Charles Cooper

Charles Cooper

1610673440

Scheduling DBT Jobs with Serverless

Looking for a way to easily transform data from BigQuery? In this episode of Serverless Toolbox Extended, we show you how to transform BigQuery datasets into easy-to-read dashboards via a data build tool (dbt). Moreover, we’ll show you how to use Cloud Build, Cloud Run, and Cloud Scheduler to build a dbt container image, eliminate server maintenance, and automatically trigger run times for dbt commands. Watch to learn how you can use serverless to run a dbt command and transform your datasets in BigQuery!

Timestamps:

  • 0:00 - Overview
  • 1:03 - Running dbt with BigQuery
  • 3:08 - Creating runtimes for dbt with Cloud Run
  • 4:00 - Running a shell script in Cloud Run
  • 5:00 - Containerizing code with Cloud Build
  • 5:19 - Deploy container to Cloud Run
  • 7:04 - Setting up Cloud Schedule to automatically run your dbt
  • 10:00 - Summary

#serverless #developer

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Scheduling DBT Jobs with Serverless

Cron Job Scheduling In Laravel

Today I will show you Cron Job Scheduling In Laravel, many time we require to run some piece of code specific interval time period in laravel and we need to run manually every time but command scheduler through we can run and create cron job in laravel.

So, here i will teach you how to create cron job in laravel, and how to create custom command in laravel.

Cron Job Scheduling In Laravel

https://websolutionstuff.com/post/cron-job-scheduling-in-laravel

#cron job scheduling in laravel #laravel #scheduling #scheduler #cron #how to create cron job in laravel

Ashish parmar

Ashish parmar

1611567681

Serverless Applications - Pros and Cons to Help Businesses Decide - Prismetric

In the past few years, especially after Amazon Web Services (AWS) introduced its Lambda platform, serverless architecture became the business realm’s buzzword. The increasing popularity of serverless applications saw market leaders like Netflix, Airbnb, Nike, etc., adopting the serverless architecture to handle their backend functions better. Moreover, serverless architecture’s market size is expected to reach a whopping $9.17 billion by the year 2023.

Global_Serverless_Architecture_Market_2019-2023

Why use serverless computing?
As a business it is best to approach a professional mobile app development company to build apps that are deployed on various servers; nevertheless, businesses should understand that the benefits of the serverless applications lie in the possibility it promises ideal business implementations and not in the hype created by cloud vendors. With the serverless architecture, the developers can easily code arbitrary codes on-demand without worrying about the underlying hardware.

But as is the case with all game-changing trends, many businesses opt for serverless applications just for the sake of being up-to-date with their peers without thinking about the actual need of their business.

The serverless applications work well with stateless use cases, the cases which execute cleanly and give the next operation in a sequence. On the other hand, the serverless architecture is not fit for predictable applications where there is a lot of reading and writing in the backend system.

Another benefit of working with the serverless software architecture is that the third-party service provider will charge based on the total number of requests. As the number of requests increases, the charge is bound to increase, but then it will cost significantly less than a dedicated IT infrastructure.

Defining serverless software architecture
In serverless software architecture, the application logic is implemented in an environment where operating systems, servers, or virtual machines are not visible. Although where the application logic is executed is running on any operating system which uses physical servers. But the difference here is that managing the infrastructure is the soul of the service provider and the mobile app developer focuses only on writing the codes.

There are two different approaches when it comes to serverless applications. They are

Backend as a service (BaaS)
Function as a service (FaaS)

  1. Backend as a service (BaaS)
    The basic required functionality of the growing number of third party services is to provide server-side logic and maintain their internal state. This requirement has led to applications that do not have server-side logic or any application-specific logic. Thus they depend on third-party services for everything.

Moreover, other examples of third-party services are Autho, AWS Cognito (authentication as a service), Amazon Kinesis, Keen IO (analytics as a service), and many more.

  1. Function as a Service (FaaS)
    FaaS is the modern alternative to traditional architecture when the application still requires server-side logic. With Function as a Service, the developer can focus on implementing stateless functions triggered by events and can communicate efficiently with the external world.

FaaS serverless architecture is majorly used with microservices architecture as it renders everything to the organization. AWS Lambda, Google Cloud functions, etc., are some of the examples of FaaS implementation.

Pros of Serverless applications
There are specific ways in which serverless applications can redefine the way business is done in the modern age and has some distinct advantages over the traditional could platforms. Here are a few –

🔹 Highly Scalable
The flexible nature of the serverless architecture makes it ideal for scaling the applications. The serverless application’s benefit is that it allows the vendor to run each of the functions in separate containers, allowing optimizing them automatically and effectively. Moreover, unlike in the traditional cloud, one doesn’t need to purchase a certain number of resources in serverless applications and can be as flexible as possible.

🔹 Cost-Effective
As the organizations don’t need to spend hundreds and thousands of dollars on hardware, they don’t need to pay anything to the engineers to maintain the hardware. The serverless application’s pricing model is execution based as the organization is charged according to the executions they have made.

The company that uses the serverless applications is allotted a specific amount of time, and the pricing of the execution depends on the memory required. Different types of costs like presence detection, access authorization, image processing, etc., associated with a physical or virtual server is completely eliminated with the serverless applications.

🔹 Focuses on user experience
As the companies don’t always think about maintaining the servers, it allows them to focus on more productive things like developing and improving customer service features. A recent survey says that about 56% of the users are either using or planning to use the serverless applications in the coming six months.

Moreover, as the companies would save money with serverless apps as they don’t have to maintain any hardware system, it can be then utilized to enhance the level of customer service and features of the apps.

🔹 Ease of migration
It is easy to get started with serverless applications by porting individual features and operate them as on-demand events. For example, in a CMS, a video plugin requires transcoding video for different formats and bitrates. If the organization wished to do this with a WordPress server, it might not be a good fit as it would require resources dedicated to serving pages rather than encoding the video.

Moreover, the benefits of serverless applications can be used optimally to handle metadata encoding and creation. Similarly, serverless apps can be used in other plugins that are often prone to critical vulnerabilities.

Cons of serverless applications
Despite having some clear benefits, serverless applications are not specific for every single use case. We have listed the top things that an organization should keep in mind while opting for serverless applications.

🔹 Complete dependence on third-party vendor
In the realm of serverless applications, the third-party vendor is the king, and the organizations have no options but to play according to their rules. For example, if an application is set in Lambda, it is not easy to port it into Azure. The same is the case for coding languages. In present times, only Python developers and Node.js developers have the luxury to choose between existing serverless options.

Therefore, if you are planning to consider serverless applications for your next project, make sure that your vendor has everything needed to complete the project.

🔹 Challenges in debugging with traditional tools
It isn’t easy to perform debugging, especially for large enterprise applications that include various individual functions. Serverless applications use traditional tools and thus provide no option to attach a debugger in the public cloud. The organization can either do the debugging process locally or use logging for the same purpose. In addition to this, the DevOps tools in the serverless application do not support the idea of quickly deploying small bits of codes into running applications.

#serverless-application #serverless #serverless-computing #serverless-architeture #serverless-application-prosand-cons

Gerhard  Brink

Gerhard Brink

1620692100

10 Latest Big Data Engineer Openings At Top Firms In India

Extras:

1| Senior Technical Architect at Thoucentric

Location: Bangalore

**Responsibilities: **

  • Design and implement data architecture and ETL for a niche data platform.
  • Bring in-depth understanding on Relational, Big Data and Cloud technologies.
  • Build client relationships and participate in business development and proposal work to grow a strong data engineering sub-practice.

Apply here.

2| Data Engineer at Thoucentric

Location: Bangalore

**Responsibilities: **

  • Build data crawlers to extract data from customers’ data sources using available ETL platforms, and troubleshoot the issues faced during data loading & processing.
  • Design and build data warehouse models in columnar databases.
  • Develop data processing scripts using SQL and optimise complex sequences of SQL Queries.

Apply here.

3| Big Data Engineer at Thoucentric

Location: Bangalore

Responsibilities:

  • Take ownership of end-to-end data-pipeline including system design and integrating required Big Data tools & frameworks.
  • Implementing ETL processes and constructing data warehouse (HDFS, S3, Azure etc.) at scale.
  • Analyse the source and target system data. Map the transformation that meets the requirements.

Apply here.

Find below the data engineer job openings:

#careers #aim weekly job alerts #aimrecruits #big data engineer jobs at top firms #big data engineers job #big data jobs #data science jobs #top firm data science jobs #weekly job openings list

15 Latest Data Science And Analyst Jobs To Apply For

For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts from last week.

Data Scientists Openings

Data Science Lead at Paytm Money

Location: Bangalore

Responsibilities:

#data science job search #data science jobs #data science jobs in india #latest data science job openings #latest data science jobs #onboarding data science jobs

Christa  Stehr

Christa Stehr

1602681082

Overcoming Common Serverless Challenges with Mainframe CICS Programs

By this point most enterprises, including those running on legacy infrastructures, are familiar with the benefits of serverless computing:

  • Greater scalability
  • Faster development
  • More efficient deployment
  • Lower cost

The benefits of agility and cost reduction are especially relevant in the current macroeconomic environment when customer behavior is changing, end-user needs are difficult to predict, and development teams are under pressure to do more with less.

So serverless is a no-brainer, right?

Not exactly. Serverless might be relatively painless for a new generation of cloud-native software companies that grew up in a world of APIs and microservices, but it creates headaches for the many organizations that still rely heavily on legacy infrastructure.

In particular, enterprises running mainframe CICS programs are likely to encounter frustrating stumbling blocks on the path to launching Functions as a Service (FaaS). This population includes global enterprises that depend on CICS applications to effectively manage high-volume transactional processing requirements – particularly in the banking, financial services, and insurance industries.

These organizations stand to achieve time and cost savings through a modern approach to managing legacy infrastructure, as opposed to launching serverless applications on a brittle foundation. Here are three of the biggest obstacles they face and how to overcome them.

Challenge #1

Middleware that introduces complexity, technical debt, and latency. Many organizations looking to integrate CICS applications into a microservices or serverless architecture rely on middleware (e.g., an ESB or SOA) to access data from the underlying applications. This strategy introduces significant runtime performance challenges and creates what one bank’s chief architect referred to as a “lasagna architecture,” making DevOps impossible.

#serverless architecture #serverless functions #serverless benefits #mainframes #serverless api #serverless integration