In a major refresh of Google Cloud Storage, new storage classes, data lifecycle management tools, improved availability and lower prices helping customers store their data with the right type of storage is introduced.
Cloud Storage now offers a broad range of storage options to meet the needs with the general availability of four new storage classes that offer a consistent API and data access performance with simple-to-understand and highly competitive pricing include:
In addition, Cloud Storage partner ecosystem is expaned as well and is now offering Coldline storage class (both directly through Google and through these partners).\
Cloud Storage Coldline, a new low-latency storage class for long-term archiving and disaster recovery. It provides fast and instant (millisecond) access to cold data and is perfect for archiving big data or multimedia content.
It also works well with Nearline to provide tiered storage for data as it cools.
It’s priced at just $0.007 per gigabyte per month plus a simple and predictable access fee of $0.05 per GB retrieved.
Those interested can use Google Cloud Storage Transfer Service to migrate will receive several months of free storage (up to 100PB) [depending on the amount of data migrating to Coldline].
Additionally, Switch and Save program is extended to include Coldline as well.
Google Cloud Storage today also introducing two new Multi-Regional and Regional classed:
Multi-Regional is a highly available and geo-redundant storage class, and is best suited for business continuity, or for serving multimedia content.
In case a regional outage happen, it transparently routes requests to another available region without disruption. Google notes, all existing Standard storage buckets are now converted to Multi-Regional storage class.
Available in US, EU and Asia, it’s priced at $0.026 per GB per month (including storage of all replicas, replication over Google network and connection rerouting).
While Storage Regional, is a highly available storage class redundant within a single region to deliver low end-to-end latency. It also well serves data transcoding or big data analytics workloads running on “Google Compute Engine, Google Cloud DataProc, Google Cloud Machine Learning or BigQuery” with high throughput.
It cost $0.02 per GB per month. All existing regional location Standard storage buckets are now converted to Regional storage class.
Google notes, that effective November 1, “API operations pricing for both Multi-Regional and Regional storage classes will be: $0.005 per 1,000 operations for Class A, and Class B will cost $0.004 per 10,000 operations.”
The beta of new data lifecycle management capabilities enable Cloud Storage bucket to now hold data in different storage classes. And the lifecycle policy feature will “automatically transition objects in-place to appropriate colder storage class based on the age of the objects,” google explained.
Google Stackdriver is now generally available for hybrid cloud monitoring, logging and diagnostics offering world-class reliability and scalability on Google Cloud Platfrom.
Stackdriver, as Google explains “was designed to make ops easier by reducing burden associated with keeping applications fast, error-free and available in the cloud.” And, today it’s adopted by companies of all sizes to simplify ops.
Further Google notes, “it started with to monitor and alert on metrics from GCP, Amazon Web Services and common application components such as Tomcat, Nginx, Cassandra and MySQL. And, it later to get to the root of issues quickly, it added Stackdriver Logging, Error Reporting, Trace and Debugger.”
The Stackdriver Premium bundles advanced monitoring and logging into a single low-cost package. Those running GCP or Amazon Web Services, can sign up for a 30-day free trial of Stackdriver Premium here.
To learn more about Stackdriver, check the documentation here.
A new way for enterprises to capitalize on Google scale and innovation with Pivotal Cloud Foundry (PCF) collaborating with Google Cloud Platform (GCP), brings Pivotal’s enterprise cloud-native experience together with Google’s infrastructure and innovative technology.
This level of integration with Google’s infrastructure “enables enterprise to build and deploy apps that can scale, store and analyze data quicklym,” google writes. Deployments of PCF on GCP can include:
“Cloud Foundry applications deployed on GCP utilize Google Cloud Load Balancing, which spin up from zero requests to millions automatically. It also bring fast boot times for rapid scaling on virtual machines.”
Industry-leading price:performance ratio on cloud compute resources, including GCP-specific pricing features around per-minute billing, sustained use discounts and inferred usage discounts
Further, it expose GCP services directly into Cloud Foundry, as the integration allows “customers to access Google’s data and machine learning (ML) services within customer applications via custom-built service brokers.”
ML and data services available in PCF today include: “Google BigQuery, Google Cloud Storage, Google Cloud SQL, Google Cloud Pub/Sub, Google Cloud Vision API, Google Cloud Speech API, Google Cloud Natural Language API, and Google Translate API.”
For more information and example deployment architecture, as well as links to various setup guides, you can check out the solutions document titled “Pivotal Cloud Foundry on Google Cloud Platform” here. “These links range from the lower-level OSS bits up through step-by-step installation guides with screenshots.”
Google Stackdriver Debugger, is generally available today, allows engineers to inspect an application’s state, its variables and call stack at any line of code without stopping the application or impacting the customer, google explained.
Google notes, a number of new features such as “support for multiple source repositories, logs integration and dynamic log point insertion” were added since it was launched in beta.
With the debug snapshot, you can examine “call-stack and variables and view raw logs associated with Google App Engine projects all on one page,” explains google.
For those not aware, “Stackdriver’s Debug page uses source code from repositories such as Github and Bitbucket or local source to display and take debug snapshots.” “You can also use the debugger without any source files at all, simply by typing in the filename and line number.”
Out of the box, it include support for “Google App Engine (Standard and Flexible): Java, Python, Node,” and “Google Compute Engine and Google Container Engine: Java, Python, Node (experimental), Go.”
In addition, using publicly accessible Stackdriver Debugger API, “you can implement own agent to capture debug data for your favorite programming language,” writes Google. In addition, you can integrate “Stackdriver Debugger UI into your favorite IDE to directly set and view debug snapshots and logpoints,” Google added.