Google Cloud Platform Solutions and Technologies
Solve your business challenges and prepare your team with Google Cloud solutions, products, and services.
Bundesliga Data Shoot Out - New Kaggle competion
Potential to win $12000. In this competition, you'll detect football (soccer) passes—including throw-ins and crosses—and challenges in original Bundesliga matches. You'll develop a computer vision model that can automatically classify these events in long video recordings.Your work will help scale the data collection process. Automatic event annotation could enable event data from currently unexplored competitions, like youth or semi-professional leagues or even training sessions. https://www.kaggle.com/competitions/dfl-bundesliga-data-shootout Good luck
Google Cloud Deploy enhancements now available!
Have you seen the blog post just published today about Google Cloud Deploy and the enhancements that are now available? If you haven’t, go check it out! Thanks to the work of the Google Cloud Deploy team, continuous software deployment to GKE is getting easier to manage.Google Cloud Deploy was only released to general availability in January 2022, and the team is actively enhancing its capabilities. In this update, Google Cloud Deploy has added auto generation of a Skaffold configuration for single manifest applications. This is a nice jump start for teams who aren’t familiar with Skaffold.Delivery management improvements include the ability to pause a pipeline temporarily, and to abandon a release. Release Inspector is a shiny new difference comparison tool that enables users to more easily review application manifests.From an enterprise perspective, this update allows you to deploy Google Cloud Deploy delivery pipelines and target resources using Google Cloud Platform’s Terraform pro
Data transformation in BigQuery
Hello All, I need to a build transformation to load a target table from 80+ source tables (all source tables are staged into BigQuery). From the 80+ tables, 30+ tables will be refreshed every 1 hr from their source systems and remaining will be once a day. Now the target table should be refreshed every 1 hr as soon as data is staged and the target table will have 350+ columns and hourly source data volume will be 40M ( 90% data will be changes to existing data and 10% or less will be new data) and over all table volume will be around 3B records. Any best practices or suggestion on designing transformation for this scenario ? Thanks,
Monetization was a key selling point of Apigee
AccuWeather, a weather media and big data firm, used apigee to reach a new target audience and generate new revenue streams!Apigee is more than just an API Gateway; it is an API Management Platform that may assist API-driven clients in developing new services and fine-tuning pricing plans in order to reach new consumers.If you want to discover more about AccuWeathers' journey, read the case study below! https://cloud.google.com/customers/accuweather/
Fastest Two Minutes in SecOps: Cloud security [Video]
Dave Herrald, senior security strategist at Google Cloud and a former CISO at a payment processes company. How can you succeed in the cloud’s new detection (and response) context, architect a more resilient cloud, keep SOC teams less frustrated and more upbeat, and most of all leverage the cloud to kickstart your security operations transformation? In the below video, Herald boils down a very big conversation—cloud security—into something salient and actionable. Enjoy!
Efficient Video-Text Learning with Iterative Co-tokenization
Video question-answering is a major difficulty for #ML models because it necessitates a grasp of both semantic and temporal information. Google invented iterative co-tokenization to this end, which efficiently integrates geographical, temporal, and linguistic information.AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research, Brain Team wrote in details :To learn more, click on the following link:https://ai.googleblog.com/2022/08/efficient-video-text-learning-with.html
[Infographic] Have your SIEM ... and augment it too
How would you feel if you found that you could have your SIEM and also enhance it? For three examples of real-world use scenarios, scroll through the infographic below. If you add Chronicle to your current legacy SIEM, it will help your security operations team scale, be more affordable, and have a stronger reaction. However, replacing a SIEM can sometimes be an expensive endeavour, and every firm is at a different point of its security operations journey. One choice is to "augment" their stack using Chronicle SIEM from Google, which may help you rapidly and inexpensively achieve better security outcomes. What can you truly accomplish with a Chronicle enhancement, beyond the numbers? A new infographic makes three real-world application scenarios easier to understand. Google chronicle defines them in three titles:The “Cover All Your Bases” use case The “Hoarding is Rewarding” use case The “Automation Station” use caseClick on the following link to view the infographic:https://chronicle.
Accelerate time to value with seamless data movement on Google Cloud
Data is of tremendous value, but according to research, almost 70% of organizations are unable to get value from their data. To accelerate time to value, data needs to be seamlessly ingested, integrated and/or replicated to a cloud environment to take advantage of its analytical, BI and AI use cases. Google Cloud delivers a simplified approach for all your Data Movement needs through a highly differentiated product portfolio. The portfolio is supplemented by key strategic partners to support your Data Movement needs. In this session, learn how organizations can unlock data value using best-in-class, cloud native products on Google Cloud and its partners such as Confluent, Fivetran and Striim.This webinar will begin with a Fireside Chat with Benjamin Brown (Forrester) followed by a panel discussion with Confluent, Fivetran, and Striim Event Date and Time : 17 August 2022 17:00-18:00 BST Please click on the following link to join the event:https://cloudonair.withgoogle.com/events/data-m
Uploading a database file
Started a new project. Added a MySQL instance. Now, I want to work on Chinook database as part of learning.I do not think Import Option will be the right option as it asks for SQL/CSV file to import. In other words, this appears to be the place to import data that comes with a database. But the structure of data is yet not uploaded. Perhaps need to upload chinook.db file. Guidance on how to start working with Chinook database appreciated. I have worked on Chinook database after downloading SQLite on my PC. Looking forward to replicating the same on Google Cloud.
Google Cloud for AWS & Azure Professionals
Get an overview of the Google Cloud for AWS Professionals course. Take a tour of Google Cloud's main pillars with Eoin Carroll, Technical Curriculum Developer. During presentations and demos, you'll explore: Google Cloud Console Google Compute Engine Google Cloud Marketplace Google Cloud Storage Google Kubernetes Engine Google App Engine Access management in Google CloudPlease click on the following link to start journey from AWS to Google cloud:
Uswitch: Digging deeper with Google Vertex AI
Uswitch uses data science to adapt to a competitive marketplace and is passing on the lessons it's learning to its wider RVU group of brands, empowering people to make better purchasing decisions.Uswitch started its migration to Google Cloud in 2015 after deciding to leave its current cloud infrastructure. The company had previously used on-premises Hadoop clusters, but this configuration started to have issues, especially with performance and maintenance.Uswitch had thought that switching to a different cloud provider would alleviate some of these issues, but that turned out to be untrue. The Data team was intrigued with BigQuery's capabilities and decided to give it a try.Find out how USwitch overcome their data problem with google vertex AI:"We would love to transform every part of the product selection journey that our customers go through. Whether that’s understanding more about them or building algorithms that work out the best deals. And Google Cloud is enabling us to do just th
Measure your Service/Api using Apdex score
Practical approach to implementing Apdex alerts in PrometheusWhy Apdex?Apdex provides a single number that attempts to quantify a user’s experience of requests to a web service. We first decide what we consider to be an acceptable response time from our service, in Apdex terminology this is called the T value. We then classifies requests as follows:All error responses are intolerable. All responses qucker than T are satisfactory. All responses slower than T, but quicker than 4T are tolerable. All responses slower than 4T are intolerable.The Apdex score for a service, over a given time, is a ratio of intolerable vs satisfactory and tolerable responses.apdex = (satisfactory + (tolerable / 2)) / totalHigh error rates and slow response times will result in a lower Apdex score. By encapsulating errors and high latency in a single metric Apdex attempts to quantify our users experience of our service as a single number. Since a low Apdex score implies either high rates of errors or undesirabl
The 8 biggest AI trends in 2022
Bernard Marr, author of the books 'The Intelligence Revolution' and 'Artificial Intelligence in Practice' has compiled his list of the biggest AI trends in 2022. In this 7-minute video, he speaks about the following trends: AI will augment our workforce Better language modeling capability Cyber security AI and the Metaverse Low-code and no-code AI Data-centric AI Autonomous vehicles Creative AIWhat is your opinion? Which of these trends affect you in your work and personally?Here is the video:
Google Cloud Study Buddy - 2022
Welcome to ACE Study Buddies! We’re kicking off a one-month study session, during which we’ll dive deep into topics covered in the ACE certification exam study guide. Thinking about registering for the exam? Great! Not interested in ACE? Also great! The topics we’ll cover apply to exam prep and the real world. Here’s what you get:No-cost access to valuable learning resources including labs, Q&A, and curated content. No-cost access to earning four skill badges, a Google Cloud credential. A Study Buddy badge, exclusively for participating in the inaugural study buddy month. Plus you’ll have an opportunity to join a team of study buddies to help each other share resources, stay motivated, and grow your personal network. Get startedHere’s how to participate:Join the game! Use this code to join: 1q-study-458 Choose your team.NOTE: You cannot change teams after you join, so choose carefully! Start a lab and play the game!NOTE: You’ll notice some of the game items are unavailable. We’ll
How Wayfair is reaching MLOps excellence with Google Vertex AI
Based on his experience utilising Google Vertex AI, Christian Rehm, Senior Machine Learning Engineer at Wayfair, has published an article in Google Cloud. How is vertex AI help to resolve his complex problem you will discover here. when Google announced its Vertex AI platform in 2021, the timing coincided perfectly with our search for a comprehensive and reliable AI Platform. Although we’d been working on our migration to Google Cloud over the previous couple of years, we knew that our work wouldn’t be complete once we were in the cloud. We’d simply be ready to take one more step in our workload modernization efforts, and move away from deploying and serving our ML models using legacy infrastructure components that struggle with stability and operational overhead. This has been a crucial part of our journey towards MLOps excellence, in which Vertex AI has proved to be of great support. Please visit the following link for more details :https://cloud.google.com/blog/products/ai-machine-l
Data center key migration guides, in one place
How you can migrate common workloads in successful ways. You can working directly with Google Cloud Rapid Assessment and Migration Program (RAMP), Google also offer a plethora of self-service guides to help you succeed! Some of these guides, which we’ll cover below, are designed to help you identify the best ways to migrate, which include meeting common organizational goals like minimizing time and risk during your migration, identifying the most enterprise-grade infrastructure for your workloads, picking a cloud that aligns with your organization’s sustainability goals, and more: Get started with this cloud migration guide and checklist Key considerations for building a migration factory to Google Cloud Understanding the cloud migration strategies at your disposal Understanding how to migrate key enterprise workloads to Google Cloud Microsoft Modernization path for .NET applications on Google Cloud Managed Service for Microsoft Active Directory is GA Migrating Microsoft wo
Lift your VMware workloads to the Google Cloud
Your key takeaways from this webinar. Google Cloud VMware Engine:Allows you to seamlessly migrate your existing VMware workloads to the Cloud. Is a fully managed integrated offering that enables you to run a Software Defined Data Center in Google Cloud. Allows you to continue using the 3rd party tools and solutions which you’ve been using on-premise thanks to our wide range of 3rd-party tool support. Here is the link below to join the event https://cloudonair.withgoogle.com/events/lift-your-vmware-workloads-cloud Retiring or extending data centers to the cloud is currently on top of most technical decision-makers’ minds—not just to benefit from on-demand burst capacity or first-class security as your business requires it, but also to have access to solutions that allow you to derive new insights from existing data to quickly make informed decisions. Google Cloud VMware Engine allows you to seamlessly migrate your existing VMware workloads to the cloud. Run your workloads in Google Clo
Report recommendation: Drive existing best practices for security hygiene
The U.S. Department of Homeland Security (DHS) recently announced the results of the first report from the Cyber Safety Review Board (CSRB) on the log4j software library vulnerabilities discovered in late 2021. Google welcomed the opportunity to participate in the development of the CSRB report and share our own experiences responding to this and other incidents. Building on this momentum, today we are going to share Google’s approach to address the log4j report’s recommendations. We see this as an important part of our effort to support others in the industry as we all work together to increase open source security. This includes: Driving adoption of best practices; Building a better software ecosystem; and Making long term investments in digital security. Together, these efforts demonstrate the steps we take to protect others and reflect our broader commitment to improve security for everyone. Here is the linik to read more details.https://cloud.google.com/blog/products/ident
You’re invited to Google Data Cloud Live: Atlanta in August 11, 2022
Google Data Cloud Live: Atlanta will feature technology leaders and data professionals who will share insights on how you can capitalize on the next wave of data solutions. You’ll have the opportunity to learn about the many ways that you and your organization can make smarter decisions and solve complex challenges with key innovations in AI, machine learning, analytics, and data lakes. Join this event please check the following link:https://inthecloud.withgoogle.com/google-data-cloud-live-atl/register.html
How is ip-masq-agent DaemonSet created?
Hi all,I’ve recently created several GKE clusters through some custom Terraform code. However, by default it looks like NAT-ing from the pod network is not enabled which is not desirable. So I found this article on how to enable it:https://cloud.google.com/kubernetes-engine/docs/how-to/ip-masquerade-agent#how_ipmasq_works Which did the trick just fine. However, I can’t seem to find a way to enable this during the cluster creation. I’d prefer not to have to add in the daemonset and configmap after the cluster is created. Is there any way to configure this as part of the cluster creation through Terraform? Also, this is a private cluster and I do not have access to the cluster through kubectl from where I’m running Terraform. Thanks!
Google Cloud Reader
Image Source: Google Cloud ReaderGoogle Cloud Reader is a podcast where someone is reading an article from the official Google Cloud blog for us, to us.It’s a podcast that let us listen to the Google Cloud blog posts that aren’t dependent on visuals.So, I can either read the article Charting a safer future starts at Google Cloud’s Security Summit or I can go for running or cycling and listen someone reading it for me.I’m curious to find out how many people from our members knew about it.@Katsiaryna Vyshydkevich @MarkusK @malamin @shaijut @jennworks40 @ahmedtariq1 @Bouchra.abidar @dineshnithyan @Vick @seijimanoan I'm curious if you knew about it. 🤔
Threat Detection, Investigation, and Response in the Google Cloud
A cloud service called Chronicle was developed enabling businesses to privately store, process, and search the enormous volumes of security and network telemetry they produce. It was constructed as a customised layer on top of the basic Google infrastructure. Chronicle normalises, indexes, correlates, and analyses the data to offer immediate insight and context on dangerous conduct.Using data, immediately analyse Google Cloud assists your security operations team in navigating this still developing paradigm by providing best practises and critical answers that will better equip it to deal with threats in the cloud.It contains: A technical primer on what makes cloud security different than on premises How detection and response can be best achieved in the cloud Clarity on who is responsible for detection and response in the cloud, between user and provider Why moving to the cloud is an opportunity to transform how you can achieve your SecOps goals of confidentiality, integrity, and
Hidden gems of Google BigQuery
BigQuery is amazing. It is one of the favorite tools within Google Cloud. Google always add new feature in BigQuery.Artem Nikulchenko Chief Software Architect and Champion Innovator at Google cloud discover some new interesting features in the latest BigQuery release and summarises the following four things in his article: the AUTO column, multi-statement transactions, clustering, and indexes. Please browse the main article to read more details.https://cloud.google.com/blog/topics/developers-practitioners/hidden-gems-google-bigquery
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