Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft Azure is a fantastic platform that allows customers to access many cloud resources that customers can then connect to solve business problems. There is enormous power in the platform, and it’s like having your giant box of Lego bricks, which you can build into any solution. The challenge with a platform in which you can build anything you want is that when your application is built, the platform view makes it difficult to create a way for your non-cloud experts to support the end solution.

Speed is the key to the success of our products. Instead of guessing your next step, data can navigate your path faster to complex business decisions.

With the widespread adoption of cloud technology, data centers play a huge role in running key applications and business processes for organizations around the world. In 2022, the IT spending on data centers is expected to be $227 billion, and $237 billion by 2023. To run these datacenters profitably and deliver quality service to their customers, organizations are constantly trying to squeeze out maximum performance from the hardware.

Ever since it was first introduced, ITIL has become one of the leading frameworks for IT service management. With its clearly defined processes and services as well as logical distribution of roles and responsibilities, ITIL has helped organizations streamline their IT process and deliver value to stakeholders. The framework has helped organizations in their digital transformation by bringing together the stakeholder’s vision and the IT department's implementation.

To protect the availability of the services your customers rely on, AIOps adoption is an imperative for large enterprises. Interlink Software’s AIOps platform applies machine learning to automate ITOps; reducing alert noise, performing event correlation, anomaly detection and root cause determination. As the world emerges from the Covid-19 pandemic, organizations are increasingly embracing the flexibility of home and hybrid working.

Developed and released by Google in 2018 with contributions from IBM, VMWare, Red Hat, and other companies, the Knative project is designed to make it as simple as possible to build, deploy, and scale serverless containers across your existing Kubernetes infrastructure. By operating on top of Google Anthos, Knative for Anthos takes this even further by allowing developers to build and deploy applications across any hybrid environments that include both on-prem and cloud-hosted serverless clusters.

Continuous integration (CI) involves the test automation of feature branches before they are merged to the main Git branch in a project. This ensures that a codebase does not get updated with changes that could break something. Continuous delivery (CD), on the other hand, builds upon CI by automating releases of these branches or the main branch. This allows small incremental updates that reach your users faster, in line with Agile software development philosophy.

AWS ELB (Elastic load balancer) automatically distributes incoming application traffic across multiple targets and virtual appliances in one or more Availability Zones (AZs). That helps you achieve high availability and fault tolerance. In this article, we will share with you some tips that will help you best utilize AWS load balancer. We will also provide insights on the best use cases of ALB and NLB, which are the two most commonly used load balancers.

Kubernetes has become the de-facto container management solution of the last decade—and we have no doubt it will stay that way in the upcoming years. It provides a solid abstraction between the infrastructure layer and applications, so that developers can quickly develop, deploy, and operate their applications. Kubernetes is designed as a set of APIs that work together. If you deploy simple applications and make them run, Kubernetes will do it for you.