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Google speeds up code search for better and quicker development

Google is beefing up its cloud platform at its Cloud Next Tokyo ’18 conference. Among the raft of announcements, the company introduced a new code search feature as it revamped the Cloud Service Repositories.

Cloud Source Repositories is a development service like GitHub that helps developers to privately host, track, and manage changes to large codebases on Google Cloud Platform. It is integrated with other GCP tools which allows users to automatically build, test, deploy and debug code.

Using the code search feature in Cloud Source Repositories, the developers will be able to search across multiple projects, files, and repositories using the regular expressions. It will help them quickly review and debug the code.

Google said that the Cloud Source Repositories are powered by the same underlying code search infrastructure that Google engineers use to perform their code search.

“You get super-fast results and save a lot of time finding that piece of code that you know you’ve seen before. The code search in Cloud Source Repositories uses the same document indexing and retrieval technologies that are used for Google Search, making it work very quickly,” wrote Russell Wolf, Product Manager, Google, in a blog post.

“Using this code search can improve developer productivity, whether you host your code in Cloud Source Repositories or mirror your code from the cloud versions of GitHub or Bitbucket.”

According to a study, the programmers conduct an average of five search sessions with 12 total queries each day. The motive of code search is to find the location of code, why it is behaving a certain way, who edited the code and when was it done, and how to perform a task.

Also read: Google grants $9 million cloud credit to CNCF for further development of Kubernetes

When any code is typed in the search box, the suggestions will appear for matching results. Google said that the developers will see suggestions indicating whether the match is an entity if the search term is for Java, JavaScript, Go, C++, Python, TypeScript and Proto files.

The Cloud Source Repositories are currently in beta.

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Google unveils VPC Flow Logs for real-time visibility into network operations 

Google has rolled out a new tool for tracking network operations on its Google Cloud Platform (GCP) called VPC Flow Logs. The move is aimed at enabling enterprises with a deeper, real-time visibility into their networks, so that they can track the network flows and improve security and business operations.

Logging and monitoring are essential to network and security operations of an organization, because these help in identifying traffic and access patterns that could present operational or security risks.

“VPC Flow Logs allow Google’s cloud customers to track network flows all the way down to an individual virtual interface, in near-real-time,” wrote Ines Envid, Google Cloud Platform product manager, in a blog post.

VPC Flow Logs is similar to NetFlow, but Flow Logs comes with additional features. It offers network telemetry for GCP environments, using which the logs can be created within five-second intervals. Also, the network telemetry logs can be collected at various levels, from a variety of sources.

Enterprises can use VPC Flow Logs to track internal VPC traffic, flows between VPC and on-premises deployments, flows between servers and internet endpoint, as well as the flows between servers and Google services.

Image Source: Google

The data generated using VPC Flow Logs can be exported securely to Stackdriver Logging or BigQuery. The Stackdriver Logging enables organizations to store, search, analyze and alert on log data and events from GCP and AWS. It is a managed and scalable solution to ingest data from applications and systems from Virtual Machines.

The new tool can help companies with several operational tasks, including monitoring of applications from network perspective, and optimizing network usage and egress. It enables visibility into application’s global traffic, and allows users to optimize bandwidth utilization, network costs, load balancing and content distribution.

Also read: Google adds new features and capabilities to its TensorFlow, for AI developers

It can also help in performing network forensics to investigate suspicious behavior, and provide real-time security analysis.

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Google brings advanced Stackdriver features to non-premium users 

Google is bringing advanced functionalities and simplified pricing model to its Stackdriver— the monitoring, logging and diagnostic solution for applications that run on Google Cloud Platform (GCP) and Amazon Web Services (AWS).

Stackdriver Monitoring enables organizations to visualize the performance, uptime, and overall health of the cloud applications, by collecting metrics and metadata from GCP and AWS. It automatically discovers and monitors the resources from both the clouds.

At present, there are several monitoring features in Stackdriver which are available to premium-tier users only. These features include alerting and notification options for monitoring, and creating monitoring dashboards and alerting policies. From 30th June 2018, these advanced functionalities will be available to the users without premium pricing.

Furthermore, Google has simplified the pricing model for Stackdriver Monitoring and Stackdriver Logging services. With the new pay-as-you-go pricing model, organizations will need to pay only for the data they send for monitoring, instead of the number of resources in projects.

The free-trial option for GCP metrics will be replaced by permanent free allocation. Customers can use all GCP metrics and first 150 MB of non-GCP metrics per month for free.

Google has reduced pricing for monitoring non-GCP metrics by 80%. The non-GCP metrics include agent metrics, AWS metrics, log-based metrics and custom metrics. The pricing has been dropped from $0.258 to $0.061 per MB.

Stackdriver Logging enables organizations to store, search, analyze and alert on log data and events form GCP and AWS. It is a managed and scalable solution to ingest data from applications and systems from Virtual Machines.

Google increased retention of Stackdriver logs from seven days to three days for all the users. The Stackdriver Logging users will get 50 GB free allocation of ingested logs every month. In case of using logs over the free limit, Google will charge $0.50 per GB.

Also read: Acronis bolsters its leadership position in cloud data protection with Google Cloud partnership

The new exclusion filters option will help users to optimize the costs by applying filters for services they want to use. The new pricing models for Monitoring and Logging will be independent, and will be applicable from June 2018.

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Despite revenue decline, Cisco fights back with new acquisition and plans for product extensions

Cisco Systems Inc. recently announced its intent to buy Springpath Inc, leading hyperconvergence software provider for $320 Million in cash.

The decision came few days after the computer networking giant announced its fourth quarter earnings report of a declining revenue base.

Total revenue was down 4% recorded at $12.41 billion.

The revenue from many of its products was considerably low (5% down). The primary products revenue was down in the fourth quarter, while services saw an increase by 1%. Security and wireless offerings recorded 3% and 5% upsurge. While other revenue sources were all in the decline, including switching and routing (9% down year-over-year).

Reportedly, analysts said that they don’t expect much improvement to the business in coming quarters, but the company can perform well in the long run. This can be due to the increased efforts towards acquisition of software and subscription businesses.

The intention to buy Springpath can be considered as one such effort. Cisco’s HyperFlex HCI (hyper-converged infrastructure) is an Original Equipment Manufacturer(OEM) of Springpath.
The duo, thus, have been working very closely since 2012, when Springpath was founded. And, most of the customers and channel partners expected the companies to merge businesses in future.

Rob Salvagno, Vice-President, Corporate Business Development, Cisco said, “This acquisition is a meaningful addition to our data center portfolio and aligns with our overall transition to providing more software-centric solutions,”

He further added, “Springpath’s file system technology was built specifically for hyperconvergence, which we believe will deliver sustainable differentiation in this fast-growing segment. I’m excited to be able to provide our customers and partners with the simplicity and agility they need in data center innovation.”

The company also announced its plans to extend ACI (Application Centric Infrastructure) into public cloud segment.

In a company blog it said that now the customers will be able to run applications across their private as well as public cloud. The service will soon be available on Microsoft Azure, Amazon Web Services and Google Cloud platform.

With this, the company aims to offer maximum flexibility to its customers. Currently, ACI service supports multiple hypervisors, Linux containers and bare metal servers. The company even co-engineered with over 65 Data Center ecosystem partners who run their products with ACI. This has helped ACI turn into the most flexible and widely deployed SDN (Software defined networking) solution.

And now by extending the same facility to public cloud domain, customers will get more benefits.

With such developments and efforts in revamping product line, it would be interesting to see how Cisco jumps back with higher revenues.

Stay tuned for updates!