Alternatives to Bigpanda logo

Alternatives to Bigpanda

PagerDuty, Datadog, Splunk, OpsGenie, and VictorOps are the most popular alternatives and competitors to Bigpanda.
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What is Bigpanda and what are its top alternatives?

Bigpanda helps you manage and respond to ops incidents faster. All your alerts: organized, assignable, trackable, snoozeable, and updated in real-time.
Bigpanda is a tool in the Monitoring Aggregation category of a tech stack.

Top Alternatives to Bigpanda

  • PagerDuty

    PagerDuty

    PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem. ...

  • Datadog

    Datadog

    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog! ...

  • Splunk

    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • OpsGenie

    OpsGenie

    OpsGenie is a cloud-based service for dev & ops teams, providing reliable alerts, on-call schedule management, and escalations. OpsGenie integrates with monitoring tools & services and ensures that the right people are at the right time. ...

  • VictorOps

    VictorOps

    VictorOps is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one. ...

  • Healthchecks.io

    Healthchecks.io

    Healthchecks.io is a monitoring service for your cron jobs, background services and scheduled tasks. It works by listening for HTTP "pings" from your services. You can set up various alert methods: email, Slack, Telegram, PagerDuty, etc. ...

  • Cronitor

    Cronitor

    Monitoring systems are often complex and require a strong sysadmin background to properly configure and maintain. Cronitor replaces all this with a simple service that anyone can set up. Receive email/sms notifications if your jobs don't run, run too slow, or finish too quickly. ...

  • AlertOps

    AlertOps

    It is an alert aggregation and incident management service for IT and DevOps teams. It is a real-time SaaS platform that combines collaboration with alert management so you can handle critical incidents as they occur. With our quick escalations, the right alerts are delivered to the right people enabling increased agility to your team. Our mobile app and integrations allow you to get alerts through SMS, push notifications, and email so you never again miss a critical alert. ...

Bigpanda alternatives & related posts

PagerDuty logo

PagerDuty

895
588
118
Incident management with powerful visibility, reliable alerting, and improved collaboration
895
588
+ 1
118
PROS OF PAGERDUTY
  • 54
    Just works
  • 23
    Easy configuration
  • 14
    Awesome alerting hub
  • 11
    Fantastic Alert aggregation and on call management
  • 9
    User-customizable alerting modes
  • 4
    Awesome tool for alerting and monitoring. Love it
  • 3
    Most reliable out of the three and it isn't even close
CONS OF PAGERDUTY
  • 7
    Expensive
  • 3
    Ugly UI

related PagerDuty posts

Robert Zuber

Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

See more

Data science and engineering teams at Lyft maintain several big data pipelines that serve as the foundation for various types of analysis throughout the business.

Apache Airflow sits at the center of this big data infrastructure, allowing users to “programmatically author, schedule, and monitor data pipelines.” Airflow is an open source tool, and “Lyft is the very first Airflow adopter in production since the project was open sourced around three years ago.”

There are several key components of the architecture. A web UI allows users to view the status of their queries, along with an audit trail of any modifications the query. A metadata database stores things like job status and task instance status. A multi-process scheduler handles job requests, and triggers the executor to execute those tasks.

Airflow supports several executors, though Lyft uses CeleryExecutor to scale task execution in production. Airflow is deployed to three Amazon Auto Scaling Groups, with each associated with a celery queue.

Audit logs supplied to the web UI are powered by the existing Airflow audit logs as well as Flask signal.

Datadog, Statsd, Grafana, and PagerDuty are all used to monitor the Airflow system.

See more
Datadog logo

Datadog

5.7K
4.9K
789
Unify logs, metrics, and traces from across your distributed infrastructure.
5.7K
4.9K
+ 1
789
PROS OF DATADOG
  • 132
    Monitoring for many apps (databases, web servers, etc)
  • 104
    Easy setup
  • 84
    Powerful ui
  • 81
    Powerful integrations
  • 67
    Great value
  • 52
    Great visualization
  • 43
    Events + metrics = clarity
  • 40
    Custom metrics
  • 39
    Notifications
  • 37
    Flexibility
  • 17
    Free & paid plans
  • 14
    Great customer support
  • 13
    Makes my life easier
  • 8
    Easy setup and plugins
  • 8
    Adapts automatically as i scale up
  • 6
    Super easy and powerful
  • 5
    AWS support
  • 5
    In-context collaboration
  • 4
    Rich in features
  • 3
    Docker support
  • 3
    Cost
  • 3
    Best than others
  • 2
    Expensive
  • 2
    Easy to Analyze
  • 2
    Good for Startups
  • 2
    Full visibility of applications
  • 2
    Cute logo
  • 2
    Source control and bug tracking
  • 2
    Automation tools
  • 2
    Monitor almost everything
  • 2
    Simple, powerful, great for infra
  • 2
    Free setup
  • 1
    Best in the field
CONS OF DATADOG
  • 16
    Expensive
  • 3
    No errors exception tracking
  • 1
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated

related Datadog posts

Robert Zuber

Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

See more

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

See more
Splunk logo

Splunk

423
663
11
Search, monitor, analyze and visualize machine data
423
663
+ 1
11
PROS OF SPLUNK
  • 2
    API for searching logs, running reports
  • 1
    Query engine supports joining, aggregation, stats, etc
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Alert system based on custom query results
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Ability to style search results into reports
  • 1
    Rich GUI for searching live logs
CONS OF SPLUNK
  • 1
    Splunk query language rich so lots to learn

related Splunk posts

Shared insights
on
Kibana
Splunk
Grafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

See more
OpsGenie logo

OpsGenie

207
184
23
Alerting and On-Call Management for Dev&Ops Teams
207
184
+ 1
23
PROS OF OPSGENIE
  • 5
    Two-way slack integration
  • 4
    Solid scheduling and team management support
  • 4
    Strong API
  • 3
    Strong, easy, fast, fits
  • 3
    Two-way nagios integration
  • 2
    Complete Incident Response Orchestration Platform
  • 2
    Free tier
CONS OF OPSGENIE
    Be the first to leave a con

    related OpsGenie posts

    VictorOps logo

    VictorOps

    82
    101
    30
    We make on-call suck less & help teams to solve problems faster.
    82
    101
    + 1
    30
    PROS OF VICTOROPS
    • 7
      The transmogrifier is a game changer
    • 6
      Great Team, Great Product
    • 5
      Free tier
    • 3
      Much better than ANY of the alternatives. Todd is GREAT
    • 3
      Great tiered escalation management
    • 2
      Android app with Wear integration
    • 2
      On-call routing and the timeline is brilliant
    • 1
      Awesome Team always updating
    • 1
      Nice UI
    CONS OF VICTOROPS
      Be the first to leave a con

      related VictorOps posts

      Healthchecks.io logo

      Healthchecks.io

      27
      41
      9
      Cron Monitoring. Get Notified When Your Cron Jobs Fail.
      27
      41
      + 1
      9
      PROS OF HEALTHCHECKS.IO
      • 3
        Can be self-hosted
      • 2
        Great value
      • 2
        Free tier
      • 2
        Easy to understand
      CONS OF HEALTHCHECKS.IO
        Be the first to leave a con

        related Healthchecks.io posts

        Cronitor logo

        Cronitor

        12
        14
        3
        Monitor cron jobs, daemons and almost anything else
        12
        14
        + 1
        3
        PROS OF CRONITOR
        • 2
          Quick and helpful support
        • 1
          Simple and direct
        CONS OF CRONITOR
        • 0
          Pricey

        related Cronitor posts

        AlertOps   logo

        AlertOps

        7
        13
        0
        Helps IT Operations manage and optimize their alerts from various monitoring systems
        7
        13
        + 1
        0
        PROS OF ALERTOPS
          Be the first to leave a pro
          CONS OF ALERTOPS
            Be the first to leave a con

            related AlertOps posts