News Roundup, Jan 20, What’s Happening in  AIOps, Observability, and ITOps

1.)  Find out why cloud observability will be paramount for organizations in 2023.

This article by Cryptomania explains why cloud observability will be critical in 2023.

Over the past decade, there has been a solid push to increase agility in enterprise IT to support the digitization of business processes and services. This trend has led to various technological innovations, such as infrastructure virtualization and containerization. However, traditional IT monitoring tools need to be equipped to handle the complexity and vast amount of telemetry data that come with deploying new containerized microservices.

These trends are a part of the cloud-native movement, in which observability is considered the “new monitoring” solution for effectively managing and monitoring the performance of cloud-based systems and services. Therefore, it is essential for IT teams to maintain observability and control when monitoring performance and to ensure a consistent user experience in the cloud, both during the migration process and afterward. Modern observability platforms can process high volumes of data points per second without any reduction in performance, making them well-suited for modern, distributed multi-cloud environments.

Inculcating cloud-native observability tools within legacy cloud architectures can provide valuable insights into an organization’s most expensive types of cloud data and help it identify opportunities for cost savings. It helps organizations identify and decommission idle resources, resulting in significant cost savings. By examining data on cloud traffic, the most expensive types of data, and pricing tiers, businesses can improve their planning and strategically place data and applications to achieve greater efficiency.

2.) Learn how observability designed for data teams unlocks DataOps.

This article by Venturebeat explains how observability designed for data teams can unlock DataOps.

These days, it’s no exaggeration to say that every company is a data company. Not only must today’s data teams deal with the sheer volume of data being ingested daily from a wide array of sources, but they must also be able to manage and monitor the tangle of thousands of interconnected and interdependent data applications.

To get fine-grained insight into performance, cost, and data quality, data teams are forced to cobble together information from a variety of tools. Just how DevOps observability provides the foundational underpinnings to help improve the speed and reliability of the software development lifecycle, DataOps observability can do the same for the data application/pipeline lifecycle. However, DataOps observability as a technology must be designed from the ground up to meet the different needs of data teams.

Extracting, correlating, and analyzing everything at a foundational layer in a data team–centric, workload-aware context delivers five capabilities that are the hallmarks of a mature DataOps observability function:

• End-to-end visibility;
• Situational awareness;
• Actionable intelligence;
• High degree of automation; and
• Proactive governance automation.

As more and more innovative technologies make their way into the modern data stack — and ever more workloads migrate to the cloud — it’s increasingly necessary to have a unified DataOps observability platform.

3.) Here’s why cloud observability will be critical in 2023.

This article by Venturbeat demonstrating why observability will be necessary for organizations in 2023.

The cloud is an ever-growing technology domain that provides numerous advantages over traditional server-based systems and computing capabilities. The shift toward cloud-based architectures has been attractive for many organizations due to its various benefits, such as increased flexibility, efficiency and performance, and the possibility for innovation and new capabilities.

As data becomes more central to the operations of businesses in all industries, the need for effective tools to manage and optimize data-driven processes will only continue to grow. Here are a few reasons why cloud observability will be critical for organizations in 2023 and beyond:

• Enables real-time monitoring and alerting;
• Helps optimize resource usage;
• Supports data privacy and security; and
• Facilitates better decision-making.

One of the significant challenges of implementing cloud observability within cloud architectures is the general need for more skills and expertise. Cost is always a consideration when implementing new technologies, and organizations must weigh the cost of implementing a cloud observability strategy against the potential cost of not having one in place. Therefore, in 2023, cloud services will begin to take on the compliance burden for ITOps teams, automatically determining where data can be processed and stored.

4) Here’s three DevOps tools you should consider for your cloud infrastructure.

This article by DevOps.com found the most widely employed DevOps tool for managing cloud infrastructure is the Bash shell and command language (53%), followed by the Ansible automation platform (47%) and Terraform (40%). Another 27% reported they used tools they developed themselves.

The article also mentions that 58% managed cloud infrastructure entirely on their own rather than relying in part or entirely on some type of managed service.

Lastly, the article also states that 83% have seen spending on cloud infrastructure expenses increase over the last two years, but 23% have no visibility into how much they are actually spending. Well over half (57%) do feel they are paying “a lot” for cloud infrastructure.

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