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What is ChaosSearch?
Log analytics doesn't need to be excessively costly. Numerous logging solutions depend on technologies such as Elasticsearch databases or Lucene indexes, which can drive up operational expenses significantly. ChaosSearch provides an innovative solution by rethinking the indexing approach, allowing us to pass on substantial savings to our customers. You can investigate our competitive pricing benefits using our comparison calculator. As a fully managed SaaS platform, ChaosSearch empowers users to focus on searching and analyzing data stored in AWS S3, eliminating the hassle of database maintenance and adjustments. By leveraging your existing AWS S3 infrastructure, we manage everything else for you. To grasp how our unique methodology and architecture can cater to the needs of modern data and analytics, make sure to check out this short video. ChaosSearch processes your data in its original state, enabling log, SQL, and machine learning analytics without requiring transformation, while also automatically identifying native schemas. This positions ChaosSearch as an excellent alternative to traditional Elasticsearch solutions. Moreover, the efficiency of our platform allows for seamless scalability of your analytics capabilities as your data requirements expand, ensuring that you are always equipped to handle growing workloads effectively.
What is Azure Chaos Studio?
Improving the resilience of applications can effectively be accomplished through chaos engineering and testing, which entails the deliberate introduction of faults that simulate real outages. Azure Chaos Studio acts as a robust platform for chaos engineering, enabling the detection of hidden issues throughout all phases of development, including production. By intentionally disrupting your applications, you can identify weaknesses and develop solutions to mitigate them before they impact your users. Experiment with your Azure applications by subjecting them to both authentic and simulated faults within a controlled setting, which enhances understanding of application durability. Observe the responses of your applications to various real-world challenges, including network latency, unanticipated storage failures, expired credentials, or even the total collapse of a data center, by utilizing chaos engineering methods. It is crucial to assess your products’ quality in ways that cater to your organization's specific requirements. Adopt a hypothesis-driven approach to bolster application resilience by integrating chaos testing into your CI/CD pipeline, thereby promoting a proactive stance in software development and deployment. This strategic amalgamation not only fortifies your applications but also cultivates a mindset of ongoing improvement and flexibility within your development teams, ensuring they remain equipped to handle future challenges effectively. Ultimately, embracing chaos engineering can lead to a more robust and reliable software ecosystem.
Integrations Supported
AWS CloudTrail
Amazon CloudFront
Amazon S3
Amazon Web Services (AWS)
Cloudflare
Fastly
Microsoft Azure
Opsgenie
PagerDuty
Slack
Integrations Supported
AWS CloudTrail
Amazon CloudFront
Amazon S3
Amazon Web Services (AWS)
Cloudflare
Fastly
Microsoft Azure
Opsgenie
PagerDuty
Slack
API Availability
Has API
API Availability
Has API
Pricing Information
$750 per month
Free Trial Offered?
Free Version
Pricing Information
$0.10 per action-minute
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
ChaosSearch
Date Founded
2016
Company Location
United States
Company Website
chaossearch.io
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/chaos-studio/
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Log Management
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs