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    The Observability Cloud

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    Deployed on AWS
    An order-of-magnitude improvement in both the speed of troubleshooting and economics of deployment.

    Overview

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    The Observability Cloud is based on an entirely new architecture that changes how you ingest, store, analyze and visualize observability data.

    The Observability cloud ingests all event data into a single centralized DataLake. It is based on AWS S3 and compressed 10x, thereby changing the economics of Observability. The event data is then curated into a graph of connected datasets - Customers to Shopping Carts to Pods and Container Logs - dramatically improving the speed of investigation.

    Finally, to get up and running in minutes, Observe provides a pre-built library of Data Apps" which enable you to search, monitor, visualize and investigate popular environments such as K8s, AWS, GCP, Azure, GitHub, Jenkins, etc.

    Our goal? An order-of-magnitude improvement in both the speed of troubleshooting and economics for Observability tooling.

    Highlights

    • All your event data in one place. Over 250+ integrations. Ingest all your data into an AWS S3-based "Data Lake". Data is compressed 10x to provide inexpensive long-term storage.
    • Troubleshoot 10x faster using Observe's "Data Graph". With a graph of connected datasets representing anything from pods to shopping carts or customer tickets, relevant context is just a click away.
    • Up and running in minutes. Observe provides a library of "Data Apps" for common environment such as K8s, AWS, GCP and Azure, which embed best-practices from our experts.

    Details

    Delivery method

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

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    Pricing

    The Observability Cloud

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Observe Usage
    One unit is $20K worth of compute and storage
    $20,000.00

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    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

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Observe provides world class support, including an assigned Data Engineer. Please feel free to reach out to us via support@observeinc.com 

    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.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Application Performance and UX Monitoring
    Top
    10
    In Generative AI, Log Analysis
    Top
    10
    In Log Analysis

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
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    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
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    Overview

     Info
    AI generated from product descriptions
    Data Lake Architecture
    Centralized data ingestion into AWS S3 with 10x compression for efficient event data storage
    Data Graph Technology
    Connected datasets representation enabling rapid context-based investigation across different system components
    Multi-Environment Integration
    Pre-built library of Data Apps supporting integration with Kubernetes, cloud platforms, and development tools
    Event Data Ingestion
    Comprehensive data collection capability with over 250 integration points across different systems and platforms
    Observability Data Correlation
    Automated graph-based correlation of datasets spanning customer interactions, infrastructure logs, and application metrics
    Artificial Intelligence Analysis
    Advanced AI agent that automates data analysis and accelerates root cause investigations
    Telemetry Data Integration
    Supports unified visibility across logs, metrics, and traces for cloud-native environments
    Anomaly Detection
    Real-time system anomaly detection to proactively prevent potential incidents
    OpenTelemetry Compatibility
    Flexible integration with OpenTelemetry standards for standardized observability pipelines
    Multi-Architecture Support
    Native compatibility with modern architectures including Kubernetes, serverless, and microservices environments
    Distributed Tracing
    Advanced event-based telemetry model for tracking and analyzing performance across complex distributed services
    Query Engine
    Powerful analytical engine capable of processing and slicing data across billions of rows and thousands of fields
    Performance Monitoring
    Comprehensive observability platform for analyzing service performance and identifying hidden system patterns
    Incident Investigation
    Detailed troubleshooting capabilities that enable drilling down to individual user-level issues across different data types
    Cloud Native Observability
    Specialized monitoring platform designed for analyzing and optimizing cloud-based application performance

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
    -
    -
    No security profile

    Contract

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    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    2 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Jason H.

    Ingest and Connect Everything

    Reviewed on Jun 17, 2021
    Review provided by G2
    What do you like best about the product?
    To start, Observe's support team is far beyond any other vendor that I have worked with to date, which includes other top-ranked APM/Logging/Monitoring solutions on G2. They make communication easy; they are very responsive and dedicated to ensuring you are successful with the product.

    Observe treats all your custom/bespoke data coming in from arbitrary data sources or 3rd party tooling the same as other more common data sources such as Kubernetes or AWS. All of your data sources and resources feel just as integrated and native to Observe as any other. If you send over data they've never seen, you aren't handicapped until they support it, and you don't need to submit a feature request to have them integrate your data source in a way that feels native.

    Within Observe, you can easily model your resources across the various platforms you use. Those platforms and resources can span across EC2 instances, Kubernetes Pods, Terraform runs, CI/CD Builds, JIRA tickets, GitHub commits, and anything else relevant to you. You can then create links/connections between all of these resources and their event streams/logs.

    Imagine a scenario where you see an access denied exception when accessing AWS resources in your application logs. From your app logs, you can jump to the Kubernetes Pod for that service and see the IAM Role attached to the pod. From the IAM Role, you review the attached IAM Policy and the CloudTrail events associated with that role to see more details on the failed request and what permissions you need to add to the policy. You can further investigate the change history of the policy, jumping to the Terraform run that last updated the policy, the GitHub commit that triggered the Terraform run, and the JIRA story associated with the code change.

    You can genuinely connect everything in Observe, not just logs and not just your typical platforms, and do so in a way that represents your architecture and workflows.
    What do you dislike about the product?
    My only potential dislike is that they aren't a full-blown APM (yet?). However, as mentioned above, they provide a lot of value beyond what an APM can provide. The foundation of the product seems so solid and flexible that I would not be surprised if they make good progress closing that gap, enough to allow us to dump our APM and solely use Observe.
    What problems is the product solving and how is that benefiting you?
    AWS likes to spread your logs and event streams all over the place: S3 buckets, Cloudwatch log groups, Kinesis Firehose, etc. All with different, and not very good, ways of accessing the data when needed. It is even worse if you have multiple accounts.

    Observe centralizes all of our data from AWS and elsewhere, giving us a single tool that our team needs to learn and a single source of truth for visibility into our environments. This centralization has facilitated easier onboarding of new users and better visibility for operations, security, and compliance. Observe has made all this data easy to find, analyze, and act upon.
    Evan H.

    Logging the Easy Way

    Reviewed on Jun 15, 2021
    Review provided by G2
    What do you like best about the product?
    After setting up simple collectors, you now have access to all of your data. You don't need to truncate or parse your logs until they get to the server. You can easily create worksheets and parse your data out. Their team is super knowledgeable and always able to help.
    What do you dislike about the product?
    The custom language takes a little getting used to, but you can also use right-click utils to do most.
    What problems is the product solving and how is that benefiting you?
    We are keeping an eye on our data. Errors that used to not get to us until a user let us know are now getting to our inbox when they happen.
    Recommendations to others considering the product:
    It's simple and growing; we have been more interactive with our logging data than we have in a while.
    View all reviews