Google Cloud Platform Solutions and Technologies
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Run production workloads for as low as $40/month 😀 Cloud Spanner is a relational database service that offers industry leading 99.999% availability, and near unlimited scale to handle even the most demanding of workloads. With granular instance sizing, at a much lower cost you can still get all of the Spanner benefits like transparent replication across zones and regions, high-availability, resilience to different types of failures, and the ability to scale up and down as needed without any downtime. And with Committed Use Discounts, the entry price for production workload further reduces to less than $40/month as you receive a 40% discount for a 3-year commitment.Read further https://cloud.google.com/blog/products/databases/use-spanner-at-low-cost-with-granular-instance-sizing
Architecture of web-based e-commerce applicationSLOs are well-defined, concrete targets for system availability. They represent a dividing line between user happiness and unhappiness, and they frame all discussions about whether the system is running reliably as perceived by users. The SLO Adoption and Usage Survey reveal that, despite the importance of SLOs in ensuring the reliability of services, many organizations have not implemented SLOs. The survey also shows that organizations using SLOs fail to update them regularly as their businesses evolve. These missed opportunities can keep organizations from gaining all of the benefits SRE offers.It's because defining SLOs is a difficult task and many do not know where to start. In addition, our experience with customers suggests that teams may lack executive support, a critical component in SLO definition, alignment, and success. This blog from the Google Cloud SRE & DevOps blogs explain a step-by-step guide for building SLOs and de
When developing a machine learning model, running multiple Trials of your training code with different values can be very time-consuming. Serverless hyperparameter tuning and multi-GPU setup are two services to make model training faster with Vertex AI, Google’s managed AI platform. Nikita Namjoshi demonstrates in this I/O 2022 video how to use these features. They are real time-savers.https://io.google/2022/program/934cbc5f-42bb-4f6c-99fe-4972995eb381/
Hi,We are building an open source Data Observability tool dqo.ai and we wondering what kind of data quality issues we should focus on. So far we are able to monitor timeliness (if the data is fresh), validity (values in columns not meeting requirements), consistency (anomalies how the number of rows is growing over time), uniqueness.I will appreciate the feedback about the typical data quality issues that are worth continuous monitoring.The code is open source on github: https://github.com/dqoai/dqo Best Regards, Piotr
Well, it was in preview... But, finally it got GA 😎You can now begin deploying Spot VMs in your Google Cloud projects to start saving now. For an overview of Spot VMs, see our Preview launch blog and for a deeper dive, check out our Spot VM documentation.Modern applications such as microservices, containerized workloads, and horizontal scalable applications are engineered to persist even when the underlying machine does not. This architecture allows you to leverage Spot VMs to access capacity and run applications at a low price. You will save 60 - 91% off the price of our on-demand VMs with Spot VMs.To make it even easier to utilize Spot VMs, we’ve incorporated Spot VM support in a variety of tools. GKE for instance 🚀Read further https://cloud.google.com/blog/products/compute/google-cloud-spot-vms-now-ga
Hi C2C community! I’m Grace, an Associate Product Marketing Manager on the Google Cloud Data Analytics team, flying in with the second Google Cloud Data Heroes Series blog post ☁️In the Google Cloud Data Heroes series, we share stories of the everyday heroes who use our data analytics tools to do incredible things ⭐️ 🤩 In this edition, you'll meet our hero, Antonio, a lead data engineer from Peru 🇵🇪 who built an e-commerce recommendation system on BigQuery, Dataflow, and Cloud Pub/Sub. Outside of work, he is building the next generation of data enthusiasts in Peru through teaching at universities, organizing Data Day conferences, and writing Medium articles.Interested in being the next Google Cloud Data Hero? Fill out this form!
What is IDENTITY? What is ACCESS? What is I&AM? What are the differences between Authentication and Authorization?🤔🖐Welcome to the complex world of Application Security! No worries! You will understand IAM easily from this 3-minute simple story of your own life: “IAM in the Airport”."I&AM in Airport" -IAM Explained Simply in Fun Story Hi🖐, I am Della, I am a cloud professional, IT professor, and learning designer. I want to help you understand cloud, and understand career in cloud, in simple, easy, and fun stories!If you like this video, you can find more from my channel “Simple ‘it’ Story Shows” on cloud services, resources, and IT works. Yes, Cloud is complicated. But you can understand "it", one story at a time, and have fun! 😀 https://www.youtube.com/channel/UC1bu...
Let us introduce you to our Infrastructure Moderators: Dickson VictorUsername: vickBio:I am a passionate learner and a tech enthusiast. I love impacting and contributing to the knowledge of others. I feel a lot of fulfilment when I am able to help another person solve a challenge or fix a problem. After coming from a non-tech background and successfully pivoting into tech, I have learned to be empathetic and understand the pain-points of new learners or entrants trying to break into a tech career.Company: NVIT- New Vision Institute of Technology Job Title: DevOps Engineer Seiji Manoan SeoUsername: seijimanoanBio:My name is Seiji. I’m a 30-year-old dad of two based in Brazil. I have a BS in Management and an MBA in Cloud Computing. I have worked in IT for over ten years. I began with web development and simple automation scripts, and then went on to full-stack development, mobile, and infrastructure. In the past 3 years, I've had experience working for an investment broker, a
Google Cloud has created a new award to recognize excellence in DevOps implementations, and the inaugural awardee is Broadcom.Reading through the linked article, it makes sense why Broadcom was recognized! With an average of 6,500+ deployments across multiple environments in a day, and by consolidating from 60 data centers globally to 27 Google Cloud Regions and points of presence, Broadcom has reduced their teams’ maintenance burden and enabled a new focus on innovation.It’s always fun, to me, to see companies getting DevOps right. There are real benefits that can be realized with good practices!https://symantec-enterprise-blogs.security.com/blogs/feature-stories/broadcom-software-honored-first-ever-google-cloud-devops-award
What are SLOs?Service level objectives (SLOs) are part of a set of measures to increase the quality of service management. This set of instructions helps to understand which behaviors really matter, how to measure them and how to evaluate them so that the service has an acceptable quality. SLOs are key to making data-driven decisions about reliability. They are at the core of SRE practices. This brings greater confidence to the Site Reliability Engineering (SRE) team about what is important for the full functioning of the service, as well as resulting in a positive end-user experience. Why SREs Need SLOs?Site Reliability Engineers cannot manage their services correctly if they have not identified the behaviors most important to the service and to customers. Carefully considered SLOs prioritize the work of SRE teams by providing data points that allow leaders to consider the opportunity cost of performing reliability work versus investing in functionality that will gain or retain cus
Hi everyone!I'm starting to work with Google Vertex and I had this question regarding the scalability of the endpoints.When I configure an endpoint I must:1) set hardware for the training machine (n1-standard-2, for example);2) set a minimum and maximum number of computer nodes.Number 1 is mandatory and number 2 is optional (if configured, new nodes will only be instantiated with the configuration defined in item 1).What is unclear to me is when I should invest in a larger hardware configuration (1) and when I should invest in a larger number of nodes (2).Does anyone have an idea?Thank you!
We’re facing two odd (and related) problems: There doesn’t seem to be a way to establish a PTR record for our primary domain’s IP address, as it’s assigned to a GCP load balancer. A reverse lookup for the IP we’re using maps to a .bc.googleusercontent.com domain, and this domain provides a cached, persistent, NON-SSL, and Google indexed version of our side, none of which can be Good.Has anyone had any experience with either of these issues? Thanks!
Let us introduce you to our Getting Started on Google Cloud Moderator: Katsiaryna VyshydkevichUsername: katsiaryna-vyshydkevichBio: Katsiaryna Vyshydkevich (@Katsiaryna Vyshydkevich), or Kate, is an experienced QA Engineer based in Belarus, where she studied at the University of Informatics and Radioelectronics. Kate is passionate about cloud and self-driving cars. A committed advocate for women in the Google Cloud ecosystem, she serves as an #IamRemarkable workshop facilitator, a WTM Ambassador, and a mentor for the Women in Tech community. Beyond the cloud, Kate is an avid traveler who dreams of visiting every part of the world. She enjoys windsurfing, books, and seeing local amateur theater productions.Company: InteticsJob Title: Senior QA Software Engineer
In this video, Priyanka Vergadia, Developer Advocate at Google, will unbox Google Cloud. Watch and imagine you are a cloud architect for the imaginary Foo.com company looking to build your platform on Google Cloud. You'll learn what is Google Cloud and how can you get started.Use case: getting started with Google Cloud
Google Cloud Managed Service for Prometheus lets you monitor and alert on your workloads, using Prometheus, without having to manually manage and operate Prometheus at scale.Google Cloud Managed Service for Prometheus lets you monitor and alert on your workloads, using Prometheus, without having to manually manage and operate Prometheus at scale.Managed Service for Prometheus is Google Cloud's fully managed storage and query service for Prometheus metrics. This service is built on top of Monarch, the same globally scalable data store as Cloud Monitoring. A thin fork of Prometheus replaces existing Prometheus deployments and sends data to the managed service with no user intervention. This data can then be queried by using PromQL through the Prometheus Query API supported by the managed service and by using the existing Cloud Monitoring query mechanisms.You can explore more Here
In the linked blog post, posted just today, Google Cloud has announced that they are modifying the pricing structure for Managed Service for Prometheus. The modifications include the addition of a new tier for those with massive utilization of the service, along with reduction in pricing for every tier available.https://cloud.google.com/blog/products/devops-sre/managed-service-for-prometheus-offers-new-pricing-tierMonitoring and providing clear visibility into your systems is an essential element of DevOps and SRE workloads. Prometheus is a powerful tool to provide that, but can get challenging to maintain in a performant, resilient, consistent manner across widely distributed workloads. Google Cloud’s Managed Service for Prometheus takes the burden of managing and scaling your Prometheus datastore off of your teams so they can focus on using the data instead of on collecting and storing it. Are you using Managed Service for Prometheus? How much of a savings will your team realize from
While using internal load balancer, scale out event happens (due to traffic metric activation), a new instance is created.At this point I noticed that all existing instances do not get traffic AT ALL from the load balancer for at least 10 seconds (traffic drops to zero).This cause a sever traffic failures to the backend and only after a few minutes when the scale out event completes the old instanced get traffic back.
The clock is ticking… don’t miss your chance to register for this year’s Applied ML Summit happening in three weeks on June 9, 2022. Our practitioner-oriented sessions will teach you how to: Streamline the process to audit, track and govern ML models Automate and monitor AI integration, deployment, and infrastructure management Train high quality ML models in minutes with AutoML Make the most of your Google Cloud investments in Vertex AI training and prediction Build reliable, standardized AI Pipelines … and more.You’ll also get to hear Andrew Moore, VP and GM for Cloud AI and Industry Solutions for Google Cloud, and Priyanka Vergadia, Developer Advocate for Google Cloud, lead a conversation with Smitha Shaym, Director of Engineering for UberAI, and Bryan Goodman, Director of AI and Cloud for Ford, on accelerating the deployment of predictable ML in production. Save your spot today and make sure to check out our site for more event updates and details!
Hey there 😊 I come here to share a blog post authored by me. Those tips can help someone to deploy Falco on GKE for sure.Falco is a HIDS tool, open source and backed by CNCF.Falco, the cloud-native runtime security project, is the de facto Kubernetes threat detection engine Falco is the first runtime security project to join CNCF as an incubation-level project. Falco acts as a security camera detecting unexpected behavior, intrusions, and data theft in real time.Amazing, huh?Make your workloads safer right now!👉 See how on Begin with Falco deployment on GKE (seiji.com.br)
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