Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
Actioner
Zapier
PullNotifier
Workbot for Slack
Halp
Axolo for GitLab
Provision.ai
Make.com
Actioner is a no-code workflow automation platform. It allows you to connect your tools with each other and build human-in-the-loop automation.
Actioner works perfectly with Slack. It has an app directory (https://actioner.com/app-directory) full of Slack bots - these are built by the Actioner team using the platform. They are ready-to-use apps and just require you to connect Slack and the other tool you want to use in Slack.
With seamless integration, you can complete any task in your tool (HubSpot, Zendesk, Jira, PagerDuty, GitHub, Bitbucket, and more.) without leaving Slack. You can access a wide variety of use cases in our library (https://actioner.com/use-cases). You can explore use cases such as sales automation, incident management, ticket management, DevOps automation, pipeline and pull request management, and lots more.
Actioner allows you to turn Slack into a digital HQ with its extended capabilities to integrate any tool with open API with Slack and customize your Slack apps and workflows.
Prometheus
ActionerActioner's answer:
Actioner is a platform that allows users to build and automate workflows using AI from Slack. It also has an app directory full of pre-built workflows and apps tailored specifically for Slack.
Actioner's answer:
Actioner does not have a direct competitor. But why the answer to "why use Actioner?" is; is to establish an AI-first company culture, turn Slack into a digital HQ through running any business operations without leaving Slack.
Actioner's answer:
Our primary audience is AI enthusiasts, early adapters, tech geeks and of course Slack users.
Actioner's answer:
Actioner was found in 2021 by a group of Ex-Atlassian employees--A team who has founded and developed the leading incident management tool, OpsGenie.
Actioner's answer:
Actioner is used by various types of companies and industries, but for privacy concerns for now we prefer to not use any brand names.
Actioner's answer:
For storage: AWS DynamoDB, AWS S3, ElasticSearch For computing: AWS ECS Fargate + AWS Lambda For network: AWS Route 53, AWS Cloudfront, AWS API Gateway, AWS ELB For messaging: AWS SQS, AWS SNS, AWS Kinesis
I liked how Actioner abstracts the use cases with dedicated apps while it also provides the ability to customize the entire behavior with platform capabilities.
Have been using Actioner for our internal ticketing; and it's working great! Their support team is also top notch! Price is fair, too, very advantageous especially when you use multiple apps.
Based on our record, Prometheus seems to be more popular. It has been mentiond 300 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / 21 days ago
Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool โ it's an ecosystem. - Source: dev.to / 28 days ago
To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / about 1 month ago
In this post, we compare two forecasting models, Chronos (ChronosโBolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / about 2 months ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 2 months ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
PullNotifier - PullNotifier - a Github and Slack integration app. The most efficient Pull Request notifications on Slack -> PullNotifier allows you to see your team's latest pull request status without getting spammed with notifications.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Workbot for Slack - Work your apps from Slack