Last Updated: 23 Dec 2021 | 8 min read | Category: Mobile App Development |
With every passing day, more and more business companies are adopting an architecture based on microservices. That’s why the demand for service-level objectives or SLOs is also on the rise.
The teams of all business companies can use SLOs to set measurable objectives to ensure users receive the services they specifically want. When combined with service-level indicators or SLIs, SLOs can deliver the performance level promised in the SLAs or service-level agreements and every other business level objective or BLO while maintaining error budgets.
The explanation provided above can be challenging for you to contemplate. Here’s a basic explanation of SLOs.
The best IT services and solutions company in the USA quotes the definition of SLOs provided by Gartner. Basically, an SLO is a previously agreed-upon objective that a business has to achieve for every activity, process, and function.
In doing so, the company can create the best opportunities to facilitate the success of the customer. Therefore, in simple terms, SLOs are the representation of the health or performance of a specific service.
These may include the metrics of your business, such as uptime, conversion rates, availability, and others. The service metrics, on the other hand, include app performance. In terms of the technical metrics, you need to pay attention to third-party services, the expenses of running a service, and the underlying CPU.
So, why are SLOs important to an IT services and solutions company in the USA and why should they be equally important to you?
To put it simply, SLOs can ensure liability. Here are the reasons why SLOs deserve your attention.
With SLOs, your company teams can define the appropriate level of downtime, whether it’s for a specific issue or a service. SLOs can shed light on things that may fall short of an all-inclusive incident but fails to meet expectations fully.
Now, attempting to achieve full reliability isn’t always worthwhile or realistic. During such situations, SLOs can be of use to you. They’ll help you ascertain the balance between delivery and innovation.
SLOs will be beneficial for teams in charge of the infrastructure and DevOps to use performance and data-related expectations during making decisions.
You can decide whether you should release the specific version of the app and the aspects your developers should prioritize more than others.
When you have stable and properly calibrated SLOs at your disposal, they can set the path for your teams to automate various processes and test the same during the entire lifecycle of software delivery.
SLOs can help you automate systems for monitoring and measuring SLIs and set up alerts if specific indicators shift to a violation. Such a level of consistency lets your teams calibrate performance standards when developing a program and pinpoint issues even before your SLOs get violated.
Software programs can break. It’s an inevitable fact that you have to acknowledge and accept, even if you hire the best IT services and solutions company in the USA.
However, SLOs will allow the DevOps team to estimate problems before they even pop up. In fact, they can predict issues before they affect customers.
When you shift SLOs associated with production level into development, you can build apps properly to ensure they meet production SLOs for increased resilience and reliability before downtime happens.
It trains your teams to be more proactive while maintaining the quality standards of the software program and reduces your expenses by eliminating downtime entirely.
When it comes to improving the reliability of an application, you and your provider of custom software development services should be able to contemplate the difference between SLO and SLA.
If you define an SLA, it’ll come in handy when during reporting. Also, IT managers can rely on them to generate reports about whether the services of the business are meeting their targeted SLAs or not.
Then again, SLAs tend to be quite broad. They often avoid providing more specificity regarding where, when, and for whom your service levels need an entirely different objective for your business.
For instance, an e-commerce app may need only three 9s of reliability during slow times but need much more reliability during the holidays.
The problem with an SLA is that it isn’t actionable or predictive. Your DevOps team will miss its SLA more times than it manages to meet them. In fact, it’ll happen without improvement or feedback of any kind.
When you compare this situation with an SLA that isn’t on track to meet its goals, what steps will your team take to enhance stability?
These problems forced the engineers in charge of making a site reliable to change practices, terms, mindset, and tools from SLO and SLA.
SRE or site reliability engineering is something that Google introduced back in 2003. It also published the practices of SRE in the SRE Engineering book published in 2016.
The primary principles of SRE include eliminating labor, embracing risks, simplifying architectures, and instituting release engineering.
IT Infrastructure Library or ITIL is in tandem with the functions and principles of SRE. The main roles of SRE include promoting dev practices that can improve app reliability and performance and defending during incidents.
The most recognized and trustworthy providers of custom software development services believe that creating SLOs is a foundational practice of SRE. It’s possible to define them at the level of a business or more granularly at the app, data levels, or API.
They’re in charge of measuring failed versus successful events and vice versa during a predetermined duration window. For instance, an API that gets a monthly level of service of three 9s has to respond successfully to 99.9% of API requests during a period of 30 days.
If this API manages to handle 100,000 service requests within 30 days, it may have 100 failed events during that time and meet the corresponding SLO.
It goes without saying that the task of developing and publishing applications for mobile devices within worldwide marketplaces, such as Google Play Store, Apple App Store, or iTunes, is extremely difficult, even for the providers of the best custom software development services.
By defining and monitoring strategic targets with SLO, you can maintain the performance and stability of your application. In turn, this approach safeguards the revenue stream of the application.
The monitoring platforms of today can provide thousands of exclusive indicators for the performance and stability of your software program.
Most of these indicators get accumulated and measured with time as a metric that results in a massive bunch of time series continuously quantifying the state of your services and applications.
Modern, highly dynamic systems of deployment don’t lack the metrics of telemetry. That’s why Google introduced Site Reliability Engineering or SRE described above. SRE points to the best practices needed to safeguard software service delivery without going deep into the metric alerts.
You can use the same principles of SRE to protect your app delivery by using the out-of-the-box capabilities of your top mobile app development company.
In many instances, the app’s crash-free user percentage value is a representation of the out-of-the-box indicator for the reliability and stability of your mobile application.
An app developed by a reputable, recognized, and experience development agency is usually stable for almost all users. However, there will be times when your app will crash for one user. It happens when the user tries to open an unstable feature or if he/she installs it on a device that doesn’t support the application.
Fortunately, you can fix the situation if you can change the course dramatically. For every business owner, building an app that remains crash-free all the time should be your priority. Otherwise, inappropriate marketplace reviews will destroy the app, as well as your revenue flow.
No matter what you do, you have to hire the top mobile app development company available out there to deliver a stable and reliable application.
There’s another challenge that involves measuring the amount of time spent by users waiting for the UI to provide the information they seek, such as loading the information of the product in a shop or receiving messages in social media applications.
A highly-preferred metric used in measuring the user experience of an application is about using the Application Performance Index or Apdex. It’s a normalized measurement that categorizes the users’ actions into three different categories. These include “tolerated,” “satisfied,” and “frustrated.”
Once you finish selecting SLO metrics relevant to your business, you should move on to defining your stability and performance-related objectives.
Now that you have a basic understanding of SLIs, it’s time to define your SLOs. There are two objectives that you should try to achieve to make your app stable and improve its Apdex responsiveness.
Usually, experts normalize SLOs to percentages where a business’s percentage of crash-free app users fit in perfectly and don’t need any transformation.
You can use this metric directly inside the SLO configuration where you must also define the observation period and target value.
In short, an SLO has three parts worth mentioning.
Just think for a moment that you wish to achieve an objective of stability to ensure 99.9% of yours don’t end up with crashes while using your app throughout 24 hours.
It’s an extremely tough objective to achieve. After all, you’re expecting less than 1 user among 1000 to experience app crashing.
As already mentioned earlier, you need realistic goals that you can achieve. That’s why you should try to achieve 99% efficiency instead f 99.9%.
As more and more business companies and organizations adopt micro-services, the importance of creating measurable SLOs is also increasing. It’s the only thing that can help you consistently deliver resilient, reliable, and responsive software designed by the top mobile app development company.
Such a piece of software will meet the agreed-upon service levels. SLOs can also help teams assess the release risks and make decisions accordingly.
The thing about the architecture of micro-services is that there are many more tools, apps, and cloud-based infrastructural elements influencing an app’s availability and performance. It’s precisely what makes developing effective SLOs more difficult.
There are a few platforms worth exploring, such as Dynatrace, to make the task of creating and managing SLOs easier.
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