New Relic Integrations

IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor.

A multi-cloud service networking platform to connect and secure services across any runtime platform and public or private cloud. Real-time health and location information of all services. Progressive delivery and zero trust security with less overhead. Receive peace of mind that all HCP connections are secured out of the box. Gain insight into service health and performance metrics with built-in visualization directly in the Consul UI or by exporting metrics to a third-party solution. Many modern applications have migrated towards decentralized architectures as opposed to traditional monolithic architectures. This is especially true with microservices. Since applications are composed of many inter-dependent services, there's a need to have a topological view of the services and their dependencies. Furthermore, there is a desire to have insight into health and performance metrics for the different services.

Internet Information Services (IIS) for Windows® Server is a flexible, secure and manageable Web server for hosting anything on the Web. From media streaming to web applications, IIS's scalable and open architecture is ready to handle the most demanding tasks.

Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands. Use Amazon SQS to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. SQS lets you decouple application components so that they run and fail independently, increasing the overall fault tolerance of the system.

Cloud Functions has a simple and intuitive developer experience. Just write your code and let Google Cloud handle the operational infrastructure. Develop faster by writing and running small code snippets that respond to events. Connect to Google Cloud or third-party cloud services via triggers to streamline challenging orchestration problems.

Amazon Simple Notification Service (SNS) is a fully managed messaging service for both system-to-system and app-to-person (A2P) communication. It enables you to communicate between systems through publish/subscribe (pub/sub) patterns that enable messaging between decoupled microservice applications or to communicate directly to users via SMS, mobile push and email. The system-to-system pub/sub functionality provides topics for high-throughput, push-based, many-to-many messaging. Using Amazon SNS topics, your publisher systems can fanout messages to a large number of subscriber systems or customer endpoints including Amazon SQS queues, AWS Lambda functions and HTTP/S, for parallel processing. The A2P messaging functionality enables you to send messages to users at scale using either a pub/sub pattern or direct-publish messages using a single API.

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS. With a few clicks in the Amazon MQ Console, Amazon MQ provisions your broker with support for version upgrades, so you can always use the latest version that Amazon MQ supports. Once you configure your broker, your applications can produce and consume messages.

AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.

Discover a robust, bare-metal hypervisor that installs directly onto your physical server. With direct access to and control of underlying resources, VMware ESXi effectively partitions hardware to consolidate applications and cut costs. It’s the industry leader for efficient architecture, setting the standard for reliability, performance, and support. IT teams are under constant pressure to meet fluctuating market trends and heightened customer demands. At the same time, they must stretch IT resources to accommodate increasingly complex projects. Fortunately, ESXi helps balance the need for both better business outcomes and IT savings.

Azure VPN Gateway connects your on-premises networks to Azure through Site-to-Site VPNs in a similar way that you set up and connect to a remote branch office. The connectivity is secure and uses the industry-standard protocols Internet Protocol Security (IPsec) and Internet Key Exchange (IKE). Point-to-Site VPN lets you connect to your virtual machines on Azure virtual networks from anywhere, whether you are on the road, working from your favorite café, managing your deployment, or doing a demo for your customers.

Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest. Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives. Data Factory can help independent software vendors (ISVs) enrich their SaaS apps with integrated hybrid data as to deliver data-driven user experiences. Pre-built connectors and integration at scale enable you to focus on your users while Data Factory takes care of the rest.

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.

The fastest way to integrate APIs and run code. Pipedream is a serverless integration and compute platform that makes it easy to connect apps and develop event-driven workflows. Event sources turn any API into a real-time event stream. Create event sources to listen for new Tweets, Github events, Airtable records, RSS items, webhook events and more. Inspect events in a human-friendly way, trigger Node.js workflows on every event, or consume events in your own app via API. Workflows are composed of Node.js code steps that run on every event. Write your own Node.js (and use any npm package) or reuse actions that scaffold popular APIs. Trigger via sources or a custom URL, email address, SDK code or schedule. Auth apps once, connect to those apps in any workflow. Pipedream supports OAuth and key-based auth, and handles the OAuth flow and token refresh for you. Just link accounts to steps and reference the relevant auth info in code.

StatusTicker allows you to follow and monitor the statuses of your most critical services, all in one place. Use your Ticker on a screen in your office, and get real-time notifications sent to you and your team by email, SMS, Slack, and webhook.

Elastic Load Balancing automatically routes incoming application traffic across multiple destinations, such as Amazon EC2 instances, containers, IP addresses, Lambda functions, and virtual appliances. You can control the variable load of your application traffic in a single zone or in multiple Availability Zones. Elastic Load Balancing offers four types of load balancers that have the necessary level of high availability, automatic scalability, and security to make your applications fault tolerant. Elastic Load Balancing is part of the AWS network, with native knowledge of fault limits like AZ to keep your applications available in one region, without requiring Global Server Load Balancing (GSLB). ELB is also a fully managed service, which means you can focus on delivering applications and not installing fleets of load balancers. Capacity is automatically added and removed based on the utilization of the underlying application servers.

Scalable and secure entry point for fast delivery of your global applications. Easily join your distributed microservice architectures into a single global application using HTTP load balancing and path-based routing rules. Automate turning up new regions and scale-out with API-driven global actions, and independent fault-tolerance to your back end microservices in Azure—or anywhere. Deliver and protect your global application close to your end users with a "battle-tested" service built on world-class Microsoft Global Network infrastructure. Always keep your traffic on the best path to your app, improve your service scale, reduce latency, and increase throughput for your global users with edge load balancing and application acceleration. Easily manage domain mapping and traffic to your microservice backends using one central, global dashboard.

Datastore is a highly scalable NoSQL database for your applications. Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load. Datastore provides a myriad of capabilities such as ACID transactions, SQL-like queries, indexes, and much more. With Datastore's RESTful interface, data can easily be accessed by any deployment target. You can build solutions that span across App Engine and Compute Engine and rely on Datastore as the integration point. Focus on building your applications without worrying about provisioning and load anticipation. Datastore scales seamlessly and automatically with your data, allowing applications to maintain high performance as they receive more traffic.

As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service. Superior throughput and performance to handle millions of requests per second with sub-millisecond latency. Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development. RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming. Powerful capabilities including clustering, built-in replication, Redis on Flash, and availability of up to 99.99 percent. Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances.

AWS Personal Health Dashboard, technology and tools to monitor, manage, and optimize your AWS environment. AWS Personal Health Dashboard provides alerts and remediation guidance when AWS is experiencing events that may impact you. While the Service Health Dashboard displays the general status of AWS services, Personal Health Dashboard gives you a personalized view into the performance and availability of the AWS services underlying your AWS resources. The dashboard displays relevant and timely information to help you manage events in progress, and provides proactive notification to help you plan for scheduled activities. With Personal Health Dashboard, alerts are triggered by changes in the health of AWS resources, giving you event visibility, and guidance to help quickly diagnose and resolve issues. AWS Personal Health Dashboard gives you fine-grained access control so that you can setup permissions based on event metadata.

Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.

Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.

Control your cloud with the top software for automated cloud governance. Apply cloud rules (like, "deny creation of public objects") just once, and they'll apply automatically on new accounts. Plus, see all your policies right on your org chart. Comprehensive Cloud Boundaries. Self-Service Account Provision. Detailed Org Chart View. Get alerts or cut off spending when you hit your limit. Trim 30% off your total cloud bill. And create spend plans that match your real-life plan, across ALL your cloud providers. Use our compliance checks to auto-align with established standards like NIST and CIS or build your own from scratch. Then, fix issues automatically or on-demand in the dashboard. Start provisioning auto-governed accounts, running compliance checks, and getting financial control in the cloud today. If you aren't impressed, we'll eat our hat. We automate the provisioning of cloud accounts and dramatically reduce your set-up time.

StackPulse automates and orchestrates incident response and management, enabling a continuous approach to software services reliability. The StackPulse platform gives SREs, developers and on-callers the context and control necessary to analyze, respond to, and resolve incidents across the entire stack, at any scale. StackPulse transforms how engineering and operations teams operate software and infrastructure services. Our Platform makes it easy to get started collaborating with a suite of incident management tools, from automated war room creation, to data capture and auto-generated postmortems. The data captured during these incidents then generates recommendations for playbooks and triggers that result in significant reductions in MTTR or improvements in SLO adherence. StackPulse identifies risk based on specific patterns of your organization’s unique monitoring, infrastructure, and operational data, and then recommends automated playbooks tailored to your organization.

HCL MyXalytics, a part of Intelligent Full Stack Observability offering under HCLSoftware AI & Intelligent Operations framework. It is a Unified Reporting & Predictive Analytics Software. It empowers decision-makers with the clarity they need to drive continuous operational improvements, optimize costs, and minimize risk.

Take advantage of the tools included in your Azure subscription to get more value out of the cloud and implement financial governance in your organization. Track resource usage and manage costs across all your clouds with a single, unified view, and access rich operational and financial insights to make informed decisions. Implement governance policies for effective enterprise cloud cost management, and increase accountability with budgets, cost allocation, and chargebacks. Improve the return on your cloud investment by using continuous cost optimization and industry best practices. Manage costs across Azure and AWS from a single location. Get insights based on data from both clouds to simplify your cost management processes.

Mule, the runtime engine of Anypoint Platform, is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications together quickly and easily, enabling them to exchange data. It enables easy integration of existing systems, regardless of the different technologies that the applications use, including JMS, Web Services, JDBC, HTTP, and more. The ESB can be deployed anywhere, can integrate and orchestrate events in real time or in batch, and has universal connectivity. The key advantage of an ESB is that it allows different applications to communicate with each other by acting as a transit system for carrying data between applications within your enterprise or across the Internet. Expose and host reusable services, using the ESB as a lightweight service container. Shield services from message formats and protocols, separate business logic from messaging, and enable location-independent service calls.

Red Hat Enterprise Linux is an enterprise Linux operating system, certified on hundreds of clouds and with thousands of vendors. Red Hat Enterprise Linux provides a consistent foundation across environments and the tools needed to deliver services and workloads faster for any application. Red Hat Enterprise Linux reduces deployment friction and costs while speeding time to value for critical workloads, enabling development and operations teams to innovate together in any environment. Red Hat Enterprise Linux extends your hybrid cloud infrastructure to the edge—across hundreds of thousands of nodes all over the world. Create edge-optimized OS images, minimize workload interruptions caused by OS updates, transfer system updates more efficiently, and have confidence in automatic health checks and rollbacks. Run purpose-built command line utilities to automate many inventory and remediation steps associated with upgrading your subscription or migrating from another Linux distro.

Ozone platform helps enterprises to ship modern applications quickly, securely and reliably. Ozone removes the unwanted headache of managing too many DevOps tools and makes it super easy for anyone to deploy applications on Kubernetes clusters. Just integrate all your existing DevOps tools and automate your application delivery process end-to-end. Accelerate deployments with automated pipeline workflows and on demand infrastructure management with zero downtime. Prevent business losses by enforcing governance and compliance policy for app deployments at scale. Single pane of glass where engineering, DevOps and Security teams can collaborate on application releases in realtime.

A single VPC can span multiple regions without communicating across the public internet. For on-premises, you can share a connection between VPC and on-premises resources with all regions in a single VPC. With a single VPC for an entire organization, teams can be isolated within projects, with separate billing and quotas, yet still maintain a shared private IP space and access to commonly used services. Google Cloud VPCs let you increase the IP space of any subnets without any workload shutdown or downtime. This gives you flexibility and growth options to meet your needs. VPC can automatically set up your virtual topology, configuring prefix ranges for your subnets and network policies, or you can configure your own. You can also expand CIDR ranges without downtime.

Azure Virtual Network gives you an isolated and highly-secure environment to run your virtual machines and applications. Use your private IP addresses and define subnets, access control policies, and more. Use Virtual Network to treat Azure the same as you would your own datacenter. Traffic between Azure resources in a single region, or in multiple regions, stays in the Azure network—intra-Azure traffic doesn’t flow over the Internet. In Azure, traffic for virtual machine-to-virtual machine, storage, and SQL communication only traverses the Azure network, regardless of the source and destination Azure region. Inter-region virtual network-to-virtual network traffic also flows entirely across the Azure network. Use Virtual Network to extend your on-premises IT environment into the cloud, like you set up and connect to a remote branch office. You have options to securely connect to a virtual network—choose an IPsec VPN or a private connection by using Azure ExpressRoute.

Mobile apps with HTML, CSS & JS. Target multiple platforms with one code base. Free and open source. Reusable code across platforms, support for offline scenarios, access native device APIs. Cordova command-line runs on Node.js and is available on NPM. Follow platform specific guides to install additional platform dependencies. Create a blank Cordova project using the command-line tool. Navigate to the directory where you wish to create your project and type cordova create <path>. After creating a Cordova project, navigate to the project directory. From the project directory, you need to add a platform for which you want to build your app. Cordova wraps your HTML/JavaScript app into a native container which can access the device functions of several platforms. These functions are exposed via a unified JavaScript API, allowing you to easily write one set of code to target nearly every phone or tablet on the market today and publish to their app stores.

Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. Amazon QLDB can be used to track each and every application data change and maintains a complete and verifiable history of changes over time. Ledgers are typically used to record a history of economic and financial activity in an organization. Many organizations build applications with ledger-like functionality because they want to maintain an accurate history of their applications' data, for example, tracking the history of credits and debits in banking transactions, verifying the data lineage of an insurance claim, or tracing movement of an item in a supply chain network. Amazon QLDB is a new class of database that eliminates the need to engage in the complex development effort of building your own ledger-like applications.

Activate customer journeys with complete visibility using infrastructure-as-code. Blotout’s SDK offers companies all of the analytics and remarketing tools they are accustomed to, while offering best-in-class privacy preservation for the company’s users. Blotout’s SDK is out of the box compliant with GDPR, CCPA & COPPA. Blotout’s SDK uses on-device, distributed edge computing for analytics, messaging and remarketing, all without using user personal data, device IDs or IP addresses. Measure, attribute, optimize, and activate customer data with 100% customer coverage. The only stack that gives you the complete customer lifecycle by unifying event, online, and offline data sources. Establish a trusted data relationship with your customers to build loyalty and maintain compliance with the GDPR and global privacy laws.

Circonus IRONdb makes it easy to handle and store unlimited volumes of telemetry data, easily handling billions of metric streams. Circonus IRONdb enables users to identify areas of opportunity and challenge in real time, providing forensic, predictive, and automated analytics capabilities that no other product can match. Rely on machine learning to automatically set a “new normal” as your data and operations dynamically change. Circonus IRONdb integrates with Grafana, which has native support for our analytics query language. We are also compatible with other visualization apps, such as Graphite-web. Circonus IRONdb keeps your data safe by storing multiple copies of your data in a cluster of IRONdb nodes. System administrators typically manage clustering, often spending significant time maintaining it and keeping it working. Circonus IRONdb allows operators to set and forget their cluster, and stop wasting resources manually managing their time series data store.

As an asynchronous event-driven JavaScript runtime, Node.js is designed to build scalable network applications. Upon each connection, the callback is fired, but if there is no work to be done, Node.js will sleep. This is in contrast to today's more common concurrency model, in which OS threads are employed. Thread-based networking is relatively inefficient and very difficult to use. Furthermore, users of Node.js are free from worries of dead-locking the process, since there are no locks. Almost no function in Node.js directly performs I/O, so the process never blocks except when the I/O is performed using synchronous methods of Node.js standard library. Because nothing blocks, scalable systems are very reasonable to develop in Node.js. Node.js is similar in design to, and influenced by, systems like Ruby's Event Machine and Python's Twisted. Node.js takes the event model a bit further. It presents an event loop as a runtime construct instead of as a library.

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Tornado is different from most Python web frameworks. It is not based on WSGI, and it is typically run with only one thread per process. While some support of WSGI is available in the tornado.wsgi module, it is not a focus of development and most applications should be written to use Tornado’s own interfaces (such as tornado.web) directly instead of using WSGI. In general, Tornado code is not thread-safe. Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed freely with Tornado.

Jetty provides a web server and servlet container, additionally providing support for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS and many other integrations. These components are open source and are freely available for commercial use and distribution. Jetty is used in a wide variety of projects and products, both in development and production. Jetty has long been loved by developers due to its long history of being easily embedded in devices, tools, frameworks, application servers, and modern cloud services. Full-featured and standards-based. Open source and commercially usable, flexible and extensible, small footprint, embeddable, asynchronous, enterprise scalable, and dual-licensed under Apache and Eclipse. Large clusters, such as Facebook Presto. Cloud computing, such as Google AppEngine. With the direction of Java and the JakartaEE project (formerly JavaEE) in 2020, the current recommended version of Jetty for use depends upon the servlet API version, desired licensing, etc.

Whether you are a maker creating your next project's website or you are a designer making websites for customers, you will love Silex. Use the instance provided Silex Labs for free, no installation, store your data in your Dropbox, Owncloud, GitHub, or FTP, get started immediately! Use the desktop version of Silex to work offline, store your data on your computer, Windows, MacOS, and Linux are supported. Use the 1 click install, the docker image or just any server to create an instance of Silex under your own name, for your users or just for hacking. Use npm to install Silex on your local computer or include it in a project, then run it with specific parameters or even replace some parts of it. Freelancers, agencies, hosting companies, Silex is the best at being customized, white-labeled and integrated into your infrastructure. Silex is free and open source because free minds need to have free tools.

Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging.

Selector’s software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may harvest data from router logs, device or network metrics, or device configurations. Once collected, Selector Analytics normalizes, filters, clusters, and correlates metrics, events, and alarms using pre-built workflows to draw actionable insights. Selector Analytics then uses machine learning-based data analytics to compare metrics and events and conduct automated anomaly detection.

Use Azure ExpressRoute to create private connections between Azure datacenters and infrastructure on your premises or in a colocation environment. ExpressRoute connections don't go over the public internet, and they offer more reliability, faster speeds, and lower latencies than typical internet connections. In some cases, using ExpressRoute connections to transfer data between on-premises systems and Azure can give you significant cost benefits. Use ExpressRoute to both connect and add compute and storage capacity to your existing datacenters. With high throughput and fast latencies, Azure will feel like a natural extension to or between your datacenters, so you enjoy the scale and economics of the public cloud without having to compromise on network performance.

Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution.

Meltano provides the ultimate flexibility in deployment options. Own your data stack, end to end. Ever growing connector library of 300+ connectors have been running in production for years. Run workflows in isolated environments, execute end-to-end tests, and version control everything. Open source gives you the power to build your ideal data stack. Define your entire project as code and collaborate confidently with your team. The Meltano CLI enables you to rapidly create your project, making it easy to start replicating data. Meltano is designed to be the best way to run dbt to manage your transformations. Your entire data stack is defined in your project, making it simple to deploy it to production. Validate your changes in development before moving to CI, and in staging before moving to production.

C++ is a simple and clear language in its expressions. It is true that a piece of code written with C++ may be seen by a stranger of programming a bit more cryptic than some other languages due to the intensive use of special characters ({}[]*&!|...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. Also, the simplification of the input/output interface of C++ in comparison to C and the incorporation of the standard template library in the language, makes the communication and manipulation of data in a program written in C++ as simple as in other languages, without losing the power it offers. It is a programming model that treats programming from a perspective where each component is considered an object, with its own properties and methods, replacing or complementing structured programming paradigm, where the focus was on procedures and parameters.

DailyEdition curates your operational data into compelling stories that keep you updated on the status of your business critical KPIs. Our proprietary Natural Language Generation system converts statistical data from your systems of record into story formed narratives along with meaningful visualizations which are delivered in a newsfeed. Staying up to date and informed on the performance of your business is now as easy as reading the news.

The only single-platform solution for setup and provisioning, financial management, and compliance. Kion offers the only single-platform approach to cloud enablement for AWS, Azure, and Google Cloud, transcending cloud management and cloud governance by offering all three pillars necessary for total cloud control. Provision accounts, get enterprise-wide visibility, and fully integrate the cloud with your tech stack to automate the full cloud lifecycle. Kion helps you start correctly from day 1 in the cloud by automating the provisioning of accounts with the proper controls around allowed services and budget. Prevent, detect, report, and remediate issues to comply with industry standards and business policies. Allocate and track spending, get real-time and forecasted data, identify savings opportunities, and enforce budgets. We deliver more than just the features to manage and govern your cloud.

Cortex Internal Developer Portal makes it easy for engineering organizations to gain visibility into their services and deliver high quality software. Scorecards enable teams to drive what matters most to them – including service quality, production readiness standards, and migrations. Cortex’s service catalog integrates with the most popular engineering tools, giving teams an easy way to understand everything about their architecture. Teams enable organizations to drive a sense of ownership and pride as they improve service quality. Scaffolder lets developers scaffold a new service in less than five minutes using custom templates crafted by your team.

Simply react to messages with an emoji to automatically pin to your retrospective timeline. Memorizing and following hard-to-find incident runbooks are inefficient and inconsistent. Build workflows for setting reminders, inviting responders, posting checklists, sending out notifications, and more. Leverage our best practice Workflow templates or customize them to fit your exact incident process today with endless combinations. Assign roles to quickly determine who is doing what at a glance. Automatically generate retrospective templates, timelines, and incident details, in seconds. Focus on what you do best, learning from the incident and we’ll capture the rest. Use our drag-and-drop workflow creator to define automated runbooks for every part of the incident process. Automatically trigger specific runbooks based on incident conditions, such as by severity or affected service, instead of scrolling through Google Docs/Confluence.

Reduce manual efforts, lower costs and strengthen trust with customers with no-code automation workflows. Elevate your security Governance, Risk, and Compliance (GRC) maturity through simplified and automated cross-functional processes. Everything you need to know about achieving and maintaining compliance across all security frameworks and IT environments. Get in-depth ongoing insight into your compliance and risk posture. Save thousands of hours of manual work by leveraging the power of true automation. Put security policies and procedures into action to maintain accountability. At last, a complete audit automation experience, including audit scope generation and customization, 3600 evidence collection across data silos, in-context gap analysis, and auditor-trusted reports. Because audits can be easier and way more efficient than they are today. Transform chaos into compliance and enjoy instant insights on your employee and user base access privileges and permissions.