Jika Anda membuat fungsi baru, lihat Panduan Memulai Konsol di Cloud Run. Konten di halaman ini hanya berlaku untuk fungsi lama yang sudah ada yang dibuat dengan Cloud Functions v1 API.
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Meminimalkan Cold Start dengan Pemberi Rekomendasi
Pemberi rekomendasi adalah layanan yang
otomatis memberikan rekomendasi dan insight untuk menggunakan resource di
Google Cloud, berdasarkan metode heuristik, machine learning, dan penggunaan
resource saat ini. Setiap rekomendasi berisi link yang dapat Anda klik untuk menerapkan
rekomendasi tersebut untuk fungsi Anda.
Topik ini menunjukkan cara menggunakan Pemberi Rekomendasi untuk meminimalkan
cold start:
Deteksi fungsi yang dapat memperoleh manfaat dari penyiapan instance minimum (dengan
kata lain, fungsi yang mungkin terpengaruh secara negatif oleh masalah cold
start).
Memberi tahu pengguna tentang peluang untuk menghilangkan masalah cold start.
Izinkan pengguna menyiapkan instance minimum langsung dari sistem
rekomendasi.
Ketersediaan rekomendasi setelah deployment
Pemberi rekomendasi otomatis memberikan rekomendasi untuk suatu fungsi paling
lambat seminggu setelah di-deploy.
Setelah jangka waktu ini, rekomendasi untuk fungsi tersebut akan ditampilkan bersama fungsi tersebut pada halaman daftar fungsi di halaman Ringkasan fungsi Cloud Run di konsol Google Cloud dan di Hub Rekomendasi.
Cara alternatif untuk menggunakan rekomendasi
Selain penggunaan rekomendasi yang dibahas di halaman ini dalam UI fungsi Cloud Run, rekomendasi juga tersedia melalui hal berikut:
Cari fungsi dalam daftar yang memiliki ikon bola lampu Performa
di kolom Rekomendasi.
Klik Performa untuk melihat detail rekomendasi:
Ringkasan alasan rekomendasi ini disarankan.
Rekomendasi itu sendiri.
Jika Anda memutuskan untuk menerapkan rekomendasi, tetapkan jumlah instance
minimum, lalu klik Terapkan.
Tindakan ini akan men-deploy ulang fungsi dengan nilai instance minimum yang baru. Setelah itu,
rekomendasi tidak akan lagi ditampilkan di samping fungsi.
Menolak rekomendasi
Klik Tolak jika Anda ingin menolak rekomendasi tanpa menerapkannya.
Tindakan ini akan mencegah rekomendasi untuk fungsi tersebut muncul lagi selama
30 hari.
Melihat rekomendasi di Hub Rekomendasi
Anda juga dapat melihat rekomendasi di Hub Rekomendasi.
Untuk mengetahui informasi lebih lanjut, baca dokumentasi
Memulai Hub
Rekomendasi.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-19 UTC."],[[["\u003cp\u003eRecommender helps minimize cold starts in Google Cloud functions by detecting functions that would benefit from setting minimum instances.\u003c/p\u003e\n"],["\u003cp\u003eRecommendations are automatically provided for functions one week after deployment and are displayed in the Cloud Run functions Overview page.\u003c/p\u003e\n"],["\u003cp\u003eUsers can view recommendations, get details on why they're suggested, and directly apply the recommendation to set minimum instances.\u003c/p\u003e\n"],["\u003cp\u003eIn addition to the Cloud Run functions UI, recommendations are accessible through the Recommender API, BigQuery export, and Recommender Logs.\u003c/p\u003e\n"],["\u003cp\u003eRecommendations can be dismissed for 30 days if they are not applicable, and recommendations can also be found in the Recommendation Hub.\u003c/p\u003e\n"]]],[],null,["# Minimize Cold Starts with Recommender\n=====================================\n\nRecommender is a service that\nautomatically provides recommendations and insights for using resources on\nGoogle Cloud, based on heuristic methods, machine learning, and current\nresource usage. Each recommendation includes a link you can click to put the\nrecommendation into effect for your function.\n\nThis topic shows how to use [Recommender](/recommender) to minimize\ncold starts:\n\n- Detect functions that could benefit from setting up the minimum instances (in other words, functions that are likely to be negatively affected by cold start issues).\n- Inform users about the opportunity to eliminate cold start issues.\n- Let users set up the minimum instances directly from the recommendation system.\n\nRecommendation availability after deployment\n--------------------------------------------\n\nRecommender automatically provides recommendations for a function as\nsoon as a week after it has been deployed.\nAfter this period of time, recommendations for the function are displayed with\nthe function on the function list page in the\n[Cloud Run functions Overview page](https://console.cloud.google.com/functions/list)\nin the Google Cloud console and in the\n[Recommendation Hub](/recommender/docs/recommendation-hub/identify-configuration-problems).\n\nAlternate ways of using recommendations\n---------------------------------------\n\nIn addition to the use of recommendations covered on this page inside the\nCloud Run functions UI, recommendations are also available through the following:\n\n- [Recommender API](/recommender/docs/using-api)\n- [BigQuery export](/recommender/docs/bq-export/export-recommendations-to-bq)\n- [Recommender Logs](/recommender/docs/viewing-logs)\n\nViewing and accepting recommendations for Cloud Run functions\n-------------------------------------------------------------\n\nTo view and accept a recommendation in the Cloud Run functions user interface:\n\n1. [Go to the Cloud Run functions Overview page](https://console.cloud.google.com/functions/list)\n\n2. Look for functions in the list that have a **Performance** light bulb\n icon in the **Recommendation** column.\n\n3. Click **Performance** to view details for the recommendation:\n\n - An overview of why this recommendation is being suggested.\n - The recommendation itself.\n4. If you decide to apply the recommendation, set the number of minimum\n instances and click **Apply**.\n\n This redeploys the function with the new minimum instance value. After this,\n the recommendation will no longer be displayed next to the function.\n\nDismissing a recommendation\n---------------------------\n\nClick **Dismiss** if you want to dismiss the recommendation without applying it.\nThis prevents the recommendation for that function from appearing again for\n30 days.\n\nViewing recommendations in Recommendation Hub\n---------------------------------------------\n\nYou can also view recommendations in the Recommendation Hub.\nFor more information refer to the Recommendation Hub\n[Getting started](/recommender/docs/recommendation-hub/identify-configuration-problems)\ndocumentation."]]
