Vector by Datadog Integrations

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world. Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% (11 9’s) of data durability.

Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world.

Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.

Axonius gives customers the confidence to control complexity by providing a system of record for all digital infrastructure. With a comprehensive understanding of all assets including devices, identities, software, SaaS applications, vulnerabilities, security controls, and the context between all assets, customers are able to mitigate threats, navigate risk, decrease incident response time, automate action, and inform business-level strategy — all while eliminating manual, repetitive tasks. Recognized as creators of the Cyber Asset Attack Surface Management (CAASM) category and innovators in SaaS Management Platform (SMP) and SaaS Security Posture Management (SSPM), Axonius is deployed in minutes and integrates with hundreds of data sources to provide a comprehensive asset inventory, uncover gaps, and automatically enforce policies and automate action.

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/

Uptrace is an OpenTelemetry-based observability platform that helps you monitor, understand, and optimize complex distributed systems. Monitor your entire application stack on one compact and informative dashboard. You get a quick overview for all your services, hosts, and systems. Distributed tracing allows you to see how a request progresses through different services and components, the timing of each operation, any logs and errors as they occur. Metrics allow you to quickly and efficiently measure, visualize, and monitor various operations using percentiles, heatmaps, and histograms. Recover from incidents faster by receiving a notification when your app is down or a performance anomaly is detected. You can monitor everything using the same query language: spans, logs, errors, and metrics.