Cognixia Podcast

Videos are often a stove-piped domain for developers. Streaming videos comes with a couple of challenges and technical issues. On the back end, there’s transcoding, trade-offs between file sizes, and computing when encoding as well as compression. For developers, making it possible to just playback videos on devices can bring unique challenges across platforms like Android, iOS, and web browsers. This also explains why there are so many video infrastructure providers and video player providers in the market.

Here come open-source video players like Video.js, jPlayer, MediaElement.js, Plyr, and Clapper. There are also some JavaScript-specific video players as well like the ReactPlayer, Videogular, Vue-core-video-player, and Stencil-video-player. And there are also some proprietary video players like JWPLayer, Bitmovin, Theo, Nexplayer, and castLabs. Every one of these players and categories comes with its pros and cons, and developers choose whatever they feel would best meet their requirements or whatever the organization feels is the best fit for their needs. But the biggest challenge that the developers face when working with videos is that these are all closed ecosystems. 

Video as a web medium has been shackling up developers and applications letting highly specialized video engineers who have kept all the understanding of the back-end considerations for handling the media content close to their hearts. But open-source is helping developers break these shackles and making things easier as well as efficient for everybody.

Check out Cognixia’s DevOps training and certification course to learn more. You can visit our website and connect with us there or on any of our social media handles, our team will reach out to you and guide you around this. This DevOps training is 100% live online and instructor-led, plus you get a dedicated PoC throughout your course duration, access to all the learning material via our LMS, and so much more.

we talk about a designation or job title, if you may, that is gaining huge popularity, and why your organization might be needing this individual. We are talking about a Data Quality Manager. This designation did not exist much earlier but as more and more organizations but as more and more organizations engage with cloud computing and realize the true potential by unlocking valuable insights, having a data quality manager is the need of the hour for countless enterprises.

Who is a Data Quality Manager?

A data quality manager is an individual “responsible for assessing, managing, and maintaining the data quality across an organization.” The data quality manager works with various teams to ensure that all the data that is being collected and processed in the organization is consistently accurate and meets the regulatory requirements & compliances. Data quality management is an increasingly critical aspect in every business and if it is not seen as critical just yet in your organization.

According to the US Bureau of Labor Statistics Occupational Outlook Handbook, it is one of the fastest-growing job titles in the US. The same trend seems to reflect across the globe as more and more enterprises join the data analysis bandwagon. And if the experts are to be believed, which they must since they are the experts, the job title of data quality managers is expected to see a whopping 36% growth in the coming decade.

Cognixia’s Cloud Computing with AWS online training will help you prepare thoroughly for the AWS certification exam. Our pool of experienced, certified trainers have years of experience in the field and are best placed to guide you with everything you need to ace the AWS online certification exam. So, check out the live online hands-on instructor-led AWS training and certification opportunities with Cognixia. 

An Agile Release Train (ART) is a network of Agile teams working to achieve the same objective. ARTs demand all teams implement, test, and deliver software or products. 

But what exactly is PI in Agile? A program increment (PI) is a timeframe in which an ART provides additional value in the form of functional software or systems. Sprints are to Scrum teams what iterations are to Agile teams. 

So, what does Agile PI planning mean? A program increment planning meeting is a face-to-face gathering of all teams involved in an Agile release train. The PI planning activity discusses the product strategy, chooses features, and determines team constraints. It enables everyone to collaborate to develop answers to possible bottlenecks before they occur. PI planning is critical in the Scaled Agile Framework (SAFe) to maintain the basic concepts of alignment, transparency, built-in quality, and program execution. 

Why is PI planning important? 

1. Maintains team trust
2. Improve UX advice
3. Increase cross-collaboration
4. Completes work quickly
5. Fast decision-making

Effective PI planning steps

1. Organizational preparation
2. Content readiness
3. Logistics planning & accessibility 

What takes place at a PI planning event? 

PI planning normally takes two days. It follows a standard plan with a presentation of the business setting and purpose, followed by team planning breakouts in which teams set their goals for the next program increment. 

Each team submits a draught of their plans at the end of the first day of planning. The draughts are examined for risks and dependencies, and the teams collaborate to identify solutions. 

The Leading SAFe certification training provides you with all of the skills and information you need to help the business align around shared goals and objectives. It will also help you enhance value generation and workflow from planning to delivery. Furthermore, the SAFe Agilist training & certification program will shed light on what makes organizations more customer-centric, as well as assist participants in learning how to execute SAFe alignment & planning events, such as PI planning. 

We talk about two terms that get used interchangeably but don’t mean the same thing in reality – Data migration and Data integration. Both processes play very different roles in the data management and preparation lifecycle. While there are a few similarities between the two terms, there are also some significant differences that set the two apart.

What is Data Migration? 

Data migration involves moving data from one location to another and would involve a change in the database, the application, or the storage. Data migration is usually undertaken when one needs to modernize the databases or the data warehouses need to be modernized or there is new data from new or old sources. There could be other reasons and causes too, but these are the most common ones. 

The most common tools used for carrying out data migration are: 

• CloverDX 
• Microsoft SQL Server Migration Assistant 
• IBM Informix 
• AWS Cloud Data Migration 
• Amazon DocumentDB 
• IBM Cloud Migration Services 
• Talend Open Studio 

A good data migration tool should be able to let users schedule jobs, organize workflows, and map and profile data, while also letting one carry out post-migration audits.

What is Data Integration? 

Data integration, as the name suggests involves integration or merging. Data integration involves merging data from different sources into one single database or a single data warehouse. Data integration plays an important role in helping organizations make better, more informed decisions while having access to better data quality and better data analysis.  Data integration is a commonly used process for building data warehouses, and improving reporting, querying, and analytics.  

The most common tools used for data integration include: Integrate.io 

• Azure Data Factory 
• Oracle Data Integrator 
• Dataddo 
• Informatica 
• Talend 

A good data integration tool would enable users to write data to target systems, services, and/or applications that one aims to use.

Data integration and data migration are two very large topics to cover in the short time that one podcast episode permits, but if you are an aspiring cloud professional, data professional, or even an aspiring DevOps professional, you will delve deeper into it as you train and prepare to be a skilled professional in your field of interest.

What is the Metaverse? 

Metaverse is a term used to describe a combination of virtual reality and mixed reality worlds that can be accessed through a browser or a headset which would let people have real-time interactions and experiences across distances. What’s even more interesting is that according to Bloomberg Business Analysis, the metaverse could potentially unlock nearly 800 billion dollar market opportunity! That is how huge the Metaverse is and is going to be. 

The demand for IT service management is soaring as high as ever, with experts opining that the demand is only set to go higher, showing no signs of slowing down. In today’s fast-paced world, enterprises need to have the right talent in the right place to manage the challenges the enterprise might encounter as it goes on to embrace the new technologies, besides also being prepared for whatever the future might throw its way. 

For the metaverse, just having skilled IT professionals is not enough. To ace the metaverse wave, there would be a need for individuals who can excel at IT functions while also being capable of working in cross-business units and cross-solution functions. This necessitates a wide range of experience and knowledge in the individual. 

Let us take a minute here to just speculate about the various possible avenues that an enterprise could explore, based on what we know about the metaverse today: 

1. Create virtual versions of one’s existing products and services to sell in the metaverse 
2. Create virtual shops to sell real-world products and services in the metaverse 
3. Create a complementary range of products and services to offer with the real-world products and services to generate new revenue streams 
4. Create virtual spaces, events in the metaverse, or metaverse-exclusive communities to generate engagement, etc. 

The emergence of the Metaverse-as-a-Service is evitable. To manage the services, one needs top-notch IT service management talent. The best ITSM talent would be ITIL certified, so if this is an area of interest for you, getting started on the ITIL certification career path is exactly what you need to do. The first step on the career path is the ITIL 4 Foundation certification, so you know what you need to do. 

The AWS Elastic Beanstalk is an easy-to-use service from Amazon Web Services for deploying and scaling the web applications & services that are developed using Java, .Net, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers like Apache, Nginx, Passenger, and IIS.

With AWS Elastic Beanstalk, all one needs to do is upload their code and then the Elastic Beanstalk would automatically step in to handle the complete deployment process – from capacity provisioning and load balancing to auto-scaling and application health monitoring.

AWS Elastic Beanstalk is undoubtedly the fastest way to get web applications up and running on AWS. If you are working with a PHP, Java, Python, Ruby, Node.js, .NET, Go, or Docker web application, then AWS Elastic Beanstalk should be a preferred option for you.

At its core, the AWS Elastic Beanstalk uses the core AWS services such as the Amazon Elastic Compute Cloud or the Amazon EC2, Amazon Elastic Container Service (ECS), AWS Auto Scaling, and Elastic Load Balancing (ELB) for supporting applications to scale them up for handling traffic from millions of users spread across geographies. 

we can understand why AWS cloud computing and AWS Elastic Beanstalk, in particular, have been extremely useful for some of the most known brands in the world like Zillow, Prezi, JellyButton Games, BMW, Crowd Chat, Samsung Business, etc., right? 

So, that’s the primer on AWS Elastic Beanstalk. Now you know what is AWS Elastic Beanstalk, what it does, what are its most important features, and what are its key benefits. You can bookmark or save this episode, as it would be very useful when you are preparing for an interview or an exam, and you can always revisit it to refresh the information.  

With that, we come to the end of this week’s episode of the Cognixia podcast. Thank you for tuning in, we hope you enjoyed listening to us today. Until next week then!

Hello everybody and welcome back to the Cognixia podcast!

The simplest answer to this question would be open source is anything that has a design that is publicly accessible, so people can modify and share it freely. The term ‘open source’ in the specific context of software came around to represent the unique approach that was being used to create software programs.

how does software become open-source? 

Well, simply put, open-source software is software whose source code can be inspected, modified, and enhanced by anybody. Source code is the technical side of software that is not meant for the users to see, it dictates how software functions and what it does. It is usually the programmers who have access and visibility to the source code of any software, it is they who are responsible to ensure that the software performs the functions it is intended for, in the way it is designed, and eliminates any bugs that might be encountered.

Some open-source software also offers a copy-left license for users. A copy-left license is the opposite of a copyright. A copyleft license requires that any user who modifies the open-source software in any way would also be required to release the source code for the same along with the program. Furthermore, some open-source licenses require that any user who alters and shares an open-source program with anybody would also be required to share the source code of the modified program without charging a licensing fee for it.  

One of the most popular open-source software in the world right now is Kubernetes. It has this huge popularity all over the world, and Kubernetes skills are highly valuable and sought-after in the market right now. So, if you are looking for the next big thing for your career and this is a route that appeals to you, reach out to us today to know more about our Docker and Kubernetes training. The training covers everything you need to know to become a Certified Kubernetes Application Developer. Now that should be a gigantic leap for your career, shouldn’t it? 

The Formula 1 championship is going on in full swing with some nail-biting edge-of-the-seat action race after race. While Max Verstappen, the defending champion from last year is still leading the pack, the fight for the title and the constructors’ championship is super tight and entertaining. 

For the uninitiated, Formula 1® racing began in 1950 and is the world’s most prestigious motor racing competition as well as the world’s most popular annual sporting series. Currently, the FIA Formula One World Championship TM runs from March to December spanning 23 races in 20 countries across four continents. In recent years, the F1 experience has transformed significantly – for the teams, drivers, crew, analysts and stewards, and even audiences – both remote and on-site.

One of the key technologies that have helped bring about major changes and advances to Formula 1 racing is cloud computing. If you follow the sport, you already know that F1 racing uses Amazon Web Services or AWS cloud computing platform from Amazon for its functioning. Cloud transformation has been one of the goals on the tech side for Formula 1 and to accelerate cloud transformation, Formula 1 is moving the large majority of its infrastructure from its on-premise data centers to AWS. Another focus area for Formula 1 has been the standardization of AWS’ machine learning and data analytics services. Together, Formula 1 and AWS are working hand-in-hand to enhance race strategies, data tracking systems, as well as digital broadcasts using a range of services from the AWS bundle, such as Amazon SageMaker, AWS Lambda, AWS serverless computing, AWS analytics, etc.

According to AWS, by sourcing historical data and using it to teach Amazon SageMaker complex machine learning algorithms, Formula 1 can predict race strategy outcomes with increasing accuracy for teams, cars, as well as drivers. 

We come to the end of this week’s episode of the Cognixia podcast. We hope you enjoyed listening to us. AWS is a powerful partner to have for any enterprise, no matter what industry they operate in. To power revolutions such as these, you need to have the right skills and expertise. 

Every week, we pick up a topic around one of the emerging digital technologies and discuss it in a little more depth, aiming to help our countless listeners from around the world set on a path to learn something new. From DevOps to Kubernetes, Cloud Computing to ITIL, we cover a wide range of topics on our podcast. We also take up topics suggested & requested by our audience in the podcast too, after you, our listeners are very, very important to us. 

And today, we are taking up a topic you requested – What are the career growth options for Certified Scrum Masters? We have the list of questions you had and we are going to do our best to answer your questions.

Cognixia is offering some very attractive offers on our live online instructor-led Certified Scrum Master training and certification course, and if you would like to get started hit us up in our DMs, drop us a line via email, call us, send us a WhatsApp, get in touch with us on the chat on our website, anywhere you prefer, and our career development team will reach out to you and guide you ahead. 

With that, we come to the end of this week’s episode of the Cognixia podcast. We hope you enjoyed listening to us, and we are super thankful that you took time out to listen to us. 

A lot of organizations these days are moving to creating and working with cloud-native applications. If your organization is one of them, then you are most likely working with Kubernetes. Kubernetes, after all, is the de facto standard for building containerized applications around the world. In fact, according to a recent CNCF report, 96% of organizations are either already using Kubernetes or evaluating the prospect of using Kubernetes to build and manage their applications. Kubernetes has over 5.6 million users spread all over the globe, which when you look objectively, you realize represents 31% of back-end developers. 31% may not sound too huge, but remember it is 31% of developers using one single platform – that is huge. The remaining 69% is divided between so many different platforms. Now, that is a significant market share. Moreover, this figure grows year-over-year, pushing up the amount of data that Kubernetes generates as well, in turn helping improve the platform.

Kubernetes security mistakes

• Default Configurations
• Multiple Admins
• Unrestricted Access
• Assuming Isolation
• Vulnerable Imported YAMLs
• Keeping Sensitive Information in ConfigMaps
• Skipping Regular Scans

All these things are such simple, easy things to do, which is also probably why it gets skipped maybe? But not everything should have complex solutions and elaborate mechanisms. Sometimes, simple does the trick just fine, isn’t it? So is Kubernetes security. Ensure you don’t make these mistakes and you are already on your way to enhancing the security of your clusters. 

With that, we come to the end of this week’s episode of the Cognixia podcast. We hope you enjoyed listening to us today.