Infrastructure as Code (IaC) is the process where infrastructure (networks, virtual machines, load balancers, and connection topology) managed with code and software development techniques such as version control and continuous integration. IaC is necessary for regular DevOps practices and used in conjunction with Continuous Delivery. IaC allows DevOps teams to test applications in production-like environments early on in the development cycle.
The developers, and system administrators as well, interact with infrastructure methodically, and at a scale, rather than manually setting up and configuring resources with cloud’s API model help. Engineers can, therefore, interface with infrastructure with code-based tools to help and treat both infrastructure and application code similarly. Infrastructure and servers can now be deployed swiftly with standardized patterns, updated with the latest patches/versions, or duplicated in repeatable ways.
A Virtual Private Cloud (VPC) enables users to provide an isolated sector of a public cloud network, thereby creating a private virtual network over which they have complete control. Users have full control over private IP addresses, creating subnets, and in addition to configuring route tables and network gateways. Other benefits cover with Disaster Recovery, Multiple Connectivity Options, Secured Features, Extending the Datacenter to Cloud, Network Topologies, and Hybrid Applications.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) allows users to deploy, manage, and scale containerized applications quickly, using Kubernetes on AWS. Amazon EKS runs the Kubernetes management infrastructure across multiple AWS availability zones to eliminate a single point of failure. Benefits covers with Zero-Downtime, Rolling Deployment, IAM to RBAC mapping, Auto Scaling, IAM roles for Pods, Deploying Helm securely with automated TLS certificate management, and Heterogeneous Worker Groups.
Users automatically can adjust the capacity of several compute resources allocated to the applications and maintain steady and predictable performance depending on the requirements. Advantages include the seamless availability of new instances during demand spikes and auto reduction during demand drops.
Users can include a collection of best security practices for managing secrets, credentials, and servers. Also, they can embrace streamlined support for CloudTrail, KMS, SSH key management via IAM, IAM Groups, fail2ban, NTP, and OS hardening.
A data cache can configure to span multiple servers, storing common requests, and enabling quick retrieval. Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, run, and scale popular open source compatible in-memory data stores. Build data-intensive apps or improve the performance of your existing apps by retrieving data from high throughput and low latency in-memory data stores.
Users can deploy a MongoDB cluster, including Replica Sets, Sharding, Automated Bootstrapping Process, Backup, Recovery, and OS Optimizations.
This module includes support to deploy separate Elasticsearch, Logstash, and Kibana clusters, each with automated zero-downtime rolling deployment, automatic recovery of failed servers, and security groups and IAM policy configuration. Additionally, it contains scripts for setting up Filebeat and CollectD on an application server to ship off logs and machine metrics to Elasticsearch.
An OpenVPN server can deploy by the user and manage user accounts with Identity and Access Management (IAM) groups. It includes automatic install and configuration of a high-availability OpenVPN server, public key infrastructure (PKI), data backup, IAM policies, security groups, and cross-platform apps to request and revoke credentials automatically.
TICK Stack, based on the push model collecting data, a set of open source components – Telegraf, InfluxDB, Chronograf, Kapacitor – collectively deliver a platform to store, capture, monitor, and visualize data. Telegraf, a plugin-driven server agent, is used to collect and report metrics. InfluxDB is a high-performance time-series database to manage high writes and query loads. Chronograph, the user interface and visualization engine of the platform, allows for easy monitoring and alerting the infrastructure. Kapacitor, a data processing engine, can process both stream and batch data from InfluxDB.
DC/OS (the Distributed Cloud Operating System) is an open-source and distributed operating system based on the Apache Mesos distributed systems kernel. DC/OS manages multiple machines in the cloud or on-premises from a single interface; deploys containers, distributed services, and legacy applications into those machines; and provides networking, service discovery, and resource management to keep the services running and communicating with each other.
Amazon Elastic Container Service allows users to run Docker applications on a scalable cluster. It eliminates the need to install and operate your container orchestration software, manage and scale a cluster of virtual machines, or schedule containers on those virtual machines.
From the initial development step, we adopt automation in the infrastructure. We allow you to submit the deliveries with greater consistency, eliminating Human error, and supporting task repeatability.
Building a secure infrastructure with snowflake configurations comprising the metal servers will avoid the effect in hardware or software requirements, case-by-case manual handling. Automation dramatically replaces the manual efforts, reduces the time taken to deploy thousands of servers, eliminating the snowflakes and configuration, and drift errors.
We provide test-free deliveries for clients that remain unchanged for the majority of the OS flavors. We also offer end-to-end support for the applications that we develop. Apart from this, we provide testing in the cloud environment with the entire modules that can develop in it.
Day 1 Advantage
As we have the expertise level in providing viable Products / Applications, we can hand over the earlier draft with required functionalities. A well-defined and enriched Application will be offered to the client satisfying their requirements.
Requirement Analysis – On the requirements that you provide, we analyze and help on how the application is to built.
Resource Allocation – A dedicated resource is allocated to the entire Project until the development comes to an end by providing support in between.
Involving the Customer – While developing the application, necessary changes/updates are taken from the client and implemented at the initial stage.
Product-based outcomes – Once we are done with the finally tested and approved product, it will be delivered straight away to the client.
End-to-End Support – After the product is delivered, we are here to support any issues raised at any time.
Updates – We accept the challenges that come at the time of application usage by updating a single module or the entire application if needed.