|@google-cloud/storage||172.76 kB||Apache-2.0||7 Years||7 Sep 2023|
|pm2-axon-rpc||3.58 kB||MIT||9 Years||1 Apr 2021|
|firebase-tools||552.88 kB||MIT||9 Years||12 Sep 2023|
|@google-cloud/pubsub||374.13 kB||Apache-2.0||7 Years||15 Sep 2023|
|@google-cloud/firestore||549.59 kB||Apache-2.0||6 Years||20 Jul 2023|
|applicationinsights||331.63 kB||MIT||9 Years||16 Aug 2023|
|@azure/core-auth||8.72 kB||MIT||4 Years||3 Aug 2023|
|@azure/core-tracing||15.13 kB||MIT||4 Years||5 May 2022|
|@azure/core-rest-pipeline||160.91 kB||MIT||2 Years||7 Sep 2023|
|@azure/abort-controller||11.95 kB||MIT||4 Years||5 May 2022|
|parse||890.52 kB||Apache-2.0||11 Years||15 Sep 2023|
|@azure/core-lro||66.08 kB||MIT||4 Years||24 Jul 2023|
|@azure/core-client||133.51 kB||MIT||3 Years||1 Jun 2023|
|@azure/core-paging||7.43 kB||MIT||4 Years||2 Feb 2023|
|@azure/identity||270.71 kB||MIT||4 Years||15 Aug 2023|
Serverless Computing: Cloud computing libraries enable application logic to run in response to specific triggers such as changes to data in a database, shifts in system state, or user actions. This is especially useful in architectures that embrace the Serverless model where application code is primarily executed in ephemeral containers.
Scalable Data Storage: Cloud libraries offer storage solutions that easily scale. As your data grows, these services handle the growth behind the scenes, freeing you from the complexities associated with scaling storage architecture.
Distributed Systems: In a distributed system where various services need to communicate synchronously or asynchronously, cloud libraries can offer the necessary inter-service communication, queue management, and event-driven messaging.
Big Data Processing: For applications handling big data and requiring real-time processing, cloud libraries provide many big data analysis tools.
The functionalities provided by cloud computing libraries cover a broad spectrum, depending on the services available in each cloud provider. However, common functionalities usually include:
Database Services: This can include both SQL and NoSQL database strategies.
Storage Services: Libraries often provide functions to handle large object storage (like video, audio, and high-resolution images) as well as finer grained storage.
Networking Services: Includes functionalities like load balancing and DNS management.
Analytics Services: Includes tools for data processing and analysis.
Machine Learning Services: Functions are available to leverage machine learning models and integrate them into applications.
Serverless Functions: Allows for the triggering of ephemeral functions resulting in highly scalable and cost-effective execution of business logic.
As with any technology, there are potential pitfalls when working with cloud computing libraries. Below are a few to consider:
Vendor Lock-In: When choosing a cloud library, developers are often tied to the cloud services and APIs of that specific vendor. This makes it difficult to switch to another cloud provider without significant code changes.
Understanding Costs: While cloud services can scale automatically, so can the associated costs. Understanding the costing model of your cloud provider is paramount.
Security: It is crucial to correctly set permissions and manage service keys. Misconfigurations can leave your application vulnerable to data breaches.
Version Control: Just like any npm package, cloud libraries evolve and have version changes. These can introduce breaking changes if not cautiously handled.
Networking Issues: Depending on the region of your cloud servers, latency might be a problem. Ensuring your application can effectively handle these latencies is crucial.
Dependency on Third-Party Services: Remember that servers run by a third-party are not under your control. Outages and service disruptions, while rare, can occur and be harmful to your application's performance.