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Splunk Observability Cloud

Score9 out of 10

88 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.

Media

Real-time monitoring for public, private and hybrid cloud

Solid Product but Overkill for Most Organizations

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

Splunk Observability Cloud From Complexity to Clarity

Use Cases and Deployment Scope

I use Splunk Observability Cloud to monitor mainly my Cloud Infrastructure, FrontEnd and Backend applications. In our Organization, through the help of Splunk Observability Cloud multiple teams can easily troubleshoot their applications and infrastructures through the help of theri metrics and logs which helps us to reduce the MTTD and MTTR.

It solves so many problems like End to End Visibility, Real time correlations to reduce MTTD etc.

Pros

  • The first one is its Kubernetes container monitoring.
  • I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
  • The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
  • Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.

Cons

  • It can improve its pricing models as per its competitors as I have it is a bit costly as compare to others.
  • It can improve on its OTEL based integration part as currently to integrate OTel based application we need a good knowledge of OTel SDKs.

Return on Investment

  • Reduction in MTTD and MTTR, it helps us alot by reducting time to detect the exact issue in production environment which gives the positive impact to our business. Because of this we have improved our uptime and Service reliability.
  • It improves the observability across all business teams by a centralized observability tool, which gives us insights for all of our applications and infrastructures.
  • We can easily identify the exact error and when & where it occurs, everything we can easily identify

Usability

Alternatives Considered

New Relic, Datadog, Dynatrace, Azure Monitor, Amazon CloudWatch, Prometheus and Grafana

Other Software Used

Microsoft Teams, Google Meet, Azure Functions, Azure Kubernetes Service (AKS)

Splunk Observability Cloud all way

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

Splunk Observability Cloud review

Use Cases and Deployment Scope

We're using Splunk Observability Cloud to augment our onprem Splunk infrastructure. It gives us telemetry into our hybrid infrastructure.

Pros

  • real-time monitoring
  • scalability
  • unified observability

Cons

  • cost optimiazation
  • complexity
  • customizations

Return on Investment

  • cost
  • unification
  • integrations

Usability

Alternatives Considered

Datadog

Other Software Used

ServiceNow IT Operations Management, Atlassian Jira

Splunk Log Observing again.

Use Cases and Deployment Scope

The leading scope for using Splunk is log parsing and proactive monitoring. Combining logs from multiple sources, discerning trends for display on dashboards, and acting on specific triggers (errors, etc.).

Pros

  • Querying over multiple sources.
  • There are a lot of ad hoc possibilities, including clearly structured query language.
  • Creating dashboards and shareable reports.

Cons

  • You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
  • It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
  • I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.

Return on Investment

  • It has helped us figure out where specific errors occurred, leading to fewer downtimes on incidents.
  • It has provided insights into multiple teams and multiple platforms.
  • Due to its pricing model, we did have to balance data intake versus impact and traceability on the development and production environments, which was a bit of a hassle.

Usability

Alternatives Considered

CrowdStrike Falcon LogScale, Datadog and Grafana

Other Software Used

CrowdStrike Falcon LogScale, Grafana Loki