A startup from Boston, the United States that is founded by Asaf Yigal.
Integration with ELK Stack
Logz.io offers a managed service for the ELK Stack (Elasticsearch, Logstash, and Kibana), enabling easy integration with existing ELK-based setups, which can save time and reduce complexity.
Scalability
Logz.io is designed to handle large volumes of data, making it suitable for organizations of various sizes and ensuring that it can grow with your needs.
Security Features
The platform provides robust security features, including encryption, compliance certifications, and role-based access controls, helping to protect sensitive data.
AI-Powered Insights
Logz.io employs machine learning to deliver AI-powered insights, such as anomaly detection and root cause analysis, which can speed up troubleshooting and improve system reliability.
User-Friendly Dashboard
It offers an intuitive and customizable Kibana-based dashboard, making it easier for users to analyze and visualize log data without extensive technical knowledge.
24/7 Support
Logz.io provides around-the-clock customer support, ensuring help is available whenever you need it.
Yes, Logz.io is generally considered a good solution for organizations looking to enhance their monitoring and observability capabilities. Its strong integration with open-source tools, ease of use, and comprehensive features make it a popular choice among developers and DevOps teams.
We have collected here some useful links to help you find out if Logz.io is good.
Check the traffic stats of Logz.io on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Logz.io on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Logz.io's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Logz.io on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Logz.io on Reddit. This can help you find out how popualr the product is and what people think about it.
Integrate Logging Services: Use services like Logz.io or Datadog for real-time log monitoring. - Source: dev.to / about 1 year ago
Warning: This stack is resource-heavy. Start small or use a managed service like Logz.io if youโre just experimenting. - Source: dev.to / about 1 year ago
Logz.io โ Free up to 1 GB/day, one day retention. - Source: dev.to / over 2 years ago
Logz.io is like a cloud-based control center for your applications, systems, and infrastructure. It keenly observes their performance and health and provides you with any required insights that will help with the smooth running of your digital platform. With its log management, metrics analysis, and distributed tracing capabilities, Logz.io is one of the best performance monitoring tools to ensure your tech stack... - Source: dev.to / over 2 years ago
You better use a logs tool like logz.io or something, Don't re-invent the wheel. Source: about 3 years ago
However, if you don't have the resources to manage something, solutions like the one above can get VERY expensive and even managed purpose built solutions like https://logz.io/ can get pricy. I think logz.io is the closest you will get to a no frills log storage platform. Source: over 3 years ago
Logz.io is an observability and security monitoring tool that provides cloud-based log analytics targeted at data security and minimizing the need for capacity management. - Source: dev.to / over 3 years ago
Logz.io โ Free up to 1 GB/day, 1 days retention. - Source: dev.to / over 3 years ago
Supposing we are building a cloud based logging as a service software like logz.io, where we'd like to store, retrieve and analyze our logs for better insights; python provides a low-level "api" to enable us transports logs from python applications easily, using the logging.Handler class. In the following example we are going to create a simple Custom Handler that writes to a ".txt" file. Obviously log messages... - Source: dev.to / almost 4 years ago
I am trying to push fluentd's pods logs to logz.io. Basically, I have installed the fluent-plugin-throttle plugin which push logs whenever any container reaches the log limit. These log lines show in fluentd's logs. The plugin pushes logs in Json but Fluentd add "2022-10-19 16:57:22 +0000 [info]:" prefix in each log lines. I want to capture online the following log lines, the rest of the lines can be discarded. Source: almost 4 years ago
Logz.io provides cloud-hosted services based on the ELK stack. It is based on OpenSearch and OpenSearch dashboards, which are the open source version of Elasticsearch and Kibana respectively. You can monitor your logs with visualizations and dashboards while setting alerts to notify your team. - Source: dev.to / almost 4 years ago
Wrote my first devops blog post on logz.io and mongodb atlas integration. Would love some feedback! Https://medium.com/@eliranw/sending-mongodb-atlas-logs-to-logz-io-150e6187c85d. Source: about 4 years ago
If it absolutely must be fixed and the vendor can't be made to care, log absolutely everything. Seriously. Ship logs of everything possible to a 3rd party logging system like logz.io or something onprem. Sometimes shipping metrics helps too, especially if you can analyse both at the same time. Once you have logs of when it needs a reboot, often you can track down from there. Source: about 4 years ago
I've used logz.io as the logging platform because it uses the best of breed opensource solutions for these three needs: ELK, Jaeger and Prometheus / Grafana. I'll explain how to get your logs over, how to setup tracing across distributed applications and implement both standard and custom metrics emission as well as visualization of those metrics. Source: over 4 years ago
Mainly, I am trying to figure out if Azure LogAnalytics (with or without Sentinel) can be an option, as we are looking into various options for log collection and retention, such as logz.io, solarwind papertrail, loggly, ELK stack, etc. Source: over 4 years ago
An alternative is to send the log messages to other platforms such as Loggly or Logz.io, which receive, index, and provide you with search functionality over your logs. - Source: dev.to / over 4 years ago
Try logz.io, they have a pretty generous free plan for logging. Source: over 4 years ago
Maybe a log SaaS solution would be an easy way to experiment: https://logz.io/ has a free plan, could ship your logs over and get a nice UI/search out of it. (Note: I do not work for Logz.io, however, I tried their stuff out and it's fine). Source: over 4 years ago
Logz offers ELK service the best choice for scaling and performance with ease while thereโs no need to perform upgrades or capacity management. Logz.io security is enterprise-grade, and it keeps your data private and secure while also complying with key industry standards. Logz.io goes way beyond the ELK service to provide an Enterprise-Class log analytics platform consisted of features like integrated alerts and... - Source: dev.to / almost 5 years ago
We here at logz.io provide managed services for log and tracing analytics and observability. We use a number of open source projects to provide these services. Our value, like all managed service providers, lies in our ability to provide expertise for a service that another organization probably doesnโt want to spend the time and money to become experts in. This is only possible because of open source. - Source: dev.to / almost 5 years ago
The logz.io CTO didn't seem to happy with the way Amazon was running things back in May. Source: almost 5 years ago
In the realm of log management and performance monitoring, Logz.io is frequently recognized for its innovative use of machine-learning and predictive analytics to streamline the identification of crucial events within application, server, and network logs. The platform, which is built upon the ELK StackโElasticsearch, Logstash, and Kibanaโoffers real-time insights into log data, allowing for efficient analysis and comprehension of complex data sets.
Primarily positioned against competitors like Sumo Logic, Datadog, and Splunk Enterprise, Logz.io differentiates itself with its cloud-based infrastructure, particularly appealing to organizations that prioritize agile and robust log analytics with minimal capacity management. The tool's focused design enables users to conduct comprehensive monitoring and analysis without the overhead of maintaining and upgrading traditional logging infrastructure.
Public opinion on Logz.io appears generally favorable, particularly among technical audiences looking for managed solutions to address their observability and security monitoring needs. Users appreciate its ability to integrate seamlessly with open-source projects like Jaeger and Prometheus/Grafana, providing a full-fledged observability suite that includes log management, tracing, and metrics analysis. Its positioning as a cost-effective alternative in spaces traditionally dominated by Splunk and other enterprise solutions is also frequently noted.
However, the platform is not without its criticisms. Some users point out that Logz.io can become expensive, particularly as log data volumes increase, a common concern shared amongst managed service offerings. This feedback underscores the importance of scalability and cost management in log monitoring solutions, a vital consideration for businesses of varying sizes and needs.
Logz.io's freemium model, offering up to 1 GB of log data analysis per day with a one-day retention period, has been positively received. This feature caters to smaller developers and businesses experimenting with cloud-based logging solutions, offering a frictionless entry point into Logz.io's capabilities before scaling up their investment.
In summary, Logz.io is held in high regard within the community for its robust integration with the ELK stack, advanced machine-learning capabilities, and comprehensive monitoring toolset. While it faces strong competition from more entrenched players like Datadog and Splunk, its cloud-based service model provides significant value to organizations seeking flexible and powerful log management solutions. Though cost considerations are a potential barrier, Logz.io remains a compelling choice for teams that prioritize managed services with agile, real-time analytics.
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