What is Cloud SQL?

If you are building an application, chances are you will need a relational database for  transaction processing. That’s where Cloud SQL comes in. It is a fully managed relational database for MySQL, PostgreSQL and SQL Server. It reduces maintenance cost and automates database provisioning, storage capacity management, backups and out of the box High availability and Disaster recovery/failover. Click to enlargeHow to set up Cloud SQL?Cloud SQL is easy to set up. You select the region and zone where you would like the instance to be and they get created. Configure the machine type with the right number of CPU & amount of memory your application needsChoose storage type between solid state and hard disk drives depending on latency, QPS and cost requirements. Reliability & Availability Cloud SQL also offers automated backups and point-in-time recovery options. You can set time slots and locations for backups. For production applications it is recommended to enable built-in high availability (HA) option which supports99.95% SLA. With this, Google Cloud continuously monitors the Cloud SQL instance with a heartbeat signal and when a master fails an automatic failover is triggered to another zone in your selected region in case of an outage. You can also create replicas across regions to protect fromregional failure. And, you can enable automatic storage increase to add more storage when nearing capacity. Cloud SQL Insights, a free tool, helps detect, diagnose, and identify problems in a query for Cloud SQL databases. It provides self-service, intuitive monitoring, and diagnostic information that goes beyond detection to help you to identify the root cause of performance problems.How to migrate an existing MySQL database to Cloud SQL?If you have an existing application that you are moving to cloud then chances are that you need to migrate your existing SQL database to Cloud SQL. Database Migration Service(DMS) simplifies migration of MySQL and PostgreSQL databases from on-premises, Google Compute Engine, and other clouds to Cloud SQL. It is serverless, easy to set up and available at no additional cost. It replicates data continuously for minimal downtime migrations. Here’s how it works: Provide your data source details – type of database engine MySQL, PostgreSQL, Amazon RDS or others.  Pick one time or continuous replication for minimal downtime. Create a Cloud SQL instance as your destination.For connectivity to the source instance DMS makes it easy by providing multiple options. You can allow-list an IP address, create a reverse SSH tunnel via cloud hosted Virtual Machine or set up VPC peering. Finally test and promote the migrated instance to primary Cloud SQL instance. Security & ComplianceThe data in CloudSQL is automatically encrypted at rest and in transit. External connections can be enforced to be SSL-only. For secure connectivity you can also use Cloud SQL Proxy which is a tool to help you connect to your Cloud SQL instance from your local machine. You can control network access with firewall protection. From the compliance perspective Cloud SQL is SSAE 16, ISO 27001, PCI DSS v3.0, and HIPAA compliant.Cloud SQL in actionCloud SQL can be used in multiple use cases in conjunction with different compute options. You can use it in any application as a transactional database, long-term analytics backend with BigQuery, predictive analytics with Vertex AI and event driven messaging with Pub/Sub. Cloud SQL when combined with Datasteam(Change Data Capture) makes a great real-time analysis solution for any incoming data. Here are a few examplesWeb/mobile applicationMobile gaming Predictive analysisInventory trackingConclusionWhatever your application use case may be, Cloud SQL is designed to integrate with different services within and outside Google Cloud. Use this fully managed relational database and let Google take care of the endless maintenance required to run a database including setting up servers, applying patches and updates, configuring replication and managing backups. Instead, focus your energy on higher priority work where you can really add value. For a more in-depth look into Cloud SQL check out the documentation.For more #GCPSketchnote, follow the GitHub repo. For similar cloud content follow me on Twitter @pvergadia and keep an eye out on thecloudgirl.devRelated ArticleMigrate your Microsoft SQL Server workloads to Google CloudCloud SQL for SQL Server is now available, so it’s easy to migrate your Microsoft SQL Server 2008 instances for a managed, compatible dat…Read Article
Quelle: Google Cloud Platform

How to check all the right boxes for your cloud migration before you get started

Cloud adoption and migrations have continued to accelerate over the years. According to Flexera’s 2021 State of the Cloud report, 31% of respondents spend at least $12,000,000 per year on public cloud, which is up from 16% in the same survey in 2020. Additionally, enterprises already run about 47% of their workloads and store 44% of their data in the public cloud. Organizations have come a long way, but many still have at least half way to go to full migration to the public cloud. As the public cloud becomes a multi-billion dollar business and the IaaS market share of computing continues to grow, enterprises leverage the public cloud more and more each year. But even though self-provisioning of new workloads in public clouds is simple, migrating existing services to the cloud requires more preparation. A common misperception is that migrating existing workloads to the public cloud, especially those with a lot of data, is complex, time consuming and risky. With the right planning, however, enterprise IT organizations can rapidly establish good migration practices to accelerate migrations and lower risk. To help you through all of this, we’ve put together a guide and checklist of essential tips for the four key parts of the migration process: Assess, Plan, Migrate, and Optimize. Those four key phases will help ensure a successful cloud migration, so we’ve put together this white paper to explore those facets, and we concluded with a handy checklist to help you get started right away, part of which you can see in the screenshot below:At Google Cloud, we’re here to help make sure your migration goes successful from start to finish (and beyond)! To learn more, download this migration guide and checklist. Or, if you’re really ready to jump start your migration today, you can take advantage of our current offer by signing up for a free discovery and assessment or exploring our Rapid Assessment and Migration Program (also known as RAMP).
Quelle: Google Cloud Platform

AWS Database Migration Service unterstützt jetzt die Migration mehrerer Datenbanken in einer Aufgabe unter Verwendung von MongoDB als Quelle

AWS Database Migration Service (AWS DMS) erweitert die Funktionalität um die Unterstützung der Migration mehrerer Datenbanken in einem Vorgang unter Verwendung von MongoDB und Amazon DocumentDB (mit MongoDB-Kompatibilität) als Quelle. Mit AWS DMS können Sie jetzt mehrere Datenbanken eines MongoDB-Clusters gruppieren und sie mit minimaler Ausfallzeit mit einer DMS-Aufgabe zu jedem von AWS DMS unterstützten Ziel, einschließlich Amazon DocumentDB (mit MongoDB-Kompatibilität), migrieren.
Quelle: aws.amazon.com

Amazon Monitron bringt ein neues Ethernet-Gateway-Gerät auf den Markt

Heute kündigen wir die Markteinführung von Amazon Monitron Gateway (Ethernet) an, einem neuen Gateway-Gerät, mit dem Kunden ihr Ethernet-Netzwerk nutzen können, um Monitron mit dem Internet zu verbinden. Das Ethernet-Gateway ergänzt das WiFi-Gateway, das im Dezember 2020 eingeführt wurde, und bietet Kunden noch mehr Optionen für die Internetkonnektivität von Amazon Monitron. Amazon Monitron ist ein End-to-End-System, das Machine Learning (ML) nutzt, um abnormale Bedingungen in industrieller Ausrüstung zu erkennen, sodass Sie eine vorausschauende Wartung einführen und ungeplante Ausfallzeiten reduzieren können. Es umfasst Sensoren zum Erfassen von Vibrations- und Temperaturdaten von Geräten, ein Gateway-Gerät zum sicheren Übertragen von Daten an AWS, den Amazon Monitron Service, der die Daten mithilfe von Machine Learning auf abnormale Gerätebedingungen analysiert, und eine dazugehörige mobile App zum Einrichten der Geräte und Empfangen der Berichte zum Betriebsverhalten und zur Warnung vor möglichen Fehlern in Ihren Geräten.
Quelle: aws.amazon.com

Amazon RDS for MariaDB unterstützt die Nebenversionen 10.5.12, 10.4.21, 10.3.31, 10.2.40

Amazon Relational Database Service (Amazon RDS) for MariaDB unterstützt jetzt die MariaDB-Nebenversionen 10.5.12, 10.4.21, 10.3.31 und 10.2.40. Wir empfehlen Ihnen, auf die neuesten Nebenversionen zu aktualisieren, um bekannte Sicherheitslücken in früheren Versionen von MariaDB zu beheben und von den zahlreichen Fehlerbehebungen, Leistungsverbesserungen und neuen Funktionen der MariaDB-Community zu profitieren.
Quelle: aws.amazon.com