GitLab vs. Splunk Enterprise Security

In general it's a good product with a huge number of features. It can do CI/CD checks, deployment, repo hosting, integrations etc. A lot of it can be managed from just the UI but also has an ok API. It does tend to release new features semi-often too which is nice. It can have a steep learning curve for certain features so not a starter-friendly vendor, but great for most businesses.

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Based on my experience, Splunk is a strong git for some environments and a poor match for others. The distinction is primarily based on infrastructure complexity and budget. It's perfect for large enterprises with a mix of on-prem/cloud infrastructure. It's not a perfect match for small teams with restricted resources.

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• GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions.
• It helps maintain code stability and reliability, saving time and effort in the development or research workflow.
• Powerful code review features, enabling collaboration and feedback among team members.
• Robust project management features, including issue tracking, kanban boards, and milestones.

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• Writes Powerful Queries: The queries that can be written using the Splunk Query Language are very powerful and highly customizable to meet every need. Ex: Writing queries to search the intersection of two different sources like Network and Endpoint Logs.
• Offers Dashboard Abilities: Helps build complex panels for Dashboards in addition to providing several out-of-the-box panels. Ex: creating panels to calculate the performance of analysts in a given timezone.
• Helpful Search Aids: It helps to set up complex custom alerts very easily. The interesting fields section is very helpful while threat hunting. Ex: It shows all the users and the frequency of each in a failed login event. The user list on the interesting fields is useful to look for suspicious logins.

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• CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess.
• Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created.
• Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy.

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• Improved User Interface Customization: While the interface is generally intuitive, providing more options for users to customize their dashboards and views would enhance the overall user experience. Tailoring the interface to specific roles or use cases could be a valuable addition.
• Simplified Alert Management: Streamlining the process of managing alerts, such as grouping or categorizing them based on severity or type, would make it easier for security teams to prioritize and respond to incidents effectively.
• Expanded Threat Intelligence Feeds: Increasing the variety and sources of threat intelligence feeds available within ES would provide a broader context for identifying and mitigating emerging threats, ensuring a more comprehensive defense against evolving attack vectors.

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I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features

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We are very happy with Splunk and would advise anyone to take a serious look at it. It might look pricey but the rewards Splunk offers seem endless.

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- As a combination of features and products, GitLab is a really great tool for developers. - Also, it comes with both light and quick changes in a web browser version, as well as pro work in VS Code mode. However, in certain areas, such as large-scale issues/incidents, management can be improved.

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Maintaining hundreds or even 1000+ SOC use cases is really difficult, considering that the Data sources may not always send the data. A module that detects data freshness issues and detect data format changes would be a great help. the main challenge today using Splunk Enterprise Security is making sure that the detection rules are still working properly given all the changes that occur in data source applications. Also, maintaining the data collects on tens of thousands of servers and more than 100k workstations is a real company IT challenge: the splunkbase forwarder may not support old OS anymore, while these are the most important to monitor. Moving to the Open Telemetry collector has become essential so that only 1 agent is required for both SIEM and application observability.

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I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version

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I don't think I've ever seen Splunk ES go fully offline or have any downtime greater than a few minutes on rare occasions.

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GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO

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It takes a long time for items to load if you are just generally searching through logs. It is best to use the data models which load faster but can be strange in terms of what is coming from which logs where. Yes, you can look it up, but this also requires familiarity with where things are and how to look them up.

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At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft

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It's good when it's responsive, but I've had times where I had to wait quite a while for a response. But these are typically the exceptions rather than the rule. When you do get a response it is always well-informed and appropriate. I would say they've been trending better over time with this.

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I experienced only on-line training, but the trainers were very professional and competent. Maybe it could be more useful if they also have an experience in projects because sometimes they didn't have a real project experience to communicate to the students. Anyway, it was very interesting and I learned many thing that's very difficoult (or maybe impossible!) to have by myself, aven if I have more than 10 years of Splunk activity experience.

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It was very interesting and I learned many thing that's very difficoult (or maybe impossible!) to have by myself. The only problem was that, when I worked with the Splunk Professional Services, I found some difference between the training contents and the information from PS. In addition is required a long experience on Splunk Enterprise for the data ingestion part, in other words I'm able to work with ES because I'm worling on Splunk since 11 years, otherwise I'd some problem.

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It's a fantatic product and it was very useful the presence of Splunk Professional Services for the Design Phase and the final Health Check.

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GitHub is an inferior product from most points of view. We had to use it and the teams finds no positives about it. Everything is a downgrade from our previous GitLab solution. GitLab CI\CD is vastly superior to workflows, for example doing a manual node is just "when : manual" in GitLab while you have to do clickops in GitHub to achieve the same. No overview of code in branches is a minus when we tried to figure out what our colleagues are trying to merge as it looked off.

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Splunk enterprise is the only solution that we’ve been able to identify that provides risk based alerting, which allows our SOC to reduce analyst fatigue which would be a huge problem without it. Before RBA, there were thousands of alerts a day and it was impossible to review all of them

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for my exterience, unit pricing and billing frequency are correct. As I already said, I hint to have more discount flexibility, expecially with new customers, because there are competitors less expensive and very aggressive that are dangerous. In addition the possibility to don't pay the license for the development period could be a very interesting feature for the final customers.

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I think is very well designed, and like any VCS it works as intended

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- 8 out of 10 and took 2 for the data pipeline and administration part. Even if you'd like to improve yourself or your team, you have to pay a lot of money and it could be more than GIAC education + cert. - Normalization for Data models and CPU-based searches can be a problem sometimes.

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I had a fantastic experience with Splunk Professional Services: they worked with us in our last SON project (a SOC migration for a very large customer) and helped to build a multi tenent environment even if ES isn't a multi tenant platform. Th Splunk PS was a very professional and competent people, he is italian and was able to speak with our italian customers.

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• GitLab cut down our spent on container, package and infrastructure registry
• Best thing is we can now have everything in single platform which cost effective too
• Quality of support is really good and they do have emergency support team as well which is great

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• We have a 100% success rate on all our ES implementations due to the amazing documentation and Splunk enablement on the subject.
• Our Splunk ES business has grown 100% YoY for the last 3 years.
• In terms of long term management and maintenance, ES has been highly stable and predictable, reducing our overhead on costly services team for ad hoc maintenance work.