Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(8)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(29)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(147)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Google’s Android N Preview- Developers Perspective

Google released its new operating system Android N preview on 09-03-2016. Google’s unexpected announcement of Android N Developer came that time when several mobile phone manufacturers are struggling to make the Android 6.0 Marshmallow update available to their premium devices.

The launch of Android N developer’s preview saw a good audience and it’s also going to be much, much easier for anybody to try it out. The plan of releasing it in May came little early, as Google wanted to release the preview earlier in order to get more feedback from developers in the process and get the final N release into the hands of device manufacturers this summer. Google’s current plan calls for five preview releases and a final release in Q3 2016.

Google has been working hard on matching Windows and iOS by building a native side-by-side app mode in Android. For Android N, the feature is apparently ready for prime time.

Before you plan of investing in Google’s new OS Android N, here are a few APIs and features we want to highlight which are available as a part of the “Android N Developer Preview”:

Multi-window
A new manifest attribute called android:resizableActivity is available for apps targeting N and beyond. If this attribute is set to true, your activity can be launched in split-screen modes on phones and tablets. You can also specify your activity’s minimum allowable dimensions, preventing users from making the activity window smaller than that size. Lifecycle changes for multi-window are similar to switching from landscape to portrait mode: your activity can handle the configuration change itself, or it can allow the system to stop the activity and recreate it with the new dimensions. In addition, activities can also go into picture-in-picture mode on devices like TVs, and is a great feature for apps that play video; be sure to set android:supportsPictureInPicture to true to take advantage of this.

Screenshot_20160311-121807Screenshot_20160311-121851

 

 

Direct reply notifications
The RemoteInput notification API, which was originally added for Android Wear, now works in N for phones and tablets. Using the RemoteInput API enables users to reply to incoming message notifications quickly and conveniently, without leaving the notification shade.

android-n-how-download

 

 

Bundled notifications
With N, you can use the Notification.Builder.setGroup() method to group notifications from the same app together – for example individual messages from a messaging app. Grouped notifications can be expanded into individual notifications by using a two-finger gesture or tapping the new expansion button.

Screenshot_20160311-121610 Screenshot_20160311-121558

 

 

Efficiency
You can launch Doze in Marshmallow to save battery when your device is stationary. In N, Doze additionally saves battery whenever the screen turns off. If you’ve already adapted your app for Doze, e.g. by using the GCM high priority message for urgent notifications, then you’re set; if not, here is how to get started. Also, we’re continuing to invest in Project Svelte, an effort to reduce the memory needs of Android so that it can run on a much broader range of devices, in N by making background work more efficient. If you use JobScheduler for background work, you’re already on the right track. If not, N is a good time to make that switch. And to help you out, we’re making JobScheduler even more capable, so now you can use JobScheduler to react to things like changes to content providers.

android_n_notification_

 

 

Improved Java 8 language support
We’re excited to bring Java 8 language features to Android. With Android’s Jack compiler, you can now use many popular Java 8 language features, including lambdas and more, on Android versions as far back as Gingerbread. The new features help reduce boilerplate code. For example, lambdas can replace anonymous inner classes when providing event listeners. Some Java 8 language features –like default and static methods, streams, and functional interfaces — are also now available on N and above. With Jack, we’re looking forward to tracking the Java language more closely while maintaining backward compatibility.

untitled-infographic

 

 

Start-Up Time
If you’ve ever updated software on your Android smartphone or tablet, you’ve almost certainly seen that infuriating ‘Optimizing Apps’ popup up card immediately after installing and booting up your device. Depending on how many apps you have, it can take anytime between a couple of minutes and a bazillion years (slight exaggeration) to get past this stage. One of the less obvious new features is that Android’s ‘Optimizing Apps’ screen during startup barely takes any time at all to work through its process with N (Nutella?). Thankfully, with Android N, we won’t have to wait for very long at all.

android-n-app-switcher

 

 

Night Mode
Google has bought Night Mode option back, which user can turn to anytime. The night mode produces less strain to user and is addition option in Android N.

Screenshot_20160311-124248 Screenshot_20160311-124254

 

 

Get Started
The N Developer Preview includes an updated SDK with system images for testing on the official Android emulator and on Nexus 6, Nexus 5X, Nexus 6P, Nexus Player, Nexus 9, and Pixel C devices.

This initial preview release is for developers only and not intended for daily use or consumer use. Google plans to update the N Developer Preview system images often during the Developer Preview program. As they are getting closer to a final product, Google will be inviting consumers to try it out as well.

There is more to come as Google continue developing the release. Google is also making it easier for you to try out N on your development devices with the new Android Beta Program. Started yesterday, you can update your Android devices to the developer preview of N and receive ongoing updates via OTA by visiting g.co/androidbeta.

We at Mantra Labs keep continuous watch on latest Technology updates by Google, Apple, Microsoft and others to drive next generation of mobile apps.

 

Cancel

Knowledge thats worth delivered in your inbox

Silent Drains: How Poor Data Observability Costs Enterprises Millions

Let’s rewind the clock for a moment. Thousands of years ago, humans had a simple way of keeping tabs on things—literally. They carved marks into clay tablets to track grain harvests or seal trade agreements. These ancient scribes kickstarted what would later become one of humanity’s greatest pursuits: organizing and understanding data. The journey of data began to take shape.

Now, here’s the kicker—we’ve gone from storing the data on clay to storing the data on the cloud, but one age-old problem still nags at us: How healthy is that data? Can we trust it?

Think about it. Records from centuries ago survived and still make sense today because someone cared enough to store them and keep them in good shape. That’s essentially what data observability does for our modern world. It’s like having a health monitor for your data systems, ensuring they’re reliable, accurate, and ready for action. And here are the times when data observability actually had more than a few wins in the real world and this is how it works

How Data Observability Works

Data observability involves monitoring, analyzing, and ensuring the health of your data systems in real-time. Here’s how it functions:

  1. Data Monitoring: Continuously tracks metrics like data volume, freshness, and schema consistency to spot anomalies early.
  2. Automated data Alerts: Notify teams of irregularities, such as unexpected data spikes or pipeline failures, before they escalate.
  3. Root Cause Analysis: Pinpoints the source of issues using lineage tracking, making problem-solving faster and more efficient.
  4. Proactive Maintenance: Predicts potential failures by analyzing historical trends, helping enterprises stay ahead of disruptions.
  5. Collaboration Tools: Bridges gaps between data engineering, analytics, and operations teams with a shared understanding of system health.

Real-World Wins with Data Observability

1. Preventing Retail Chaos

A global retailer was struggling with the complexities of scaling data operations across diverse regions, Faced with a vast and complex system, manual oversight became unsustainable. Rakuten provided data observability solutions by leveraging real-time monitoring and integrating ITSM solutions with a unified data health dashboard, the retailer was able to prevent costly downtime and ensure seamless data operations. The result? Enhanced data lineage tracking and reduced operational overhead.

2. Fixing Silent Pipeline Failures

Monte Carlo’s data observability solutions have saved organizations from silent data pipeline failures. For example, a Salesforce password expiry caused updates to stop in the salesforce_accounts_created table. Monte Carlo flagged the issue, allowing the team to resolve it before it caught the executive attention. Similarly, an authorization issue with Google Ads integrations was detected and fixed, avoiding significant data loss.

3. Forbes Optimizes Performance

To ensure its website performs optimally, Forbes turned to Datadog for data observability. Previously, siloed data and limited access slowed down troubleshooting. With Datadog, Forbes unified observability across teams, reducing homepage load times by 37% and maintaining operational efficiency during high-traffic events like Black Friday.

4. Lenovo Maintains Uptime

Lenovo leveraged observability, provided by Splunk, to monitor its infrastructure during critical periods. Despite a 300% increase in web traffic on Black Friday, Lenovo maintained 100% uptime and reduced mean time to resolution (MTTR) by 83%, ensuring a flawless user experience.

Why Every Enterprise Needs Data Observability Today

1. Prevent Costly Downtime

Data downtime can cost enterprises up to $9,000 per minute. Imagine a retail giant facing data pipeline failures during peak sales—inventory mismatches lead to missed opportunities and unhappy customers. Data observability proactively detects anomalies, like sudden drops in data volume, preventing disruptions before they escalate.

2. Boost Confidence in Data

Poor data quality costs the U.S. economy $3.1 trillion annually. For enterprises, accurate, observable data ensures reliable decision-making and better AI outcomes. For instance, an insurance company can avoid processing errors by identifying schema changes or inconsistencies in real-time.

3. Enhance Collaboration

When data pipelines fail, teams often waste hours diagnosing issues. Data observability simplifies this by providing clear insights into pipeline health, enabling seamless collaboration across data engineering, data analytics, and data operations teams. This reduces finger-pointing and accelerates problem-solving.

4. Stay Agile Amid Complexity

As enterprises scale, data sources multiply, making Data pipeline monitoring and data pipeline management more complex. Data observability acts as a compass, pinpointing where and why issues occur, allowing organizations to adapt quickly without compromising operational efficiency.

The Bigger Picture:

Are you relying on broken roads in your data metropolis, or are you ready to embrace a system that keeps your operations smooth and your outcomes predictable?

Just as humanity evolved from carving records on clay tablets to storing data in the cloud, the way we manage and interpret data must evolve too. Data observability is not just a tool for keeping your data clean; it’s a strategic necessity to future-proof your business in a world where insights are the cornerstone of success. 

At Mantra Labs, we understand this deeply. With our partnership with Rakuten, we empower enterprises with advanced data observability solutions tailored to their unique challenges. Let us help you turn your data into an invaluable asset that ensures smooth operations and drives impactful outcomes.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot