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Submission Tags: tranco_l324
Submission: On March 05 via api from DE — Scanned from DE
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The SolarWinds Platform is the industry’s only unified monitoring,
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SOLARWINDS OBSERVABILITY
A SaaS offering built to extend visibility across the cloud-native, on-prem, and
hybrid technology stack, enabling DevOps, IT ops, and Cloud Ops teams to spend
more time developing new modern applications and infrastructures, fuel
innovation while continuing to meet SLAs, and exceed customer expectations in
legacy on-prem and hybrid IT via a single, unified offering.
Key Features
* Unified application and infrastructure data delivers comprehensive visibility
* Full-stack observability includes internally written and commercial
applications, networks, on-prem and cloud infrastructure, and user experience
* Support for open-source frameworks, container technologies, and third-party
integrations
* AIOps enhanced with machine learning (ML) helps simplify the management of
distributed environments
* Automated instrumentation and dependency mapping
* Quick to install and easy to use for superior time to value
Starts at $5.00
Start Free TrialStart Free TrialFully functional for 30 days
INTERACTIVE DEMO
* Overview
* Features
* Offerings
* Pricing
COMPLETE OBSERVABILITY BUILT ON DECADES OF EXPERIENCE HELPING IT PROFESSIONALS
SolarWinds Observability delivers unified and comprehensive visibility for
cloud-native, on-premises, and hybrid custom and commercial applications to help
ensure optimal service levels and user satisfaction with key business services.
Eliminate Tool Sprawl and gain comprehensive, single-pane-of-glass visibility
with actionable intelligence
Accelerate issue resolution with built-in intelligence and actionable insights
driven by data from across the environment
Reduce alert fatigue with AIOps, machine learning (ML), and a customized metrics
-powered solution designed to automatically prioritize and surface real problems
Accelerate cloud modernization with cloud-native, multi-tenant observability
that seamlessly integrates with SolarWinds Hybrid Cloud Observability to deliver
a unified view across multi-cloud, hybrid, and on-premises environments
Built-in intelligence
AIOps, enhanced with a powerful machine learning engine that helps surface real
problems fast and accurately.
Comprehensive visibility
Unified data from across the environment with service relationship views,
dependency maps, and multi-level drill-downs.
Easy to use
Quick to install, auto-instrumented, and easy to expand with support for
open-source technologies.
Maximum flexibility
A unified platform with modular options designed to scale seamlessly as your
needs grow.
Cloud-native, on-premises, and hybrid
A unified solution for powerful application, network, infrastructure, and
technology monitoring across on-prem and cloud.
Option for self-hosted, on-premises monitoring
Prefer to monitor your on-prem network, infrastructure, and cloud services from
inside your firewall? Try Hybrid Cloud Observability.
Learn More
Offerings
Designed for Maximum Flexibility
SolarWinds Observability is designed to provide customers with maximum
flexibility and choice. It’s a unified platform offering with discrete
capabilities so you can scale seamlessly as your needs grow.
* Application observability
APPLICATION OBSERVABILITY
Comprehensive application observability for both internally written and
commercial applications, to go beyond basic metrics, traces, and logs
offerings. It combines application performance metrics with distributed
tracing and leverages log monitoring capabilities along with AIOps-driven
notifications—and supports cloud-native open-source frameworks and
third-party integrations. Application observability helps ensure the
availability and performance of cloud-native custom applications and
microservices while also observing your commercially acquired packaged
applications and databases. With application observability, you can:
* Eliminate tool sprawl with a single, fully integrated, full-stack
observability offering spanning metrics, traces, and logs, to provide a
single interface into every layer of cloud applications.
* Reduce alert fatigue with AIOps-enhanced alerts, along with ML-powered
baselining and customized metrics to automatically prioritize and surface
real issues with a single view of thresholds exceeded as well as alert
integration with major notification providers.
* Troubleshoot internally written applications down to a poor-performing
line of code
* Monitor the availability and health of your commercial applications and
databases
Read Datasheet
Close
* Infrastructure observability
INFRASTRUCTURE OBSERVABILITY
Infrastructure observability helps ensure the health and performance of
on-premises, and cloud-based resources, including physical servers, VMs,
hosts, containers, serverless, and cloud service providers. Integration with
AI-powered analytics and application and log observability combine to deliver
context-rich intelligence to help you proactively identify and resolve
performance issues. With infrastructure observability, you can:
* Deliver data-driven insights. AI proactively monitors health and
performance across on-premises and cloud resources including servers, VMs,
hosts, containers, serverless environments, and
infrastructure-as-a-service-provided resources to enable proactive
performance tuning and issue resolution.
* Break down data silos. Aggregation of performance and health data across
on-premises, cloud and hybrid IT stacks, entity grouping, and deep
integration with log and metric data provides context to performance data
and simplifies issue identification and resolution.
* Scale seamlessly. Wide support for open-source frameworks, as well as
third-party integrations delivers easy instrumentation. Auto-discovery and
AI-enabled baselines and metrics provide dynamic infrastructure
observability.
Learn More
Close
* Log observability
LOG OBSERVABILITY
Log observability provides scalable, full-stack, multi-source log management,
combining wide support, powerful search, AIOps-powered platform, and built-in
integration with application and infrastructure observability to deliver
context-rich intelligence to help teams troubleshoot smarter and faster.
* Provide context to event data. Machine learning analysis of log data
across the entire cloud application, services, and infrastructure stack.
* Spend less time troubleshooting. Real-time log tailing and intuitive
search across all log data helps accelerate root cause identification and
reduce time spent troubleshooting, so teams have more time to innovate.
* Leverage cloud-native frameworks. Easy setup with wide support for
cloud-native and open-source frameworks, as well as third party
integrations, lets teams use familiar tools for faster time to value.
* Simplify log management with full-stack, multi-source log aggregation and
a single search bar across all event data .
* Manage risk with log archiving to ensure the availability of log data for
forensic analysis and compliance reporting .
Learn More
Close
* Database observability
DATABASE OBSERVABILITY
Database observability provides deep performance monitoring to diagnose and
analyze issues, using sophisticated root cause analysis. Get comprehensive
visibility into your database instances to help increase system performance
and team efficiency while helping ensure infrastructure cost savings.
ML-based AIOps and health scores based on golden metrics quickly highlight
issues. Get full-stack observability by correlating database metrics with the
application performance, distributed tracing, and log monitoring capabilities
of SolarWinds Observability.
Database observability simplifies the complexity of managing multi-vendor
environments by providing support for databases such as MySQL, PostgreSQL,
Microsoft SQL Server, AWS Aurora (PostgreSQL, MySQL), AWS RDS (PostgreSQL,
MySQL), MongoDB, MongoDB Atlas, and Redis, so you can:
* Ship better code. See query responses before and after a deployment event.
Examine query details and performance, including samples and execution
plans. Compare the performance of your top queries over time.
* Troubleshoot and diagnose outages. Correlate query response or behavior to
system metrics to understand impacts. Isolate unusual behavior and
potential contributing factors within the database.
* Understand database health. Track metrics and watch for trends with health
summaries for databases and systems. Get recommendations based on best
practices. Explore and examine performance outliers.
* Simplify performance management with full-stack tracing and built-in
intelligence designed to identify anomalies .
Learn More
Close
* Digital experience observability
DIGITAL EXPERIENCE OBSERVABILITY
Digital experience observability enables DevOps teams to optimize web
application customer experience. Granular, real-time performance data,
combined with AI-powered analytics, delivers deep insights into application
performance impacts on the end user experience. Armed with this intelligence,
DevOps and IT ops teams can experience the application the way the customer
does—and make better design and implementation choices.
* Understand the impact of web application availability and performance on
the end-user experience with synthetic monitoring. Availability and
performance data from the user perspective combine with
AI-powered analytics to deliver deep insights.
* Gain user insights with scalable real user monitoring (RUM) and experience
your websites like an actual end user. RUM is lightweight, offers accurate
client-side visibility, and can be deployed with just a snippet of code.
* Optimize performance. Identify emerging performance issues with real-time
metrics, including page speed, load time, and response speed.
* Validate improvements. Test and optimize web elements using synthetic
transaction queries to fine-tune critical web flows.
* Spot usage trends. Use global sensors to track performance and filter
performance data by geography, device, and browser.
* Simplify monitoring with artificial intelligence (AI)-powered health
scores, uptime status, and active alerts by website—in a single dashboard
view.
* Manage performance proactively for standard websites and single-page
applications with real-time performance metrics, APEX satisfaction scores,
and real user monitoring.
* Get started quickly with automated wizards designed to guide you through
website setup, synthetic checks, and real user monitoring.
Learn More
Close
* Network observability
NETWORK OBSERVABILITY
Network observability helps enable troubleshooting of the availability,
health, and performance of on-premises networks and end-to-end connections to
public cloud networks through the collection and analysis of diverse network
metrics and logs. With network observability, organizations can more easily
understand and visualize the overall picture of how the network is impacting
the services and experiences depending on it. With network observability, you
can:
* Get a holistic end-to-end view of on-premises network health, flows,
traffic analysis and connections to your cloud provider’s infrastructure.
This helps provide complete visibility into the network resources
underpinning services, thereby reducing blind spots associated with
traditional network tools and enabling more accurate and accelerated
troubleshooting.
* Eliminate tool sprawl. Network observability provides broad visibility
across multi-vendor and multi-cloud networks by aggregating a
comprehensive set of metrics into a single-pane-of-glass network view and
enabling insights into how any impact on end users and business services
may be correlated to network issues historically or in real time. This
holistic approach also helps reduce the inefficiencies and risk often
associated with piecing together information from multiple disparate
tools.
* Scale with efficiency. Network observability helps reduce the overhead and
inaccuracy associated with static thresholds through AIOps-enabled pattern
recognition and anomaly detection allowing network operations teams to be
more productive. It also provides insights into correlated alerts and
events to accelerate root cause analysis. This can help you scale the
network with a leaner management team.
Close
Application observability
Infrastructure observability
Log observability
Database observability
Digital experience observability
Network observability
APPLICATION OBSERVABILITY
Comprehensive application observability for both internally written and
commercial applications, to go beyond basic metrics, traces, and logs offerings.
It combines application performance metrics with distributed tracing and
leverages log monitoring capabilities along with AIOps-driven notifications—and
supports cloud-native open-source frameworks and third-party integrations.
Application observability helps ensure the availability and performance of
cloud-native custom applications and microservices while also observing your
commercially acquired packaged applications and databases. With application
observability, you can:
* Eliminate tool sprawl with a single, fully integrated, full-stack
observability offering spanning metrics, traces, and logs, to provide a
single interface into every layer of cloud applications.
* Reduce alert fatigue with AIOps-enhanced alerts, along with ML-powered
baselining and customized metrics to automatically prioritize and surface
real issues with a single view of thresholds exceeded as well as alert
integration with major notification providers.
* Troubleshoot internally written applications down to a poor-performing line
of code
* Monitor the availability and health of your commercial applications and
databases
Read Datasheet
INFRASTRUCTURE OBSERVABILITY
Infrastructure observability helps ensure the health and performance of
on-premises, and cloud-based resources, including physical servers, VMs, hosts,
containers, serverless, and cloud service providers. Integration with AI-powered
analytics and application and log observability combine to deliver context-rich
intelligence to help you proactively identify and resolve performance issues.
With infrastructure observability, you can:
* Deliver data-driven insights. AI proactively monitors health and performance
across on-premises and cloud resources including servers, VMs, hosts,
containers, serverless environments, and infrastructure-as-a-service-provided
resources to enable proactive performance tuning and issue resolution.
* Break down data silos. Aggregation of performance and health data across
on-premises, cloud and hybrid IT stacks, entity grouping, and deep
integration with log and metric data provides context to performance data and
simplifies issue identification and resolution.
* Scale seamlessly. Wide support for open-source frameworks, as well as
third-party integrations delivers easy instrumentation. Auto-discovery and
AI-enabled baselines and metrics provide dynamic infrastructure
observability.
Learn More
LOG OBSERVABILITY
Log observability provides scalable, full-stack, multi-source log management,
combining wide support, powerful search, AIOps-powered platform, and built-in
integration with application and infrastructure observability to deliver
context-rich intelligence to help teams troubleshoot smarter and faster.
* Provide context to event data. Machine learning analysis of log data across
the entire cloud application, services, and infrastructure stack.
* Spend less time troubleshooting. Real-time log tailing and intuitive search
across all log data helps accelerate root cause identification and reduce
time spent troubleshooting, so teams have more time to innovate.
* Leverage cloud-native frameworks. Easy setup with wide support for
cloud-native and open-source frameworks, as well as third party integrations,
lets teams use familiar tools for faster time to value.
* Simplify log management with full-stack, multi-source log aggregation and a
single search bar across all event data .
* Manage risk with log archiving to ensure the availability of log data for
forensic analysis and compliance reporting .
Learn More
DATABASE OBSERVABILITY
Database observability provides deep performance monitoring to diagnose and
analyze issues, using sophisticated root cause analysis. Get comprehensive
visibility into your database instances to help increase system performance and
team efficiency while helping ensure infrastructure cost savings.
ML-based AIOps and health scores based on golden metrics quickly highlight
issues. Get full-stack observability by correlating database metrics with the
application performance, distributed tracing, and log monitoring capabilities of
SolarWinds Observability.
Database observability simplifies the complexity of managing multi-vendor
environments by providing support for databases such as MySQL, PostgreSQL,
Microsoft SQL Server, AWS Aurora (PostgreSQL, MySQL), AWS RDS (PostgreSQL,
MySQL), MongoDB, MongoDB Atlas, and Redis, so you can:
* Ship better code. See query responses before and after a deployment event.
Examine query details and performance, including samples and execution plans.
Compare the performance of your top queries over time.
* Troubleshoot and diagnose outages. Correlate query response or behavior to
system metrics to understand impacts. Isolate unusual behavior and potential
contributing factors within the database.
* Understand database health. Track metrics and watch for trends with health
summaries for databases and systems. Get recommendations based on best
practices. Explore and examine performance outliers.
* Simplify performance management with full-stack tracing and built-in
intelligence designed to identify anomalies .
Learn More
DIGITAL EXPERIENCE OBSERVABILITY
Digital experience observability enables DevOps teams to optimize web
application customer experience. Granular, real-time performance data, combined
with AI-powered analytics, delivers deep insights into application performance
impacts on the end user experience. Armed with this intelligence, DevOps and IT
ops teams can experience the application the way the customer does—and make
better design and implementation choices.
* Understand the impact of web application availability and performance on the
end-user experience with synthetic monitoring. Availability and performance
data from the user perspective combine with AI-powered analytics to deliver
deep insights.
* Gain user insights with scalable real user monitoring (RUM) and experience
your websites like an actual end user. RUM is lightweight, offers accurate
client-side visibility, and can be deployed with just a snippet of code.
* Optimize performance. Identify emerging performance issues with real-time
metrics, including page speed, load time, and response speed.
* Validate improvements. Test and optimize web elements using synthetic
transaction queries to fine-tune critical web flows.
* Spot usage trends. Use global sensors to track performance and filter
performance data by geography, device, and browser.
* Simplify monitoring with artificial intelligence (AI)-powered health scores,
uptime status, and active alerts by website—in a single dashboard view.
* Manage performance proactively for standard websites and single-page
applications with real-time performance metrics, APEX satisfaction scores,
and real user monitoring.
* Get started quickly with automated wizards designed to guide you through
website setup, synthetic checks, and real user monitoring.
Learn More
NETWORK OBSERVABILITY
Network observability helps enable troubleshooting of the availability, health,
and performance of on-premises networks and end-to-end connections to public
cloud networks through the collection and analysis of diverse network metrics
and logs. With network observability, organizations can more easily understand
and visualize the overall picture of how the network is impacting the services
and experiences depending on it. With network observability, you can:
* Get a holistic end-to-end view of on-premises network health, flows, traffic
analysis and connections to your cloud provider’s infrastructure. This helps
provide complete visibility into the network resources underpinning services,
thereby reducing blind spots associated with traditional network tools and
enabling more accurate and accelerated troubleshooting.
* Eliminate tool sprawl. Network observability provides broad visibility across
multi-vendor and multi-cloud networks by aggregating a comprehensive set of
metrics into a single-pane-of-glass network view and enabling insights into
how any impact on end users and business services may be correlated to
network issues historically or in real time. This holistic approach also
helps reduce the inefficiencies and risk often associated with piecing
together information from multiple disparate tools.
* Scale with efficiency. Network observability helps reduce the overhead and
inaccuracy associated with static thresholds through AIOps-enabled pattern
recognition and anomaly detection allowing network operations teams to be
more productive. It also provides insights into correlated alerts and events
to accelerate root cause analysis. This can help you scale the network with a
leaner management team.
Pricing
Application Observability
Starts at:
$27.50
Per application instance*
Real-time application metrics, distributed tracing, & code profiling
START FREE TRIAL
Network and Infrastructure Observability
Starts at:
$15.00
Per active network device or host*
Network devices and hosts (1:1), cloud services (3:1), containers (10:1)
START FREE TRIAL
Log Observability
Starts at:
$5.00
Per GB per month*
Scalable, full stack, multi-source log management
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Database Observability
Starts at:
$70.00
Per database instance*
Deep database performance analysis with root cause diagnostics
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Digital Experience Observability - Synthetic
Starts at:
$10.00
Per 10 uptime checks*
Synthetic Monitoring - Availability and performance insights
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Digital Experience Observability - Real User Monitoring
Starts at:
$10.00
Per 100,000 page views*
Real user monitoring – gain insights into how actual users experience your
websites
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*USD per month, billed annually
SolarWinds Observability built for DevOps, IT ops, and Cloud Ops teams
START FREE TRIALSTART FREE TRIALFully functional for 30 daysFully functional for
30 days
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