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Category: DevOps Toolbox

  • Is DevOps Dead? I Don’t Think So!

    Is DevOps Dead? I Don’t Think So!

    A lesson I have learned over my 30 years in the tech world is that technology and frameworks never truly die—they evolve and they grow. When I read a recent article proclaiming, “DevOps is dead!” and that we should all be embracing platform engineering, I had a chuckle.

    No, DevOps isn’t dead, and rumors of its demise have been greatly exaggerated. In fact, DevOps is more alive than ever and the truth is, it is going wherever software goes. When I went back and read the article again, I realized that it appeared on a website owned by a venture capital (VC) company and that the article itself was a sponsored post from a company promoting platform engineering. That’s a good reminder to take that article with a grain of salt. I also realized that the headline was meant to be controversial, if not downright clickbait.

    That said, I feel that the article demands a rebuttal. To be fair to the author of that article, I believe the point they were trying to make is that there is a major issue with DevOps—we have put too much on the developers’ plates, and that one more straw may break the proverbial camel’s back. Certainly, this is a valid point. We need to balance what we ask our developers to do in relation to the rest of the team. We see this with security in DevSecOps; we see it with testing and we certainly see it with operations. In fact, in many ways, the rise of the SRE has better defined the ops role thereby lessening the load on developers.

    I have no doubt that platform engineering will also lessen the load on developers and better define the role of a platform engineer. However, SRE did not kill DevOps and neither will platform engineering. At one time, it was very fashionable to talk about a full-stack developer. Today, many people think that the so-called full-stack developer is a myth and that role is not really what is needed in most organizations. The job of a developer, though, is never and will never be easy, even with the advent of AI/ML-generated code. The developer always has many plates spinning in the air at any given time. And to that point, the high levels of compensation they are paid is not unwarranted nor is it unearned.

    I look forward to seeing how the platform engineer role and platform engineering as a practice evolve and how they interact with SREs and DevOps teams as well as developers, security testers, etc., but I am fairly certain that no matter how the role evolves, it will not be the death knell for DevOps.

    As we proclaimed for our upcoming DevOps Experience event on November 16, 2022, it is going where no DevOps has gone before. We see DevOps-of-things; we see DevOps at the edge. We see distributed DevOps, too. DevOps has taken root in our software development life cycle and beyond. While the frameworks may change and evolve, DevOps changes and evolves with it.

    If you say DevOps is dead, I disagree. I say long live DevOps!

  • Cosmonic Previews Deployment Platform for Distributed Wasm Apps

    Cosmonic Previews Deployment Platform for Distributed Wasm Apps

    Cosmonic has made available a preview of a platform for deploying applications built using the portable WebAssembly (Wasm) binary format that enables applications to be deployed on any platform.

    Cosmonic CEO Liam Randall said the company is providing early access to the Cosmonic Platform Developer Preview platform to enable developers to experiment with a new type of software artifact that will be used to build a new class of cloud-native applications.

    The Cosmonic Platform Developer Preview platform is based on wasmCloud, an open source application runtime that hosts components written as Wasm modules that can then be loosely connected to build applications. Originally developed under the auspices of the World Wide Web Consortium for building browser applications, Wasm is a portable binary instruction format for building software that describes a memory-safe, sandboxed execution environment.

    That approach replaces the current predominant method for building software that relies on the aggregation of software components that tend to lack distinct boundaries. It’s that lack of distinct boundaries that enables malware to flow so easily from one software module to another. The wasmCloud runtime, originally developed by Cosmonic, provides a platform for deploying distributed Wasm applications and is now being advanced under the auspices of the Cloud Native Computing Foundation (CNCF).

    Prior to Wasm, Randall noted, every format for building applications led to the creation of ‘walled gardens’ that resulted in developers being locked into a platform. Wasm is the first software artifact that enables applications to run on an platform, including Linux and Windows, without any modification required, said Randall.

    It may be some time before Wasm becomes the preferred artifact for building applications, but it’s clear the walls that have separated one IT platform from another are about to crumble. Once applications become much more portable, the longstanding goal of writing an application once and then deploying it anywhere may finally be achieved. Just as importantly, those applications will run in a memory-safe sandbox that is more secure than what can be enabled in legacy IT platforms. In fact, as more organizations review the security of their software supply chains, they may decide to accelerate their embrace of Wasm to build more secure applications.

    Naturally, the transition to Wasm will have major implications for DevOps teams, as it represents an opportunity to streamline deployment processes across multiple platforms. In effect, the total cost of application development and deployment would decline as processes spanning multiple platforms become more automated using platforms such as wasmCloud. Ultimately, much of the infrastructure complexity that developers need to navigate today would be eliminated, noted Randall.

    It’s not clear just yet to what degree Wasm will drive a transition to another era of computing, but the potential to change almost every aspect of IT is on the horizon. Ultimately, the issue will be decided by how quickly developers are willing to embrace yet another software artifact for building and deploying applications. What is clear is that the number of platforms that will make it possible to experiment with Wasm are starting to multiply.

  • Atlassian Aims to Improve Collaboration With DevOps Teams

    Atlassian Aims to Improve Collaboration With DevOps Teams

    At an Atlassian Presents: WorkLife event today, Atlassian furthered its efforts to integrate the tools technology and business professionals use to manage processes.

    Erika Trautman, general manager and vice president of product for Work Management for All at Atlassian, said that as organizations increasingly rely on digital processes to engage customers, partners and employees, the need to facilitate collaboration across a diverse set of knowledge workers is becoming more pressing.

    As part of that effort, Atlassian is now making generally available a Smart Links capability within the Atlassian platform. Smart Links can be used to integrate both Atlassian applications such as Trello and Jira as well as third-party applications. That capability is now critical because there has been a Cambrian explosion of adoption of software-as-a-service (SaaS) applications that all need to be integrated into a common set of workflows, noted Trautman. Otherwise, each SaaS application environment becomes yet another walled garden that prevents any meaningful collaboration, she added.

    In addition, the company announced that Atlas, a directory that tracks projects and simplifies communications across teams using disparate applications, will become generally available next month. DevOps teams, for example, will be able to synchronize Jira events with projects being tracked via the Atlas platform.

    Atlassian has also streamlined the tools it provides to reduce the number of steps required to administer its applications and onboard new users.

    Finally, the company also has launched Atlassian Together, a single subscription offering through which organizations can license its Trello, Confluence, Atlas and Jira Work Management applications delivered via the cloud. An enterprise organization with more than 5,000 users can now, for example, license those applications for $11 per user.

    Atlassian is making a concerted effort to enable organizations to more easily collaborate at a time when they have become more dependent on software than ever, noted Trautman. In many cases, businesses are now trying to adjust to the rapid rate at which software is being delivered thanks to the adoption of DevOps best practices, she noted.

    As such, there is a greater need for integration between tools such as Jira that development teams use to manage projects and a wide range of tools used by knowledge workers residing in various departments, said Trautman. In effect, Atlassian is trying to enable organizations to reduce the “collaboration tax” they incur as workflows span multiple silos, she added.

    In fact, in many cases, organizations are struggling to keep pace with how agile software development teams have become. The irony is that not too long ago business executives routinely complained about how long it took IT organizations to adjust as business conditions changed. Now, many businesses are rolling out additional digital capabilities via software updates that can be made multiple times a month.

    The rate at which organizations will collaborate across departments will naturally vary, but the days when each department was a fiefdom unto itself are coming to an end. The challenge and opportunity may now be determining how modern organizations should be structured once it becomes easier to collaborate.

  • GitBOM Tool Automatically Identifies Software Artifact Components

    GitBOM Tool Automatically Identifies Software Artifact Components

    An open source GitBOM tool, discussed at the Open Source Summit Europe conference this week, can automatically track every source code file incorporated into each built artifact.

    Nell Shamrell-Harrington, a principal software engineer for Microsoft, told conference attendees via a video link that the GitBOM tool, based on a compact Artifact Dependency Graph (ADG) technology, can verify which artifacts are being used across any programming languages, environments and packaging formats without any effort made by developers. To do this, GitBOM repurposes the directed acyclic graph made available in Git version control software.

    All that is required is for GitBOM identifier—a unique, content-addressable reference—to be inserted into the artifact at build time. That identifier then creates a Gitoid that can be consumed by ADG, Shamrell-Harrington said. Each Gitoid then views an artifact as a binary large object (BLOB) through which of all the components that went into it, including source files, dependencies and object files can be identified.

    Support is also included for the Software Package Data Exchange 2.3 format for sharing software bill of material (SBOM) information discovered by GitBOM.

    GitBOM can also detect potential vulnerabilities at runtime, regardless of the depth, in every software artifact that might be impacted to make it simpler for IT teams to remediate issues. That approach makes it simpler to find, for example, every instance of the Log4j vulnerability that might exist in an application environment. GitBOM only includes the minimum information required to create a fingerprint to enable efficient runtime scanning for a known-vulnerable artifact.

    The goal is not to replace SBOM tools but rather to make it easier for them to collect data about artifacts in the most frictionless way possible for developers, Shamrell-Harrington said. GitBOM enables any metadata to be linked to a specific set of corresponding software artifacts to make it easier to discover exactly how they were constructed. Artifact IDs can then be extended to produce GitBOM documents that can be consumed by other build tools.

    GitBOM is being shared at a time when the focus on securing software supply chains has never been higher. In the wake of the Log4j vulnerability disclosure, the Biden administration is requiring every federal agency to construct SBOMs to enable developers to find instances of vulnerable software components. Most large enterprise organizations are generally following suit.

    However, collecting SBOMs is only the first part of a bigger challenge. Organizations will then need to acquire tools to analyze SBOMs and provide feedback to application developers. In effect, eventually, organizations will be able to accept or reject software based on the components being used to create it. Armed with those insights, developers then have the option to upgrade software components to bring applications in line with any policy an organization defines.

    It may be a while before SBOMs proliferate across IT organizations, but the immediate issue at hand is simply finding the least-intrusive way possible to create them.

  • Heat Cooks Twitter DC | AI Will Kill All Humans | Patreon Layoffs, CSAM Claim

    Heat Cooks Twitter DC | AI Will Kill All Humans | Patreon Layoffs, CSAM Claim

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: Twitter is in a “non-redundant state” thanks to a hot summer, AI is likely to eliminate us, and Patreon fires 80 staff amid nasty allegations (TW: Child safety). (more…)

  • Why Object Storage is Best for Cloud-Native Apps

    Why Object Storage is Best for Cloud-Native Apps

    A crucial question that plagues cloud application developers is, “What kind of storage should we use for our app?” Unlike other choices like compute runtimes—Lambda/serverless, containers or virtual machines—data storage choice is highly sticky and makes future application improvements and migrations much harder.

    All three hyperscalers have storage services that present block, file and object-based data access. Each of these storage services are mature and offer different advantages, making the choice even harder. Though block and file-based storage has existed for multiple decades, in this article we will illustrate some key differentiators that should make object storage your default storage choice for new applications written in the cloud.

    Storage Type/Cloud Provider Google Cloud Amazon Web Services Microsoft Azure
    Block Persistent Disk Elastic Block Storage Disk Storage
    File Filestore Elastic File System Files
    Object Cloud Storage Simple Storage Service (S3) Blob Storage

    Easy Scaling

    Scalability is an important requirement for most cloud applications. It is expected that horizontally increasing the amount of compute power available to an application increases its ability to process requests, users, etc. to handle peak workload. Most cloud providers also make it easy to scale up compute resources to meet peak demand. As compute resources are scaled,
    block and file-based storage need to be mounted/attached to the new compute instances.

    However, a cursory search will show that these operations can fail or even hang indefinitely for multiple reasons. They also are often hard to debug. The other issue with using file and block storage solutions is that teardown of the compute instance may fail or hang for the same reasons. These issues immediately negate the application’s ability to scale freely as required. This is, however, not an issue with object-based storage, since there is no mount step involved. Your object storage is instantly accessible to the newly-created compute instances.

    Sharing and Consistency

    Data sharing and consistency are where object storage really shines compared to other storage types. In both block and file-based data storage, one instance of an application can end up seeing partial data written by another instance. Application developers end up having to use persistent locks to get around this issue. However, such schemes come with their own sets of challenges: Performance, correctness, etc. Persistent locks end up making an application severely complicated; I have seen even experienced storage engineers make mistakes while using persistent locks. Object storage avoids this problem by not exposing partially-written objects or objects actively being written. Also, note that objects are typically immutable, so once written they can only be overwritten as a whole and not in parts. This means updating data requires expensive read-modify-write cycles. However, most cloud providers help avoid these additional reads via special APIs that can create an object from portions of an existing object like GCS compose, Azure’s put page blob and AWS multipart upload.

    Data Protection

    Errors are bound to happen during application development or rollouts. These errors can end up impacting critical data and potentially disrupt normal application operations. This is why it is essential to have some sort of backup/snapshots configured on the storage that you use.

    Though most storage services have some form of backup/snapshot mechanism, most don’t make it very easy to configure or restore from them (that is, both require multiple steps or the involvement of a cloud administrator). All cloud object services support native data/object versioning capabilities which are extremely easy to enable. So, basically anytime an application updates and/or deletes, the object storage service preserves the older copy of the data. In case an older copy of the data needs to be restored, you can just read the old version and write it as the new object. The careful reader might see that if an application writes/deletes data often, there may be a lot of older versions of the data left behind. One might think these would be hard to identify and remove when not needed. However, all cloud providers support policy-based data life cycle management (see next section) so you can set up policies to delete unnecessary copies. Note that object versioning also provides an excellent defense against ransomware attacks.

    Policy-Based Data Life Cycle Management

    The amount of data being generated by applications is only going to keep increasing with each passing year. This is the reason all the cloud providers support policy-based data life cycle management for their object storage services. Even if you don’t expect to use more than a few gigabytes of data, policy-based life cycle management can help you keep your storage costs in
    check and can help reduce your code complexity around handling application crashes. Policy-based life cycle management especially comes in handy when you or your cloud admin decide to enable features like object versioning and object holds for data protection and compliance reasons. These policies are very simple to set up and can easily be customized to the needs of
    the individual organizations/applications/developers requirements.

    Conclusion

    As one can see from the above, object storage services have been built to enable the development of simple and scalable applications. So, if you are writing a new application from scratch, choose object-based storage to keep your applications simple and easy to maintain.

  • How’s Facebook Work? They Don’t Know! | Cali. Pay Law | NASA RISC-V Launch

    How’s Facebook Work? They Don’t Know! | Cali. Pay Law | NASA RISC-V Launch

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: Facebook engineers admit they’ve no idea what Meta stores (or where), California requires job ads quote salaries, and RISC-V will power future NASA spacecraft. (more…)

  • Five Great DevOps Job Opportunities

    Five Great DevOps Job Opportunities

    staging-devopsy.kinsta.cloud is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience.

    Our goal in these challenging economic times is to make it easier for DevOps professionals to advance their careers.

    Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role it tends to create an opportunity for others.

    The five job postings shared this week are selected based on the company looking to hire, the vertical industry segment and naturally, the pay scale being offered.

    We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration:

    Monster.com

    Google
    Mountain View, CA
    Software engineer
    $167,149

    ZipRecruiter

    Deloitte
    Boca Raton, FL
    DevSecOps Engineering Lead
    $145,000 to $241,000

    Dice.com

    gWorks
    Omaha, NE
    DevOps Manager
    $150,000 to $180,000

    SimplyHired

    Cubic Corp
    Ashburn, VA
    DevOps Engineer
    $87,000 – $120,000

    Indeed.com

    Blue Cross and Blue Shield of North Carolina
    Remote
    DevOps Engineer
    $94,600 to $120,000

  • 8 Web Development Trends to Follow

    8 Web Development Trends to Follow

    Since the inception of the internet in 1983, many web development tools have been introduced to simplify complex processes that would otherwise take months to finish and cost companies a great deal of money.

    According to internet live statistics, over 1.5 billion websites and more than five billion active daily internet users visit multiple sites around the clock. That number is expected to grow as businesses (and website owners) offer personalized experiences to users, make their websites more user-friendly and introduce navigation that visitors prefer.

    Website development has changed and is still evolving quickly. As a website owner, it’s imperative to watch out for new trends that are being introduced in the industry. Neglecting to adopt current trends might affect your website’s functionality, user experience and network. You risk falling behind your rivals and losing visitors to websites with superior user experiences and network scalability.

    The best way to maintain competitiveness is to make sure your website is consistently updated, fresh and that it follows current trends. Here are eight to watch out for.

    Progressive Web Apps (PWAs)

    PWAs speed up website loading times and enable offline functionality in multiple applications. PWAs have already been used by businesses like Starbucks, Uber, Pinterest and Twitter to improve user experience.

    It is crucial to transform web apps into PWAs, given the increased shift toward smartphones and tablets for various online functions. PWAs offer a superior user experience, increased engagement and conversion rates and lower development costs.

    Motion UI

    Motion UI is used to create fully responsive site designs. Motion UI enables developers to produce motion in a native app environment, and with a built-in motion, it can be used for any design project. A website needs to be appealing and offer the information a user seeks. Your target audience is more likely to notice websites that look good.

    Motion UI is easy to implement as the developer doesn’t need to be an expert in JavaScript. It also assists people in finding the precise information they need and improves the effectiveness of site design.

    Privacy Center

    Privacy is a core component of ensuring your customers have a safe user experience when navigating your website. Privacy Center is an intuitive way of cataloging your privacy policy and notices, terms of service, cookie policy, refund policy, data subject requests and more on a single page.

    Privacy Center enables users to obtain information regarding a company’s data activities from a single source without having to navigate multiple pages and scroll through endless paragraphs to identify the information they need.

    Privacy Center is a growing trend for web developers as data privacy laws impose strict obligations on companies, necessitating the need to implement intuitive privacy centers that address all concerns of users.

    Dark Mode

    Although dark mode was first introduced in 2016, it wasn’t until 2020 and 2021 that it gained popularity as a standard practice in web building. Essentially, dark mode refers to a site’s color scheme. In other words, the website has a darker background with light-colored text and other UI elements.

    Dark mode typically lessens eye strain, especially in dim lighting. When dark mode is used instead of light mode on a mobile device, it uses less battery. People with light sensitivity or vision impairments have also found it to be beneficial.

    Accelerated Mobile Pages (AMP)

    Accelerated mobile pages, better known as AMP, is an initiative that resulted from Google and Twitter working together to provide quicker mobile pages. Pages that are AMP-optimized load quicker, thus ranking better than pages that take more time to load. Compared to non-AMP pages, which may take up to 22 seconds to load, AMP pages do so in roughly two seconds.

    In web development, AMP is a simple search engine optimization method that reduces bounce rates, adapts to any browser and doesn’t need sitemaps to be discovered by search engines.

    AI Chatbots

    AI chatbots are intuitive, enabling businesses to operate more quickly over voice or text chats while enhancing the consumer experience. The technology provides a more human-like experience to visitors with the help of machine learning (ML) and Natural Language Processing (NLP) that understand the user’s intent and responds accordingly. Many well-known enterprises already use AI chatbots to communicate with their clients.

    Industry experts predict that AI chatbots or self-learning bots are the way of the future, and organizations can save money by using them instead of human customer support representatives, especially for simple queries and FAQs. AI chatbots are a long-term investment as they process orders, respond to users’ questions, connect them with the relevant department and quickly resolve any complaints, resulting in an improved user experience.

    Voice Search Optimization

    The practice of optimizing web pages to show up in voice searches is known as voice search optimization. Voice assistants and the internet of things (IoT) have helped voice recognition devices become increasingly widespread.

    Google launched voice search in 2012. Since then, the market for voice search tools—such as virtual assistants like Alexa and Siri—has seen exceptional growth. The trend is only expected to grow since virtual assistants are not currently being integrated into many internet-enabled devices.

    By 2023, eight billion digital voice assistants are predicted to be in use worldwide. Due to this enormous expansion, voice search optimization will become indispensable among the newest web development technologies.

    Push Notifications

    When users browse, push notifications—clickable pop-ups—appear before them. Companies employ this technology as a speedy route for communicating information, such as promotions and announcements. Push notifications can be integrated on any device, including laptops, cellphones and tablets.

    Push notifications are an effective tool that significantly improves users’ experience, drives visitors to your website, improves click rates, aids in grabbing users’ attention and improves conversion rates. Web applications from internet behemoths like Facebook and Google already use the technology.

    Conclusion

    Though it has been around for decades, web development continues to innovate and improve as organizations strive to influence the future delivery of web experiences. To give your users the best experience, raise the search rating of your website and reach new heights, it is crucial to keep up with these trends.

  • Where DataOps and Opportunities Converge

    Where DataOps and Opportunities Converge

    In today’s data age, getting data analytics right is more essential than ever. A robust data analytics implementation enables businesses to hit key performance metrics, build data and AI-driven customer experiences (think ‘personalize my feed’) and capture operational issues before they spiral out of control. The list of competitive advantages goes on, but the bottom line is that many organizations successfully compete based on how effectively their data-driven insights inform their decision-making.

    Unfortunately, implementing an effective data analytics platform is challenging due to orchestration (DAG alert!), modeling (more DAGs!), cost control (Who left this instance running all weekend?!) and fast-moving data landscapes (data mesh, data fabric, data lakehouses …). Enter DataOps. Recognizing modern data challenges, organizations are adopting DataOps to help them handle enterprise-level datasets, improve data quality, build more trust in their data and exercise greater control over their data storage processes.

    What is DataOps?

    DataOps is an integrated and agile process-oriented methodology that helps businesses develop and deliver effective analytics deployments. It aims to improve the management of data throughout the organization. 

    While there are multiple definitions of DataOps, below are common attributes that encompass the concept while going beyond data engineering. Here’s how we define it:

    We broadly define DataOps as a culmination of processes (e.g., data ingestion), practices (e.g., automation of data processes), frameworks (e.g., enabling technologies like AI) and technologies (e.g., a data pipeline tool) that help organizations to plan, build and manage distributed and complex data architectures. DataOps includes management, communication, integration and development of data analytics solutions, such as dashboards, reports, machine learning models and self-service analytics.

    Why DataOps?

    DataOps is attractive because it eliminates the silos between data, software development and DevOps teams. The very promise of DataOps encourages line-of-business stakeholders to coordinate with data analysts, data scientists and data engineers. Via traditional agile and DevOps methodologies, DataOps ensures that data management aligns with business goals. Consider an organization endeavoring to increase the conversion rate of their sales leads. In this example, DataOps can make a difference by creating an infrastructure that provides real-time insights to the marketing team, which can help the team to convert more leads. Additionally, an Agile methodology can be employed for data governance, where you can use iterative development to develop a data warehouse. Lastly, it can help data science teams use continuous integration and continuous delivery (CI/CD) to build environments for the analysis and deployment of models.

    DataOps can Handle High Data Volume and Flexibility

    The amount of data created today is mind-boggling and will only increase. It is reported that 79 zettabytes of data were generated in 2021 and that number is estimated to reach 180 zettabytes by 2025. In addition to the increasing volume of data, organizations today need to be able to process it in a wide range of formats (e.g., graphs, tables, images) and with varying frequencies. For example, some reports might be required daily, while others are needed weekly, monthly or on demand. DataOps can handle these different types of data and tackle varying big data challenges. Add in the internet of things (IoT), such as wearable health monitors, connected appliances and smart home security systems, and that introduces another variable for organizations that also have to tackle the complexities of heterogeneous data as well. 

    OK, so, how can we make this a reality? First, to manage the incoming data from different sources, DataOps can use data analytics pipelines to consolidate data into a data warehouse or any other storage medium and perform complex data transformations to provide analytics via graphs and charts.

    Second, DataOps can use statistical process control (SPC)—a lean manufacturing method—to improve data quality. This includes testing data coming from data pipelines, verifying its status as valid and complete, and meeting the defined statistical limits. This enforces the continuous testing of data from sources to users by running tests to monitor inputs and outputs and ensure business logic remains consistent. In case something goes wrong, SPC notifies data teams with automated alerts. This saves them time as they don’t have to manually check data throughout the data life cycle.

    DataOps can Automate Repetitive and Menial Tasks

    Around 18% of a data engineer’s time is spent on troubleshooting. DataOps enables automation to help data professionals save time and focus on more valuable high-priority tasks.

    Consider one of the most common tasks in the data management life cycle: Data cleaning. Some data professionals have to manually modify and remove data that is incomplete, duplicate, incorrect or flawed in any number of ways. This process is repetitive and doesn’t require any critical thinking. You can automate it by either setting customized scripts or installing a built-in data cleaning software tool.

    Additional processes that can be automated via DataOps include:

    • Simplifying data maintenance tasks like tuning a data warehouse
    • Streamlining data preparation tasks with a tool like KNIME
    • Improving data validation to identify flags and typos, such as types and range

    Building Your Own DataOps Architecture 

    To develop your own DataOps architecture, you need a reliable set of tools that can help you improve your data flows, especially when it comes to crucial aspects of DataOps, like data ingestion, data pipelines, data integration and the use of AI in analytics. There are a number of companies that provide a DataOps platform for real-time data integration and streaming that ensures the continuous flow of data with intelligent data pipelines that span public and private clouds. Looking to increase the likelihood of success of data and analytics initiatives? Take a closer look at DataOps and harness the power of your data.