The history of poisoning wells in times of conflict is an established one. Whether by cutting off access to wells or using it as a force multiplier for spreading disease, the town well has always been a significant attack vector.

In modern times, we can draw the analogy of a well to a script or API endpoint that initiates automation that drives change into infrastructure, applications, and digital services. Most organizations—78% employ a rich set of automation across IT to do just that. That should be no surprise given the prevalence of automation to drive changes into complex, hyperscale systems operated by Facebook, Twitter, and Amazon, among others.

That’s because, like the shared well of olden days, a single script can affect thousands of systems in a matter of minutes. In the before times, manual changes affecting the same number of systems might have taken days or even weeks. Automation is a force multiplier, allowing operations of all kinds to scale in ways that human beings could never achieve. It is the cornerstone of scaling processes, practices, and the business. Indeed, one can argue that an organization cannot become a digital business without automation. It is one of the six key capabilities organizations need to build to successfully capitalize on data, adopt Site Reliability Engineering (SRE) operations, and infuse digital services with the ability to adapt through modern app delivery.

But the thing about automation is that, well, it’s automatic.

Once begun, it’s difficult to intercept the cascading changes driven across such systems. Speed of change is one of the drivers for automation, after all, and once begun those changes are difficult—if not impossible—to stop.

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You’d have to be living off-grid to not have heard about automation propagating unintended changes that, ultimately, impacted large swaths of the Internet. A bad parameter pushed into a script is nearly impossible to recall once the enter button is pushed, or the API endpoint invoked. Once executed, the well has been poisoned.

This is not the first time I’ve raised the alarm concerning the security of IT automation. It is an overlooked and underexplored attack vector that will, eventually, be exploited. And even if ‘eventually’ is decades away, the more immediate threat of human error remains extant.

According to the latest Uptime Institute research, “nearly 40% of organizations have suffered a major outage caused by human error over the past three years.”

This is where AI—more correctly, ML—enters the room.

The use of machine learning to protect IT automation

Machine learning is particularly adept at uncovering patterns and relationships between data points. Today, most of the market is focusing on the application of machine learning to solve security and operational challenges. This includes identifying whether a user is a bot or a human, recognizing attacks, and even predicting imminent outages.

An area often unexplored is app infrastructure protection (AIP). For example, machine learning can be used to understand how operators and admins interact with critical systems and immediately notice when an interaction deviates from the norm. This is useful for detecting attackers attempting to access directories they shouldn’t or invoke commands with parameters outside normal usage.

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Read that last part again. Invoke commands with parameters outside normal usage.

Ah, there it is. There is nothing peculiar to security in the ability of AIP—and machine learning in general—to detect anomalous parameters or an attempt to execute an unusual command. This technology could just as easily be applied to IT automation to catch either human error or intentionally malicious commands.

Assuming the right level of access to target systems, such a machine learning solution could certainly offer a path to protecting systems against occasional bad parameters, lateral communication attempts, or any other attack. Ransomware, anyone?

Infrastructure—for apps, app delivery, and automation—is still an attractive attack vector. As organizations move to adopt more automation—and they are—they need to simultaneously consider the ramifications—accidental or intentional—of the use of that automation. From there, it’s necessary to consider how to protect it against the inevitable fat finger or malicious keystroke.

IT Automation is a force multiplier.

Full stop.

That means it’s useful for both intended and malicious use cases. Which implies a need to protect it. Machine learning may be one way to integrate AI with ops to protect the infrastructure that remains a vital component of a digital business.

[To share your insights with us, please write to sghosh@martechseries.com]

The post Using AI for IT Automation Security in 2024 appeared first on AiThority.

Red Hat Device Edge provides hybrid cloud-ready Linux, lightweight Kubernetes and enterprise automation to the most far-flung and remote edge sites

Red Hat, Inc., the world’s leading provider of open source solutions, announced the general availability of Red Hat Device Edge. Red Hat Device Edge provides a consistent platform designed for resource-constrained environments which require small form factor compute at the device edge, including Internet of Things (IoT) gateways, industrial controllers, smart displays, point of sales terminals, vending machines, robots and more.

Red Hat Device Edge aggregates an enterprise-ready and supported distribution of the Red Hat-led open source community project MicroShift (a lightweight Kubernetes project derived from the edge capabilities of Red Hat OpenShift) along with an edge-optimized operating system built from Red Hat Enterprise Linux. With general availability, Red Hat Device Edge now also includes Red Hat Ansible Automation Platform for more consistent Day 1 and Day 2 management of hundreds to thousands of sites and devices. As edge computing adoption grows across nearly every industry, Red Hat Device Edge offers customers and partners:

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• A minimal footprint that supports the deployment of workloads in small, resource-constrained devices in challenging environments by preserving system resources for workloads rather than using them for device operation itself;
• One edge platform, two tailored deployment options based on specific edge needs. Red Hat Device Edge with Red Hat Enterprise Linux and Podman is well-suited for very small deployments with static applications. Optionally, MicroShift can be added during or after deployment to bring Kubernetes for more dynamic environments that require advanced container orchestration and Kubernetes integration;
• A more consistent operational experience at the edge using the same tools and processes used in centralized environments. Whether apps are deployed on Red Hat Device Edge for the smallest edge devices or Red Hat OpenShift for large systems in the datacenter and cloud – it’s all one environment;
• Greater workload flexibility with support for deploying and managing bare-metal, virtual or containerized applications;
• Simplified deployment at scale with automation, meaning it’s easier to oversee hundreds or thousands of devices across heterogeneous hardware and software environments.

Red Hat is working with partners and customers including ABB, DSO National Laboratories, Dynatrace, Guise AI, Intel, Lockheed Martin and more to deploy, test and validate that Red Hat Device Edge can extend operational consistency across edge and hybrid cloud environments. Devices can be deployed in a remote desert, at sea or even in space, all while maintaining a consistent deployment and management experience, while using familiar processes and tools.

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Red Hat Device Edge delivers automation at the far edge

Effectively managing workloads at the edge increases the importance of consistent and reliable automation. The general availability of Red Hat Device Edge adds the power of Ansible Automation Platform to Red Hat Device Edge, adding the power of industry-leading IT automation. Red Hat Device Edge now offers:

• More predictability and repeatability in automating edge workloads;
• Standardized and repeatable connectivity configurations, policies and deployments to help maintain system health and integrity;
• Enhanced security and compliance posture at the edge with automated management and maintenance, including patches, updates and upgrades;
• Lowered barriers to entry for IT and OT (operational technology) teams, with automation tooling making it possible to manage edge workloads and devices with little to no IT specialty skills;
• The ability to configure and audit the devices and services needed like networking, Wi-Fi, DNS, SSL certificates and the applications running on the devices.

Supporting Quotes

Francis Chow, vice president and general manager, Red Hat In-Vehicle Operating System and Edge, Red Hat

“Red Hat Device Edge is community tested and ecosystem verified, built to extend Red Hat’s hybrid cloud solutions all the way out to our customer and partner’s furthest and most hard to reach edge use cases. With the inclusion of Ansible Automation Platform, Red Hat Device Edge offers organizations tools for consistent and dependable automation from sea to space and everywhere in between.”

Steve Tack, senior vice president, Product Management, Dynatrace

“As organizations extend workloads to edge services and devices, a unified approach to observability and security has become critical to manage complex, hybrid cloud environments. We are pleased to extend our collaboration with Red Hat to enable customers using Red Hat Device Edge to benefit from the Dynatrace platform’s AI-powered analytics and automation capabilities. As a result, customers can improve responsiveness, deliver more seamless user experiences, and boost the productivity of their cloud services, down to their lightweight Kubernetes environments at the edge.”

Naga Rayapati, founder & CEO, Guise AI

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“Built on Red Hat Device Edge, Guise EdgeOps is designed to manage remote edge devices and deploy AI edge workloads in an environment optimized for security. As data at the edge is increasingly vulnerable with the rapid growth in the number of devices, Red Hat Device Edge provides a solid, reliable foundation to safeguard critical data while also helping to accelerate workloads at the furthest device edge.”

[To share your insights with us, please write to sghosh@martechseries.com]

The post Red Hat Device Edge Is Now Generally Available appeared first on AiThority.

Organizations that have implemented an end-to-end process orchestration layer will be in a very strong position to gradually adopt AI to transform their business, simply by integrating it as process endpoints. Accordingly, process automation and AI adoption form a natural liaison that organizations should leverage to keep building competitive advantages.

However, as process automation continues to gain momentum across industries, organizations are struggling to manage the many automation initiatives they’re taking on. Projects get developed but end up siloed and disconnected from each other. In the worst case, stakeholders don’t share information, while there’s no end-to-end vision and little coordination between teams.

To solve these issues, many organizations are adopting a Center of Excellence (CoE) approach for automation and process orchestration. Our survey show that 76% of organizations either already have a CoE in place, or are actively working on it. These CoEs establish a process mindset for automation, connect business and IT on automation best practices, and serve as a catalyst to accelerate time to value.

Better alignment between business and IT leadership is an important benefit a CoE approach delivers. In our recent State of Process Automation surveys, 26% of respondents identify lack of alignment as a key reason for not extending automation initiatives in the first place. Another 64% say automation initiatives cannot keep pace with the rate of change in today’s organizations. This calls for a more coordinated approach.

But, what is the exact approach organizations should follow?

There are two schools of thought.

A traditional (maybe even old school) CoE model embraces a centralized, top-down way of managing automation and process orchestration projects. Guided by common processes, rules, and tooling, a rigid CoE team typically implements automation projects on behalf of the entire business. Now, a second, more decentralized and federated model is gaining acceptance – and rightly so. Creating a federated CoE provides enablement and empowers autonomous delivery teams to implement and operate their own automation and process orchestration projects while maintaining consistency and leveraging best practices. Allowing for better organizational scale, this approach is in line with the agile software development paradigms that have taken the industry by storm in the last decade.

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Whichever model an organization chooses, an automation CoE should train its focus on a few specific areas.

Delivery

If organizations want to transform their business through automation, they need to continuously deliver successful automation initiatives. For that, the CoE might help the business evaluate the automation pipeline or coordinate with external partners to staff projects. Beyond that, the CoE could consult with project teams on initial setup, provide constructive feedback on specific milestones, or help to evaluate KPIs for continuous improvement.

Once initiatives or projects are planned, a CoE could step in and help with execution. This would involve evaluating, selecting, and providing technologies in the hyperautomation tech stack, setting up the IT environment for success, and consulting on the right process modeling and implementation logic.

Enablement and knowledge-sharing 

Enablement includes defining the relevant skill sets in your organization, finding gaps and building automation skills, and creating and maintaining best practices. Examples could include setting up an internal wiki or documentation, establishing a training curriculum, running hands-on sessions to contextualize training and empowering developers via self-service initiatives to provide the right tools for scaling process orchestration.

Evangelism 

One of the CoE’s most important roles is communication – both inside and outside the organization. The CoE needs to spread the word about the vision for process orchestration and automation (via blogs, events, newsletters and speaking engagements), establish authority and trust with business stakeholders, and build a community of practice for automation to share knowledge internally.

Governance 

To accelerate automation initiatives, CoEs can provide well-proven architecture patterns, so that not every delivery team needs to reinvent the wheel. This should include initiatives to establish standardization around architecture guidelines, meet compliance regulations, create project templates, and provide guardrails for developers on automation projects. Some CoEs even provide a centralized automation platform upon which teams can implement their own processes. However, the governance is set up, it should never be seen as an impediment by the teams, but more as a valuable offering that helps them to improve time to value. The degree of standardization is thereby heavily influenced by your company culture and IT architecture.

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A Real World CoE in Action

National Bank of Canada, the sixth-largest bank in Canada, created an automation-focused CoE with three goals in mind. First, it wanted to build up in-house process expertise. It did so by setting up training and contextualizing that knowledge within concrete projects. Second, National Bank of Canada aimed to align IT, ops, and business stakeholders. It accomplished this by bringing stakeholders together in one-hour weekly meetings to discuss process automation best practices. Lastly, the bank needed to establish governance. This was achieved by pushing for standardization and re-usability.

The CoE now reduces wasted work and provides support for kickstarting projects. The team has 27 completed projects, with four to five in active development. The community has grown to 40 meetings and counting with more than 100 participants. And time to start new projects has shortened from weeks down to just days.

Conclusion

Automating and orchestrating processes can be challenging. To succeed, organizations can’t rely on siloed teams to carry out isolated initiatives. Processes need to be coordinated and aligned – both through technology and through organizational practices. Creating an automation Center of Excellence can help drive organizational initiatives forward to optimal capacity by sharing knowledge, bringing people together, providing the right tools and improving time to value.

In our part 2 of this two-part byline series, we will discuss how organizations can get started with a Center of Excellence focused on process automation and orchestration.

[To share your insights with us, please write to sghosh@martechseries.com]

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Hi Lloyd! Welcome to our Predictions Series. Please tell us about the most exciting part of working in the cloud industry.

According to me. future is exciting. I think the “Green Tsunami” will hit and the path to sustainability will travel through the cloud.

Companies of all industries – including oil and gas and utilities – will chase zero and decarbonize. Business leaders have traditionally focused on top and bottom-line performance indicators. But as changing consumer demands – coupled with stricter government regulations around ESG reporting among other laws – push companies toward greener practices, organizations will increasingly consider their green line as the leading indicator of long-term, sustainable business success. As a result, more companies will leverage the efficiency of the cloud to meet their sustainability goals in 2023, with a focus on achieving not just financial performance but also steering positive environmental and social impact through their sustainability metrics. Particularly in retail, customer demand for sustainable business practices is strongest. Decision makers will have to address the shifts in demand in order to win over consumers. There is a real opportunity for CIOs to lead the change in sustainability for their companies in 2023. This is a pivotal year.  

Your take on multi-Cloud environment and how businesses should get ready to diversify their offerings in this area:

Multi-cloud will become table stakes for enterprises.

2023 will be the year that businesses realize the advantages of diversifying their services across several cloud providers. With economists predicting a recession next year, business leaders will look to multi-cloud for scalability and capability to open the door to growth and real competitive advantage. With this shift, will also come increased investment in learning and development, as businesses look to develop comprehensive training programs to upskill, re-skill and train employees on multiple cloud technologies.  

How do you see Cloud computing platforms influencing the growth of AI and machine learning algorithms in 2023?

AI will be brought more heavily into the low-code equation.

Artificial intelligence will increasingly enable software development processes that are more proactively guided and written by other software. This will allow business users to create new applications using text prompts with the assistance of the application development tools. While this prospect may cause professional developers to feel anxious, the shift promises to create new opportunities within IT, rather than eliminate old ones. Software developers will become adept at enabling this evolution by learning how to provide the right prompts to an AI tool to generate the code that a no-code application developer will need.  

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Also, generally, at a fundamental level AI, AR+VR and simulation software are going to rule. To support this necessary backbone, trends in improving compute network and storage are going to take an exponential leap in the next 3-5 years. So, tech changes will be driven at compute, storage and network level! IT departments will increasingly rely on the “business technologist”: Low-code options have created a new persona in the workplace: the business technologist—also known as “citizen developer”—who can participate in the application development process. As of now, the IT department still does the heavy lifting of application development, but in 2023 and beyond, business users will increasingly be able to create applications end-to-end with relatively little intervention from developers. This shift will allow developers to focus on maintaining large-scale strategic projects, while monitoring the long tail of the applications being built by business technologists. 

Please share your thoughts on IT security and business risks that could topple any organization if left unattended.

Security will continue to be top of mind. There will be escalating security issues and increased cyber attacks that will cement the notion that security is not just a technical risk, but a business risk. 88% of respondents to Gartner’s 2022 Board of Director’s survey viewed cybersecurity as a business risk, but few organizations treat cybersecurity protection as a business investment. 

• Companies must align security spending with business objectives, with most time and assets spent on protecting the most important business outcomes.  
• Customer trust continues to be critical. People demand that companies protect their personal information, and they expect to see value in return for the data companies collect and use. 
• CIOs must also consider supply chain risks and understand potential risks introduced through their partners (and partners’ partners). 
• Data sovereignty will become a greater priority for businesses more than ever before.  

Due to the recent geopolitical developments, we are witnessing governments tightening their national security regulations with a specific focus on technology.  Highly regulated industries will be challenged by looking for ways to balance compliance with the need to innovate and accelerate cloud transformations. They will look to partner with best-in-class sovereign cloud solutions.  

What it the most exciting part about working with robotics and automation?

In 2023, more robots will enter our daily life.  Many countries will need robots to survive the future, especially China, with its aging population.

Already we have robo vacuums, washing machines, etc. A humanoid form will enter factory assembly lines to alleviate labor shortages in certain areas. Robots will be tightly integrated in bringing parts from the warehouses to assembly lines. Data centers already are efficient, but disk replacements will see large involvement of humanoid/non-humanoid robots.  (US-centric) Also, given the instability around the world, we may see more military related innovations and spending with the Federal Government and the Department of Defense. Robotics for the military will be the first real-world use case of machines.  

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Thank you, Lloyd! That was fun and we hope to see you back on AiThority.com soon.

• About Lloyd
• About SAP

About Lloyd

President, SAP North America

About SAP

SAP’s strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: SAP customers generate 87% of total global commerce.

Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers’ businesses into intelligent enterprises. SAP helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want – without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improve people’s lives.

The post Predictions Series 2022: AiThority Interview with Lloyd Adams, President, SAP North America appeared first on AiThority.

Please tell us about your role at BMC Software. How did you arrive at BMC Software?

As the Senior Vice President and General Manager of Digital Service and Operations Management for BMC, I am responsible for the full suite of BMC Helix solutions for IT service management and IT operations management. Prior to joining BMC, I was the general manager for Mapbox, a SaaS platform for mapping, location data and navigation, supporting a variety of consumer and enterprise applications.

What kind of challenges did you face during the pandemic and how did you stay on top of your game?

As a company, the realities of COVID-19 forced organizations to adapt and evolve to meet the shifts in people, technologies, data, devices and an ever-expanding network. It challenged us to create a new normal for organizations, where every company is quickly becoming a technology-driven company with a data driven culture.  We’ve learned that strong leadership in times of adversity ensures an enriching employee experience and provides personal and professional support to our greatest asset, our people. We rely on strong leaders to communicate critical updates, facilitate collaboration, and obtain employee feedback to improve technologies and automation. They are encouraged to increase training and development opportunities for their teams, so they remain efficient, effective, collaborative, and creative. We’ve also learned the importance of proactive communication with partners and customers especially when face-to-face interaction was limited or non-existent.

Finally, like all other organizations around the world, operational and IT agility proved to be a paramount enabler or disabler of the business. Our business was built to be agile and responsive, and we learned that this preparation and mindset allowed us to make data-driven decisions that supported business continuity and kept our customers top-of-mind. With every business decision made, we consider how it supports and advances our ability to anticipate and adjust to customer needs, market changes, and global issues.

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Please tell us how you define Sustainable IT and AIOps innovations at BMC Software?

BMC Software believes that AIOps can help IT Operations lead their company’s evolution into an autonomous digital enterprise by embracing intelligent, tech-enabled systems across every facet of the business. ITOps teams are facing a huge surge in operational data volumes, increased complexities of IT environments, and large demand for manual operational tasks. AIOps can help by applying intelligence, machine learning, and advanced analytics to monitoring, resource planning, and automation. It helps ITOps teams reduce alarm noise, find root causes faster, reduce MTTR, and keep stringent SLAs today’s users expect.

When it comes to sustainable IT businesses must consider sustainability as making decisions based on the ethics and responsibility of your business, from your ecological footprint to your global business practices. For example, in software development, sustainability factors into eco-design principles, such as leveraging modern agile software methodologies and emphasizing modular code and code reuse for cloud and software-as-a-service (SaaS) offerings. Software ownership, which includes development, operation and maintenance costs, also has opportunities for improvement through automation. Automating testing, maintenance and continuous deployment processes can help organizations achieve better sustainability by reducing energy consumption.

Do you think CIOs should pay more attention to the role of AI and ML for IT automation? How do you bring these capabilities together at BMC Software?

AI and ML play an essential role in IT automation. With ML-driven IT Operations, businesses can obtain insights from ever-increasing data to drive cost and efficiency gains. Enterprises can use AI and ML-based alert noise reduction, root cause analysis, and predictive recommendations to ensure service performance, optimization, and automation. At BMC we bring together these capabilities in several ways one is through AIOps. AIOps solutions from BMC apply machine learning and predictive capabilities across IT operations and DevOps environments for real-time, enterprise-wide observability, insights, and automated remediation. Through this, BMC can provide visibility and generate proactive insights across the entire application structure, from cloud to data center to mainframe.

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We are seeing a rampant attack on IT infrastructure, and they are hardly ceasing. What should CIOs and CISOs do to prevent attackers from taking down databases?

Security Assessments are only getting more critical as organizations are tasked to secure an increasingly complex and expanding attack surface. To manage this workload, and better prevent attackers, successful organizations are investing in SecOps automation solutions to dramatically enhance the output and prioritization of their limited human capital. Simply knowing that there is a vulnerability is not enough. Tooling that provides business criticality and insight allows SecOps teams to prioritize efforts and further reduce organizational risk beyond a standard security assessment.

What are two Macro Trends in the IT business and AI innovation fields that would be influential to your business / marketplace in 2023?

One macrotrend in the IT business space is the focus on data in an organization. Statista reports that every person creates 97 zettabytes of data by the end of this calendar year. This creates an immense opportunity if we can capture, analyze, and apply it through the use of AI for better business results.

But businesses cannot deliver digital experiences on the front end without also putting the right tools and processes in place to digitally transform the back end. In 2023 adoption of AIOps capabilities will increase as implementation barriers decline and organizations see clearer value from their investments. AIOps will enable IT operations to support increasingly digital businesses by intelligently analyzing large volumes of data, learning system behaviors, and automatically recommending actions both proactively to prevent system failures as well as faster resolution if an issue does occur. As a result, organizations can embrace new application architectures and increasingly complex, hybrid ecosystems while ensuring that IT operations keeps pace with the needs of the business and evolving customer demands. This enables great customer and employee experience for both systems of engagement and systems of record environments.

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Share one piece of advice to every decision maker looking to invest in AUTOMATION and AI platforms in 2023?

IT automation uses AI and machine learning to enable data-driven business decisions, enhance quality, reduce unnecessary manual labor, empower employees, and optimize IT resources. I would advise any IT decision maker to ensure they are using enterprise software that will help them execute with efficiency and scale, free up employees from mundane tasks, reduce costs, and improve customer interaction.

Thank you, Margaret! That was fun and we hope to see you back on AiThority.com soon.

[To share your insights with us, please write to sghosh@martechseries.com]

• About Margaret
• About BMC Software

About Margaret

Margaret is SVP and GM of Digital Service and Operations Management of BMC Software. She business unit GM with P&L responsibilities for the company’s full suite of Helix solutions for IT service management and IT Operations management.

Before joining BMC, Margaret was the general manager for data services at Mapbox, a SaaS platform for mapping, location data, and navigation, supporting a variety of consumer and enterprise applications.

Previously, she led global product management, strategy, and customer success teams for CA Technologies Continuous Delivery business unit, with products for testing, release, and deployment. At Splunk, she started and led the Product team for Splunk Cloud and Splunk’s SaaS applications. Earlier in her career, Margaret was part of the original development team that started and grew Oracle’s Fusion Middleware product suite, from an internal start-up to a $4 billion per year business. She was also a development manager at a technology pre-IPO start-up that went public, and a consultant at McKinsey & Company, where she focused on technology and financial services projects and clients.

About BMC Software

BMC helps customers run and reinvent their businesses with open, scalable, and modular solutions to complex IT problems. BMC works with 86% of the Forbes Global 50 and customers and partners around the world to create their future. With our history of innovation, industry-leading automation, operations, and service management solutions, combined with unmatched flexibility, we help organizations free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead.

The post Predictions Series 2022: AiThority Interview with Margaret Lee, GM & SVP, Digital Service and Operations Management at BMC Software appeared first on AiThority.

Resolve Systems, the leading intelligent IT automation software vendor, announced the availability of its solution, Resolve IT Automation & Orchestration SaaS Edition, in the Microsoft Azure Marketplace. As part of the Azure Marketplace, IT infrastructure and operations practitioners can now automate and orchestrate complex use cases across their hybrid infrastructures with the SaaS edition.

The Microsoft Azure Marketplace listing includes a free trial of Resolve’s IT Automation as a Service. The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure, connecting companies seeking innovative, cloud-based solutions with partners who have developed ready-to-use solutions.

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Resolve’s packaged solutions accelerate innovation with low code to deliver modern service experiences with IT process automation. Available in more than 100 countries and regions, the Azure Marketplace provides a broad channel for Resolve’s IT Automation platform.

“At Resolve, it is our mission to help IT teams worldwide accelerate IT innovation with an industry-leading intelligent IT automation platform,” said Vijay Kurkal, CEO of Resolve Systems. “With the ability to respond and remediate IT issues faster, Resolve helps turbocharge speed and efficiency across IT functions. Our listing on the Azure Marketplace means that IT teams can now enable their organization to move faster, do more with less, and drive business innovation with the power of purpose-built automation.”

Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. said, “We’re pleased to welcome Resolve Systems to the Microsoft Azure Marketplace, which gives our partners great exposure to cloud customers around the globe. Azure Marketplace offers world-class quality experiences from global trusted partners with solutions tested to work seamlessly with Azure.”

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Resolve’s easy to use SaaS solution delivers automation that helps organizations to reduce mean time to response (MTTR), exceed their SLAs, and quickly diagnose and auto-remediate issues.

• Automate simple troubleshooting to the most complex diagnosis with 1000s of pre-built automations with Automation Exchange. Extensive library of prebuilt workflows jumpstarts end-to-end automation.
• Remediate issues faster. Spot problems immediately to aid in incident resolution. Automatically collect data from IT systems and tools to read from color-coded dashboards.
• Maximize your existing IT investments with out of the box integrations and connectors to allow seamless integration with any IT tool bidirectionally.
• Manage complex IT ecosystems with thousands of prebuilt action tasks, process templates, and runbooks. Automate compute, storage, network, cloud, and service desk use cases with a powerful automation platform.
• Standardize IT processes with a unified orchestration and automation platform. Robust unified orchestration layer creates a centralized automation hub.
• Accelerate delivery of new automations with no code, low-code, bring your own code. Drag-and-drop Automation Designer, Form Builder, and Page Builder offer a user-friendly, low-code user experience.

With proven success across diverse customer environments, Resolve’s automations can support all IT use cases from maintenance checks and Azure resource provisioning to incident remediation, increasing IT speed and more.

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[To share your insights with us, please write to sghosh@martechseries.com]

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Acquisition extends the Perforce portfolio with a solution to automate, scale, and integrate security and compliance across hybrid infrastructures

Perforce Software (“Perforce”), a provider of solutions to enterprise teams requiring productivity, visibility, and scale along the development lifecycle, backed by Francisco Partners and Clearlake Capital Group, L.P. (together with its affiliates, “Clearlake”), announced that it has signed a definitive agreement to acquire Puppet (or “the Company”), an infrastructure automation software platform which enables users to deliver, update, monitor, and secure software across physical and virtual machines. Financial terms of the transaction were not disclosed.

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