunk Log Observer Connect

Start investigating application and infrastructure logs within Splunk Observability Cloud in minutes for the "why?" behind software behavior.

Learn more about cloud monitoring

Cloud migration is the process of migrating IT workloads to a cloud provider to provision more resilient IT services faster and with greater scale and efficiency. This can include migrating away from a data center to a cloud, migrating from one cloud to another or transitioning to a hybrid or multicloud environment. Cloud migrations are a common part of application modernization, IT modernization and digital transformation initiatives.

There can be many benefits to a cloud migration including reducing costs, improving staff agility and productivity, improving security and resilience and making it easier to scale service delivery for larger audiences. Migrating to a cloud, rather than maintaining a data center, can significantly reduce capital expenditures in favor of operating expenses and shift many critical tasks to third parties that specialize in particular types of software and infrastructure.

There are many common challenges for cloud migrations. These include a lack of holistic strategy for end-to-end visibility, poor understanding of the impact and behavior of hybrid cloud infrastructure on services, concerns of runaway costs and loss of controls in the new cloud platform, data security and compliance issues and unanticipated vendor lock-in.

There are five common cloud migration patterns of increasing complexity, often referred to as the “5 Rs”:

  • Rehost: Also known as “lift and shift,” rehosting is when data or applications are simply redeployed on a cloud server while making the fewest changes necessary to the underlying code.
  • Refactor: This occurs when an application is optimized and adjusted to make better use of the cloud environment, which is not fundamentally necessary for the migration. Core architecture remains unchanged during a refactoring and changes are minimal.
  • Revise: Revising is similar to refectoring, but involves more significant changes to the underlying architecture to make better use of cloud services. This approach requires greater planning and understanding of the organization’s IT road map.
  • Rebuild: Rebuilding involves discarding the existing source code and replacing it with new code, custom developed for the cloud environment. Rebuilding is often the best choice for the long term in cases where an application will continue to be maintained internally.
  • Replace: Replacing is when an organization stops relying on its own custom-built applications and instead migrates to using a prebuilt third-party application provided by a vendor and hosted on a cloud. In these cases, data is probably the only thing that is migrated, and the legacy software and infrastructure is abandoned.

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