Welcome!

Microservices Expo Authors: Stackify Blog, Aruna Ravichandran, Dalibor Siroky, Kevin Jackson, PagerDuty Blog

Related Topics: Microservices Expo

Microservices Expo: Article

SOA Pattern of the Week (#4): Service Normalization

The "SOA Pattern of the Week" article series is comprised of original content and insights

Like data normalization, the Service Normalization pattern is intent on reducing redundancy and waste in order to avoid the governance burden associated with having to maintain and synchronize similar or duplicate bodies of service logic."

You can see it introduces the Pattern on our publisher page.

When designing data architectures, you can easily end up with different databases or even different database tables containing the same or similar data. This has been the root of many well documented data maintenance and quality issues that helped establish data normalization as widely accepted data modeling best practice. On a fundamental level, the aim of data normalization is to reduce data redundancy to whatever extent possible. This forces any applications that need to use a specific type of data to access it in one location. Therefore, by eliminating data redundancy, data normalization also promotes data reuse.

Reusability is, of course, also a primary goal of service-orientation. So much so that one of its eight principles (the Service Reusability principle) is dedicated solely to enabling this quality in services. Service Normalization is one of many patterns that support service reusability, but its goals go beyond that. Like data normalization, the Service Normalization pattern is intent on reducing redundancy and waste in order to avoid the governance burden associated with having to maintain and synchronize similar or duplicate bodies of service logic.

To accomplish this, Service Normalization essentially draws lines in the sand that establish the boundaries of services so that they do not overlap. Unlike data normalization, Service Normalization is not limited to data. Its primary concern is the normalization of functional service boundaries. Therefore, you will usually find yourself applying this pattern during the service modeling stages, when services are first conceptualized.

One of the most important aspects of understanding the practice of normalizing services is the actual scope or boundary in which the normalization effort is carried out. As we explained in the previous installment in this series, the Domain Inventory pattern enables you to establish multiple collections of independently standardized and governed services within the same IT enterprise. These service inventories (or “continents of services” as they are sometimes referred to) correspond to domains that still allow you to achieve service-orientation goals to a meaningful extent.

A service inventory blueprint is also defined during the analysis and modeling stages and the boundary of a given blueprint typically determines the scope at which Service Normalization is applied. This means that you are allowed to have overlapping service boundaries and redundant service logic, as long as it occurs across domain service inventories (not within a given service inventory).

The rules established by Service Normalization make their way into service modeling processes and overall service delivery methodologies. Avoiding functional overlap becomes a constant consideration and often forms the basis of a dedicated process step (especially for modeling processes that are carried out iteratively). It is also one of those considerations that needs to be tracked and coordinated when you have different teams working in parallel to model services for the same service inventory.

Yet despite best efforts, functional overlap still can happen. Something may get missed within the service inventory blueprint and services with similar capabilities are then inadvertently built. Or, there may even be hard constraints that prevent this pattern from being fully applied, such as when different services need to encapsulate legacy systems that themselves cannot be normalized. In this case, there may be embedded or entrenched logic that unavoidably leads to an extent of redundancy. Then, of course, there is the performance issue. You may run into a situation where delivering fully normalized services will impose unreasonable runtime latency and the only way out of it is to intentionally design some measure of denormalization into the services.

While you can add a real world twist and interpret this pattern as “Within a given service inventory, no two service boundaries can overlap, and if they do, there better be a darn good reason for it!”, the point is that the overarching objective of Service Normalization is to establish a solid foundation in support of the many goals of service-orientation.

The SOA Pattern of the Week series is comprised of original content and insights provided to you courtesy of the authors and contributors of the SOAPatterns.org community site and the book “SOA Design Patterns (Erl et al., ISBN: 0136135161, Prentice Hall, 2009), the latest title in the “Prentice Hall Service-Oriented Computing Series from Thomas Erl” (www.soabooks.com).

More Stories By Thomas Erl

Thomas Erl is a best-selling IT author and founder of Arcitura Education Inc., a global provider of vendor-neutral educational services and certification that encompasses the Cloud Certified Professional (CCP) and SOA Certified Professional (SOACP) programs from CloudSchool.com™ and SOASchool.com® respectively. Thomas has been the world's top-selling service technology author for nearly a decade and is the series editor of the Prentice Hall Service Technology Series from Thomas Erl, as well as the editor of the Service Technology Magazine. With over 175,000 copies in print world-wide, his eight published books have become international bestsellers and have been formally endorsed by senior members of many major IT organizations and academic institutions. To learn more, visit: www.thomaserl.com

More Stories By Herbjorn Wilhelmsen

Herbjorn Wilhelmsen is an Architect and Senior Consultant at Objectware in Stockholm, Sweden. His main focus areas include service-oriented architecture, Web services and business architecture. Herbjörn has many years of industry experience working as a developer, development manager, architect and teacher in several fields of operations, such as telecommunications, marketing, payment industry, health care and public services. He is active as an author in the Prentice Hall Service-Oriented Computing Series from Thomas Erl and has contributed design patterns to SOAPatterns.org. He leads the Business-to-IT group in the Swedish chapter of the International Association of Software Architects, which performs a comparative study of a number of business architecture methodologies. Herbjörn holds a Bachelor of Science from Stockholm University.

@MicroservicesExpo Stories
The nature of test environments is inherently temporary—you set up an environment, run through an automated test suite, and then tear down the environment. If you can reduce the cycle time for this process down to hours or minutes, then you may be able to cut your test environment budgets considerably. The impact of cloud adoption on test environments is a valuable advancement in both cost savings and agility. The on-demand model takes advantage of public cloud APIs requiring only payment for t...
"Codigm is based on the cloud and we are here to explore marketing opportunities in America. Our mission is to make an ecosystem of the SW environment that anyone can understand, learn, teach, and develop the SW on the cloud," explained Sung Tae Ryu, CEO of Codigm, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
High-velocity engineering teams are applying not only continuous delivery processes, but also lessons in experimentation from established leaders like Amazon, Netflix, and Facebook. These companies have made experimentation a foundation for their release processes, allowing them to try out major feature releases and redesigns within smaller groups before making them broadly available. In his session at 21st Cloud Expo, Brian Lucas, Senior Staff Engineer at Optimizely, discussed how by using ne...
Many enterprise and government IT organizations are realizing the benefits of cloud computing by extending IT delivery and management processes across private and public cloud services. But they are often challenged with balancing the need for centralized cloud governance without stifling user-driven innovation. This strategy requires an approach that fundamentally reshapes how IT is delivered today, shifting the focus from infrastructure to services aggregation, and mixing and matching the bes...
"CA has been doing a lot of things in the area of DevOps. Now we have a complete set of tool sets in order to enable customers to go all the way from planning to development to testing down to release into the operations," explained Aruna Ravichandran, Vice President of Global Marketing and Strategy at CA Technologies, in this SYS-CON.tv interview at DevOps Summit at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
While we understand Agile as a means to accelerate innovation, manage uncertainty and cope with ambiguity, many are inclined to think that it conflicts with the objectives of traditional engineering projects, such as building a highway, skyscraper or power plant. These are plan-driven and predictive projects that seek to avoid any uncertainty. This type of thinking, however, is short-sighted. Agile approaches are valuable in controlling uncertainty because they constrain the complexity that ste...
Cavirin Systems has just announced C2, a SaaS offering designed to bring continuous security assessment and remediation to hybrid environments, containers, and data centers. Cavirin C2 is deployed within Amazon Web Services (AWS) and features a flexible licensing model for easy scalability and clear pay-as-you-go pricing. Although native to AWS, it also supports assessment and remediation of virtual or container instances within Microsoft Azure, Google Cloud Platform (GCP), or on-premise. By dr...
"This all sounds great. But it's just not realistic." This is what a group of five senior IT executives told me during a workshop I held not long ago. We were working through an exercise on the organizational characteristics necessary to successfully execute a digital transformation, and the group was doing their ‘readout.' The executives loved everything we discussed and agreed that if such an environment existed, it would make transformation much easier. They just didn't believe it was reali...
It’s “time to move on from DevOps and continuous delivery.” This was the provocative title of a recent article in ZDNet, in which Kelsey Hightower, staff developer advocate at Google Cloud Platform, suggested that “software shops should have put these concepts into action years ago.” Reading articles like this or listening to talks at most DevOps conferences might make you think that we’re entering a post-DevOps world. But vast numbers of organizations still struggle to start and drive transfo...
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation. In the years since the publication of the Agile Manifesto, the conn...
"We're developing a software that is based on the cloud environment and we are providing those services to corporations and the general public," explained Seungmin Kim, CEO/CTO of SM Systems Inc., in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
The cloud revolution in enterprises has very clearly crossed the phase of proof-of-concepts into a truly mainstream adoption. One of most popular enterprise-wide initiatives currently going on are “cloud migration” programs of some kind or another. Finding business value for these programs is not hard to fathom – they include hyperelasticity in infrastructure consumption, subscription based models, and agility derived from rapid speed of deployment of applications. These factors will continue to...
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder. Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. Thi...
Let's do a visualization exercise. Imagine it's December 31, 2018, and you're ringing in the New Year with your friends and family. You think back on everything that you accomplished in the last year: your company's revenue is through the roof thanks to the success of your product, and you were promoted to Lead Developer. 2019 is poised to be an even bigger year for your company because you have the tools and insight to scale as quickly as demand requires. You're a happy human, and it's not just...
DevOps teams have more on their plate than ever. As infrastructure needs grow, so does the time required to ensure that everything's running smoothly. This makes automation crucial - especially in the server and network monitoring world. Server monitoring tools can save teams time by automating server management and providing real-time performance updates. As budgets reset for the New Year, there is no better time to implement a new server monitoring tool (or re-evaluate your current solution)....
We just came off of a review of a product that handles both containers and virtual machines in the same interface. Under the covers, implementation of containers defaults to LXC, though recently Docker support was added. When reading online, or searching for information, increasingly we see “Container Management” products listed as competitors to Docker, when in reality things like Rocket, LXC/LXD, and Virtualization are Dockers competitors. After doing some looking around, we have decided tha...
"Opsani helps the enterprise adopt containers, help them move their infrastructure into this modern world of DevOps, accelerate the delivery of new features into production, and really get them going on the container path," explained Ross Schibler, CEO of Opsani, and Peter Nickolov, CTO of Opsani, in this SYS-CON.tv interview at DevOps Summit at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
The benefits of automation are well documented; it increases productivity, cuts cost and minimizes errors. It eliminates repetitive manual tasks, freeing us up to be more innovative. By that logic, surely, we should automate everything possible, right? So, is attempting to automate everything a sensible - even feasible - goal? In a word: no. Consider this your short guide as to what to automate and what not to automate.
identify the sources of event storms and performance anomalies will require automated, real-time root-cause analysis. I think Enterprise Management Associates said it well: “The data and metrics collected at instrumentation points across the application ecosystem are essential to performance monitoring and root cause analysis. However, analytics capable of transforming data and metrics into an application-focused report or dashboards are what separates actual application monitoring from relat...