If you’ve embarked on your site reliability engineering (SRE) journey, you’ve likely started using service-level objectives (SLOs) to bring customer-focused metrics into your monitoring, perhaps even utilizing Service Monitoring as discussed in “Setting SLOs: a step-by-step guide.” Once you're able to decrease your alert volume, your oncallers are experiencing less operational overhead and are foc
Command and control now easier in BigQuery with scripting and stored procedures We hear from our customers that you’re big fans of our BigQuery data warehouse and its features: the ability to handle massive datasets, the petabyte-scale performance, and the ability to create and execute machine learning models in SQL. We also know that you have complex tasks that you execute in your BigQuery enviro
※この投稿は米国時間 2019 年 8 月 22 日に Google Cloud blog に投稿されたものの抄訳です。 運用やスケーラビリティ、セキュリティといったことを気にすることなく、コンテナ化されたサーバーレス アプリケーションを実行できる Cloud Run は、デベロッパーにとってうれしい存在です。アプリケーションをコンテナにパッケージングし、Cloud Run にデプロイすれば、フルマネージドの HTTPS エンドポイントを取得できます。 このたび、私たちは Google Cloud Platform（GCP）の Cloud Run にコンテナ化アプリケーションをデプロイする Cloud Run Button をリリースしました。Cloud Run Button の画像とリンクをソースコード リポジトリの README に追加すると、他のユーザーでも当該アプリケーションをボタ
We’re very excited to announce that Google has entered into a definitive agreement to acquire Looker, a unified platform for business intelligence, data applications, and embedded analytics. The acquisition of Looker is expected to be complete later this year and is subject to customary closing conditions, including the receipt of regulatory approvals. Upon the close of the acquisition, Looker wil
Eyal ManorGeneral Manager/VP of Engineering, Application Modernization Platform Whether it’s to increase developer velocity, or to lower the operational overhead of managing infrastructure, using serverless compute can help developers focus on writing code that delivers business value. Today, we are excited to share some of the investments we are making at Google Cloud around serverless computing.
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