Splunk Observability Cloud and Sentry compete in the logging, monitoring, and application performance management category. Splunk appears to have the upper hand in user praise for its end-to-end visibility and comprehensive feature set, whereas Sentry is noted for its ease of use and cost-effectiveness.
Features: Splunk Observability Cloud offers robust log management and application performance monitoring, customizable dashboards, and powerful predictive analytics powered by machine learning. It supports integration with various data sources and provides end-to-end visibility across infrastructures. Sentry excels in error tracking and performance metrics monitoring, with strong integration capabilities with platforms like Slack, GitLab, and Jira. It has a user-friendly interface and is particularly valued for real-time error tracking and comprehensive stack tracing.
Room for Improvement: Splunk users often mention the high cost and complexity of integration as critical areas needing improvement. Requests for more cost-effective licensing, better dashboard customization, streamlined configuration processes, and integration with third-party tools are common. For Sentry, users desire integration with more platforms, improved user metric tracking, expanded dashboard customization, automated issue creation, and improved documentation.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports flexible deployment across on-premises, hybrid, and cloud environments, accommodating various infrastructures. Customer experiences with support vary, with some noting inconsistent response times and expertise. Sentry provides primarily cloud-based solutions, which some users find easier to deploy due to simpler configuration requirements. Support is generally positive, though users highlight areas for improvement in documentation and integration support.
Pricing and ROI: Splunk Observability Cloud often faces criticism for its high cost despite its extensive features, making ROI a crucial factor. Some users note significant time savings and operational improvements that suggest a positive ROI, despite concerns about licensing costs. Sentry is praised for affordability, particularly for startups and small teams using the open-source version. Users appreciate its transparent pricing model and flexible subscription options, finding good value in its core features.
Problem resolution typically takes between two and five days, which isn't very helpful.
They did not have a clear answer.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
It has been easy to use and configure across multiple systems, each having several environments.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
Integrations or single sign-on capability with Microsoft would be beneficial for securing all assets.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Compared to New Relic, it provides the necessary features at a cheaper cost, especially since we moved infrastructure monitoring to Azure.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
Real-time error tracking helps our Quality Assurance team easily identify the root causes of problems or bugs and promptly inform the developers about specific issues.
At this time, I focus on finding and fixing bugs.
It offers unified visibility for logs, metrics, and traces.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk APM provides a holistic view of the application.
Sentry is a tool for monitoring web and application performance, tracking errors, processing request times, and managing user data access.
Developers integrate Sentry with web and application environments to capture front-end and back-end errors, utilize error logs, trace requests, and observe metrics without real-time production access. Sentry's use extends to monitoring internal applications, leveraging CyberArk PAM integration, deploying notifications, and detecting silent failures. Users benefit from detailed error and performance reports, contextual cause-stack information, and real-time breakdowns. There is room for improvement, as users desire refined integration and administrative settings, enhanced alert policies, and more customization in event metrics.
What are Sentry's most important features?Sentry is implemented across industries ranging from tech startups to large enterprises. These organizations use Sentry to enhance application reliability, track performance, and secure user data within protected environments. Integration with CyberArk PAM ensures secure deployment. Organizations find Sentry useful for monitoring internal applications, efficiently processing request times, and tracing changes in production without direct access.
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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