Migrating your organization to the cloud can be a great way to boost your efficiency. With resources readily available through your cloud infrastructure, your team can streamline their daily workloads and get more done. However, not every organization achieves this end so easily.
Any issues with the design and implementation of cloud services can lead to more performance issues than before. Fortunately, there are steps that you can take to keep your cloud environment working at optimal performance levels.
Here’s a look at seven methods you can use to improve the performance of your cloud:
1. Address issues with latency.
When on a strict time limit, your team can’t waste time waiting to connect to your cloud-based applications. Unfortunately, the more apps you use, the more Internet bandwidth they consume. This can lead to a bottleneck in service known as latency. In some cases, this can cause apps to become unusable, resulting in issues for your end users.
If your organization is experiencing problems with cloud latency, then you should start by determining the source of the bottleneck. Most cloud vendors will provide you with the tools needed to conduct network assessments. Should these reviews identify causes of latency, you can troubleshoot and address elements that have become congested.
You can also alleviate latency by choosing a cloud provider with data centers that are close to your location. The closer you are to their data centers, the less your Internet connection will affect your app connectivity and the better your performance will be.
2. Look at your applications and database.
In many cases, issues with cloud performance come not from a lack of available resources, but the design of your apps and underlying database. Start by reviewing the coding of your apps to determine if there are problems with their initial programing. Sometimes, even small changes to the code can alleviate performance issues you are experiencing.
Similarly, insufficient design of your cloud database could be at the root of shortcomings in performance. Each database requires different optimization tactics, but you can start with index utilization. If this still doesn’t fix the issues, then you should consider increasing your workload response.
3. Update application caches.
All apps, in the cloud or otherwise, rely on data to run properly. As end users run your apps, these platforms constantly access information from your storage. However, the cloud can complicate this process, particularly if you use multi-tenant architecture. Data center congestion can make it even more difficult for your apps to connect to their data. This can result in slower response times and lowered productivity.
The best way to alleviate this issue is by using caches, which house copies of the most commonly-accessed app data. Caches typically reside close to the apps themselves, making it easier for them to access the information required to run tasks. It is important to consistently update your cashes to ensure that they reflect the same information that resides in your main data store.
4. Set up autoscaling.
Flexibility is one of the greatest advantages of the cloud, so make sure you take advantage of it. Different cloud apps will demand different levels of resources on a day-to-day basis. You should be scaling your infrastructure to meet these constantly-fluctuating needs. However, to do this manually would require a tremendous amount of oversight on behalf of your IT team—time that they may not have to spare.
Autoscaling makes this job much easier by fully automating the process of provisioning additional cloud resources based on need. You can establish your own parameters for when to scale and how, depending on the performance levels you wish to achieve. Better still, this allows you to take a hands-off approach to resource provisioning while still achieving optimal performance.
5. Keep up with evolving cloud deployments.
If you encounter issues with cloud performance, then you may be using an outdated cloud deployment model. Cloud vendors are constantly unveiling new models, which both assist with migration and improve the overall performance of their cloud resources.
Keeping up with these new cloud deployments as they roll out will make it easier for your infrastructure to run your apps efficiently. It will also keep your entire cloud environment more productive.
6. Optimize cloud instances.
Every cloud workload requires its own set of resources. To optimize the performance of each workload, you must determine which resources it needs and spin up an instance that will be sufficient. An instance that isn’t robust enough will significantly hamper the performance of your workloads, if it even provides enough support for those workloads to run in the first place.
It’s vital that you avoid overcompensating with instances, however. Deploy an instance that has too many resources, and you won’t see any additional impact on the workload’s efficiency. You’ll merely waste your cloud spend. Metrics will help you right-size your cloud instances for peak performance.
7. Use monitoring services.
Monitoring is an essential facet of cloud performance optimization. Deploying a monitoring solution will allow you to pinpoint potential issues in your cloud infrastructure before they start having an effect on your performance levels.
Modern day monitoring services—such as those that cloud service providers offer—can track numerous workloads and data centers at once, so you will never miss a thing. As such, you’ll be empowered to make the decisions needed to improve your cloud performance and keep it optimized over time.