Why is there such an immediate need to marry all of these components? And what is the biggest challenge in doing so? Does ADC automation even matter?
Picture this –
Your organization is adopting a multi-cloud strategy to take advantage of benefits such as reduced costs, improved scalability, and a plethora of features that make the end-user experience more seamless. Now, adopting this strategy is no small feat because going multi-cloud means learning and adapting to a new set of tools and methods. This puts a burden on your DevOps and SecOps teams. They have to expand their knowledge base across different platforms.
Additionally, with the ever-increasing demand to deliver the best and latest applications, the concept of “continuous everything” has become the norm. The need to check in code-changes frequently to assure reliability and consistency in application delivery is no longer an option. This brings about the necessity of a CI/CD approach to application development and deployment. With so much going on in simply developing an application, your organization will definitely need a load balancing tool to manage network traffic to ensure deployment and delivery.
All this boils down to one holistic solution – the ADC (application delivery controller). A product that intelligently distributes traffic across multiple servers – whether on-premises or in the cloud – to ensure availability, minimize latency and optimize the user experience.
With ADC being a core function of your operations and in order to manage and automate your ADCs, you need a centralized, unified, single-window platform to keep NetOps, DevOps, SecOps, and app teams in sync. In other words, a single solution that can automate complex application delivery management and maintenance tasks and provide end-to-end visibility over your application delivery is the only way to make your business future-proof.
Let me elaborate –
Hybrid cloud adoption is complex in many ways! There are many moving parts, and everything has to work in sync.
Adopting hybrid and multi-cloud environments has resulted in many problems for application owners at different stages of implementation. As more people are moving to mobile, cloud, and remote working environments, the number of applications being created and deployed is rapidly increasing so are the security threats such as DDoS, data theft, etc.
A: Application delivery visibility is becoming challenging to monitor, especially when switching to modern software models and newer versions.
B: In many organizations switching from legacy software models to newer ones, though necessary, is not often undertaken due to the complexity of the processes involved and the lack of proper planning.
C: Customer retention has become critical, so it’s important to ensure that you ensure the best possible customer experience and deliver with utmost accuracy.
Infrastructure teams face many obstacles when deploying, monitoring, controlling, and managing applications. Provisioning, configuring, and managing physical servers, networking, storage, and security are some things that need to be automated.
DevOps Needs Automation
DevOps is an amalgamation of Development and Operations teams to make Agile development and deployment even more efficient. The Agile Methodology is a set of techniques that allows teams to release smaller chunks of work to customers faster, so they can deliver better products more frequently. It’s not about waiting until everything is finished before you can deploy.
In short, the development and operations teams work hand in hand to achieve high availability in applications and to meet the ever-changing demands of the end-users.
As organizations begin their transformation to become DevOps enabled, they must ensure that their infrastructure is prepared for continuous delivery.
Although this process has been working well for startups for a while, some organizations still struggle to adopt it due to a lack of understanding, massive process changes, and adoption strategies.
The Changing Role of Load Balancers
When it comes to application delivery, the role of load balancers was earlier limited to controlling the traffic flow between the client and server. But today, load balancers offer a wide range of features to improve application performance and reliability. They’re called Application Delivery Controllers (ADCs), and today’s devices provide an alternative to traditional servers and load balancers.
ADCs can monitor and manage your applications’ health and determine whether a server needs to be restarted. You can do this to help prevent outages. However, the network team still struggles to manage and automate ADCs and achieve app-centric visibility. This forces them to manually log on to every ADC and make changes, which is labor-intensive and time-consuming. Application-centric visibility and automation is a continuous challenge that needs to be addressed. The Network Operations team needs an automated, real-time solution for monitoring, alerting, and managing application delivery changes.
Key Takeaway
What are the top 20 problems you can solve while managing ADC/ load balancers as a full-time Network Engineer?
Application delivery teams need to have good visibility into their applications’ performance, whether deployed on-premises or in the cloud. In many organizations, it’s not easy to migrate systems to new software models as it is complicated and involves many factors. Up to 70% reduction in TAT can be achieved with the automation of up to 95% of the F5 Big-IP/ NGINX change requests. Here is the list of the top 20 problems you can solve while managing ADC/ load balancers as a full-time Network Engineer.
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Why does ADC automation matter?
Network admins are struggling to keep their networks up and running, with the pace of innovation and technology advancing faster than ever before. Managing your organization’s IT infrastructure can be a challenge, and with millions of dollars spent on addressing equipment failure each year, you need a solution to help you minimize downtime, identify the cause of errors, and take actions to avoid future outages.
Application delivery teams need to have good visibility into their applications’ performance, whether deployed on-premises or in the cloud. This requires the use of tools to automate and manage the application delivery process.
Some of the key requirements that application delivery teams should look for are:
- Increased application observability with actionable Insights irrespective of the infrastructure on which they are running
- A bird’s eye view of the applications and the traffic requirements
- Context-aware pre-configured workflows to empower the organization with self-serviceability
- Zero code approach to set up and maintain device configurations
Fortune 1000 companies use the state-of-the-art AppViewX ADC+ solution to manage their application delivery and security infrastructure. Up to 70% reduction in TAT can be achieved with the automation of up to 95% of the F5 Big-IP change requests. The manual management performed by networking teams can be shifted to a self-serviceable visual workflow to monitor the application state and status. If any malfunctioning is identified, incident automation and resolution features can reduce MTTR by triggering event-driven automation and auto-executed self-remediation.
DevOps, SecOps, NetOps, CloudOps, and every other person involved in delivering an application has the cumbersome task of accessing data from a global database. With application delivery and management, many teams face challenges when this process is manual and laborious. By automating this process, AppViewX ADC+ solves the majority of these cross-functional problems. Now you have the idea, here is the list of the top 20 problems you can solve while managing ADC/ load balancers:
1. Application View of Load Balancing Services
2. F5 Device Upgrade
3. Golden Config Compliance
4. Build New Load Balancing Services
5. Canary-Based Deployment
6. Blue-Green Based Deployment
7. F5 CVE Reporting
8. API Orchestration of Application Services
9. AS3 GTI Provisioning
10. Automate Deletion of F5 Application Services (One-Touch)
11. Cloud Services Automation AWS Route53
12. Declarative automation of F5 LTM services via YALM
13. F5 Change Automation with ITSM
14. F5 GITOps Orchestration
15. Orchestration of Application Security Services with Openshift
16. Provisioning/Monitoring of F5 Application Services in Real-time for App teams NetOps
17. SCM Integration GitLab, GitHub, BitBucket
18. SDK automation of Cloud Services
19. SNOW-AppviewX Orchestration of Application Security Services by Line of Business Service Catalog
20. Legacy ADCs to F5 Migration
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