Business Software for New Relic

Datastore serves as a robust NoSQL database designed to accommodate the needs of your applications with remarkable scalability. It efficiently manages sharding and replication on its own, ensuring that you benefit from a database that is both highly durable and readily available, adapting to your application's demands as they grow. This platform offers a wealth of features, including ACID transactions, SQL-like querying capabilities, and indexing options, among others. By utilizing Datastore's RESTful interface, you can conveniently access your data across any deployment target. It enables the creation of solutions that integrate seamlessly between App Engine and Compute Engine, positioning Datastore as a central hub for your data needs. Concentrate on the development of your applications without the hassle of provisioning or anticipating load requirements. As your data expands, Datastore automatically and effortlessly adjusts, ensuring that performance remains optimal even during periods of increased traffic. Additionally, this flexibility allows developers to focus on innovation rather than infrastructure management.

As the volume of traffic and user demands on your application grows, enhance its performance in a straightforward and economical way. Implementing a caching layer within your application architecture can efficiently manage thousands of concurrent users, providing near-instantaneous response times, all while leveraging the advantages of a fully managed service. Achieve remarkable throughput and performance capable of processing millions of requests per second with sub-millisecond latency. This fully managed service includes automatic updates, patching, scaling, and provisioning, allowing you to concentrate on development without distraction. Integration of modules like RedisBloom, RediSearch, and RedisTimeSeries empowers your application with comprehensive capabilities for data analysis, search functionality, and real-time streaming. You will benefit from robust features such as clustering, built-in replication, Redis on Flash, and an impressive availability rate of up to 99.99 percent, ensuring reliability. Furthermore, by complementing services like Azure SQL Database and Azure Cosmos DB, you can enhance your data tier's throughput scalability at a more economical rate compared to merely expanding database instances. Ultimately, these enhancements not only improve the user experience but also position your application for future growth and adaptability.

Nobl9 Service level objectives platform converts your reliability goals into automatic action. Nobl9 is a platform that helps organizations set and understand their reliability goals. You can ensure reliable and balanced performance by monitoring the performance of your systems. The platform gathers metrics from all your existing monitoring systems and calculates the performance. SLOs can be defined in an expressive SLOs as-code language to enable automated actions when they are at risk. Nobl9 facilitates cross-team collaboration between various stakeholders to improve and maintain the reliability and efficiency of your service. Nobl9 historical and real-time reports provide clear data-driven solutions to critical questions such as "should we concentrate on features or technical debt?" or "are we wasting too much money on cloud resources?" By using the shared language SLOs, you can achieve the right balance between speed, safety, spend, and speed.

The AWS Personal Health Dashboard is a suite of technologies and tools designed to oversee, manage, and enhance your AWS ecosystem. This dashboard offers alerts and remediation advice whenever AWS encounters events that might influence your operations. In contrast to the Service Health Dashboard, which shows the overall status of AWS services, the Personal Health Dashboard provides a tailored perspective on the performance and availability of the AWS services that support your resources. It presents pertinent and timely data to assist you in handling ongoing events and offers proactive notifications to facilitate planning for upcoming activities. With this dashboard, alerts are generated based on modifications in the health of AWS resources, granting you visibility into events and guidance to swiftly identify and resolve problems. Additionally, the AWS Personal Health Dashboard allows for granular access control, enabling you to establish permissions that are based on specific event metadata, which can help enhance security and operational efficiency. By utilizing this tool, you can ensure a more robust management approach for your AWS environment.

CodeStream is a versatile open-source extension that enhances the functionality of IDEs like VS Code, Visual Studio, and JetBrains by integrating collaborative tools directly into the development environment. It streamlines workflows by allowing users to manage pull requests from GitHub, BitBucket, and GitLab, as well as handling issue tracking from platforms such as Jira, Trello, Asana, and several others. Additionally, CodeStream facilitates cohesive code discussions that link seamlessly with communication tools like Slack, Microsoft Teams, and email, while also providing in-editor notifications to keep developers informed. With CodeStream, programmers can quickly understand, review, and write code more efficiently, simplifying the process of getting answers to queries by merely selecting code and typing questions. It helps preserve valuable institutional knowledge by ensuring that discussions and insights are kept alongside the source code. Furthermore, the platform automatically mentions code authors based on git blame information, ensuring that relevant contributors are always in the loop. Conversations are persistently connected to specific code locations, maintaining context as branches evolve and new code is merged in, creating a dynamic and integrated development experience. This level of connectivity fosters a culture of collaboration and efficiency within development teams.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

Achieve precise visibility and policy application across every data endpoint in your system. This solution is tailored to facilitate your infrastructure-as-code processes and orchestration seamlessly. It possesses the ability to dynamically adjust to your workloads while maintaining sub-millisecond response times. Integration with your existing tools is effortless and requires no modifications to your applications. Strengthen your cloud security by implementing detailed data access policies and extending a Zero Trust approach to the data cloud. Safeguard your organization against potential data breaches, thereby enhancing customer trust and delivering reassurance. Designed to address the specific performance, deployment, and availability hurdles associated with the data cloud, Cyral provides a comprehensive view of your data ecosystem. Cyral’s lightweight, stateless data cloud sidecar acts as an interception service that offers real-time insights into all activities within the data cloud and ensures detailed access controls. Its high performance and scalability allow for efficient interception, effectively preventing threats and unauthorized access to your data that might otherwise remain unnoticed. In a rapidly evolving digital landscape, having such robust security measures in place is crucial for maintaining the integrity of your organization's data.

Designed on a container-based runtime, this platform enhances scalability and portability while automating essential business processes across any location. Upgrade your BizTalk Server applications by transitioning them to Logic Apps with the help of the BizTalk migration tool. Establish connections between logic apps and your virtual networks to integrate cloud-based and on-premises solutions in a smooth and secure manner. By containerizing your workflows, you can deploy and operate your applications in any environment—be it cloud, on-premises, or your preferred infrastructure. Implement CI/CD best practices to optimize your workflows and utilize built-in tools to ensure seamless and secure deployments. Logic applications can be deployed and executed in Azure, across various containers, and on local systems. Additionally, you can enable private endpoints, simplify virtual network access, and utilize deployment slots for better management. Develop, debug, and test applications on Windows, MacOS, and Linux using Visual Studio Code for maximum flexibility. By deploying multiple workflows within a single logic app, you can streamline automated deployments and enhance your CI/CD pipelines, making the overall process more efficient and manageable. Overall, this approach not only boosts productivity but also ensures that your applications are consistently up to date.

Event Hubs provides a fully managed service for real-time data ingestion that is easy to use, reliable, and highly scalable. It enables the streaming of millions of events every second from various sources, facilitating the creation of dynamic data pipelines that allow businesses to quickly address challenges. In times of crisis, you can continue data processing thanks to its geo-disaster recovery and geo-replication capabilities. Additionally, it integrates effortlessly with other Azure services, enabling users to derive valuable insights. Existing Apache Kafka clients can communicate with Event Hubs without requiring code alterations, offering a managed Kafka experience while eliminating the need to maintain individual clusters. Users can enjoy both real-time data ingestion and microbatching on the same stream, allowing them to concentrate on gaining insights rather than managing infrastructure. By leveraging Event Hubs, organizations can rapidly construct real-time big data pipelines and swiftly tackle business issues as they arise, enhancing their operational efficiency.

Manage your cloud environment effectively with leading software designed for automated cloud governance. Set cloud regulations, such as prohibiting the creation of public objects, only once, and they will automatically apply to all new accounts created subsequently. Additionally, you can view all your policies conveniently displayed on your organizational chart. Enjoy comprehensive cloud boundaries and enable self-service account provision while having access to a detailed overview of your organization. Receive alerts or halt spending as you approach your limits, potentially reducing your total cloud expenditure by 30%. Create financial plans that align seamlessly with your actual requirements across all cloud service providers. Leverage our compliance checks to ensure alignment with widely recognized standards like NIST and CIS, or design custom standards tailored to your specific needs. You can then address any compliance issues either automatically or manually through the dashboard. Get started today with provisioning auto-governed accounts, conducting compliance checks, and gaining financial oversight in the cloud. We’re so confident in our solution that if you’re not satisfied, we’ll eat our hat. By automating the provisioning process for cloud accounts, we significantly minimize your setup time, enabling a smoother transition to efficient cloud management.

StackPulse streamlines and enhances the processes of incident response and management, fostering a seamless commitment to the reliability of software services. It equips Site Reliability Engineers, developers, and on-call personnel with the essential context and authority to effectively analyze, address, and resolve incidents throughout the entire stack, regardless of scale. By revolutionizing how engineering and operations teams handle software and infrastructure services, StackPulse introduces a collaborative platform filled with various incident management tools. Users can effortlessly initiate teamwork through automated war room setups, efficient data collection, and auto-generated postmortem reports. The insights gathered during incidents pave the way for tailored recommendations on playbooks and triggers, leading to remarkable decreases in Mean Time to Recovery (MTTR) and enhanced adherence to Service Level Objectives (SLOs). Additionally, StackPulse identifies risks by analyzing unique patterns within an organization’s monitoring, infrastructure, and operational data, offering customized automated playbooks that suit specific organizational needs. This approach not only mitigates risks but also empowers teams to better manage their operational challenges.

Leverage the resources provided by your Azure subscription to enhance cloud value and establish financial governance within your organization. Monitor resource consumption and oversee expenses across all cloud platforms through a consolidated view, while gaining access to comprehensive operational and financial data to facilitate well-informed decision-making. Establish governance protocols for efficient enterprise cloud cost oversight, fostering accountability through budgets, cost distribution, and chargeback mechanisms. Optimize your cloud investment returns by embracing ongoing cost management strategies and adhering to industry standards. Centralize the management of expenses across both Azure and AWS to streamline your operations, and utilize insights derived from data across these platforms to simplify your cost oversight efforts. By doing so, you can ensure that your organization remains financially agile and responsive in a rapidly changing cloud environment.

OpsLevel is the most flexible Internal Developer Portal, helping teams streamline service ownership, automate catalog maintenance, and drive engineering excellence. With AI-powered insights, automation, and self-service workflows, OpsLevel eliminates bottlenecks—so developers can focus on building, not bureaucracy. Unlike fragmented spreadsheets or homegrown solutions, OpsLevel brings clarity to complex architectures, ensuring teams can enforce best practices, reduce incidents, and accelerate deployments. From onboarding to security, OpsLevel makes software delivery faster, more reliable, and more scalable.

Mule serves as the runtime engine for the Anypoint Platform, functioning as a nimble Java-based enterprise service bus (ESB) and integration platform that simplifies the process for developers to link applications efficiently, facilitating data exchange. This platform promotes seamless integration of diverse systems, irrespective of the various technologies involved, such as JMS, Web Services, JDBC, and HTTP, among others. Capable of being deployed in multiple environments, the ESB can manage and orchestrate events either in real time or in batch processes while offering universal connectivity. A significant benefit of utilizing an ESB is its ability to enable communication between disparate applications, functioning as a transit system that carries data across different applications within an organization or over the Internet. Furthermore, it allows for the exposure and hosting of reusable services by utilizing the ESB as a lightweight service container, while also providing a shield against various message formats and protocols. By decoupling business logic from messaging, the ESB empowers location-independent service calls, enhancing the flexibility and scalability of integration solutions. Overall, Mule enhances the capability of organizations to create a more interconnected digital ecosystem.

Red Hat Enterprise Linux serves as a robust operating system designed for enterprise use, with certifications spanning numerous cloud platforms and a vast array of vendors. It offers a reliable foundation that ensures consistency across different environments while equipping users with essential tools to accelerate the delivery of services and workloads for a wide range of applications. By minimizing deployment challenges and expenses, Red Hat Enterprise Linux enhances the speed at which value is realized for essential workloads, fostering collaboration and innovation among development and operations teams in various settings. Additionally, it enhances hybrid cloud infrastructures by extending capabilities to edge environments, reaching hundreds of thousands of nodes globally. Users can create OS images optimized for edge computing, reduce interruptions from OS updates, execute system updates with greater efficiency, and benefit from automatic health checks and rollback features. Furthermore, specialized command line tools are available to streamline inventory tasks and remediation processes linked to subscription upgrades or migrations from other Linux distributions, making the transition seamless and efficient. This versatility ensures that organizations can effectively manage their IT resources in a rapidly changing technological landscape.

A single Virtual Private Cloud (VPC) can extend across various regions while avoiding communication over the public internet. For on-premises setups, it is possible to facilitate a connection that links VPC resources with on-premises assets across all regions encompassed within a single VPC. By utilizing a unified VPC for an entire organization, different teams can operate independently within their projects, benefiting from distinct billing and quotas while still enjoying a shared private IP space and access to frequently used services. Google Cloud VPCs allow you to expand the IP address space of any subnet without requiring any shutdown of workloads or incurring downtime, providing significant flexibility and opportunities for growth to cater to your requirements. The VPC can automatically establish your virtual network topology by setting up prefix ranges for subnets and defining network policies, though you also have the option to manage configurations manually. Additionally, it is possible to enlarge CIDR ranges seamlessly, ensuring continuous operation. This capability enhances the overall efficiency of network management and resource allocation within the cloud environment.

Azure Virtual Network provides a secure and isolated space for deploying your virtual machines and applications. You can utilize private IP addresses and configure subnets along with access control policies, among other features. This service allows you to manage Azure similar to your own data center environment. All traffic between Azure resources, whether within a single region or across multiple regions, remains within the Azure network—meaning intra-Azure communications do not pass through the Internet. For virtual machine-to-virtual machine, storage, and SQL interactions, the data traverses solely the Azure network, irrespective of the originating or destination regions. Furthermore, inter-region traffic between virtual networks also occurs entirely within the Azure infrastructure. Virtual Network empowers you to seamlessly integrate your on-premises IT setup into the cloud, akin to connecting to a remote branch office. You can securely establish a connection to your virtual network by selecting either an IPsec VPN or a dedicated line with Azure ExpressRoute, ensuring optimal performance and security for your applications. This flexible connectivity enhances the overall efficiency of managing cloud resources and bolstering your operational capabilities.

Create cross-platform mobile applications using HTML, CSS, and JavaScript, enabling the use of a single codebase across multiple operating systems. This approach is both free and open-source, allowing for code reuse across various platforms while facilitating offline functionality and access to native device features. The Cordova command-line interface, which operates on Node.js and can be found on NPM, is essential for this process. To set up additional platform-specific dependencies, it's important to follow the provided installation guides for each platform. Begin by generating a blank Cordova project through the command-line tool; simply navigate to your desired project location and execute the command `cordova create <path>`. Once the Cordova project has been established, move into the project directory to proceed with adding the platform for which the application will be developed. Cordova encapsulates your HTML and JavaScript application within a native wrapper, granting access to the device's capabilities across numerous platforms. This is facilitated through a standardized JavaScript API, which simplifies the process of writing a unified codebase that can be utilized on virtually any smartphone or tablet available today, ready for distribution in their respective app stores. By leveraging Cordova's features, developers can streamline their workflow and enhance their apps' functionality significantly.

Amazon QLDB is a fully managed ledger database that offers a transparent, immutable, and cryptographically verifiable transaction log governed by a central trusted authority. This powerful tool allows users to monitor every change made to application data while preserving a complete and verifiable history of alterations over time. Typically, ledgers serve to document the economic and financial activities within an organization. Many businesses create applications with ledger-like features to ensure they have an accurate record of their data history; this includes tracking the flow of credits and debits in banking transactions, validating the data lineage for insurance claims, or following the movement of goods in a supply chain. By utilizing Amazon QLDB, organizations can avoid the intricate development challenges associated with creating their own ledger-like systems, streamlining their processes and enhancing data integrity. This innovative database solution ultimately empowers businesses to focus on their core activities while ensuring robust data management.

Tornado is a web framework for Python that also serves as an asynchronous networking library, initially created at FriendFeed. Utilizing non-blocking network I/O, it has the capability to manage tens of thousands of simultaneous connections, making it particularly suited for applications requiring long-lived user connections, such as long polling and WebSockets. Unlike most Python web frameworks, Tornado does not follow the WSGI standard and is primarily operated with a single thread per process. Although the tornado.wsgi module offers some WSGI compatibility, it is not the main focus of development, and developers are encouraged to utilize Tornado’s own interfaces, like tornado.web, for building applications. It is important to note that Tornado code is generally not designed to be thread-safe. Since version 5.0, Tornado has been integrated with Python's standard library asyncio module, sharing the same default event loop. This integration allows for seamless mixing of libraries that are built for asyncio with Tornado, enhancing its versatility and functionality. As a result, developers can create highly efficient applications that leverage both Tornado's strengths and asyncio's capabilities.

Jetty serves as both a web server and a servlet container, offering capabilities for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS, among other integrations. These elements are open source, allowing for free commercial use and distribution. Jetty finds application in a diverse range of projects and products across development and production environments. Developers have preferred Jetty for years due to its strong history of easy embedding in devices, tools, frameworks, application servers, and contemporary cloud services. It is a robust, standards-compliant framework that is open source and usable commercially, featuring flexibility, extensibility, a small footprint, and support for asynchronous operations, all while being enterprise scalable and dual-licensed under both Apache and Eclipse. It is utilized in large-scale clusters like Facebook Presto and in cloud computing platforms such as Google AppEngine. As Java and the JakartaEE project (previously JavaEE) evolved in 2020, the current recommended Jetty version hinges on factors such as the servlet API version and licensing preferences. Jetty continues to adapt, ensuring it meets the evolving needs of modern software development.

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.

Whether you are a creator developing a website for your personal project or a designer crafting sites for clients, Silex is sure to impress you. Take advantage of the free instance offered through Silex Labs, which requires no installation and allows you to save your data on platforms like Dropbox, Owncloud, GitHub, or via FTP, enabling you to dive right in! For offline work, utilize Silex's desktop version, compatible with Windows, MacOS, and Linux, allowing you to store your data directly on your computer. You can easily set up your own instance of Silex using a one-click install, a docker image, or any server, whether for personal use, your clients, or experimentation. Additionally, Silex allows you to install it locally using npm or include it in your project, running it with various parameters or modifying parts as needed. Ideal for freelancers, agencies, and hosting companies, Silex excels at customization, white-labeling, and seamless integration into your existing infrastructure. Best of all, Silex is free and open source, empowering users with the tools they need to bring their creative visions to life. Embrace the freedom of open-source software and unlock your potential with Silex!

Enhance both your production and staging environments by integrating logs, metrics, and traces in real-time and on-demand directly from your IDE or command line interface. With Lightrun, you can significantly improve productivity and achieve complete code-level visibility. You can add logs and metrics instantly while services are operational, making it easier to debug complex architectures like monoliths, microservices, Kubernetes, Docker Swarm, ECS, and serverless applications. Quickly insert any missing log lines, instrument necessary metrics, or establish snapshots as needed without the hassle of recreating the production setup or redeploying. When you invoke instrumentation, the resulting data gets sent to your log analysis platform, IDE, or preferred APM tool. This allows for thorough analysis of code behavior to identify bottlenecks and errors without interrupting the running application. You can seamlessly incorporate extensive logs, snapshots, counters, timers, function durations, and much more without risking system stability. This streamlined approach lets you focus on coding rather than getting bogged down in debugging, eliminating the need for constant restarts or redeployments when troubleshooting. Ultimately, this results in a more efficient development workflow, allowing you to maintain momentum on your projects.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.