Splunk Observability Cloud

Score8.4 out of 10

131 Reviews and Ratings

What is Splunk Observability Cloud?

Splunk Observability Cloud aims to enable operational agility and better customer experience through real-time AI-driven streaming analytics allowing accurate alerts in seconds. It is designed to shorten MTTD and MTTR by providing real-time visibility into cloud infrastructure and services.

Categories & Use Cases

Media

Screenshot of Real-time monitoring for public, private and hybrid cloud

#1 most frequent

Professional, Scientific, and Technical Services

24.2%

538 installations of 2,225

#2 most frequent

Finance and Insurance

18.8%

419 installations of 2,225

#3 most frequent

Information

18.8%

419 installations of 2,225

Allen Monroy

cyber systems engineer in Engineering at Alaska (201-500 employees employees)

Use Cases and Deployment Scope

it allows for the full view or the picture to be created on how to analyze the full depth of logs within our environment and furthermore accessing them from cloud allows for the data to always be readily available at all times. In this instance it also provides a more secure manner of storing data and making sure it is readily available

Pros

analysis
insider threat
easy access

Cons

Splunk Observability Cloud language
user friendly
AI assistant

Return on Investment

data availability
real time analysis
threat detection

Usability

Alternatives Considered

Splunk Enterprise Security

Dhaval Bhalgamadiya View profile

Devops Engineer in Information Technology at Veefin Solutions (201-500 employees employees)

Use Cases and Deployment Scope

We use Splunk Cloud as primary APM and infrastructure monitoring tool for cloud native AWS environments.Our stack heavily relies on EKS,ECS and serverless lambda functions so by standardizing opentelemetry we ingest metrics , traces and logs directly into Splunk without proprietary agents.The biggest problem solved is Mean Time to Resolution(MTTR) during outages.Before Splunk, investigating 502 error on ALB meant manually checking cloud watch logs and container metrics.Now distributed tracing correlates the infra anomaly directly to failing microservices trace and exact log line.It also helps in end to end monitoring across staging and production servers.

Pros

The real time straming metrics ,means infra metrics and alerts update within seconds.
Native opentelemetry standardisation
Immediate log to trace correlation through log observer connect
Unified kubernetes troubleshooting
Built in AI Agent & LLM monitoring

Cons

Cost predictability and ingestion management
Steep learning curve
Ui Clutter
Heavy queries chokes system sometimes

Return on Investment

Reduce MTTR by around 60 percent and also recovered engineering hours . Troubleshooting became easier for teams.
Protected revenue and customer experience
Cloud infrastructure optimization
Efficiency of team has doubled.
Delivery time has reduced.

Usability

Alternatives Considered

Datadog, Prometheus and Grafana

Other Software Used

Splunk Enterprise Security, Splunk Cloud Platform, Slack, Atlassian Jira, Medium, Jenkins, Atlassian Bitbucket, Amazon Elastic Kubernetes Service (EKS), Kubernetes, OpenTelemetry, AWS CloudFormation, PagerDuty, Datadog, GitLab, IBM Terraform

Udit Parekh View profile

DevOps Engineer in Information Technology at Veefin (501-1000 employees employees)

Use Cases and Deployment Scope

So we use Splunk Observability Cloud for APM, Traces, Logs and Monitoring of our cloud resources and our application performance. So the main problem it solves is troubleshooting our engineers spent a lot time in troubleshooting but after using this everything is easy and automated we got alert of incident and also with same alert we get link of traces and logs so for our engineers it saves a lot time.

Pros

Troubleshoot errors
Optimize application
Monitor cloud resources
Centralized Incident Alerting

Cons

Advance dashboards are bit learning curve for user
Advance monitoring need more add ons means more cost
They need to give more out of the box dashboards so even small team can start with

Return on Investment

We have optimized our product
We have solved error with minimum downtime because of traces and logs
The main problem of this is if you go advance then cost is too high to pay

Usability

Alternatives Considered

Grafana and Amazon Elasticsearch Service

Other Software Used

Grafana, Amazon Elasticsearch Service

Verified User

Director in Information Technology (1001-5000 employees employees)

Use Cases and Deployment Scope

We use it mainly to monitor infrastructure and application performance across multiple environments, but also as part of our broader security and compliance visibility stack. It helps us detect performance issues, and unusual activity before they turn into incidents. It helps with problem of fragmented monitoring and limited visibility across systems that have to meet regulatory requirement especially for HIPAA and PCI data . We use infrastructure monitoring, alerting, and real-time dashboards that support both IT operations and security response teams.

Pros

Realtime visibility across infrastrucrte and applicaitons
Excellent traceability of data to get us to root cause
Dashboard are very flexible and customizable.
Easy integrations with the rest of our tech stack

Cons

Unnecessarily complicated licensing
UI needs and update. It's overly cluttered and difficult to learn
Big correlations for logs and traces can be slow and time consuming.

Return on Investment

Satisfies observability requirements for the reglatory requirements we have
Significantly reduces time to detect and remediate potential threats
Expensive to use. Ensure you are not on a consumption model.

Usability

Alternatives Considered

IntSights Cyber Intelligence, from Rapid7, CrowdStrike Falcon and SentinelOne Singularity

Other Software Used

Fortinet FortiGate, Rapid7 InsightIDR

Gurpreet Singh

Junior Network Engineer in Information Technology at TMX Group (1001-5000 employees employees)

Use Cases and Deployment Scope

In our organization, Splunk Observability Cloud is a critical component of our end-to-end monitoring and observability strategy. We use it to gain deep visibility into the health, performance, and reliability of our cloud-native applications and infrastructure in real time.

Pros

Data security
Custom Dashboards & Alerts
Log Management

Cons

Having the AI within Splunk Observability Cloud and let the users use human language and retrieve the data from it without the knowledge of SQL Splunk queries.

Return on Investment

Made the logging and observability much easier
Proactive Incident Detection & Resolution

Usability

Alternatives Considered

Grafana

Other Software Used

Cisco Catalyst Center, Cisco Nexus Dashboard, Cisco Nexus 9000 Series Switches

New Relic

Datadog

Prometheus

Splunk Observability Cloud

What is Splunk Observability Cloud?

Categories & Use Cases

Media

Most Frequent Users

Professional, Scientific, and Technical Services

Finance and Insurance

Information

Reviews

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Alternatives Considered

Use Cases and Deployment Scope

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Other Software Used

Use Cases and Deployment Scope

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Other Software Used

Use Cases and Deployment Scope

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Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

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Alternatives Considered

Other Software Used

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