GitLab DevSecOps platform enables software innovation by aiming to empower development, security, and operations teams to build better software, faster. With GitLab, teams can create, deliver, and manage code quickly and continuously instead of managing disparate tools and scripts. GitLab helps teams across the complete DevSecOps lifecycle, from developing, securing, and deploying software. Differentiators, as described by Gitlab:
Simplicity: With GitLab, DevSecOps can…
$0
per month per user
Splunk Observability Cloud
Score 9.0 out of 10
N/A
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.
As mentioned earlier, the features like chart visualization sets it apart from the others. Other than that, GitLab is open source while other are not and comparatively more secure that its other counterparts. Also, GitLab supports adding other types of attachments which is not …
When i was using the other platform, Some time i face down time, But GitLabs its not happening for single time. GitLab is having easy user interference as compared to other platforms. Pull Request, Code review, Issue tracking, Merging, Access control and User Roles is having a …
GitLab is miles ahead of the competition. In so many words, having a simple UI with robust security and the ability to conduct Git actions takes the cake. The competitions like to say they can do these things easily but their products are more confusing and hard to use.
GitLab allows a self-hosted version that is easy to setup and configure. It is also open-source as compared to GitHub. The integrated CI/CD tools is a plus, since we do not have to worry about those tools, unlike Github. The All-in-one solution of GitLab made sense for our …
Gitlab offers the best support for CI/CD pipelines and the highest degree of customisation for workflows, permissions, and integrations. The integration of BitBucket with JIRA is better than GitLab but CI/CD features are limited in comparison. GitLab's built-in Container …
Gitlab provides basic functionality like any other git tool. Some features of push and pull requests , clone and merge is handled equally well. It lacks in AI features which are there in GitHub and setup processes are difficult. Cost difference is the only concern while …
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" …
It's much simpler than the competitors. The one important feature Gitlab stand out is the CI/CD pipeline. GitHub required integration with external CI tools but Gitlab has this feature built-in. Compare to Jenkins and Teamcity, It's easy to use without any additional Plugins. …
Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer …
i have more exoerence in GitLab rather than bitbucket . As personally , it is good for me to understand how things is going on. i have used personally and also in organisation . It is great for developer to see there 3 months ago code and also can come up with new solution to …
Because with Visual Studio code, it was very easy for us to install GitLab in it and have easy access through the terminal and due to GitLab, it was easy to implement codes regarding API and AWS services to make our software better. Gitlens and all features help to check the …
GitLab provides a far superior platform due to it's great integration and CI/CD focus. And while in the beginning the UI might look a bit overwhelming with use you will find it way more useful than it's competitors. The variables and settings also make way more sense and it's …
My feedback may not be important here because when I joined the company they already had GitLab and we still use it due to the ability to do CI/CD Integration, deployments, debugging, code owners approval, and Jira integration. So far we have not had any major blocker that has …
Github is more open-source first and enterprise-first second in their approach. The reverse is true for GitLab. Both are exceptional products and it highly depends on the specific needs of an org
GitLab has a open-source community and great documentation that provides support resources and community contributions. AWS CodeCommit is used for integration with other AWS services in the AWS ecosystem and also have a low community and support compared to GitLab hence …
It was a management decision to use GitLab over other tools. It integrates well with RBAC using Terraform. Runners are easy to setup. Almost all the features the organization used before are available in GitLab.
For small projects or companies that do work on a few only code repositories selecting one of the git code hosting services like GitLab, GitHub, Bitbicket etc does not make a big difference.
But, if you are on a code development company that handles too many repositories and …
Software delivery is the key objective and GitLab made it much easier to hit the group quickly. It worked well with automation, and integrations with other SDLC tools used in the Organization and it is really easy to use. It's widely adopted and has the power to deliver what we …
GitLab's online IDE and code modification is much better compared to Stash. While pricier than Bitbucket, Gitlab also provides CI CD configuration better than BB.
To be honest, Datadog is very similar to Splunk and LogScale to a lesser degree, but it is just as good if you don't need too complex observability. Grafana is still growing and might reach the same level soon.
It's able to quickly detect and resolve issues across the entire spectrum of deployments including on-premises, public cloud, private cloud, hybrid cloud and multicloud
The above applications have their own use cases. Thousand Eyes or Sitescope is used for URL monitoring and Splunk is used for application monitoring. Appdynamics is also used for application monitoring and can monitor the server very well but it lacks when searching in logs …
Splunk is superior in many ways to these solutions when I'm comes to ingesting, storing, manipulating, and using data, but dynatraces automatic agents do make it much easier to use out of the box. Nagios seems much cheaper but does not provide as much functionality as Splunk. …
SQL is a great tool for smaller quick checks. When trying to monitor several different environments, applications, APIs, several thousand devices, connections, and technology, it just doesn't stand up to what you need. Splunk Infrastructure Monitoring has really stood out …
We are having other monitoring tools like AppDynamics, Dynatrace, Datadog and already using their end-user monitoring capability. Most of our customers are looking for agent-free monitoring where they don't want to instrument any agent on their client-side (as it might …
Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights.
We found other products are still in the old world view …
The use of a single integration and definition of custom metrics, and tags is a great advantage. The ability to use SignalFlow to observe metrics in addition to the vast number of out-of-the-box dashboards is also excellent.
Splunk Real User Monitoring (RUM) has a much better artificial intelligence engine. It also has a much better and more intuitive user interface. Splunk RUM also allows end-to-end visibility into the front and the backend. Technical support and customer service are also much …
It is well-suited for any project that needs VCS. It's an excellent choice for teams that might be remote or have to collaborate across teams. Plenty of features allow for async working. With its dashboards and reporting features, it is also suitable for nontechnical PMs or stakeholders. It allows for very bespoke customization and can most often do much more than you need it to.
The query language is relatively easy and flexible when looking into an application's problems. These queries can then be used for alerts, reports, and dashboards. I believe Splunk is a platform that can help a system grow into its proactive application management, using incidents to add insights as needed without trying to work out every scenario in advance.
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.
An indicator for errors on the navigations pane so that we don't have to go through each tab.
As we go more and more cloud maybe you guys can implement a pay-as-you-use strategy so that small companies using it not frequently can also afford it.
That's it can't think of any and it wont let me skip to next question. Thanks
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
Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net
I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.
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
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
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
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.
We initially chose Splunk Observability Cloud because it promised full-stack visibility and tighter integration. The other tools didn't offer this as part of the core package. Their analytics and real-time dashboards looked strong during the demo but it turned out to a lot heavier and more complex than expected. If I had to decide again, I’d probably go with something more streamlined and easier to manage.