Google Cloud Platform Solutions and Technologies
Solve your business challenges and prepare your team with Google Cloud solutions, products, and services.
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
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
If you’re looking for a visual way to learn Google Cloud products, the Google Cloud Tech YouTube channel has a series of whiteboard sketches that explain cloud tools in about 5 minutes each.10 whiteboard sketch videos that bring Google Cloud to life
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
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!
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...
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)
Google Africa DeveloperScholarship 2022 Sign Up Form Google Africa Developer Scholarship 2022 Sign Up FormAndela, Grow with Google, and Pluralsight announced a new partnership for the Google Africa Developer Scholarship 2022 program, a program that aims to train 30,000 developers across the continent.The Google Africa Developer Scholarship (GADS) program gives participants free access to select courses, projects, embedded labs labs, and skill assessments. This is an opportunity for participants to further advance their knowledge and skills in Android, Google Cloud, or Mobile Web technologies.Deadline to Apply: 31st May 2022
Hello, I am collecting some data for analytics and the intent is to store it in the BQ DB. Need some guidance on structuring the table so that I can utilize BQ ML for analytics.I have reviewed the best practices document of do’s and don’ts. What I am interested is in guidance on table design to optimize some repetitive data and some of the data is in JSON. Please reach out if you are in a position to help!https://www.linkedin.com/in/srinivasan-vanamali-2507004/
Hello All, Udacity Collaborates with Google Cloud to Offer the Cloud Digital Leader & Getting Started with Google Workspace Courses Important links: Announcement: https://www.udacity.com/blog/2022/04/udacity-collaborates-with-google-cloud-to-offer-the-cloud-digital-leader-getting-started-with-google-workspace-courses.html Free Cloud Digital Leader course: https://www.udacity.com/course/google-cloud-digital-leader-training--ud301 50% off in Cloud Digital Leader certification for Limited time : https://udacity.zendesk.com/hc/en-us/articles/5981575246733 Hope this helps. Enjoy getting certified 😊👍🏻
Shared Benefits of DevOps and SREWith the growing complexity of application development, organizations are increasingly adopting methodologies that enable reliable, scalable software. For over a decade, two similar concepts, DevOps and SRE, have been existing together in the world of software development. They may look like competitors. However, a closer view reveals that obvious rivals are complementary pieces of a puzzle that fit nicely together. DevOps is a broad philosophy and culture because it affects more major changes than SRE does. DevOps is more context-sensitive. DevOps is relatively silent on how to run operations at a detailed level. Site Reliability Engineering (SRE), on the other hand, relatively defined responsibilities. Its remit is generally service-oriented and ends user-oriented rather than the completely business oriented.This chapter from the book "The Site Reliability Workbook" explains how DevOps and SRE facilitate building reliable software, where they overlap
We’re exactly a month away from our Google Cloud Applied ML Summit happening on June 9th, 2022! Join us for 18 sessions all about developing, deploying, and managing ML models at scale from the world’s leading professional machine learning engineers and data scientists. Listen to AI/ML leaders from a wide range of industries and companies including Uber, Ford, H&M, and more. Plus, you’ll get to choose your own adventure with our three different tracks designed to best meet your ML interests: Data to ML Essentials Fast-Track Innovation Self-Improving ML Register today for this digital event and view the full agenda now. We can’t wait to see you there!
Today at Google I/O, we’re thrilled to announce the preview of AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database service that provides a powerful option for modernizing your most demanding enterprise database workloads.Compared with standard PostgreSQL, in our performance tests, AlloyDB was more than four times faster for transactional workloads, and up to 100 times faster for analytical queries. AlloyDB was also two times faster for transactional workloads than Amazon’s comparable service. This makes AlloyDB a powerful new modernization option for transitioning off of legacy databases. Read more: at here.
Data loss and security breaches are becoming increasingly common events in today’s world. It is not a matter of when, but if a disaster of any kind will happen. All of an organization’s information must be protected and readily available at all times in order for a business to survive. Considering this fact, the importance of backups cannot be overestimated. However, while backing up vital data is an integral part of any business’s IT strategy, having backups − whether they are a cloud backup or on-prem − is not the same as having a disaster recovery plan. Differentiating backup from disaster recovery can help you develop effective strategies for avoiding the consequences of downtime and business disruptions.Understanding the basics of backup and disaster recovery is critical for minimizing the impact of unplanned downtime on your business. Across all industries, organizations recognize that downtime can quickly result in lost sales and revenue, interrupted service, possible supply ch
Anthos Clusters on Azure and Anthos Clusters on AWS now support Kubernetes versions 1.22.8-gke.200 and 1.21.11-gke.100
With Anthos Multi-Cloud, you can create Kubernetes clusters in both AWS and Azure cloud environments. Anthos clusters integrate with cloud provider specific resources such as load balancers and persistent storage.With a single-cloud platform design, you are forced into using highly-integrated cloud-specific tools. This creates one silo for each cloud environment. With Anthos clusters, you can deploy workloads to multiple clouds with a unified management, signaling, and configuration control plane.You can manage your Kubernetes clusters on AWS and Azure from the Google Cloud console. With Connect gateway, you can connect to your clusters in any cloud with your Google Cloud identity for authentication.For more information about other Anthos clusters environments, see Anthos clusters.Let me know what you think about this latest announcement from Google in the comments section.
Executives and employees increasingly put their faith in AI to make business-critical decisions, AI creates new opportunities that never existed before, and MLOps gets real. AI has matured. Adoption is increasingly driven by business units and distributed throughout organizations. It triggers business process transformation through the predictive powers available with AI. I think this article on CIO.com is a good read on current AI enterprise trends. Happy reading.https://www.cio.com/article/305644/10-enterprise-ai-trends-for-2022.html
Google Cloud podcasts now all live in one central spot: cloud.google.com/podcastsEach week Google Cloud professionals, product leaders, and customers invited to peel back the layers of technologies and introduce you to cool new things!One place to hear the GCP Podcast, the Kubernetes Podcast, or hear some recent cloud blog posts read to you while you walk, cook, eat or whatever!
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