What is Performance Engineering?
While many may think, performance engineering as essential for hardware and software applications, like response time, potential, throughput, and overall memory usage, it is a technique encompassing system development life-cycle to ensure the processes of your network are achieving their expected goals.
Multiple complex modules are used to build a distributed application that gives users different and dynamic response time that depends on the functions that are intended. To determine the stability of any solution, performance engineers are responsible for running tests. This helps engineers, developers, and designers to find out the flaws in a system and application that leads to carrying out tests to find potential solutions.
The development team will have to build the process of the entire system, life-cycle, as the application of performance engineering continues to increase. This will help organizations get more raw and flexible data and more improved chances to automate the processes and proficiently organize possibly disturbing components.
Purpose of Performance Engineering
- Rectify late system deployment due to performance issues
- Rectify avoidable system rework due to performance issues
- Rectify preventable system tuning efforts
- Ensure the system can process the transaction within the required timeframe and help increase business revenue
- Rectifying system failure that requires scrapping and writing off the efforts needed for system development due to failure of performance objective
- To avoid unnecessary or additional costs in hardware requirements
- If there is any other cost due to performance problems in production, then reduce the increasing software maintenance costs
- If there is additional cost due to software impacted by ad hoc performance fixes the reduce the rising software maintenance costs
- If there are system handling issues due to performance problems, then reduce the additional operational overhead costs
- Find out the future bottlenecks by creating simulations to identify the expected bottlenecks over prototypes
- Increase server capacity and performance
Performance Engineering for Cloud Computing
By implementing cloud computing, organizations can find solutions for some of the significant challenges in the broader software systems engineering. Cloud technology promises infinite capacity that comes combined with the ability to scale at the same speed while the mode and route of traffic changes. This capacity of cloud computing may make people think that performance engineering will become redundant in the days to come. The organizations might start believing that there will be no need to optimize applications or make plans or even get concerned about the efficiency of the organizational operations. But many experts believe that performance engineering can be applied in the area of cloud computing in delivering customized solutions. It is essential to understand the difference between the previous systems and cloud technology and how performance engineering can be applied in the proposed methods.
In today’s business scenario, cloud computing has become very important. The three Cloud Service delivery models are Software as a Service (SaaS), Platform as a service (PaaS), and Infrastructure as a Service (IaaS). Adopting to a cloud environment in any business creates obstacles in performance. For the overall success of adoption to cloud computing technology, considering the performance of the system and application is very important that will also include the readability, scalability, and the optimum cost of cloud services. While embracing cloud technology, organizations will need proper attention and efforts by the service providers and integrators of cloud computing. This is where performance engineering can play a vital role in enhancing the quality of services during the adoption of cloud technology.
Why Organizations Need Cloud Computing?
Managing complex business environment is very difficult for traditional IT solutions, hence cloud computing comes into play.
Some of the very crucial reasons are:
- The massive scale of content generation is possible in e-science and e-business data overload
- We also see an unexpected amount of digital content consumption: Apple iPhone, iPad, Amazon Kindle
- We see exponential growth in computing capabilities: multi-core, storage, bandwidth, virtual machines (virtualization)
- With cloud computing, we see extensive growth in applications like Web 2.0 social networking, biomedical informatics, business analytics, space exploration, YouTube, Facebook, Twitter, and many other social media platforms.
- Newer software and application architectures:
- Web services
- Multi-core, Wireless
- Distributed file systems/repositories (Google, Hadoop)
What is Cloud Computing?
Cloud computing enables convenience by offering access to a shared pool of organized computing resources like servers, networks, storage devices, applications, and other services, which requires minimal implementation and management effort or interaction with the service providers and integrators.
Cloud Services and Their Performance Challenges
Cloud technology has started producing new challenges due to the large scale of systems and much larger volume data that is generated by these systems. Real-time analytics is on high demand and expected to grow in the coming years, which will create challenges in the analysing of a massive number of millions of events taking place every per second with real-time constraints. Shortly, real-time analytics can emerge as excellent support for performance monitoring. This will emerge as another rich area of research in the coming years. It is expected that real-time analytics with limitation of time will improve the cloud-based systems’ performance management.
Above, we have discussed the importance of cloud computing ton meet the computing needs of today’s complex business requirements. It is beneficial for business due to its scalability, flexibility, pay according to the usage, on-demand availability, workload movement, resiliency, and multi-tenancy.
Every cloud computing model has its performance challenges, and also, they are interdependent during implementation and also meeting the performance requirement for every model individually. Performance aspects are the major challenges while adapting to the cloud environment and growth. All-inclusive performance engineering practices are crucial in both types of enterprises with cloud and non-cloud environments.
Capacity management services, workload modelling, NFRs, SLA definitions, and core performance engineering are a must in the cloud environment. The integrators, service providers, implementers, and consumers of the services are the participants for the deployment of cloud services, and each one has their interests and goals. The challenges posed by cloud technology are significant; hence performance engineering disciplines need to innovate itself from time to time to meet the growing challenges. Therefore, industry experts are concluding that performance engineering is becoming more critical in making Cloud-based IT industry successful.