Agility, cost savings, and scalability. Three goals which have become the Holy Grail for today’s CIOs. When it comes to data integration, the rapid evolution of elastic cloud computing has now made these goals infinitely more attainable.
Elastic cloud computing allows companies to quickly expand or decrease computer processing, memory, and storage resources as their requirements change. The concept behind elastic cloud data integration is to create an environment where data loads, no matter how big, can be handled automatically without system failure. By safely and easily scaling in and scaling out, companies are better able to manage both costs and time.
In an increasingly data-driven environment, many companies find it difficult to project how much data will be entering their systems at any given time, or where it will be coming from. Unpredictable data load challenges can be a costly problem and IT leaders are quickly realizing that being able to scale and nimbly adapt to any potential changes in data volume, type, and source, can significantly de-risk operations.
Another common problem, especially when it comes to new use cases, is to overprovision for integration job loads. Without a keen eye and constant tweaking, many IT departments end up overspending and losing money due to under utilization. At the same time, if heavier workloads push you over your threshold, your system’s availability can quickly be put at risk, and you could even face costly disruptions and downtime. Both these scenarios could result in a poor ROI and diminish trust in you and your team.
Seasoned IT professionals will tell you that rigid infrastructure comes with many challenges. Rigidity means fragility, and when performing under pressure systems can easily break resulting in missed performance targets and disappointed clients. What’s more, when teams are forced to optimize existing data pipelines for heavier workloads, they may resort to error prone manual processes. These short-term fixes are often unstable, may not last, will make upgrades more difficult, and even expose your organization to additional security risks.
All of these challenges can be solved by elastic cloud computing and data integration.
Being able to dynamically respond to your environment is paramount in a digital-first marketplace. Synatic believes that being able to nimbly scale is the key to unlocking an organization’s agility, ensuring that it has the ability to pivot and adapt on demand to meet the changing flex and friction. When understanding the benefits of elastic cloud data integration, it must happen in context of the value of scaling out.
Unlike scaling up, or vertical scaling, (adding more resources to an existing system to reach a desired state of performance), scaling out or horizontal scaling allows you to access as much resource as required to cater for your current business needs and pressures. It ensures that finite resources are allocated optimally and allows you to take advantage of market leading technology without CAPEX outlays. Most organizations see it as the latest in performance and system capability without the weighty technology price tags.
After scalability, control is the next key benefit. Elastic cloud data integration puts you firmly in charge of costs and time. Being able to optimize performance means you can dial up or dial down processing power when needed. Access to massive parallel processing means you can meet any deadline no matter the volume of data. On-demand processing also means you only pay when you are using the system. This pay-as-you-go model has quickly gained support from CFOs who are looking to harness every possible efficiency.
For better elasticity and scalability in cloud computing, enterprises have turned to hybrid cloud infrastructure. At Synatic, the scaling out process is managed by the Synatic Hybrid Integration Platform (HIP) using distributed calculation units known as Workers. Synatic’s container-based capabilities allow you to scale out at speed by spinning up workers within a container when greater processing power is needed and reducing the number of Workers once the job is done.
The Synatic platform is designed to spin up Workers to run flows and test different configurations at speed so that you can deploy into a production or quality assurance (QA) environment at the click of a button, allowing you to avoid unnecessary downtime. Multiple components ensure that any shifts in demand are met with the right levels of service and support, de-risking your business and making sure that it remains agile. If your traffic surges, we have SQS for message queueing and S3 for incoming data storage, ensuring that your business can manage occasionally larger workloads without the risk of overprovisioning. This allows you to scale out seamlessly on an ad hoc basis, because we know that your bottom line is as important as your need to meet customer demand.
Synatic understands the many benefits of the elastic cloud and we have engineered our offering to bring all of these to our clients. Synatic offers infinite flexibility that deals with all of your flex and friction, handing you the scale and control you need to consistently deliver a flawless customer experience. The goal is to deliver a scalable platform that fits within all types of environments, solves your fluctuating data load requirements, and to do all this at speed. No more frustrating quests for the Holy Grail, Synatic delivers agility, cost savings and scalability, neatly solving your data challenges with a single HIP. For more information on how your business can benefit with Synatic platform, Contact Us.