Apache Mesos Integrations

The open-source observability platform everyone needs! Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: 💥 Collects metrics from 800+ integrations 💪 Real-Time, Low-Latency, High-Resolution 😶‍🌫️ Unsupervised Anomaly Detection 🔥 Powerful Visualization 🔔 Out of box Alerts 📖 systemd Journal Logs Explorer 😎 Low Maintenance ⭐ Open and Extensible Try Netdata today and feel the pulse of your infrastructure, with high-resolution metrics, journal logs and real-time visualizations.

Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.

Pliant’s solution for IT Process Automation simplifies, streamlines, and secures how teams build and deploy automation. Reduce human error, ensure compliance, and elevate your efficiency, with Pliant. Ingest existing automation and write new automation with single-pane orchestration. Ensure compliance using consistent, practical built-in governance. Pliant has abstracted thousands of vendor APIs to create intelligent action blocks allowing users to drag-and-drop blocks, rather than writing and rewriting lines of code. From a single platform, citizen developers are able to build consistent and meaningful automation across platforms, services, and applications in minutes — maximizing value across the entire technology stack in one place. ​With​ ​our​ ​ability​ ​to​ ​add​ ​new​ ​APIs​ ​in​ ​15​ ​business​ ​days,​ ​anything that​ ​is​ ​not​ ​already​ ​out​ ​of​ ​the​ ​box​ ​will​ ​be​ ​in​ ​an​ ​industry​ ​leading​ ​timeframe.

Fidelis Halo is a unified, SaaS-based cloud security platform that automates cloud computing security controls and compliance across servers, containers, and IaaS in any public, private, hybrid, and multi-cloud environment. With over 20,000 pre-configured rules and more than 150 policy templates that cover standards such as PCI, CIS, HIPAA, SOC, and DISA STIGs for IaaS services, Halo’s extensive automation capabilities streamline and accelerate workflows between InfoSec and DevOps. The comprehensive, bi-directional Halo API, developer SDK, and toolkit automate your security and compliance controls into your DevOps toolchain to identify critical vulnerabilities so they can be remediated prior to production. The free edition of Halo Cloud Secure includes full access to the Halo Cloud Secure CSPM service for up to 10 cloud service accounts across any mix of AWS, Azure, and GCP, at no cost to you, ever. Sign up now and start your journey to fully automated cloud security!

SolarWinds® AppOptics™ is a simple, powerful, and affordable SaaS-based infrastructure & application monitoring tool for custom on-premises, cloud, and hybrid systems. By enabling quick identification of performance problems across the stack from the application, to underlying infrastructure, down to the line of code, AppOptics helps reduce MTTR. AppOptics was thoughtfully designed for simple setup and use by all IT professionals with powerful features to quickly and automatically pinpoint performance issues removing the guesswork from troubleshooting. AppOptics enables you to align infrastructure and application performance objectives side by side with business objectives.

Riak® TS is the only enterprise-grade NoSQL time series database optimized specifically for IoT and Time Series data. It ingests, transforms, stores, and analyzes massive amounts of time series data. Riak TS is engineered to be faster than Cassandra. The Riak TS masterless architecture is designed to read and write data even in the event of hardware failures or network partitions. Data is evenly distributed across the Riak ring and, by default, there are three replicas of your data. This ensures at least one copy of your data is available for read operations. Riak TS is a distributed system with no central coordinator. It is easy to set up and operate. The masterless architecture makes it easy to add and remove nodes from a cluster. The masterless architecture of Riak TS makes it easy to add and remove nodes from your cluster. You can achieve predictable and near-linear scale by adding nodes using commodity hardware.

Kapacitor is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. Kapacitor can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript. Today’s modern applications require more than just dashboarding and operator alerts—they need the ability to trigger actions. Kapacitor’s alerting system follows a publish-subscribe design pattern. Alerts are published to topics and handlers subscribe to a topic. This pub/sub model and the ability for these to call User Defined Functions make Kapacitor very flexible to act as the control plane in your environment, performing tasks like auto-scaling, stock reordering, and IoT device control. Kapacitor provides a simple plugin architecture, or interface, that allows it to integrate with any anomaly detection engine.

Marathon is a production-grade container orchestration platform for Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos. High Availability. Marathon runs as an active/passive cluster with leader election for 100% uptime. Multiple container runtimes. Marathon has first-class support for both Mesos containers (using cgroups) and Docker. Stateful apps. Marathon can bind persistent storage volumes to your application. You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Beautiful and powerful UI. Service Discovery & Load Balancing. Several methods available. Health Checks. Evaluate your application’s health using HTTP or TCP checks. Event Subscription. Supply an HTTP endpoint to receive notifications - for example to integrate with an external load balancer. Metrics. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus.

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

witboost is a modular, scalable, fast, efficient data management system for your company to truly become data driven, reduce time-to-market, it expenditures and overheads. witboost comprises a series of modules. These are building blocks that can work as standalone solutions to address and solve a single need or problem, or they can be combined to create the perfect data management ecosystem for your company. Each module improves a specific data engineering function and they can be combined to create the perfect solution to answer your specific needs, guaranteeing a blazingly fact and smooth implementation, thus dramatically reducing time-to-market, time-to-value and consequently the TCO of your data engineering infrastructure. Smart Cities need digital twins to predict needs and avoid unforeseen problems, gathering data from thousands of sources and managing ever more complex telematics.

Solve your tooling complexity and overload with the simplicity of only one networking and security tool. Save time and swivel-chair fatigue from context switches as you consolidate. TF is a plugin integration overachiever, never implementing the bare minimum. Here is a sample of what it can do that most other SDN plugins can’t. Networks have borders that need crossing. Speaking the same language of proven open protocol standards in the control and data plane is TF’s specialty, so that your domain is never an island. Open source keeps innovation flowing from many directions, and provides the flexibility to shape the outcomes you need, or turn to vendors you trust. Option of Namespace isolation and per-microservice micro-segmentation with choice of TF tenants, networks or security rules

OES is highly available and scalable for increasing deployment workloads, and extensible to integrate with multiple SDLC tool chains. OES offers easy-to-define custom stages to parallely deploy into any number of targets and save time. Action such as rollback or roll forward or stopping of all the parallel deployments is easy and can be done with a click. Automate repeated activities in your SDLC process by the ability to create as many child pipelines and invoke them in the parent pipeline. OES is modular and can act as a central CD tool for many enterprises because it uses an API-based architecture. Developers across the team can easily integrate external services with Spinnaker services for deployment orchestration.

Apache OpenWhisk is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications. The OpenWhisk platform supports a programming model in which developers write functional logic (called Actions), in any supported programming language, that can be dynamically scheduled and run in response to associated events (via Triggers) from external sources (Feeds) or from HTTP requests. The project includes a REST API-based Command Line Interface (CLI) along with other tooling to support packaging, catalog services and many popular container deployment options. Since Apache OpenWhisk builds its components using containers it easily supports many deployment options both locally and within Cloud infrastructures. Options include many of today's popular Container frameworks.

Aurora runs applications and services across a shared pool of machines, and is responsible for keeping them running, forever. When machines experience failure, Aurora intelligently reschedules those jobs onto healthy machines. When updating a job, Aurora will detect the health and status of a deployment and automatically rollback if necessary. Aurora has a quota system to provide guaranteed resources for specific applications, and can support multiple users to deploy services. Services are highly-configurable via a DSL which supports templating, allowing you to establish common patterns and avoid redundant configurations. Aurora announces services to Apache ZooKeeper for discovery by clients like Finagle.

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers.