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    LOGIQ.AI Full-Stack Observability Data Fabric

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    The LOGIQ.AI data fabric unifies observability data into a single platform by bringing data life-cycle management for (M)etrics (E)vents (L)ogs (T)races or frequently referred to as MELT data with infinite storage scale
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    LOGIQ.AI Full-Stack Observability Data Fabric

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    Overview

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    LOGIQ.AI is a full-stack observability data fabric that allows users to manage their entire observability data life-cycle: Collect, Store, Analyze, Transform, and Connect. The LOGIQ.AI data fabric unifies observability data into a single platform by bringing data life-cycle management for (M)etrics (E)vents (L)ogs (T)races or frequently referred to as MELT data with infinite storage scale. LOGIQ's monitoring stack is powered by Prometheus. LOGIQ.AI's monitoring stack also allows data from additional data sources like Elasticsearch, Postgres, MySQL, MariaDB, MongoDB, Athena etc. to be queried, analyzed and visualized. LOGIQ.AI ingests logs directly to your s3 bucket from your VM, containers, serverless app, kubernetes environment. No migration headaches, use RSYSLOG, Logstash, Fluentd or Fluent-bit agents. Extract real-time events, index the data for search, do stream processing and run ad-hoc SQL queries. Configure and customize your dashboards, alerts, event rules and datasources.

    Highlights

    • 1 - Click install using CloudFormation template

    Details

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    Delivery method

    Delivery option
    LOGIQ Server base configuration

    Latest version

    Operating system
    Ubuntu Focal

    Pricing

    Free trial

    Try this product at no cost for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    LOGIQ.AI Full-Stack Observability Data Fabric

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    c5.4xlarge
    $0.138
    $0.68
    $0.818
    c5a.4xlarge
    $0.138
    $0.616
    $0.754

    Vendor refund policy

    You can cancel at any time. Please contact us for a refund

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    LOGIQ Server base configuration

    Creates IAM user, IAM role, S3 bucket, Security group, EC2 instance

    CloudFormation Template (CFT)

    AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."

    Version release notes

    LOGIQ.AI Observability Data Fabric v3.5.9.2d

    Additional details

    Usage instructions

    1. Access the application via a browser at http://<public_dns>/
    2. Default UI credentials can be found at https://docs.logiq.ai/logiq-server/aws-cloudformation#default-user-and-password 
    3. To connect to the operating system, use SSH and the username ubuntu along with key pair selected during cloudformation deployment

    Resources

    Vendor resources

    Support

    Vendor support

    Please allow 24 hours

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    12 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Dipin N.

    Outstanding Customize, Scale & Performance vs. easy of use

    Reviewed on Jul 10, 2023
    Review provided by G2
    What do you like best about the product?
    We use LOGIQ.AI to 24x7 monitor our IT-Infrastructure from bare metal devices, the network, to our applications which are hosted on-premise . The monitoring is very stable and performant and easy of customisable . We use as well the BI features to build dependency trees to make the availability of single applications/IT-Services visible for all our users and the management. In that case we make use of the API to integrate those numbers in our Intranet and existing Management dashboards. We picked LOGIQ.AI because we liked the many integration possibilities and because it scales.
    What do you dislike about the product?
    Nothing is called dislike anything can be customized and sort very easily
    What problems is the product solving and how is that benefiting you?
    Improved Data Insights: LOGIQ.AI's AI algorithms can uncover patterns, trends, and correlations in data that may not be easily identifiable manually. This enables organizations to gain deeper insights and make data-driven decisions.
    Data Complexity: Many organizations struggle with the increasing volume, variety, and velocity of data. LOGIQ.AI offers tools and technologies to simplify data management and provide actionable insights.
    Data Silos: Data is often scattered across different systems and departments within an organization, making it difficult to access and integrate. LOGIQ.AI enables data integration and consolidation, allowing businesses to leverage data more effectively.
    Vibhav P.

    Reduce TCO by moving to s3 backed

    Reviewed on Apr 03, 2023
    Review provided by G2
    What do you like best about the product?
    The backend of Logiq is powered by S3 storage, which has proven to be highly beneficial for our business. One of the most significant advantages of using S3 storage is its ability to reduce elastic search costs. This has helped us save a lot of money in terms of storage and processing costs.
    What do you dislike about the product?
    While our current system is functional, the addition of on-the-fly graph creation would greatly enhance our ability to analyze data and make informed decisions.
    What problems is the product solving and how is that benefiting you?
    Being in fintech, we are required to keep 3 years of logs due to compliance reasons, and Logiq using S3 provides an effective solution for this. By applying lifecycle policies to our S3 storage, we are able to store logs for the required duration while reducing storage costs significantly. Overall, the decision to use Logiq has been a wise choice for our fintech business.

    While there were some initial challenges, we are now very satisfied with the platform's stability and reliability, and it has become an integral part of our business operations.
    Venky N.

    Makes managing of IOT end points so simple and cost effective

    Reviewed on Feb 22, 2023
    Review provided by G2
    What do you like best about the product?
    We specialise in using computer vision to monitor operations. To create a platform that is cost-effective and widely accessible, we use readily available edge devices. These systems are often deployed in less-than-ideal settings at our customers' locations. To address this, we have developed a monitoring infrastructure that detects the status of the devices and relays this information back to our headquarters. However, this infrastructure requires significant engineering time for maintenance, support, and new feature development. In addition, we also devote substantial resources to managing the data storage and analysis of the large number of devices we have. Implementing LOGIQ.ai solutions has dramatically improved our project development cycle and allowed our engineers to focus on their expertise in vision-related tasks. Using LOGIQ.ai has enabled us to meet our financial and schedule constraints effectively.
    What do you dislike about the product?
    No specific negatives. There is a lot more we can do with LOGIQ, and it just takes time to understand all the additional capabilities.
    What problems is the product solving and how is that benefiting you?
    LOGIQ.AI solves two of the problems we had with monitoring our IoT devices.

    Metrics Data Collection and Management: collecting and managing data from multiple devices and protocols, making it easier for us to monitor and analyze IoT data, identify trends, and detect anomalies.

    Predictive Maintenance: LOGIQ can help predict when maintenance is required, reducing downtime, preventing costly repairs, and extending the lifespan of IoT devices.
    Soumya Ranjan M.

    Excellent real-time alerting and insights platform!

    Reviewed on Feb 18, 2023
    Review provided by G2
    What do you like best about the product?
    Logiq.ai Alerting offers several features that enables us to monitor and detect anomalies in real-time. Some of the
    key features of Logiq.ai Alerting that we like includes:
    1. Real-Time Alerts: Logiq.ai Alerting provides us real-time alerts for critical issues, anomalies, and events.
    These alerts can be customized based on specific requirements and can be sent to multiple stakeholders
    through various channels, including email, SMS, and mobile push notifications.
    2. Customized Alerts: Logiq.ai Alerting allows us to set up customized alerts based on specific requirements.
    We can set up alerts based on specific events, such as a sudden surge in traffic, or based on predefined
    thresholds, such as the number of transactions per minute.
    3. AI-Powered Anomaly Detection: Logiq.ai Alerting uses AI-powered algorithms to detect anomalies and
    identify critical issues in real-time. The platform leverages machine learning and statistical analysis
    techniques to analyze vast amounts of data and identify abnormal patterns and behaviors.
    4. Actionable Insights: Logiq.ai Alerting provides actionable insights that helps us identify the root cause of
    issues and take appropriate actions to mitigate risks. The platform provides real-time data and
    visualizations that enables us to identify trends and patterns and make informed decisions.
    5. Integration with Other Tools: Logiq.ai Alerting can be integrated with other tools and platforms, such as
    Slack, Jira, and PagerDuty, to enable seamless collaboration and communication between our
    stakeholders.
    What do you dislike about the product?
    It is not a dislike however one area of improvement can be that the AI-powered anomaly detection has scope to
    become even more intelligent by reducing the number of alerts from dependent systems in the event of failures.
    This has been given as feedback and the team at LOGIQ is working on it.

    What problems is LOGIQ solving and how is that benefiting you?
    1. Real-Time Monitoring: Logiq.ai Alerting provides us real-time monitoring of critical business operations,
    enabling us to detect and respond to issues in real-time. This helps us minimize downtime and reduce the
    risk of service disruptions.
    2. Increased Efficiency: Logiq.ai Alerting helps us identify inefficiencies and bottlenecks in our operations,
    enabling us to take corrective actions and improve their operational efficiency. This helps us reduce costs,
    increase productivity, and improve customer satisfaction.
    What problems is the product solving and how is that benefiting you?
    LOGIQ.AI is a First-mile Observability Data fabric that helps users COLLECT, STORE, CONTROL, OPTIMIZE and ROUTE observability data on-demand. The LOGIQ.AI platform with an attached infinite data reservoir, that provides indexed search and both sequential, random access to data streams.
    Christopher V.

    Multi-use case Price Performer

    Reviewed on Jan 03, 2023
    Review provided by G2
    What do you like best about the product?
    The use case we were most interested in was reducing our SIEM costs but, in evaluating Logiq.ai we discovered the breadth of the platform. From better logs management to MELT to AI/ML for correlations and remediation workflows, all with greater visibility, was the icing on the cake.
    What do you dislike about the product?
    No real downsides, especially since you can take the opportunity for some tool consultation with this platform. That said, the user interface is a bit young but coming along with each release.
    What problems is the product solving and how is that benefiting you?
    Logiq.ai offers you a full-stack observability platform at a fraction of the cost of other platforms. As mentioned, we started out seeking to cut SIEM licencing costs (saving on data ingest). Still, we discovered many other benefits including applying AI/ML to all data and distribution of data to relevant teams, IT, Security, analytics, finance, et al.
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