Alternatives to EC2 Spot

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

In-memory computing using TIBCO ActiveSpaces® in-memory database grid provides a distributed consistent, fault-tolerant, fault-tolerant database that supports scalability to support mixed read/write workloads. It also has full system of record capabilities. ActiveSpaces®, which draws on server memory, also stores it to local drives for data safety and to scale to handle large data volumes. ActiveSpaces allows for the storage of operational, reference, and contextual data that is normally stored in back-end software to provide lightning-fast performance. This is the performance you need to delight your customers and outperform the rest. Any data can be stored anywhere and used in real-time decision-making and processing. ActiveSpaces technology handles large data volumes. Without requiring a system restart, you can add capacity dynamically. Persistence is distributed so it's often possible for legacy implementations to be removed from costly databases and associated failure points.

Xosphere Instance Orchestrator performs automatic spot optimization using AWS Spot instances. This optimizes the cost of your infrastructure, while maintaining the same reliability as on-demand instance. Spot instances have been diversified by family, size and availability zone in order to minimize the impact of reclaiming Spot instances. Spot instances will not replace instances that use reservations. Respond automatically to Spot termination notifications. EBS volumes can configured to be attached new replacement instances, enabling stateful apps to work seamlessly.

Amazon EMR is the market-leading cloud big data platform. It processes large amounts of data with open source tools like Apache Spark, Apache Hive and Apache HBase. EMR allows you to run petabyte-scale analysis at a fraction of the cost of traditional on premises solutions. It is also 3x faster than standard Apache Spark. You can spin up and down clusters for short-running jobs and only pay per second for the instances. You can also create highly available clusters that scale automatically to meet the demand for long-running workloads. You can also run EMR clusters from AWS Outposts if you have on-premises open source tools like Apache Spark or Apache Hive.

We are the only company that can autonomously tune applications across multiple applications. Opsani rightsizes an application automatically so that your cloud application runs faster and is more efficient. Opsani COaaS optimizes cloud workload performance using the latest AI and Machine Learning. It continuously reconfigures and tunes with every code release and load profile change. This is done while seamlessly integrating with one app or across your service delivery platform, while also scaling autonomously across thousands of services. Opsani makes it possible to solve all three problems autonomously and without compromise. Opsani's AI algorithms can help you reduce costs by up to 71% Opsani optimization continually evaluates trillions upon trillions of configuration possibilities and pinpoints the most effective combinations of resources, parameter settings, and other parameters.

TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster. It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace. It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.

AWS CloudFormation allows you to create resource templates. These templates can be used to specify a set AWS resources to provision. These templates allow you to easily duplicate your infrastructure quickly and easily, as well as version control it.

Simple templates make it easy to create and manage cloud resources. Google Cloud Deployment Manager allows users to specify all resources required for their application in a declarative format using Python or Jinja2 templates. To parameterize the configuration, you can use Jinja2 or Python templates. This allows reuse of common deployment paradigms like an auto-scaled instance group that is load balanced and auto-scaled. Consider your configuration code and use it to perform repeatable deployments. The process of creating resources can be repeated repeatedly by creating configuration files that define the resources. Many tools use an imperative approach. This requires the user to specify the steps required to create and configure resources. Declarative approaches allow the user to define the configuration and the system will take the necessary steps. Instead of deploying each resource individually, the user can concentrate on the resources that make up the application or service.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

You can automate the cluster scaling and deployment on demand, and concentrate on processing, analysis and reporting big data. Our operations team is able to handle cluster operations thanks to the accumulation of massively distributed computing technologies over many years. It automatically scales clusters up to improve computing capability in peak periods and down to reduce costs in the valley period. It provides a management console that facilitates cluster management, template customization and task submission. By deploying with the BCC it can focus on its own business during a busy period and help the BMR to calculate the big data when there is free time. This reduces the overall IT expenditure.

Zesty combines several layers of cloud optimization into one consolidated solution. Automated management of savings plans and reserved instances. Automatic right-sizing EBS volumes. Automated decommissioning of unused cloud resources. With discounted spot instances, scale confidently during peak times. A great way to reduce cloud computing costs is to leverage commitments such AWS Reserved Instances, (RI) and savings plans (SP). A majority of companies that run workloads on AWS don't maximize their commitment savings. This is because purchasing commitments require stability and reliability in forecasts. It is impossible to predict EC2 usage accurately 1-3 years ahead without taking risks. In order to maximize cloud savings, it is necessary to monitor and optimize EC2 environments at scale. This is a burden for engineering teams.

Kubermatic Kubernetes Platform helps enterprises drive digital transformation through the automation of their cloud operations from anywhere. KKP allows operations and DevOps teams centrally manage VMs, containerized workloads across hybrid cloud, multi-cloud and edge environments. It also provides an intuitive self-service portal for developers and operations. Open source Kubermatic Kubernetes Platform. Automate the operations of thousands Kubernetes clusters in multi-cloud, edge, and on-prem environments. This will provide unmatched resilience and density. Your multicloud self-service Kubernetes platform can be set up and operated in the shortest time to market. Your developers and operations team can deploy clusters on any infrastructure in under three minutes. You can centrally manage all your workloads using a single dashboard that provides a consistent experience from the cloud to the edge. Enterprise-level governance allows you to manage your cloud native stack at scale.

Access HPE Ezmeral Data Fabric Software through a fully-managed service. Register for a 300GB trial to test out the latest capabilities and features. Enterprise data is increasingly distributed across an increasing number of locations, while at the same, the demand for insights continues growing as users expect richer and high-quality data insight. Hybrid cloud offers the best results in terms of cost and data placement. They also offer the best user experience. The advantage of hybrid cloud is that it allows you to better match your applications with the right services throughout the lifecycle of the application. The downside of hybrid technology is that it introduces a new level of complexity, such as the need for multiple analytic formats and organizational risk.

Release environments simplify the development process. They are shareable, scalable and manageable. Too often, staging environments are followed by the limbo stage. Release Environments makes staging easy and fast. Release Environments make it easy to create any number traditional staging environments. This makes bottlenecking a thing past. You'll be able to bring pre-production and production together once you see how easy Release is. You can create pre-production environments, and then run production workloads with aligned data in a unified ecosystem. It's as easy as the amazing things you can do using Release Environments. It can be difficult and time-consuming to create up-to-date demos that your customers can use. Release Environments enable you to create demo environments for customers on-demand without the interference or impact of other demos.

Codefresh was founded in 2014. It combines CI/CD and Image Management to create a complete container delivery platform that connects developers and operations. Codefresh allows startups and enterprises to instantly benefit from microservices, container-based technologies. The company is based out of Silicon Valley, Israel.

Apache Storm is an open-source distributed realtime computing system that is free and open-source. Apache Storm makes it simple to process unbounded streams and data reliably, much like Hadoop did for batch processing. Apache Storm is easy to use with any programming language and is a lot fun! Apache Storm can be used for many purposes: realtime analytics and online machine learning. It can also be used with any programming language. Apache Storm is fast. A benchmark measured it at more than a million tuples per second per node. It is highly scalable, fault-tolerant and guarantees that your data will be processed. It is also easy to set up. Apache Storm can be integrated with the queueing and databases technologies you already use. Apache Storm topology processes streams of data in arbitrarily complex ways. It also partitions the streams between each stage of the computation as needed. Learn more in the tutorial.

QuickBuild 12.0 comes with OpenID single sign on support, Kubernetes build agents resource customization, Kubernetes launch agent on-demand via GCP, Kubernetes configuration tree support, dashboard import/export and GitHub organizational webhooks support. Server-wide properties include file upload via RESTful api and RESTful authentication via access token. To test changes on the server before commit or pushing, run proof build. To get quick feedback, run builds concurrently. Run builds upon commit, using a schedule, and upon dependency completion. Log in real-time to view build progress and report on it. Tray monitor allows you to monitor/trigger builds and receive notifications about them. To ensure accountability, send failure notifications to users who have committed to the project. A comparable and customizable statistics chart that tracks key performance indicators. To reduce disk space usage, create an auto cleanup strategy.

Kubernetes AI-driven cloud optimization Reduce your cloud bill instantly, prevent downtime and get 10X the power from DevOps. CAST AI reduces container costs and keeps them low. While AI automates infrastructure provisioning, engineers can continue to work as before. Same performance, half-the cost, and zero hassle. Get in touch with our team to set up the deal and get started. Get the most out of every dollar you spend. Our AI engine will automatically select the best instance type and bin pack nodes for each pod. The pods will automatically be given the correct CPU and memory limits. Your instances will automatically scale up or down according to the load. Scale to zero when there is no work to do. Spot instance support of production grade for Kubernetes workloads. Reserved instances allow you to save up to 90% without locking yourself into a contract.

Test Management for Jira is an enterprise tool that allows you to plan, manage and measure your entire testing life cycle within Jira. It supports both agile and waterfall methodologies. TM4J provides mission-critical projects with scalability and availability on any Jira deployment (Cloud Server, DataCenter, Server). TM4J will empower agile teams by enabling BDD at scale using Cucumber or any other compatible gherkin tool for collaboration between developers and testers. You can use up to 70 built in reports to make informed decisions based upon real-time metrics throughout your software development lifecycle. Our powerful FREE REST API makes it easy to integrate CI servers, DevOps, and test automation tools and frameworks. This will help you save time and effort. TM4J has been used by over 3.000 clients around the world and is the best QA and Testing app for Jira.

Hydrolix is a streaming lake of data that combines decoupled archiving, indexed searching, and stream processing for real-time query performance on terabyte scale at a dramatically lower cost. CFOs love that data retention costs are 4x lower. Product teams appreciate having 4x more data at their disposal. Scale up resources when needed and down when not. Control costs by fine-tuning resource consumption and performance based on workload. Imagine what you could build if you didn't have budget constraints. Log data from Kafka, Kinesis and HTTP can be ingested, enhanced and transformed. No matter how large your data, you will only get the data that you need. Reduce latency, costs, and eliminate timeouts and brute-force queries. Storage is decoupled with ingest and queries, allowing them to scale independently to meet performance and cost targets. Hydrolix's HDX (high-density compress) reduces 1TB to 55GB.

FinOps on nOps We only charge for what we save. Most organizations don’t have the resources to focus on reducing cloud spend. nOps is your ML-powered FinOps team. nOps reduces cloud waste, helps you run workloads on spot instances, automatically manages reservations, and helps optimize your containers. Everything is automated and data-driven.

Spot Ocean allows you to reap the benefits Kubernetes without worrying too much about infrastructure, while simultaneously gaining deep cluster visibility. This can dramatically reduce costs. The key question is how can containers be used without the operational overhead of managing underlying VMs, while still maximizing the cost benefits associated to multi-cloud and spot instances. Spot Ocean solves this problem by managing containers within a "Serverless” environment. Ocean is an abstraction over virtual machines that allows Kubernetes clusters to be deployed without the need for managing the underlying VMs. Ocean makes use of multiple compute purchasing options such as Spot and Reserved instance pricing. It also has failover to On Demand instances whenever necessary, resulting in a 80% reduction in infrastructure expenses. Spot Ocean is a Serverless Compute Engine. It abstracts the provisioning (launching), autoscaling and management of worker nodes within Kubernetes clusters.

You can save up to 90% on your monthly cloud bills Lightwing can help you get from sign up to cost optimized within 60 minutes. AWS Spot instances and Azure Spot instances can optimize the computation of all production resources. You can achieve stable and reliable high availability while still enjoying the full benefits of spot instance pricing. In less than 60 minutes, you can go from signing up to fully cost optimized. Smart Advisor allows you to group your cloud resources according to usage (production or not production) and nature (state or fault tolerance). Lightwing will give you an instant estimate of how much you can reduce your cloud computing bills. You can instantly save on cloud costs by automating the cost optimization process. We are dedicated to helping our customers optimize their cloud infrastructure costs.

Manage, provision and scale compute infrastructure in any cloud. You can save up to 80% on your expenses while still maintaining high-availability and SLA. Elastigroup cluster software is designed to optimize performance as well as costs. It allows companies of all sizes and industries to use Cloud Excess Capacity to efficiently and effectively accelerate workloads and reduce infrastructure costs by up to 90%. Elastigroup uses proprietary price prediction technology in order to deploy onto Spot Instances reliably. Elastigroup can offensively rebalance clusters by predicting interruptions or fluctuations. Elastigroup can reliably leverage excess capacity across all major cloud providers, including EC2 Spot Instances(AWS), Low-priority VMss (Microsoft Azure), and Preemptible VMss (Google Cloud). This reduces risk and complexity and allows for simple orchestration and management at scale.

Launch GPU-accelerated instances that are highly configurable for your AI workload and budget. Reserve thousands of GPUs for training and inference in a next generation AI data center. The AI world is moving to GPU clouds in order to build and launch groundbreaking models without having the hassle of managing infrastructure or scarcity of resources. AI-centric cloud providers are outperforming traditional hyperscalers in terms of availability, compute costs, and scaling GPU utilization for complex AI workloads. Ori has a large pool with different GPU types that are tailored to meet different processing needs. This ensures that a greater concentration of powerful GPUs are readily available to be allocated compared to general purpose clouds. Ori offers more competitive pricing, whether it's for dedicated servers or on-demand instances. Our GPU compute costs are significantly lower than the per-hour and per-use pricing of legacy cloud services.

Hypertable provides scalable database capacity at maximum speed to speed up big data applications and reduce your hardware footprint. Hypertable offers superior performance and efficiency over other competitors, which can translate into significant cost savings. It is a proven, scalable design that powers hundreds Google services. Open source brings all the benefits of open-source with a vibrant community. C++ implementation for optimal performance. Support for your business-critical big-data application is available 24/7/365 The employer of all core Hypertable developers provides unrivalled access to the Hypertable brain power. Hypertable was created to solve the scalability issue. This problem is not well handled by traditional RDBMSs. Hypertable is a Google-developed design that meets their scalability requirements. It solves the scale problem better then any other NoSQL solutions.

Trust and integrity are brought into the software cycle through end-to-end cryptographically verified tracking and provenance of all artifacts and actions. Open source immudb is our high-speed, immutable store. Integration with all existing languages and CI/CD is simple and fast. Codenotary Cloud allows any company, developer or automation engineer to protect all stages of a CI/CD process. Codenotary Cloud®, allows you to easily create immutable, tamperproof solutions and complying with regulations and laws.

Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.

StepSecurity is the platform for you if you use GitHub Actions to perform CI/CD. Implement network egress and CI/CD security for GitHub Actions runner. Discover CI/CD security risks and GitHub action misconfiguration. Automated pull requests can standardize GitHub Actions CI/CD as code files. Allowlists block egress traffic to prevent SolarWinds or Codecov CI/CD attacks. Instant contextualized insight in network and file events across all workflow runs. Control network egress with granular policies at the job level and default cluster-wide. Many GitHub Actions do not receive maintenance and are therefore risky. These Actions are forked by enterprises, but the ongoing maintenance is costly. StepSecurity can help enterprises reduce risk and save time by allowing them to delegate the review, forking and maintenance of Actions.

OES is highly scalable and available for increasing deployment workloads. It can also be extended to integrate with multiple SDLC tools chains. OES allows you to define custom stages that can be used to deploy in parallel into any number targets. This saves time. With a single click, you can perform actions such as rolling back or forward or stopping all parallel deployments. Automate repetitive activities in your SDLC by creating as many child pipelines as you need and triggering them from the parent pipeline. OES is modular, and can be used as a central CD-tool for many enterprises due to its API-based architecture. Spinnaker's services can be easily integrated by developers across the team to orchestrate deployments.

Amazon SageMaker Pipelines allows you to create ML workflows using a simple Python SDK. Then visualize and manage your workflow with Amazon SageMaker Studio. SageMaker Pipelines allows you to be more efficient and scale faster. You can store and reuse the workflow steps that you create. Built-in templates make it easy to quickly get started in CI/CD in your machine learning environment. Many customers have hundreds upon hundreds of workflows that each use a different version. SageMaker Pipelines model registry allows you to track all versions of the model in one central repository. This makes it easy to choose the right model to deploy based on your business needs. SageMaker Studio can be used to browse and discover models. Or, you can access them via the SageMaker Python SDK.

Bitbucket goes beyond Git code management. Bitbucket is a place for teams to plan projects, collaborate on code and test, and then deploy. For small teams of less than 5, Bitbucket is free. Premium plans ($6/user/mo), and Standard ($3/user/mo), are available at scale. You can organize your projects by creating Bitbucket branches from Jira issues and Trello cards. Integrated CI/CD allows you to build, test, and deploy. Configuration as code allows for fast feedback loops and benefits. Pull requests make it easier to approve code reviews. With inline comments, create a merge list with the designated approvers. Bitbucket Pipelines with CI/CD lets you build, test, and deploy with integrated CI/CD. You can benefit from configuration as code and quick feedback loops. With IP whitelisting, 2-step verification and IP whitelisting, you can be sure that your code is safe in the Cloud. You can restrict access to certain users and control their actions by granting branch permissions and merging checks to quality code.

Avi Vantage offers multi-cloud application services, including a Software Load Balancer (iWAF), Intelligent Web Application Firewall(iWAF), and Elastic Service Mesh. The Avi Vantage Platform ensures a secure, fast, and scalable application experience. Avi Vantage provides multi-cloud application services, including load balancing for containerized apps with microservices architecture, application traffic management, web application security, and dynamic service discovery. Container Ingress offers scalable and enterprise-class North/South (Kubernetes Ingress) traffic management. This includes local and global server load balancing, web application firewall (WAF), and performance monitoring across multi-cluster, multiregion and multi-cloud environments. Avi seamlessly integrates with Kubernetes to enable container and microservice orchestration and security.

JFrog Pipelines allows software teams to ship updates quicker by automating DevOps processes in an efficient and secure manner across all their tools and teams. It automates every step of production, including continuous integration (CI), continuous deliveries (CD), infrastructure, and more. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions.

Admins can use the Change & Release Management tool to manage Salesforce changes. Snapshot is a highly visual tool to deploy metadata assets from a Salesforce DX project or sandbox to a production account. More than 40 reports provide detailed documentation of every aspect Salesforce accounts, including unused assets, complex relationships and disaster recovery.

AutoRABIT is the leader for metadata-aware application release management and backup & recovery for Salesforce. AutoRABIT is the only company that combines parallel build automation and delta deployments to deliver the fastest release velocity. Deploy only the code that has been modified and allow multiple Dev teams to run concurrent builds. AutoRABIT is the only company that uses advanced parsing technology to enable faster deployments and commits. Metadata Mastery™, which recognizes all Salesforce metadata types, allows you to manage and preserve dependencies. Only AutoRABIT can restore and back up all metadata, data, and dependencies in order to restore a complete Salesforce experience. Selective Restore allows for you to back-up all Salesforce data and only restore what you need. Total Software Delivery Orchestration. Salesforce has a powerful CI/CD purpose.

GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.

Ozone platform allows enterprises to quickly and securely ship modern applications. Ozone eliminates the need to manage too many DevOps tools, making it easy to deploy applications on Kubernetes. Integrate all your existing DevOps tools to automate your application delivery process. Automated pipeline workflows make deployments faster and allow for on-demand infrastructure management. Enforce compliance policies and governance for app deployments at scale to prevent business losses. One pane of glass, where engineering, DevOps, and security teams can collaborate on app releases in realtime.

ROBIN is the first hyper-converged Kubernetes platform in the industry for big data, databases and AI/ML. The platform offers a self-service App store experience to deploy any application anywhere. It runs on-premises in your private cloud or in public-cloud environments (AWS, Azure and GCP). Hyper-converged Kubernetes combines containerized storage and networking with compute (Kubernetes) and the application management layer to create a single system. Our approach extends Kubernetes to data-intensive applications like Hortonworks, Cloudera and Elastic stack, RDBMSs, NoSQL database, and AI/ML. Facilitates faster and easier roll-out of important Enterprise IT and LoB initiatives such as containerization and cloud-migration, cost consolidation, productivity improvement, and cost-consolidation. This solution addresses the fundamental problems of managing big data and databases in Kubernetes.

One area that has not benefited as much from DevOps is the database change process. It is time to bring CI/CD into the database. In the last few years, application release technology has advanced significantly. It used to take weeks, if not months, to release new software. Organizations have changed their workflows and processes so that it takes just days or even hours to release new software. Every software project must perform database schema migrations. There are many reasons why database updates are necessary. New features may require the addition of new attributes to existing tables, or completely new tables. Bug fixes can lead to changes in the names and data types of the database. Additional indexes may be required to address performance issues. Manual rework is still common in DevOps-adopted organizations when it comes to stored procedure and database schema changes.

Mobile CI/CD that works just right saves time, money, frustration, and developers. It's fast, flexible, scalable, and easy to use. We have you covered, whether you prefer native or cross-platform CI/CD. We can handle everything from Swift to Objective-C, Java and Kotlin to Xamarin, Cordova and Ionic to name a few. Bitrise works with any Git service, whether it is public, private, or ad-hoc. This includes Bitbucket, GitLab Enterprise, GitLab Enterprise, GitLab Enterprise, GitLab Enterprise, BitGitHub and GitHub Enterprise. It works both in the cloud and on premise. You can schedule pull requests to run at specific times, trigger builds from pull requests, or create your own webhooks. Workflows can run when and where you need them. This allows you to combine common tasks such as integration tests, deployments to device farms, distributions of testers or app store apps, and many other tasks.

In less than five minutes, you can create any Azure app on any Azure service. Support for most popular application frameworks. Integration of full CI/CD pipelines automatically. Application Insights provides built-in monitoring. Deployment to the platform you choose. DevOps Projects makes it easy to run your application on any Azure service. All you need is an application language, runtime and an Azure service. You can choose from a variety languages, including.NET, Java and PHP, Node. Python, Go, and many other popular frameworks. You can also deploy your own application hosted on source control. Your application can be run on Windows or Linux. You can simply deploy to Azure Web App or Virtual Machine, Service Fabric, or choose Azure Kubernetes Service. Although there are many options, execution is quick and easy. You will be able to monitor your application's performance and provide powerful alerting.

Run popular open-source frameworks--including Apache Hadoop, Spark, Hive, Kafka, and more--using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. You can process huge amounts of data quickly and enjoy all the benefits of the large open-source project community with the global scale Azure. You can easily migrate your big data workloads to the cloud. Open-source projects, clusters and other software are easy to set up and manage quickly. Big data clusters can reduce costs by using autoscaling and pricing levels that allow you only to use what you use. Data protection is assured by enterprise-grade security and industry-leading compliance, with over 30 certifications. Optimized components for open source technologies like Hadoop and Spark keep your up-to-date.

CloudBees is a software delivery platform that offers complete functionality. Developers can innovate faster with self-service, scalable, repeatable and compliant workflows. Learn how we can help you release safer, faster software. You can manage, release, and monitor features at scale. Visibility should not be limited to a single pipeline. You can orchestrate your software delivery company from beginning to end. Learn why "meta" orchestration is such a game-changer. Analyze, communicate, and measure the impact of software delivery on business performance. Get answers to your questions about software delivery analytics. You can ensure that assets are compliant at all stages, including production. This will allow you to automatically identify potential risks and address them. Stop waiting for builds, fixing bugs and rewriting scripts. You can now focus on your core competencies: feature management and fast workflows. Automate compliance, security, governance and compliance without limiting flexibility. Developers are happier when you're confident. Software delivery should be treated as a business. Manage risk proactively

You can accelerate discovery by giving your business access to analytics-ready data on demand. This will help you get answers faster. Qlik Catalog is an enterprise-scale data catalog that speeds up the organization, preparation, delivery, and analysis of trusted, actionable data. It takes days, not months, to create and maintain a profile, organize, prepare, and deliver data. Qlik Catalog creates a secure enterprise-scale catalog that contains all data available for analytics in your organization, regardless of where it is located. The powerful, automated data preparation and metadata tools simplify the transformation of raw data into data assets that are ready for analysis. Business users have one place to go to for all their data needs. They can search, understand, and use any source of enterprise data to gain insight. To simplify and speed up the process, automatically profile and document the exact structure, content, and quality of your data with built-in data loaders. Create a Smart Data Catalog to document every aspect of your data.

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

CENX Service Assurance lets you see the service topology, inventory and faults from all your disparate systems correlated into a single view. Operators can optimize hybrid communication networks and achieve closed-loop automation with this insight. Operators can launch new business models, provide next-generation services quickly, and support new technologies - like Network Functions Virtualization or Software-Defined Networking or SDN. They can also support 5G and Iot at a cost-effective rate.