Google Compute Engine Integrations

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.

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

CloudPanel, a free server control panel that PHP provides, is designed for cloud computing to maximize performance and security. CloudPanel, a modern server control panel, makes it easier to manage your PHP Apps in a cloud environment. No hidden fees, limitations, or restrictions. For maximum performance, NGINX, PHPFPM and MySQL are ultra-lightweight components. All domains are automatically renewed with SSL certificates that you can get for free. Shipped with multiple PHP versions. It is easy to change or run the PHP version of an app. It is a simple and clean server control panel that you can use to do all your tasks quickly. Commandline-application that provides commands for backing up and restoring databases, disabling two-factor authentification and many more. More than ten languages are supported, including English, German Spanish, Chinese, Chinese, Italian, and many others. Two-factor authentication is available for CloudPanel login security.

Fidelis Halo, a SaaS-based cloud security platform, automates cloud computing security controls. It also provides compliance across containers, servers, and IaaS within any public, private or hybrid cloud environment. Halo's extensive automation capabilities allow for faster workflows between InfoSec (DevOps) and Halo with over 20,000 pre-configured policies and more than 150 policy templates. These templates cover standards like PCI, CIS and HIPAA. The comprehensive, bidirectional Halo API, SDK, and toolkit automate security and compliance controls in your DevOps toolchain. This allows you to identify and correct critical vulnerabilities before they go into production. Free Halo Cloud Secure edition includes full access to the Halo Cloud Secure CSPM Service for up to 10 cloud service account across any mix of AWS and Azure. Get started now to automate your cloud security journey!

Akto is an open source, instant API security platform that takes only 60 secs to get started. Akto is used by security teams to maintain a continuous inventory of APIs, test APIs for vulnerabilities and find runtime issues. Akto offers tests for all OWASP top 10 and HackerOne Top 10 categories including BOLA, authentication, SSRF, XSS, security configurations, etc. Akto's powerful testing engine runs variety of business logic tests by reading traffic data to understand API traffic pattern leading to reduced false positives. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.

Google Cloud Pub/Sub: Delivery of messages in large quantities with push and pull modes. Auto-scaling, auto-provisioning, support from zero to hundreds GB/second Independent quota and billing are available for subscribers and publishers. Multi-region systems can be simplified by global message routing High availability made easy: Ensure reliable delivery at all scales with synchronous, cross-zone message replication. Auto-everything, no-planning Auto-scaling, auto-provisioning without partitions eliminates the need for planning and ensures that workloads are ready for production from day one. Advanced features built in: Filtering, dead letter delivery, and exponential backoff all help to simplify your applications

Global security: You can scale your application to Google's global reach while letting Google handle the key management challenges, such as managing redundancy or latency. Get help achieving your compliance requirements You can easily encrypt your data in cloud using software-backed encryption keys. These keys are certified FIPS 140-2 Level 3, validated HSMs, customer keys, or an External Key Manager. Take advantage of integration with Google Cloud products Customer-managed encryption keys (CMEK), which can be used to control encryption across Google Cloud products, as well as additional security features like Google Cloud IAM or audit logs.

Unified secrets management platform for engineers that can be used by all levels of the stack - from intern to admin - will improve security across the stack. Security risks can be created by putting API keys and passwords in source code. However, they are complex to manage and make deployment difficult. Email, Git, and Slack are meant to share information, not keep secrets. When you deploy software multiple times per week, copy-pasting values and waiting for one admin to hold all the keys doesn't scale. Compliance audits can be difficult because it is impossible to track who accessed which secrets at what times. Replace plaintext values with a reference. This will eliminate secrets from source code. SecretHub will then load secrets into your app automatically when it starts. You can use the CLI to encrypt or store secrets, and then tell the code where to find it. Your code is now unencrypted and can be shared with your entire team.

Your ML model can be served in minutes in any cloud. Unified model packaging format that allows online and offline delivery on any platform. Our micro-batching technology allows for 100x more throughput than a regular flask-based server model server. High-quality prediction services that can speak the DevOps language, and seamlessly integrate with common infrastructure tools. Unified format for deployment. High-performance model serving. Best practices in DevOps are incorporated. The service uses the TensorFlow framework and the BERT model to predict the sentiment of movie reviews. DevOps-free BentoML workflow. This includes deployment automation, prediction service registry, and endpoint monitoring. All this is done automatically for your team. This is a solid foundation for serious ML workloads in production. Keep your team's models, deployments and changes visible. You can also control access via SSO and RBAC, client authentication and auditing logs.

Accelerate compute jobs such as machine learning and HPC. There are many GPUs available to suit different price points and performance levels. Flexible pricing and machine customizations are available to optimize your workload. High-performance GPUs available on Google Cloud for machine intelligence, scientific computing, 3D visualization, and machine learning. NVIDIA K80 and P100 GPUs, T4, V100 and A100 GPUs offer a variety of compute options to meet your workload's cost and performance requirements. You can optimize the processor, memory and high-performance disk for your specific workload by using up to 8 GPUs per instance. All this with per-second billing so that you only pay for what you use. You can run GPU workloads on Google Cloud Platform, which offers industry-leading storage, networking and data analytics technologies. Compute Engine offers GPUs that can be added to virtual machine instances. Learn more about GPUs and the types of hardware available.

Cloud migration can raise many questions. Google Cloud's Migrate for Compute Engine has the answers. No matter if you need to migrate one application to Google Cloud or a thousand enterprise-grade apps across multiple data centers, Migrate For Compute Engine can help. Migrate for Compute engine's easy-to-use "as a Service" interface within Cloud Console, and flexible migration options make it simple to reduce the time and effort required to complete a migration. Avoid complicated setups and deployments. Avoid confusing and frustrating client-side agents for migration tool agents. Using the right tool for migration can help you save valuable time and allow your team to focus on what is most important: migrating workloads.

Alerting and monitoring of exceptions in real-time Error reporting tracks, analyzes, and aggregates all the crashes in your cloud services. The results can be sorted and filtered using a central error management interface. A dedicated view displays the error details: time graph, occurrences and affected user counts. It also shows first- and last-seen dates. Sign up to receive mobile and email alerts about new errors. You can quickly understand errors: A clear dashboard lets you see your application's top and new errors. When troubleshooting, it can be difficult to see the log stream and find important errors. Error reporting allows you to see the processed data directly, helping you understand and fix root causes faster. More

Google Cloud allows you to quickly build your deep learning project. You can quickly prototype your AI applications using Deep Learning Containers. These Docker images are compatible with popular frameworks, optimized for performance, and ready to be deployed. Deep Learning Containers create a consistent environment across Google Cloud Services, making it easy for you to scale in the cloud and shift from on-premises. You can deploy on Google Kubernetes Engine, AI Platform, Cloud Run and Compute Engine as well as Docker Swarm and Kubernetes Engine.

Companies who choose a DIY approach to their graph database can expect a wait of 2 to 3 months before production-ready implementation. Your production-ready database will be available within minutes with Graph Story's managed services. Learn more about graph use cases and compare self-hosting to managed services. We can deploy your servers where they are already located: AWS, Azure or Google Compute Engine in any region. Do you need VPC peering? Let us know. We are flexible like that. How do you build a proof-of-concept? In just a few clicks, you can fire up one enterprise graph instance. Do you need to move to a cluster that is high-availability and production-ready on-demand? We've got you covered! We created graph db management tools to make it easy for you! You can see CPU, Memory, and Disk utilization in one glance. Access configs, logs and backups of your database.

Centreon is a global provider for business-aware IT monitoring to ensure high performance and continuous operations. The company's AIOps-ready platform, which is holistic and ready for use in today's complex hybrid cloud infrastructures, is designed to meet the needs of these distributed clouds. Centreon monitors all aspects of the IT Infrastructure, from Cloud-to Edge for a clear and comprehensive view. Centreon eliminates blind spots by monitoring all equipment, middleware, and applications that are part modern IT workflows. This includes legacy assets on-premise, private and public clouds, and all the way to edge of the network where smart devices and customers come together to create business value. Centreon is always up-to-date and can support even the most dynamic environments. It has auto-discovery capabilities that allow it to keep track of Software Defined Network (SDN), AWS or Azure cloud assets and Wi-Fi access points, as well as any other component of today’s agile IT infrastructure.

Google Cloud Security and Risk Management Platform. You can see how many projects you have, which resources are being used, and which service accounts have been added/removed. Follow the actionable recommendations to identify security issues and compliance violations in your Google Cloud assets. Logs and powered with Google's unique threat information help you uncover threats to your resources. You can also use kernel-level instrumentation for potential container compromises. App Engine, BigQuery and Cloud SQL allow you to view and discover your assets in real-time across App Engine and Cloud Storage. To identify new, modified or deleted assets, review historical discovery scans. Learn about the security status of your Google Cloud assets. You can uncover common vulnerabilities in web applications such as cross-site Scripting and outdated libraries.

It is not easy to understand the performance of production systems. It is often difficult to measure the performance of production systems in test environments. Although micro benchmarking is possible in some cases, it will not replicate the workload or behavior of a production environment. Continuous profiling of production system is a great way to find out where resources like memory and CPU cycles are being used by a service in its working environment. Profiling is an extra load on the production system. However, profiling must not add any additional load to the production system. Cloud Profiler is a statistical profiler with low overhead that continuously collects information about CPU usage and memory allocation from your production applications. It assigns that information to the source code which generated it.

You can quickly provision a VM with everything you need for your deep learning project on Google Cloud. Deep Learning VM Image makes it simple and quick to create a VM image containing all the most popular AI frameworks for a Google Compute Engine instance. Compute Engine instances can be launched pre-installed in TensorFlow and PyTorch. Cloud GPU and Cloud TPU support can be easily added. Deep Learning VM Image supports all the most popular and current machine learning frameworks like TensorFlow, PyTorch, and more. Deep Learning VM Images can be used to accelerate model training and deployment. They are optimized with the most recent NVIDIA®, CUDA-X AI drivers and libraries, and the Intel®, Math Kernel Library. All the necessary frameworks, libraries and drivers are pre-installed, tested and approved for compatibility. Deep Learning VM Image provides seamless notebook experience with integrated JupyterLab support.

DevOps Orchestration refers to the practice of creating any task across the SDLC or Operations functions using any combination of tools and environments. The process logic is centralized away from the individual tools. Maestro includes plug-ins and pre-built tasks. These templates can be used for continuous integration, test automation and release management, DevOps visibility and automated deployment. No matter if your DevOps tools reside on-premise, in the cloud, or both, Maestro can connect them all! Maestro connects your tools seamlessly to create a seamless workflow for Continuous Integration and Continuous Delivery. The workflow "CompositionTM", above, shows a Git checkout and Jenkins build. Sonar code checks are performed, as well as testing steps. Custom notifications are then sent. You can eliminate manual tasks from your custom releases process and create a repeatable, precise set of tasks that will execute every time.

Redis and Memcached are now more reliable, available, and scalable. Memorystore automates complex tasks such as patching, monitoring, failover, and high availability for open-source Redis and Memcached so you can spend more of your time programming. Start small and scale up your instance. Memorystore for Memcached supports clusters up to 5 TB, supporting millions of QPS with very low latency. Redis Memorystore instances are replicated across two zones, providing a 99.9% availability guarantee. Instances are monitored constantly and with automatic failover--applications experience minimal disruption. You can choose from two of the most popular open-source caching engines to build your application. Memorystore is protocol compatible and supports Redis and Memcached. Choose the engine that best suits your needs and budget.

You can get on-demand access production, development, or test environments. This allows you to innovate better, speed up delivery of the application, and streamline delivery to production. We can design and implement cloud infrastructure to meet your business's needs today and tomorrow. We are experts in designing Web-scale architectures that can be load-balanced and auto-scaled. They can also self-healing and cost-effective. You only pay for the resources you use, while still being able to respond to spikes in demand. To ensure infrastructure that is self-documenting and versioned, we embrace the Infrastructure as Code philosophy. Get the insight you need into your applications to identify bottlenecks and understand resource requirements. Automatic scaling can be done if necessary and alert the appropriate stakeholders. We work closely with your developers to create your application's build- and deployment pipeline.

Create a new, scalable cloud infrastructure. You can exercise control over your cloud environment and create separate organizations. You can provision your systems using cloud and virtualization platforms such as Red Hat Enterprise Virtualization or Amazon. You can also set retirement dates and scale your environment according to your needs. Simulate what-if scenarios in your real-world environment to enable proactive resource planning and continuous insight into consumption levels. This will allow for detailed chargeback, quotas and policy creation. SmartState historical trend and performance analytics can help you understand the different aspects of your cloud environment. You can define the policy for your environment and then follow up with automated alerts and responses if your environment changes.

Ternary is the first FinOps native cloud cost optimization tool. Built for Google Cloud. You can make better decisions, spend more wisely, and create a culture of collaboration, accountability, and trust between the finance and engineering departments. FinOps, which is a combination best practices, systems, and culture, is the operating model that manages variable cloud spend. It ensures that companies get the most out of every cloud dollar they spend. Ternary is available to assist you at every stage of your FinOps journey. Ternary creates tools that connect finance and engineering using FinOps principles. Ternary is the missing link between finance and engineering, allowing for visibility and context across all teams. Ternary's workflows provide visibility, encourage collaboration, and accountability to enable you to monitor, prioritize, and track cost optimizations throughout an organization.

Opal is a security platform that allows organizations to scale least privilege. This creates new ways for teams and makes them more productive. We believe that access should be decentralized and self-serviceable. It should also be integrated with the technologies your team uses. Eliminate bottlenecks. Delegate access requests to the people who have the most context. More context = better and faster decisions Intelligent automation. Opal will handle everything, granting access when it is most important, sending reminders and removing access when it is not needed. Transparency is important. It is important to be transparent about who approves access, who can access what, what the status of requests are, and many other things. Avoid the telephone game! Companies give away far too much access. Access is granted in a way which is too coarse and for an indefinite period of time. Many companies use incongruent and painfully manual methods of granting access just in time.

Kata Containers is Apache 2 software. It consists of two main components: Kata Agent and Kata Containerd Shim v2 runtime. It also includes a Linux kernel, versions of QEMU and Cloud Hypervisor, as well as Firecracker hypervisors. Kata Containers are light and fast, integrate with container management layers (including popular orchestration tools like Docker and Kubernetes), and offer the security benefits of VMs. Kata Containers currently supports Linux (host or guest). We have instructions for installing several popular distributions on the host side. Clear Linux, Fedora and CentOS 7 rootfs images are available out-of-the box through the OSBuilder. This can also be used to roll guest images.

Secure, frictionless access to cloud infrastructure. Access to major cloud platforms and thousands more cloud resources is possible with password-free access. We integrate seamlessly with AWS and GCP, Azure, as well as other cloud-native tools. Just-in-time access for developers will end overprivileged access. DevOps users have the ability to request access to cloud resources with "just enough privileges" to gain time-bound access. Eliminate productivity bottlenecks caused by a central administrator. You can create approval policies that are based on many factors. View a list of unaccessed and granted resources. Stop worrying about credential theft and credential sprawl. Developers can gain passwordless access to cloud resources with Trusted Platform ModuleTM (TPM) technology. Use our free assessment tool to discover potential vulnerabilities and learn how Procyon can solve the problem within hours. Use TPM to identify users and devices.

Test Kitchen offers a test harness that allows you to execute infrastructure code on a single platform or multiple platforms. A driver plugin architecture can be used to run code on different cloud providers and virtualization technology such as Vagrant and Amazon EC2, Microsoft Azure and Google Compute Engine. Many testing frameworks, including Chef InSpec, Serverspec and Bats For Chef Infra workflows are supported. If you include a cookbooks/ directory, Kitchen will know what to do. All Chef-managed community cookbooks use Test Kitchen as the integration testing tool of preference for cookbooks.