Splunk Observability Cloud and Google Kubernetes Engine compete in the field of cloud-based monitoring and orchestration. Google Kubernetes Engine has an upper hand with ease of deployment and integration within Google's ecosystem.
Features: Splunk Observability Cloud offers extensive monitoring, customizable dashboards, and real-time insights. It integrates with multiple data sources and gathers various types of logs for analysis. Google Kubernetes Engine excels in container deployment with auto-scaling and strong integration with Google services. It supports centralized control and provides dynamic resource management.
Room for Improvement: Splunk Observability Cloud could improve integration capabilities, cost efficiency, and dashboard customization. Enhancements in automation and scalability are desired. Google Kubernetes Engine needs better documentation and support, improved third-party tool integration, and enhanced application-level security. Users seek straightforward cluster management and more inclusive security measures.
Ease of Deployment and Customer Service: Splunk Observability Cloud is flexible for on-premises, cloud, and hybrid environments, though it may increase complexity. Customer service experiences vary, with calls for improvement. Google Kubernetes Engine simplifies cloud deployment with limited on-premises integration. The documentation is well-regarded, but support services could improve.
Pricing and ROI: Splunk Observability Cloud is often seen as expensive, yet many report a positive ROI through visibility and productivity gains. Google Kubernetes Engine offers a transparent pricing model without licensing fees, although usage costs for high availability can be a concern. Despite costs, both solutions enhance operational efficiency and reduce downtime.
By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.
Problem resolution typically takes between two and five days, which isn't very helpful.
They did not have a clear answer.
The autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.
We've used the solution across more than 250 people, including engineers.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
When looking at the web interface, it feels kind of slow due to the many features involved.
Log observability could be made easier so someone from high school can use it without having technological expertise.
It would be helpful if I could easily find log information in a particular namespace without needing to write certain labels.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost.
The on-demand nodes are quite expensive.
It appears to be expensive compared to competitors.
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.
What I find most valuable is the ability to focus solely on my product without worrying about the Kubernetes infrastructure itself.
GKE is easier to understand and use than Elastic Kubernetes Service.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Unlike other APMs, Splunk's service map is quite effective.
Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.
Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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