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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Sensu vs Splunk Cloud

Sensu vs Splunk Cloud

OverviewDecisionsComparisonAlternatives

Overview

Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15
Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386

Sensu vs Splunk Cloud: What are the differences?

Introduction:

Sensu and Splunk Cloud are both widely used tools for monitoring and analyzing data. However, they have some key differences that set them apart. Here are 6 of the key differences between Sensu and Splunk Cloud:

  1. Architecture: Sensu is based on a highly modular and flexible architecture, allowing for easy customization and scalability. It uses a distributed design with separate components for server, client, and transport layers. On the other hand, Splunk Cloud follows a more centralized architecture where all data is sent to a central Splunk Cloud instance for processing and analysis.

  2. Data Collection and Processing: Sensu collects and processes data using custom plugins that can be written in various programming languages. It offers greater flexibility in terms of data collection methods. Splunk Cloud, on the other hand, relies on its proprietary Splunk Forwarder for data collection, which can handle a wide range of data sources but may have some limitations in terms of customization.

  3. Alerting and Event Handling: Sensu has a robust event handling and alerting system built into its core, allowing for real-time notifications and automated remediation actions. It supports various notification methods, such as email, SMS, or integration with third-party tools. Splunk Cloud also has a built-in alerting system, but it focuses more on correlation and analysis of events rather than real-time alerting and automated actions.

  4. Log Management and Search: Splunk Cloud is known for its powerful log management capabilities and search functionalities. It enables users to search, analyze, and visualize large volumes of log data in real-time. Sensu, on the other hand, does not have native log management capabilities, as its main focus is on monitoring and alerting.

  5. Cost and Licensing: Sensu has an open-source version (Sensu Core) that is available for free, with additional features and support available in its enterprise version (Sensu Go) under a subscription-based model. Splunk Cloud, on the other hand, is a commercial product that requires a paid subscription, with pricing based on data volume and usage.

  6. Community and Ecosystem: Sensu has an active and vibrant community, with a wide range of plugins and integrations available for various technologies and platforms. It also has a growing ecosystem of third-party extensions and add-ons. Splunk Cloud also has a large user community and marketplace, offering a variety of apps, add-ons, and integrations, but it may not have the same level of flexibility and extensibility as Sensu.

In summary, Sensu offers a highly modular and flexible architecture, customizable data collection methods, real-time alerting and event handling, while Splunk Cloud provides powerful log management and search capabilities, with a centralized architecture and a wide range of apps and integrations available.

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Advice on Splunk Cloud, Sensu

Jigar
Jigar

Security Software Engineer at Cisco

Jul 2, 2020

Needs adviceonAWS IAMAWS IAMAmazon EC2Amazon EC2Splunk CloudSplunk Cloud

We would like to detect unusual config changes that can potentially cause production outage.

Such as, SecurityGroup new allow/deny rule, AuthZ policy change, Secret key/certificate rotation, IP subnet add/drop. The problem is the source of all of these activities is different, i.e., AWS IAM, Amazon EC2, internal prod services, envoy sidecar, etc.

Which of the technology would be best suitable to detect only IMP events (not all activity) from various sources all workload running on AWS and also Splunk Cloud?

168k views168k
Comments

Detailed Comparison

Splunk Cloud
Splunk Cloud
Sensu
Sensu

If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Health checks & custom metrics; alerts & incident management; real-time inventory; auto-remediation & custom workflows; container monitoring; Kubernetes monitoring; telemetry & service health checking; multi-cloud monitoring
Statistics
GitHub Stars
-
GitHub Stars
2.9K
GitHub Forks
-
GitHub Forks
386
Stacks
170
Stacks
201
Followers
438
Followers
251
Votes
15
Votes
56
Pros & Cons
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Free
  • 3
    Powerful log analytics
  • 1
    Production debugger
  • 1
    Pci compliance
Pros
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
Cons
  • 1
    Plugins
  • 1
    Written in Go
Integrations
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail
ServiceNow.com
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty

What are some alternatives to Splunk Cloud, Sensu?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

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!

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

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