Google Compute Engine Integrations

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

CloudPanel is a free server control panel for PHP, built for the cloud for maximum performance and security. CloudPanel is a modern server control panel that makes it easier and more enjoyable to run your PHP Apps in the cloud. No contract, hidden costs, limitations, or restrictions. Ultra-fast lightweight components like NGINX, PHP-FPM and MySQL for maximum performance. Free SSL certificates for all of your domains, with one click, are automatically renewed. Shipped with multiple PHP versions. Running or changing the PHP version for an app is just a click. A clean and easy-to-use server control panel to get things done in no time. Commandline-application that provides commands for backing up and restoring databases, disabling two-factor authentification and many more. Supports more than ten languages, like English, German, Spanish, Chinese, Italian and many more. An additional layer of security is provided with two-factor authentication for secure CloudPanel login.

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

Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.

Google Cloud Pub/Sub. Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple. Synchronous, cross-zone message replication and per-message receipt tracking ensure reliable delivery at any scale. No planning, auto-everything. Auto-scaling and auto-provisioning with no partitions eliminate planning and ensures workloads are production-ready from day one. Advanced features, built in. Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications. A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow.

Scale your security globally. Scale your application to Google’s global footprint while letting Google worry about the challenges of key management, including managing redundancy and latency. Help achieve your compliance requirements: Easily encrypt your data in the cloud using software-backed encryption keys, certified FIPS 140-2 Level 3 validated HSMs, customer-provided keys or an External Key Manager. Leverage from integration with Google Cloud products. Use customer-managed encryption keys (CMEK) to control the encryption of data across Google Cloud products while benefiting from additional security features such as Google Cloud IAM and audit logs. A cloud-hosted key management service that lets you manage symmetric and asymmetric cryptographic keys for your cloud services the same way you do on-premises. You can generate, use, rotate, and destroy AES256, RSA 2048, RSA 3072, RSA 4096, EC P256, and EC P384 cryptographic keys.

Upgrade security throughout the stack with a unified secrets management platform that every engineer can use – from admin to intern. Putting passwords and API keys in source code creates a security risk. But handling them properly creates complexity that makes it extremely cumbersome to deploy. Git, Slack, and email are designed to share information, not to keep secrets. Copy-pasting values and waiting on that one admin who holds all the keys simply don't scale when you're deploying software multiple times a week. It's impossible to track who accessed what secrets at what time, making compliance audits a nightmare. Eliminate secrets in source code by replacing plaintext values with a reference to the secret. SecretHub then automatically loads secrets into your app the moment it starts. Use the CLI to encrypt and store secrets and then simply tell the code where to look for the secret. Your code is now free of secrets and can be shared with everyone on your team.

Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.

Speed up compute jobs like machine learning and HPC. A wide selection of GPUs to match a range of performance and price points. Flexible pricing and machine customizations to optimize your workload. High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization. NVIDIA K80, P100, P4, T4, V100, and A100 GPUs provide a range of compute options to cover your workload for each cost and performance need. Optimally balance the processor, memory, high-performance disk, and up to 8 GPUs per instance for your individual workload. All with the per-second billing, so you only pay only for what you need while you are using it. Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies. Compute Engine provides GPUs that you can add to your virtual machine instances. Learn what you can do with GPUs and what types of GPU hardware are available.

Cloud migration creates a lot of questions. Migrate for Compute Engine by Google Cloud has the answers. Whether you’re looking to migrate one application from on-premises or one thousand enterprise-grade applications across multiple data centers, Migrate for Compute Engine gives any IT team, large or small, the power to migrate their workloads to Google Cloud. With Migrate for Compute Engine’s simple “as a service” interface within Cloud Console and flexible migration options, it’s easy for anyone to reduce the time and toil that typically goes into a migration. Avoid complex deployments, setup, and configurations. Eliminate confusing and troublesome client-side migration tool agents. By using the right migration tool, you can save your migration team’s valuable time for what matters most: migrating workloads.

Real-time exception monitoring and alerting: Error Reporting counts, analyzes, and aggregates the crashes in your running cloud services. A centralized error management interface displays the results with sorting and filtering capabilities. A dedicated view shows the error details: time chart, occurrences, affected user count, first- and last-seen dates and a cleaned exception stack trace. Opt in to receive email and mobile alerts on new errors. Quickly understand errors: See at a glance your application's top or new errors in a clear dashboard. Looking at a log stream to find important errors can slow you down when you are troubleshooting. Error Reporting brings you the processed data directly to help you understand and fix the root causes faster. & more

Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.

Companies that opt for a DIY approach for their graph database can expect 2 to 3 months for a production-ready implementation. With Graph Story’s managed service, your production-ready database is available within minutes. Learn more about graph use cases as well as see a comparison between self-hosting and using a managed service. We can deploy where your servers already live: AWS, Azure, or Google Compute Engine, in any region. Need VPC peering or IP-restricted access? Just let us know. We're flexible like that. Building a proof of concept? Fire up a single, enterprise graph instance with a few clicks. Need to move up to a high-availability, production-ready cluster on-demand? We've got you covered! We built graph db management tools so you don't have to! See CPU, Memory and Disk utilization at glance. Get access to configs, logs, backup your database & restore snapshots.

Centreon is a global provider of business-aware IT monitoring for always-on operations and performance excellence. The company’s holistic, AIOps-ready platform is designed for today’s complex, distributed hybrid cloud infrastructures. Centreon monitors the complete IT Infrastructure from Cloud-to-Edge for a clear and comprehensive view. Centreon removes blind spots, monitoring all equipment, middleware and applications that are part of modern IT workflows, from on-premise legacy assets to private and public cloud environments, all the way to the edge of the network, where smart devices and customers combine to create business value. Centreon is constantly current, able to support the most dynamic environments. With auto-discovery capabilities it can keep track of Software-Defined Network (SDN) elements, AWS or Azure cloud assets, Wi-Fi access points or any other component of today’s agile IT infrastructure.

Security and risk management platform for Google Cloud. Understand the number of projects you have, what resources are deployed, and manage which service accounts have been added or removed. Identify security misconfigurations and compliance violations in your Google Cloud assets and resolve them by following actionable recommendations. Uncover threats targeting your resources using logs and powered by Google’s unique threat intelligence; use kernel-level instrumentation to identify potential compromises of containers. Discover and view your assets in near-real time across App Engine, BigQuery, Cloud SQL, Cloud Storage, Compute Engine, Cloud Identity and Access Management, Google Kubernetes Engine, and more. Review historical discovery scans to identify new, modified, or deleted assets. Understand the security state of your Google Cloud assets. Uncover common web application vulnerabilities such as cross-site scripting or outdated libraries in your web applications.

Understanding the performance of production systems is notoriously difficult. Attempting to measure performance in test environments usually fails to replicate the pressures on a production system. Micro benchmarking parts of your application are sometimes feasible, but it also typically fails to replicate the workload and behavior of a production system. Continuous profiling of production systems is an effective way to discover where resources like CPU cycles and memory are consumed as a service operates in its working environment. But profiling adds an additional load on the production system: in order to be an acceptable way to discover patterns of resource consumption, the additional load of profiling must be small. Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the source code that generated it.

Provision a VM quickly with everything you need to get your deep learning project started on Google Cloud. Deep Learning VM Image makes it easy and fast to instantiate a VM image containing the most popular AI frameworks on a Google Compute Engine instance without worrying about software compatibility. You can launch Compute Engine instances pre-installed with TensorFlow, PyTorch, scikit-learn, and more. You can also easily add Cloud GPU and Cloud TPU support. Deep Learning VM Image supports the most popular and latest machine learning frameworks, like TensorFlow and PyTorch. To accelerate your model training and deployment, Deep Learning VM Images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers and the Intel® Math Kernel Library. Get started immediately with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility. Deep Learning VM Image delivers a seamless notebook experience with integrated support for JupyterLab.

DevOps Orchestration is the practice of composing any tasks across the SDLC and Operations functions, with any choice of tools and environments, and with the process logic centralized away from the individual tools themselves. The Maestro product includes plug-ins, pre-built tasks, and templates for continuous integration, test automation, release management, DevOps visibility, automated deployment, and continuous delivery. Whether your DevOps tools are on-premise or cloud services (or both!), Maestro effortlessly connects workflow tasks between your tools for Continuous Integration and Continuous Deployment. The workflow "CompositionTM" above shows a Git checkout, Jenkins build, Sonar code check, testing steps, and then custom notifications. Remove manual tasks from your custom release process, and create a precise, repeatable set of tasks that execute reliably, every time.

Reduce latency with scalable, secure, and highly available in-memory service for Redis and Memcached. Memorystore automates complex tasks for open source Redis and Memcached like enabling high availability, failover, patching, and monitoring so you can spend more time coding. Start with the lowest tier and smallest size and then grow your instance with minimal impact. Memorystore for Memcached can support clusters as large as 5 TB supporting millions of QPS at very low latency. Memorystore for Redis instances are replicated across two zones and provide a 99.9% availability SLA. Instances are monitored constantly and with automatic failover—applications experience minimal disruption. Choose from the two most popular open source caching engines to build your applications. Memorystore supports both Redis and Memcached and is fully protocol compatible. Choose the right engine that fits your cost and availability requirements.

Increase on-demand access to production, development, and test environments that allow you to innovate better, accelerate delivery of the application and streamline delivery to production. We design and implement infrastructure in the cloud to serve your business needs of today and tomorrow. We specialize in designing Web-scale architectures that are load-balanced, auto-scaled, self-healing, and cost-effective. You pay for only the resources you need while still responding to spikes in demand. We embrace the Infrastructure as Code philosophy to ensure infrastructure that is self-documenting, versioned, and automatic. Gain the insights into your applications to identify performance bottle-necks, understand resource requirements, automatically scale if and when needed, and alert appropriate stakeholders. We work with your developers to develop your application's build and deployment pipeline.

Define a new, scalable cloud infrastructure. Exert control and clear structures in your cloud environment by creating separate organizations, defining relationships between users, tenants, and projects, and managing quotas and services. Provision your systems through cloud and virtualization platforms like Red Hat Enterprise Virtualization, Amazon, and Microsoft Azure, set retirement dates, and scale your environment on your terms. Take your real-world environment and simulate what-if scenarios for proactive resource planning and continuous insights into consumption levels to allow detailed chargeback, quotas, and policy creation. Get a handle on performance, capacity, and workloads through SmartState historical and trend analytics for different aspects of your cloud environment. Define the policy state for your environment, and follow up with automatic alerts and responses as your environment changes.

Ternary is the world’s first native FinOps cloud cost optimization tool. Built for Google Cloud on Google Cloud. Make better decisions, spend wisely and build a culture of accountability, collaboration and trust between finance and engineering teams. FinOps is the operating model for managing the variable spend of cloud, a combination of systems, best practices, and culture that ensures companies get the most value out of every cloud dollar spent. Ternary can help you at any stage of your FinOps journey. Ternary is creating tools at the intersection of finance and engineering with features based on FinOps principles. Ternary provides the missing bridge between finance and engineering that allows for visibility and context across teams. Ternary has workflows that provide visibility, encourage collaboration and accountability in order to help you easily monitor, prioritize and track cost optimizations to completion across an organization.

Opal is a security platform that enables organizations to scale least privilege, creating new ways for teams to work smarter. We believe access should be decentralized, self-service, and integrated with the technologies your team already uses. Remove bottlenecks. Delegate access requests to those who have the most context. More context = faster and better decisions. Intelligent automation. Let Opal handle it all, giving access when it matters most, sending automatic reminders, and removing access when no longer needed. Transparency matters. Be on the same page about who approves access, who has access to what, the status of requests, and more. Skip the game of telephone! Companies give out far too much access. Access is granted in a way that is overly coarse and often for an indefinite amount of time. Most companies have painfully manual and inconsistent ways of granting just-in-time access.

Kata Containers is Apache 2 licensed software consisting of two main components: the Kata agent, and the Kata Containerd shim v2 runtime. It also packages a Linux kernel and versions of QEMU, Cloud Hypervisor and Firecracker hypervisors. Kata Containers are as light and fast as containers and integrate with the container management layers—including popular orchestration tools such as Docker and Kubernetes (k8s)—while also delivering the security advantages of VMs. Kata Containers supports Linux (host and guest) for now. On the host side, we have installation instructions for several popular distributions. We also have out-of-the-box support for Clear Linux, Fedora, and CentOS 7 rootfs images through the OSBuilder which can also be used to roll your own guest images.

Get frictionless, secure access to cloud infrastructure. Get passwordless access to major cloud platforms and thousands of cloud resources. We work seamlessly with AWS, GCP, Azure, and other cloud-native tools. Stop overprivileged access with just-in-time access for developers. DevOps users can request access to cloud resources with ‘just enough privileges’ to get timebound access to resources. Eliminate productivity bottlenecks of a centralized administrator. Configure approval policies based on a variety of factors. View a catalog of granted and unaccessed resources. Stop credential sprawl and worrying about credential theft. Developers can get passwordless access to cloud resources using Trusted Platform Module (TPM) based technology. Discover potential vulnerabilities now with our free assessment tool and understand how Procyon can help solve the problem in a matter of hours. Leverage TPM to strongly identify users and devices.

Test Kitchen provides a test harness to execute infrastructure code on one or more platforms in isolation. A driver plugin architecture is used to run code on various cloud providers and virtualization technologies such as Vagrant, Amazon EC2, Microsoft Azure, Google Compute Engine, Docker, and more. Many testing frameworks are supported out of the box including Chef InSpec, Serverspec, and Bats For Chef Infra workflows, cookbook dependency resolution via Berkshelf or Policyfiles is supported or include a cookbooks/ directory and Kitchen will know what to do. Test Kitchen is used by all Chef-managed community cookbooks and is the integration testing tool of choice for cookbooks.