Timspark Celebrates Top 10 Ranking in Software Testing Help’s List of Best DevOps Service Providers

Timspark Celebrates Top 10 Ranking in Software Testing Help’s List of Best DevOps Service Providers
We’re delighted to announce our inclusion in the prestigious list of ‘Top 10 Best DevOps Service Provider Companies and Consulting Firms’ by Software Testing Help, a trusted authority in the software industry.

Earning 7th place in this esteemed ranking, Timspark has solidified its position as a pioneer in cost-effective software development and innovative DevOps solutions. Our groundbreaking approach featuring pre-built ‘Core Teams’ has garnered recognition for its relevance in aligning development and operations for businesses of all sizes and types.

‘We are thrilled to be recognized as the 7th top DevOps service provider by Software Testing Help,’ said Mikhail Shayunou, Head of DevOps at Timspark. ‘We promise to stay committed to delivering innovative and industry-changing software solutions that matter. The ‘Core Teams’ model, combined with our extensive expertise and dedication to quality, sets us and our customers apart in the industry. Thanks for your trust!”

We promise to stay committed to delivering innovative and industry-changing software solutions that matter.

Timspark Talks with CTO Alex Velesnitski – The Intersection of Innovation and Technology

Timspark Talks with CTO Alex Velesnitski – The Intersection of Innovation and Technology

In this video interview, our CTO, Alex Velesnitski, shares his insights on technology, innovation, and the evolving landscape of IT services. For those who prefer a summarized read, we’ve also provided a concise version of the key points discussed.

Overview:

00:00 – 00:55 – Joining Timspark

Alex was drawn to Timspark’s commitment to innovation and its culture of continuous learning. He saw the opportunity to contribute to a team that values technological advancement and service excellence.

00:55 – 01:40 – Technology Strategy and Business Goals

Aligning technology with business objectives is crucial, especially in IT services. Alex emphasizes the importance of understanding business goals and employing Agile, Kanban, and Scrum methodologies for effective communication and project management.

01:40 – 01:58 – Embracing AI and DevOps

Timspark is at the forefront of integrating AI into its services. Alex believes in leveraging cutting-edge technologies to drive the IT field forward, underscoring the role of AI in Healthcare, NLP, Cybersecurity, Autonomous vehicles, and Fintech.

01:58 – 02:18 – Building Effective Teams

The key to successful technology implementation lies in assembling talented teams. Alex discusses the importance of hiring the right people and fostering a culture of innovation and technological excellence.

02:18 – 02:51 – Iterative Development and KPIs

He advocates for an iterative approach to development, focusing on delivering shippable products at every phase. Establishing clear KPIs and metrics is vital for maintaining high standards in software development.

02:51 – 03:12 – Risk Assessment

Risk analysis is integral to project management. Alex highlights the need for thorough risk assessments to weigh the pros and cons of critical feature development.

03:12 – 05:34 – AI Trends in Various Sectors

The conversation takes an exciting turn into the realm of Artificial Intelligence (AI), where Alex outlines significant trends and predictions in various sectors like healthcare, cybersecurity, and FinTech.

Instead of Conclusion

Whether you’re here to watch the full interview or for a quick overview, we hope you find Alex’s insights enlightening and inspiring. Stay connected with the Timspark blog for more thought-provoking discussions and updates from the tech world!

Timspark’s Journey Through Europe’s IT Events in November 2023

Timspark’s Journey Through Europe’s IT Events in November 2023

This November, Timspark navigated through Europe’s most innovative IT events in November 2023. Dive into our experiences at distinguished and vibrant MEDICA, Websummit, BIM World Munich, and Slush — profound insights as well as a sneak peek into our plans for 2024 included!

1. MEDICA – Leading International Trade Fair

Timspark made a significant presence at MEDICA 2023 in Düsseldorf, Germany. Samuel Krendel, Head of Partnerships, and Alex Velesnitski, our Chief Technology Officer, led our team. We observed a strong demand for telehealth solutions and IoT wearable sensors, which reflects the current technology trends in healthcare.

The MEDICA 2023 event in Düsseldorf was a showcase of significant advancements and diverse innovations in the healthcare sector. This leading B2B trade fair attracted over 5,300 exhibitors from nearly 70 countries. The exhibitors showcased new products and services across a range of fields, including medical consumables, medical imaging, laboratory technology, diagnostics, health IT, mobile health, and physiotherapy/orthopedic technology. Here are some of the many highlights.

– Fraunhofer IDMT’s radar technology: This novel method for collecting and analyzing radar data from the human body has applications in both medicine and automotive fields. It enables non-contact vital data collection, enhancing the potential for monitoring vital signs like respiration and heartbeat pulse.

– Beurer’s blood pressure monitors with AFib function: These monitors, equipped with an integrated AFib function, aid in the early detection of atrial fibrillation, contributing significantly to stroke prevention.

– Securer’s high-tech respiratory mask: Nominated for the German Medical Award, this mask features integrated UVC LED light disinfection, offering comprehensive protection against viruses and bacteria.

– Austco global and Vayyar care partnership: This collaboration introduces touchless, camera-free fall detection and activity monitoring, tailoring solutions for independent living, aged care, remote patient monitoring, and dementia/memory care.

– HopeCare and Microsoft’s telemedicine collaboration: Pivotal in Austrian healthcare, this partnership focuses on health apps, virtual doctor consultations, and e-prescriptions, demonstrating a commitment to early risk detection and secure data transmission.

The event also showcased innovative products like the “SmartID Demonstrator” for recognizing counterfeit medicines using smartphones, the “Icebein” cryotherapy system, Beurer’s emergency bracelet “EC 70 SafePlus” with fall detection, and robotics solutions by KUKA for diagnostics, therapy, and rehabilitation. Additionally, a “pocket-sized electron microscope” from Meiluft was on display for detecting tiny particles in air and liquids, highlighting the potential for monitoring infectious diseases and drinking water quality.

These innovations represent just a fraction of the groundbreaking developments and collaborations, demonstrating the significance of MEDICA 2023 in driving forward the healthcare industry.

MEDICA

2. Websummit in Lisbon

Web Summit 2023 in Lisbon was a remarkable event featuring a wide array of discussions, innovations, and insights from various sectors. The event’s focus was on critical conversations about technology, society, and innovation, with a significant emphasis on AI’s role and impact across different industries.

The grand scale

This year’s Web Summit 2023 was a showcase of technological grandeur, with five exhibition halls hosting over 2,000 startups. A vibrant and lively event, it drew more than 70,000 attendees, each brimming with innovative ideas and energy.

A standout talk addressed the nostalgia for the early, open internet, emphasizing the need for a democratic web that fosters broad contributions, especially in the current economic climate. This perspective highlighted the importance of maintaining openness in technological and human aspects of the internet.

Another highlight was innovative booths for companies and countries that could stand out with independent keynotes and offer a lasting immersive experience for attendees. For instance, Shell presented insightful discussions on digital innovation in their global organization. 

The event also showcased the vibrant Austrian tech scene. The independent booth was a notable attraction, with engaging setups like a Red Bull Formula 1 car and a ski lift gondola for meetings, drawing attention to Austria’s business ecosystem. 

The Product Stage was particularly engaging. It offered insights into the role of product managers in the generative AI revolution, AI-supported apps, and market research into Gen Z for building next-generation digital products.

Networking and insights

Our team engaged in about 40 intensive meetings, primarily with companies in AI, Fintech, IoT, Cybersecurity, and Data. Though we couldn’t meet everyone, the interactions we had were rich in insights.

Notable connections

The connections made were invaluable, focusing on enhancing and strengthening our business networks. We had enlightening exchanges with several companies, discussing potential cooperations and shared visions.

AI development

The overriding theme of the event was Artificial Intelligence (AI), with discussions spanning how AI is reshaping various sectors, from healthcare to dentistry, and its broader societal impacts. These conversations ranged from real-world applications to more opinion-based discussions.

Finnish startups showcased their unique solutions, with a focus on psychological sustainability, legal online platforms, sustainable energy storage solutions, personalized video funnels, AI and machine learning-powered enterprise tools, and remote monitoring of production equipment.

The event also examined the influence of AI on startups and the tech industry and debated its future impact and the challenges it poses. This included discussions on AI regulation and its role in business growth, education, and ethical considerations.

In conclusion

Overall, Web Summit 2023 was an inspirational gathering, a melting pot of innovative minds and forward-thinking ideas. We left energized, ready to explore new opportunities that lie ahead.

Websummit

3. BIM World MUNICH

BIM World Munich 2023 was a pivotal event that highlighted the significant advancements and innovations in digital construction planning and execution. It brought together participants from over 68 countries, solidifying its status as a leading international trendsetter for the construction, real estate, and facility management industries.

The 2023 edition of BIM World Munich attracted more than 7,800 visitors and over 200 exhibitors and featured over 250 international expert presentations. A key focus of the event was BIM4NetZero, which emphasized resource-saving construction and operation, as well as sustainable building material cycles. This theme resonated strongly with experts and underscored the growing importance of ecological responsibility in the construction industry.

Another highlight was the BIM Town Innovation Area, which served as a hub for innovative products and services. This area featured the BIM Town start-ups and the 40 finalists of the 6th Smart Building Smart Construction Innovation World Cup®. The event culminated with Sodex Innovations from Austria being named the winner, demonstrating the dynamic and competitive nature of the industry.

In summary, BIM World Munich 2023 was a landmark event that served as an important platform for discussing and promoting digital innovation in the construction industry, with a strong focus on sustainability and ecological responsibility.

BIM Munich

4. Slush 2023 in Helsinki

Slush 2023 in Helsinki stood out as a significant event focusing on startups, venture capital, and the impact of Artificial Intelligence (AI) in the tech industry. The conference, described as “the most founder-focused event on earth,” brought together founders, entrepreneurs, investors, and other key players from the global startup ecosystem.

One of the main highlights of Slush 2023 was its emphasis on AI. Discussions and presentations centered on the role, impact, and application of AI in various industries.

Another notable aspect of Slush 2023 was the array of side events and networking opportunities it offered. These events provided platforms for participants to build valuable relationships and networks, particularly in the venture capital and private equity markets. The presence of international fund investors and general partners at these side events underscored the event’s role in facilitating the growth and internationalization of Finnish startups and growth companies.

Slush 2023 also highlighted the importance of diversity and inclusion in the tech and venture capital ecosystem. 

In terms of content, Slush 2023 focused on practical advice for founders navigating the ongoing tech downturn. Topics included scaling companies, overcoming growth-related challenges, global expansion, and strategies for customer acquisition. Our representatives Konstantin Kariapin and Alex Velesnitski, engaged deeply in the realms of AI and business. Sessions on “Automating Legal Aid with NLP” and “ChatGPT Conversational Intelligence” were particularly enlightening.

Slush

Conclusion and Plans for 2024

As we wrap up our 2023 journeys, Timspark looks forward to continuing our exploration of innovative events in 2024. Stay tuned for our upcoming plans and the exciting opportunities that await us in the world of technology and business innovation.

Join us in this continuous journey of discovery and innovation. We’re just getting started!

October Wrap-up: Timspark’s Journey Through Four IT Events

Your Expert Guide to the Top 20 DevSecOps Tools in 2024

Your Expert Guide to the Top 20 DevSecOps Tools in 2024

12 min read

Security is no longer an afterthought but an integral part of the entire software development process, much like the critical role of encryption in a banking app. Imagine a financial application handling thousands of transactions per minute; a single security flaw not caught in time can lead to massive data breaches and loss of customer trust. 

DevSecOps, blending development, security, and operations, underlines the need to weave security measures into every phase of software development, from the first line of code to the last update rolled out. Think of a scenario where you’re building a complex, cloud-based service or deploying an application on VPS hosting. Without the right set of tools used in DevSecOps, each stage — coding, deployment (including virtual machines), and maintenance — could become a potential weak spot for cyber attacks. 

In this guide, we’re going deep into the variety of DevSecOps tools. These tools work tirelessly behind the scenes, ensuring that every module, API keys, and every line of code in your software is not just functional but protected against cyber threats and other security flaws. We’ll explore the top 20 tools you should have in your arsenal in 2024, each one a key player in safeguarding your software development cycle against cybersecurity risks.

But let’s first take a look at what the DevSecOps tool is, why you need it, and how to pick the best one based on the feature set.

DevSecOps tools

What are DevSecOps tools: a comprehensive overview

DevSecOps tools are essential in coding, especially when you’re dealing with complex projects. They’re not just about keeping your code safe; they’re also about making your whole development process more efficient.

Take automated security scanning tools, for example. They work in the background, checking your code for potential issues. This means you can catch bugs early, saving you a ton of time and headaches later on.

Then there’s container security. If you’re working with Docker or Kubernetes, having a tool to manage security in these environments is vital. You need DevSecOps security tools that know exactly what to look out for in these specific scenarios.

Infrastructure as Code (IaC) scanners are another key player. When you’re building your infrastructure through code, these tools make sure that everything you set up is secure and meets all necessary compliance standards.

Compliance monitoring tools are pretty handy, too. They keep an eye on your project to ensure it sticks to industry regulations, ticking all the right boxes.

Lastly, integrated DevSecOps platforms can be real time-savers due to versatile functional coverage and alerting tools. They combine various aspects of the development process, like integrating security into code and deploying it all in one place. This means less juggling between tools for you.

In short, DevSecOps tools are like the support crew in your development process, handling a lot of the technical and security details so you can focus more on the creative coding part.

Why you need DevOps security tools

Let’s talk about why having a DevOps security tool mix is non-negotiable again. Without proper security, you leave the software’s front door wide open for cyber intruders. The potential risks are no joke. Cyber threats can turn your masterpiece into a nightmare and cost you A LOT. 

Don’t believe it? 

Let’s crunch some numbers. Statistics scream the importance of DevOps security tools. Breaches are happening left, right, and center. They lead to losing data and the aftermath — damaged reputation, legal chaos, and a hit to your bottom line.

The global average cost per data breach is getting scarier and scarier every year ($4.45 million in 2023) with the highest losses attributed to the healthcare industry. However, less strictly regulated industries are still subject to data privacy regulations and need to stay compliant with the basic security requirements.

In a nutshell, it’s not a matter of if but when. DevOps security tools aren’t a luxury; they’re your lifeline. They provide the shield that keeps your software intact. So, let’s not gamble with your digital legacy. Embrace DevOps security tools, and let the statistics be a wake-up call.

Must-have features in DevSecOps tools

When you’re diving into the sea of DevSecOps tools and techniques, it’s crucial to know what floats and what sinks. Here’s a list of features to absolutely look for in the first place:

– Integration: The MVPs of DevSecOps tools play nice with your existing tech stack. Look for tools that easily integrate into your development pipeline, ensuring a smooth workflow without the headache of compatibility issues.

– Automatic web application security checks: Time is money, and in the coding universe, it’s also the key to staying ahead of the game. Top-notch DevSecOps tools automate security checks like a silent guardian. They catch vulnerabilities on the fly, saving you from late-night debugging sessions.

– Real-time threat intelligence: You need tools with radar and threat modeling. Opt for those armed with real-time threat intelligence, so you’re not just reacting to yesterday’s threats but staying one step ahead.

– User-friendly interface: Let’s keep it real — nobody has time for a tool that requires a PhD to operate. Your ideal DevSecOps security tools are user-friendly, with an interface that even your coffee-deprived coder at 3 a.m. can navigate without a hitch.

– Scalability: Your code is destined for greatness, so your tools better grow with it. Choose DevSecOps tools that scale effortlessly as your projects evolve, ensuring they’re not just for now but for the next big thing.

– Compliance: With so many regulations and standards, your tools should make compliance quick and painless. Look for those that understand and align with industry standards, saving you from regulatory headaches down the road.

Effective DevSecOps tools quietly fortify your code. Keep an eye on these features, and your toolkit will be the envy of every developer on the block.

Top 20 DevSecOps tools you can’t afford to miss

We’ve curated the ultimate lineup — the top 20 DevSecOps tools that are not a luxury but a necessity. From DevSecOps automation tools to threat management, these are the backbone of your code.

1. Check Point CloudGuard 

DevSecOps tools

Ideal for enterprises navigating the cloudscape, CloudGuard is your go-to among security tools for DevSecOps that don’t compromise on speed.

Main features:

  • Compatibility with leading cloud providers
  • Integration into CI CD pipeline
  • Intuitive dashboard for real-time insights

‘Check Point CloudGuard is ideal for intelligent prevention, agile processes, and total security controls over cloud.’ — G2 Reviewer

2. Spectral

DevSecOps tools

Spectral is the watchtower for identifying and rectifying vulnerabilities. With automated policy enforcement, it ensures your code meets security standards effortlessly.

Main features:

  • Code scanning
  • GitHub integration
  • Customizable security policies
  • Developer-friendly CLI (Command Line Input)

‘Spectral changed our security. We can find issues and fix them easily. A must-have for any operations teams serious about secure coding.’ — Gartner Reviewer

3. Jit.io

DevSecOps tools

Jit.io brings simplicity to secrets management and is one of the free DevSecOps tools (or Freemium). With secure storage and dynamic access control, it ensures your application secrets are locked away from prying eyes.

Main features:

  • API-driven architecture
  • Support for various secret types
  • Easy integration with Continuous Integration and Continuous Delivery pipelines

‘Jit.io improved our secrets management. It’s easy to use, and the API-driven approach fits into our CI/CD workflow.’ — Capterra Reviewer

4. Snyk

DevSecOps tools

Snyk identifies and fixes security vulnerabilities in open-source dependencies. With continuous monitoring, it ensures your dependencies stay secure over time.

Main features:

  • Support for multiple languages
  • Deep integration with CI/CD tools
  • Actionable insights to enable developers

‘Snyk protects our entire codebase. It is one of the security tools in DevOps that not only finds vulnerabilities but guides us on how to fix them effectively.’ — G2 Reviewer

5. SonarQube

DevSecOps tools

SonarQube ensures your code meets not only security standards but also maintains high-quality standards. It scans code for bugs, security vulnerabilities, and code smells.

Main features:

  • Support for various languages
  • Integration with popular IDEs
  • Detailed code analysis reports

‘SonarQube is the code quality ensurer for our development teams. It identifies issues and provides actionable insights, making our codebase stronger.’ — Gartner Reviewer

6. OWASP ZAP

DevSecOps tools

OWASP ZAP defends against web application vulnerabilities. With its comprehensive scanning capabilities, it identifies security issues and provides clear reports for remediation.

Main features:

  • Active and passive scanning modes
  • RESTful API for automation
  • Extensive community-driven plugin architecture

‘OWASP ZAP is our go-to for web app security. It finds vulnerabilities and educates our team on best practices.’ — Capterra Reviewer

7. Checkmarx

DevSecOps tools

The Checkmarx software exposure program takes a deep dive into your source code, identifying and eliminating security vulnerabilities. Its static application security testing tools (SAST) ensure that your codebase is protected against potential security threats.

Main features:

  • Support for multiple languages
  • Integration with popular CI/CD tools
  • Centralized dashboard for comprehensive security management

‘Checkmarx elevated our security posture. Its thorough code analysis and actionable insights make it a cornerstone among our DevSecOps security tools.’ — G2 Reviewer

8. Aqua Security

DevSecOps tools

Aqua Security monitors containerized environments, ensuring the security of your containers throughout their lifecycle. With its container security platform, it gives protection against container-specific threats.

Main features:

  • Deep integration with major container orchestration platforms
  • Runtime application self-protection
  • Vulnerability scanning

‘Aqua Security leads us in securing containers. It also works well with our CI/CD pipeline. A must for containerized applications.’ — Gartner Reviewer

9. Cloud Foundry

DevSecOps tools

Cloud Foundry is your ticket to cloud-native application development and deployment. With its Platform-as-a-Service (PaaS) functionality, the tool simplifies and accelerates the delivery of applications.

Main features:

  • Multi-language support
  • Built-in scalability
  • Compatibility with major cloud providers

‘Cloud Foundry’s PaaS capabilities allow us to focus on building, not managing infrastructure.’ — G2 Reviewer

10. Sysdig

DevSecOps tools

Sysdig is your observability lead in the world of containers and microservices. With real-time visibility and security, it ensures your containerized applications run smoothly and securely.

Main features:

  • Container-native monitoring
  • Anomaly detection
  • Runtime security

‘Sysdig is our eyes and ears regarding container security. Its real-time monitoring and security features give us the confidence to run containerized applications at scale.’ — Capterra Reviewer

11. Veracode

DevSecOps tools

Veracode is the duo of static and dynamic application security testing (SAST and DAST). It dives deep into your codebase, identifying vulnerabilities early in the development process and ensuring your applications are secure in production.

Main features:

  • Support for multiple languages
  • Integrations with popular IDEs and CI/CD tools
  • Centralized platform for managing application security

‘Veracode stands out among other DevSecOps pipeline tools, catching vulnerabilities before they become headaches.’ — Gartner Reviewer

12. Qualys

DevSecOps tools

Qualys is a cloud-based security solution that covers a spectrum of vulnerabilities, from web applications to network infrastructure. With its vulnerability scans management tools and continuous monitoring, Qualys provides a solid security blanket.

Main features:

  • Cloud-native architecture
  • Real-time threat intelligence
  • Integrations with SIEM and ticketing systems

‘Qualys’s cloud-based approach and continuous monitoring give us the confidence that we’re always aware of potential issues.’ — G2 Reviewer

13. Skyhawk Security

DevSecOps tools

Skyhawk Security specializes in threat detection and response, ensuring your digital realm is protected against evolving cyber threats. With its AI-driven capabilities, it provides real-time insights into potential security incidents.

Main features:

  • AI-driven threat detection
  • Real-time incident response
  • Integration with security information and events management (SIEM) systems

‘Skyhawk Security protects well against cyber threats. Its AI-driven approach gives us real-time insights and allows us to respond swiftly to potential incidents.’ — Capterra Reviewer

14. Burp Suite

DevSecOps tools

Burp Suite extensively covers web application security testing. From scanning for vulnerabilities to aiding in manual interactive application security testing, it protects all bases.

Main features:

  • Dynamic scanning
  • Manual security testing tools
  • Community-contributed extensions

‘Burp Suite is one of the best choices for DevSecOps testing tools. It aligns with our testing approach and ensures we catch every potential vulnerability.’ — Gartner Reviewer

15. Codacy

DevSecOps tools

Codacy guards your code quality, analyzing the codebase and providing insights into potential issues. With its automated tools for code reviews, it ensures your code maintains high standards.

Main features:

  • Support for multiple languages,
  • Integration with popular version control systems
  • Intuitive dashboard for code analysis

‘Codacy automates reviews and saves us time. The actionable insights help us continuously improve the quality of our code.’ — G2 Reviewer

16. Prisma Cloud

DevSecOps tools

Prisma Cloud is the sentinel for cloud-native security, providing top protection for your cloud workloads. With its multi-cloud support and container security capabilities, it ensures your cloud infrastructure remains secure and compliant.

Main features:

  • Multi-cloud compatibility,
  • Container security
  • Integration with CI/CD pipelines

‘Prisma Cloud gives multi-cloud support and container security features, keeping us confident to accelerate our cloud-native development securely.’ — Capterra Reviewer

17. Fortify

DevSecOps tools

Fortify is the leader in the static application security testing (SAST) arena. It dissects your code, identifying vulnerabilities and providing actionable insights for remediation.

Main features:

  • Language support for various programming languages
  • Integration with popular IDEs
  • Comprehensive reporting

‘Fortify’s thorough SAST capabilities and detailed reports empower our development and security teams to build with security in mind.’ — G2 Reviewer

18. Blackduck

DevSecOps tools

Blackduck is a good choice when it comes to open-source DevSecOps tools, scanning your codebase for vulnerabilities in third-party software components. With its continuous monitoring, it ensures your dependencies remain secure over time.

Main features:

  • Support for multiple languages
  • Integration with CI/CD pipelines
  • Knowledge base of DevSecOps tools open-source components

‘Blackduck assists against open-source vulnerabilities. It provides continuous monitoring and a comprehensive database of components to help us stay ahead of potential threats.’ — Gartner Reviewer

19. Coverity

DevSecOps tools

Coverity is the code quality gatekeeper, ensuring your software is free from defects and vulnerabilities. With its static code analysis tool, it identifies issues early in the development process.

Main features:

  • Support for various languages
  • Integration with popular IDEs
  • Detailed code analysis reports

‘Coverity is our code perfection tool. We really enjoy deep static analysis tool capabilities.’ — G2 Reviewer

20. Jenkins

DevSecOps tools

Jenkins is the automation pro among DevSecOps security tools, following your CI/CD pipelines with finesse. With its extensibility and vast plugin ecosystem, it automates the build, test, and deployment security processes.

Main features:

  • Support for various plugins
  • Integration with popular version control systems
  • Flexibility in pipeline configuration

‘Jenkins is good at extensibility and ease of use to improve our CI/CD pipelines and allow us to deliver software faster and more reliably.’ — Gartner Reviewer

Conclusion: Protecting success with DevSecOps tools

The right DevSecOps tools ensure that your software meets high-quality standards and stands resilient against the relentless tide of cyber threat models. As we wrap up our exploration of the top DevSecOps tools, it’s evident that the key lies in choosing tools that align with your unique development needs and security aspirations.

These DevSecOps tools aren’t just about identifying vulnerabilities; they’re your partners in creating a robust, efficient, and secure software development lifecycle. From the cloud guardianship of Check Point CloudGuard to the secure code perfection pursuit of Codacy, each tool brings its own strengths to the table.

All of the best DevSecOps tools integrate well with CI/CD, encounter a good community, and promise scalability. Though they do differ in some aspects. Let’s break down their prowess with a quick DevSecOps tools comparison table.

DevSecOps tools list comparison

DevSecOps Tools 2023

Deployment Environment

Static Analysis (SAST)

Dynamic Analysis (DAST)

Container Security

Software Composition Analysis (SCA)

Infrastructure as Code (IaC) Security

Pricing Model

Check Point CloudGuard

Multi-Cloud

yes

no

yes

no

no

Subscription

Spectral

Multi-Language

yes

no

no

no

no

Subscription

Jit.io

Cloud

no

no

no

no

no

Freemium

SonarQube

Multi-Language

yes

no

no

no

no

Subscription

OWASP ZAP

Web Applications

no

yes

no

no

no

DevSecOps open-source tools

Checkmarx

Multi-Language

yes

no

no

no

no

Subscription

Aqua Security

Containerized Environments

no

no

yes

no

no

Subscription

Cloud Foundry

Cloud-Native

no

no

no

no

no

Open-source tool

Sysdig

Containers, Microservices

no

no

yes

no

no

Subscription

Veracode

Multi-Language

yes

yes

no

no

no

Subscription

Qualys

Cloud

no

no

no

no

no

Subscription

Skyhawk Security

Cloud, On-Premises

yes

no

no

no

yes

Subscription

Burp Suite

Web Applications

no

yes

no

no

no

Subscription

Codacy

Multi-Language

yes

no

no

no

no

Subscription

Fortify

Multi-Language

yes

no

no

no

no

Subscription

Blackduck

Multi-Language

no

no

no

yes

no

Subscription

Coverity

Multi-Language

yes

no

no

no

no

Subscription

Jenkins

Multi-Language

no

no

no

no

no

DevSecOps open-source tools

As evident, the DevOps as a Service pricing and strategy will differ among mobile app platforms, not to mention the specific stack linked with each. Ensure that your DevOps team possesses hands-on expertise in the precise mobile development approach you choose for your product.

Securing your software future with Timspark

At Timspark, we prioritize protecting applications and software supply chain with DevSecOps security tools. With a proven track record, cutting-edge solutions, and an adaptive approach, we’re your partner in the confusing and dynamic cybersecurity landscape.

Why Timspark?

Proven success: Check out our top-tier DevOps tools, security, and other solutions for various software types.
– Modern solutions: Borrow our commitment to investing in the latest tools and strategies. Let us advise on how to select DevSecOps tools for secure software delivery.
– Adaptive approach: We tailor security tools for DevOps to your unique needs, whether in cloud-native development, traditional applications, or hybrid environments.

Integrate security into your software future with this list of DevSecOps tools and Timspark. Explore our DevSecOps services for an innovative approach where software security meets excellence. Don’t wait — fortify your software today!

DevOps as a Service for Mobile Development

DevOps as a Service for Mobile Development

Mobile app development has evolved way beyond just brainstorming innovative ideas and writing clean code. Success here hinges on the smooth collaboration between the dev and operations departments. That’s why DevOps as a Service has been gradually changing how mobile applications are built, tested, and pushed out into the world.

Let’s break it down further in the post and reveal the best impact it may have on your mobile app development project.

Why go for DevOps as a Service in mobile development?

DevOps as a Service, in simple terms, unites the brains behind development (Dev) and the guys handling operations (Ops). This blend is possible through a cloud-based service that focuses on teamwork, automation, and constantly keeping a watchful eye on the entire process. DevOps, as a managed service in mobile app development, ensures a painless and fast creation, testing, and deployment of applications across various devices and platforms.

Imagine a team making up a banking mobile app, and they go for a DevOps as a Service model. Automated testing is tailored for financial transactions, ensuring stringent security and compliance standards, while continuous integration swiftly identifies and rectifies issues related to features like fund transfers, account balances, and transaction histories. 

This helps speed up the app’s creation, testing, and release. It means they can fix issues faster, reduce mistakes, and end up with a more dependable final app.

devops as a service

Implementing DevOps as a Service for mobile development brings a bunch of awesome benefits:

Quicker time-to-market: DevOps as a Service makes development faster, so companies can release their apps speedily.

Better teamwork: It helps teams work together smoothly, even if they’re in different places, which means better collaboration and sharing ideas.

Higher quality: Automation and constant testing make sure the apps are of great quality and work really well.

Saving money: Going for DevOps as a managed service lowers infrastructure costs and makes better use of resources, which saves money in the long term.

Let’s explore what exactly DevOps as a Service companies do to achieve these attractive outcomes.

What Exactly DevOps as a Service companies offer to mobile development

DevOps as a Service for mobile development is all about tackling the specific challenges of building mobile apps. Here’s what DevOps as a Service providers offer in the context of mobile development.

devops as a service

Automated build and continuous integration (CI)

DevOps as a Service automates the building of mobile apps, making sure that code changes get integrated, validated, and tested regularly. It assumes the entire infrastructure support (dev, stage, and prod environments). This speeds up things and fosters a transparent development process, cutting down on errors and amping up the quality of the code.

Picture a mobile app team at a social media company. They’re using DevOps, and when a developer drops some new code into their code stash, the computer robots take over, testing everything automatically on different phones and systems. This way, they catch and fix problems early, and then they add new things to the app.

Cross-platform support

Mobile DevOps as a Service companies provide solutions for managing cross-platform development. This includes tools and processes for building and testing apps that smoothly run on both iOS and Android. The goal is to deliver the best and uniform user experience across diverse gadgets.

App distribution and deployment automation

DevOps services help with the automated distribution of mobile apps to various app stores or enterprise distribution platforms. This involves managing deployment pipelines, versioning, and automating releases, making it easier to roll out updates and new features.

Integrations

Trendy mobile apps always want to be the ultimate all-in-one tool. So, the mobile DevOps needs to ensure everything connects as needed and without unnecessary developer attention to side things like API keys, passwords, etc.

DevOps helps connect the apps with other services like social media, weather forecasts, maps, ChatGPT, and even favorite music apps. All this without interrupting the development cycle.

Testing and quality assurance

DevOps practices for mobile development put a spotlight on automated testing for different devices, screen sizes, and operating system versions. This guarantees that the app performs reliably and consistently across a diverse array of mobile devices.

Imagine a team developing a popular iOS app that is used by millions of users. In a traditional development process without automated testing, they make a significant change to the app’s core functionality, but they don’t catch a critical bug during manual testing. This bug goes unnoticed until the app is released to users, resulting in a massive failure.

Monitoring

DevOps ensures monitoring throughout the development process, such as adding monitoring of builds. Monitoring usually includes:

  • Monitoring builds before TestFlight

    Before deploying a beta version to TestFlight, monitoring checks can identify issues early. For instance, automated checks can scan the code for vulnerabilities or standards violations. If issues are found, the build can be halted automatically, allowing developers to address the problems promptly.

  • Support team monitoring 

    Support always needs to know what’s going on with the servers and other things. DevOps provides dashboards that show if everything is running smoothly. And if something goes wrong, the team gets a heads-up right away so they can jump in and make things better for the users.

  • Accessibility monitoring 

    DevOps wants everyone to be able to use the apps, no matter what. So, they have tools that check if it’s easy to use, primarily for people with disabilities. If they find any issues, the team fixes them to make the app more inclusive.

  • Alerting 

    DevOps watches your apps all the time. If something goes seriously wrong, like a server crashing, alerting sends a text or email. That way, the team knows there’s a problem, and they can fix it as soon as possible.

  • Incident response 

    When DevOps spots big issues, they don’t waste time. They jump in, fix things up, and take notes on what happened. This helps prevent the same issues from happening again.

User feedback integration

DevOps tools keep an eye on the performance and health of mobile apps in real-time. Plus, they often integrate features for gathering user feedback and analytics, empowering developers to make data-driven decisions for tweaks and updates.

Think of a gaming app company that loves to hear what players have to say. They’ve got feedback forms in their game and use fancy tools like Zendesk or UserVoice. When gamers report problems or share ideas, it’s not ignored. The DevOps sorts it all out and tells the game creators what needs fixing or adding. That way, the game gets better and better, and players keep having a blast.

Security and compliance

DevOps services take on the mobile security concerns tied to app development. This includes sticking to secure coding practices, such as keeping an eye on the validity of the SSL certificate, regularly checking for security gaps, and making sure everything complies with industry regulations and standards.

Blockchain-Based Mobile App for Document and Data Security

Collaboration and communication

DevOps as a Service promotes teamwork among dev, operations, and QA teams. It typically includes communication tools and platforms that make collaboration smooth, helping teams work together happily, no matter where they are.

Scalability and resource optimization

Mobile DevOps services tap into cloud infrastructure and other scalable solutions to optimize resources as needed. This ensures that development and testing environments can scale up or down dynamically, supporting the growing needs of mobile app projects.

By getting on board with DevOps as a managed service for mobile development, organizations can conquer the fast-paced and competitive world of mobile apps, where quick development cycles and responsiveness to user feedback can make or break success.

One big thing in implementing DevOps in mobile development is understanding how different mobile platforms actually work behind the scenes. Seasoned DevOps professionals with good expertise surely know all the essential points where the mobile stack differs and needs special care.

Let’s look at the examples of these differences.

Differences in DevOps as a Service for Android, iOS, cross-platform, and mobile web app development

You might go for an app for either Android or iOS — or both individually. Alternatively, you could opt for a cross-platform app to save time and money, avoiding the need to create separate solutions for each platform. As a developer, you might also be exploring the option of a mobile web app or dealing with all these types simultaneously.

Now, what are the key distinctions in the development process for the leading mobile platforms?

Differences in DevOps as a Service for mobile development

Parameter

Android

iOS

Cross-Platform

Mobile Web Apps

Development Tools

Android Studio, IntelliJ IDEA

Xcode

Xamarin, React Native, Flutter

Web-based frameworks like React

Testing & Debugging

Emulators, Real Devices

Simulators, Real Devices

Simulators, Real Devices

Emulators, Real Devices

Deployment

Google Play Store

Apple App Store

Multiple Platforms

Accessed via web browsers

Device Fragmentation

High due to various devices

Low due to controlled ecosystem

Medium, streamlined development

Dependent on browser compatibility

Updates & Maintenance

Regular updates, varied timing

Strict guidelines, synchronized

Unified updates, synced cycles

Easier, no app store submission

DevOps Approach

Emphasizes open-source tools, wide compatibility

Leverages closed ecosystems, stringent control

Encourages unified pipelines, cross-tool compatibility

Focuses on web-based CI/CD processes

As evident, the DevOps as a Service pricing and strategy will differ among mobile app platforms, not to mention the specific stack linked with each. Ensure that your DevOps team possesses hands-on expertise in the precise mobile development approach you choose for your product.

Struggling to set up DevOps for a mobile project?

In the fiercely competitive market of mobile app development, DevOps as a Service presents a potent approach to building high-quality mobile applications. The smooth fusion of development and operations facilitated by DevOps as a Service not only expedites the development cycle but also elevates the overall quality and dependability of mobile apps.

Armed with an understanding of the distinctions among iOS, Android, cross-platform, and web-based mobile apps, businesses can make informed choices in selecting the ideal DevOps as a Service company to drive their mobile app projects to success.

Future of AI in Healthcare: Trends to Watch in 2023-2024

Future of AI in Healthcare: Trends to Watch in 2023-2024

Just 20 years ago, all talk about artificial intelligence was perceived as science fiction. However, the latest achievements in IT and increased computing power have allowed breakthroughs in this area. AI has become a part of our lives, especially in such an important field as healthcare. Despite traditional conservatism in medicine, factors such as the aging population and the COVID-19 pandemic have made the use of AI not only possible but even necessary. Recently, the workload on medical staff has increased drastically, so an intelligent and tireless assistant came in handy. So, what is the future of AI in healthcare? Let’s delve into healthcare trends in 2023 and beyond.

AI technology trends in Healthcare

Among the digital trends in healthcare, it is worth noting the following ones:

  1. Telemedicine and IoMT for monitoring patients’ health
  2. Surgical robots with built-in AI
  3. Application of computer vision to patient care
  4. AI as a personal assistant
  5. Disease prevention using AI
  6. Neural networks for research and diagnostics
  7. Handwriting recognition for digitizing medical records
  8. AI for administrative tasks

Let’s look at these areas in more detail.

 

1. Telemedicine and IoMT for monitoring patients’ health

The Internet of Medical Things (IoMT) has given impetus to the development of telemedicine. AI-integrated wearable devices connect to a secure network, allowing doctors to remotely collect patient health data, process it, and send back new recommendations. Moreover, these smart devices can operate relatively autonomously and instantly respond to deviations in a person’s condition, for example, monitoring heart rate or blood pressure. At the slightest suspicion that a patient is in danger, AI will alert a human doctor. Meanwhile, the server-based AI solution can process large volumes of data transmitted from hundreds of thousands of devices simultaneously while applying a personalized approach to monitoring each patient’s health. 

According to the RockHealth.org study, about 80% of Americans accessed care via telemedicine. 46% of respondents reported having a wearable device to track their health condition. [1]

wearable ownership

2. Surgical robots with built-in AI

Speaking of smart devices, it is worth mentioning surgical robots — these little assistants to surgeons can perform complex operations with minimal damage to the human body. The doctor still makes decisions during the surgery, but the manipulations and collection of the necessary data are carried out by microrobots. As a result, the patient can recover faster, and the risks of relapse are reduced.

Strategic Market Research reported that the share of robotic surgery in general surgery was 23% in 2022. The surgical robot market is valued at US$5.16 billion in 2021 and is projected to reach US$20.98 billion by 2030. [2]

3. Application of computer vision to patient care

The biggest problem in healthcare is that most people do not follow doctors’ orders. This is especially important when preparing for surgery, during the recovery period, or in the case of a chronic disease when the patient needs to perform certain activities on a schedule. And here, AI comes to the rescue. The widespread application of computer vision makes it possible to monitor how a person is taking prescribed medications.

According to Naturemedicine, about 70% of people with diabetes do not take insulin as prescribed. These results were obtained from an experiment using a wireless AI sensor. [3]

Moreover, artificial intelligence can recognize subtle signs of health problems in patients. It could be facial expressions, gestures, or asymmetries in walking that indicate the person is in pain. Such monitoring can be quite helpful for the elderly since accidental falls due to impaired postural stability can lead to bone fractures and shorten their life. [4]

4. AI as a personal assistant

The effectiveness of treatment directly depends on knowledge of the complete picture of a person’s health status. A virtual AI assistant can help a doctor select personalized therapy based on the patient’s data and accumulated records from millions of similar cases. This approach will be especially effective for the elderly.

The aging population has increased the burden on the medical industry, not only because seniors are getting sick more often but also because older people tend to be lonely, which leads to depression and hypochondria. Artificial intelligence can help here, too: a personal robot assistant will be available 24/7. Chatbots with the NLP function can successfully communicate with a person in their native language and, at the same time, catch markers of the patient’s instability by tone of speech or style of writing. This way, older people won’t feel abandoned, even hundreds of miles from a doctor. After all, AI does not know fatigue and has no prejudices.

The asthma app developed by our team is an example of AI-powered software that can be used as a virtual assistant for patients and medical staff. If you need something for broader use, the IBM Watsonx Assistant medical chatbot may be a good fit. [5]

Market.US predicts that the global healthcare chatbot market will reach US$1168 million by 2032. For reference, in 2022, it was valued at $195.85 million. [6]

global healthcare chatbot market

5. Disease prevention using AI

In recent years, developed countries have been shifting their focus from treating diseases to preventing them. This issue is especially acute concerning heart stroke, which is still the number 1 killer. Round-the-clock monitoring of a person’s health, activity, and lifestyle can reduce mortality and prevent diseases. This approach became possible with the advent of wearable devices. Moreover, even a small amount of data collected by mobile phone sensors (such as gyroscope, accelerometer, etc.) can be processed by AI to prevent, for example, falls. An uneven gait may indicate cardiovascular disease, rheumatism, or even mental instability.

AI could help identify people who are at around 90% risk of sudden death and who account for more than 25% of all sudden cardiac deaths. [7]

Healthcare software development

6. Neural networks for research and diagnostics

Prevention of diseases and assistance in patient care are special cases of the Research and Diagnostic field, where AI benefits the most. With machine learning approaches, including neural networks and deep learning, it is possible to derive non-trivial correlations in vast accumulated volumes of data. Artificial intelligence can now do what took research centers years to accomplish in days or even hours.

Of course, it would be unwise to exclude humans from this field: AI may discover an interesting relationship between a person’s diet and the risk of heart attacks or detect a suspicious spot on a patient’s X-rays, but the final decision rests with a human professional. Replacing the radiologist with a completely robotic solution risks false negatives, and it is also unethical. If the news is bad, the patient wants to hear it from a sympathetic person, not a soulless machine. Moreover, AI does not have the critical thinking inherent in humans and, therefore, cannot objectively evaluate the result obtained. The latter is essential for self-learning systems: AI cannot understand how to correct the data it is trained on. We all remember how ChatGPT 4 suddenly became dumber [9] after training on publicly available data on the Internet.  

Nevertheless, the help of a superbrain in processing data, finding correlations, and even proposing innovations (for example, developing new drugs or vaccines) is invaluable. Such ready-made services as Microsoft AI Health can be used for these purposes. [10]

McKinsey research shows that AI can be beneficial for discovering new drug compounds. The use of artificial intelligence in the pharmaceutical and medical-product industries could potentially increase their productivity – from 2.6 to 4.5% of annual revenue or from $60 to $110 billion per year. [11]

7. Handwriting recognition for digitizing medical records

Electronic health records (EHR) will no longer surprise anyone. However, there is still quite a large amount of handwritten data that needs to be digitized and classified. AI can help recognize handwritten texts, and its self-learning abilities make it possible to decipher different handwriting of doctors. This doesn’t just apply to old records. Despite global digitalization, sometimes it is more convenient for medical staff to write a treatment plan by hand or even create it verbally using speech recognition services such as AWS HealthScribe. [12]

Future Market Insights states that EHR Software leads the US healthcare solutions market with approximately 63.3% share in 2022. The Electronic Health Records market in the United States is expected to reach $15.3 billion by 2033. [13]

8. AI for administrative tasks

Conveniently making an appointment with a doctor, timely ordering materials and medications, and processing insurance claims take up considerable time for medical personnel and are not always performed optimally. An AI assistant can save valuable human time and complete the above tasks more efficiently.  

Has the doctor’s appointment schedule changed? The virtual assistant can call patients and find another convenient time for everyone or ensure that prosthetists order suitable materials on time. Artificial intelligence can monitor every stage of work and remind those in charge of the necessary steps. When analyzing insurance claims, AI plays a significant role in fraud prevention. Thus, AI-based solutions can improve the efficiency of routine tasks and reduce the number of human errors.

Today, healthcare workers spend up to 70% of their time performing routine administrative tasks. AI could help here by taking over about 50% of administrative tasks. [14]

Overall impact of AI on healthcare and related fields

The use of artificial intelligence is not limited to the above trends. AI is capable of:

  • Improving approaches to medical education through personalization and integration with entertainment technologies such as VR/AR;
  • Making insurance processes more transparent, which is very important for countries with developed insurance medicine;
  • Helping in the development of high technologies and so on.

A McKinsey study [11] found the following impact of AI on healthcare and related fields:

  • Artificial intelligence in software engineering can significantly reduce costs and speed up the process, which is extremely important for healthcare tech development.
  • With the adoption of AI, supply chains and operations can become more transparent and seamless.
  • Most of the tasks of attracting and retaining customers (or patients in the case of healthcare) can be delegated to virtual assistants.
  • And we shouldn’t forget the contribution of AI in research and development, especially when we talk about pharmaceuticals and medical products.

According to McKinsey, AI can increase productivity in healthcare from 1.8 to 3.2% of annual revenue, or from $150 to $260 billion per year. [11]

generative ai use cases

Interested in building your own AI projects?

Would you like to launch your own AI startup but are unsure of success? AI projects, in general, are costly, and considering you’ll have to compete with the likes of Apple, Amazon, and Microsoft, does it make sense to invest in your idea?

Reviewing healthcare technology trends, we at Timspark believe it’s worth a try. Each project has its highlight (the so-called killer feature), and we can focus on it during development. At the same time, ready-made AI services can be integrated into your solution. This approach allows you to bring a product to market and test your idea quickly. As the popularity of the developed solution grows, third-party services may be replaced one by one. Meanwhile, the accumulated user data can be used to train your own AI software.   

Timspark’s professionals with a computer science degree and experience in Python, Go, C++, Java, Rust, or other languages applicable to machine learning will be happy to support you on this challenging journey.

References

  1. Consumer adoption of digital health in 2022: Moving at the speed of trust. RockHealth.org, 2023.
  2. Top Robotic Surgery Statistics to Follow in 2023. Strategic Market Research, 2023. 
  3. Assessment of medication self-administration using artificial intelligence. Nature Medicine, 2021.
  4. Falls and Fractures in Older Adults: Causes and Prevention. National Institute of Aging, 2022.
  5. IBM Watson Assistant for Health Benefits Data Sheet. IBM, 2018.
  6. Healthcare Chatbots Market. Market.US, 2023.
  7. Artificial intelligence may help predict – possibly prevent – sudden cardiac death. American Heart Association Resuscitation Science Symposium, 2023.
  8. Apple is reportedly developing an AI-powered health coaching service. Apple, 2023.
  9. Is ChatGPT getting dumber? Deutsche Welle, 2023.
  10. The Microsoft AI for Health program: Solving the world’s biggest health issues, one life at a time. Microsoft, 2023.
  11. The economic potential of generative AI: The next productivity frontier. McKinsey & Company, 2023.
  12. AWS Announces AWS HealthScribe, a New Generative AI-Powered Service that Automatically Creates Clinical Documentation. Amazon, 2023.
  13. USA Electronic Health Records Market Snapshot. Future Market Insights, 2023.
  14. Transforming healthcare with AI: The impact on the workforce and organizations. McKinsey & Company, 2020.

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