Operations | Monitoring | ITSM | DevOps | Cloud

January 2023

Using AIOps for automation and efficiency in observability and IT operations

Artificial intelligence for IT Operations (or AIOps) has been playing an expanding role in helping SREs, DevOps, and developers effectively navigate the challenges around application and infrastructure complexity, pace of change, and data volume that characterize the operations landscape.

What are AIOps use cases?

The past decade has seen organizations embrace AI and data analytics at scale. In 2022, IBM found that 35% of organizations have embraced AI—a 4% increase from 2021. The trend of AI adoption will continue to play out in the next several years across virtually every organizational function. At the vanguard of this movement is AIOps, which sees AI used to improve IT operations (ITOps).

Complement Your Cybersecurity Program with Real-Time IT Operations Monitoring

On October 3, 2022, the U.S. Cybersecurity & Infrastructure Security Agency (CISA) issued Binding Operational Directive (BOD) 23-01, Improving Asset Visibility and Vulnerability Detection on Federal Networks. The directive requires federal civilian executive branch (FCEB) agencies to deliver a series of procedures, reports, and process validations for continuous and comprehensive asset visibility by April 3, 2023. Thereafter, agencies must maintain compliance with the directive.

Unsolicited Opinions About the Latest Forrester Wave on AIOps, Part 2 - A Closer Look Into the Evolution of AIOps

Leading industry analyst firm Forrester recently published research titled The Forrester Wave™: Artificial Intelligence For IT Operations, Q4 2022. This is Forrester's summary of the report: You can find my original post regarding this Wave here: "Unsolicited Opinions About The Latest Forrester Wave on AIOps, Part 1." In this post, I’ll provide context on some of the events that led up to this Forrester Wave. These are my observations and opinions, not Forrester’s.

CES EDGE23: Building a Culture of Change, Are You Willing & Able?

2023 started with a boost of positive energy after attending my first CES EDGE23 federal event sponsored by the GBEF (Government Business Executive Forum). As a sponsor of this year’s EDGE23 conference, I represented ScienceLogic as a co-moderator to a very relevant and thoughtful executive round table on navigating the challenges associated with ‘Continuous IT Modernization’.

Sponsored Post

Using AIOps for Better Adaptive Incident Management

An effective incident management strategy is crucial for any business, especially those offering consumer-facing digital services. This is because when incidents occur, they may be easily detected by your users, impact your reputation, and ultimately affect your bottom line. So, to minimize the reach and severity of incidents, your response needs to be swift and effective. One way to ensure your approach meets these requirements is to implement AIOps.

ScienceLogic Product Tours: Seeing ScienceLogic AIOps in Action

Now you can experience our products—without scheduling a live demo or free trial. The ScienceLogic product tours are designed to give you a self-service ScienceLogic experience, so you can see for yourself first-hand how our AIOps & Observability solutions can help solve your organization’s hardest challenges.

Looking at the Crystal ball for 2023!

It has become cliché to be doing market predictions, but it certainly enables Enterprises to get a pulse on the market, get informed, evaluate and strategize for course correction. My post-pandemic 2021 Predictions, highlighted the coming out party for AI/ML Ecosystem across multiple regulated verticals. My 2022 Predictions discussed the rise of the Data Economy and Data becoming the new source code.

[PODCAST] Episode 1 Season 2; How to successfully build and defend your 2023 ITOps budget

It’s that time of year when ITOps leaders quantify their plans in budgets that must compete with other equally hungry groups for limited corporate resources. How can the thankless task of proactively preventing outages and speeding time to resolution win against funding flashier projects? Real-world facts can make that difference. Some of the major topics Nigel and Craig will discuss is how to help organizations successfully build and defend their 2023 ITOps budget for investments in tooling, headcount, and workflow improvements.

Automating Root Cause Analysis with AIOps

A lot is expected of automation in IT environments in the next few years. By 2024 Gartner predicts IT automation will drive a 20% reduction in unplanned downtime and lower operational costs by 30%. At the same time, the efficiencies generated by IT automation and analytics will allow organizations to refocus 30% of their IT operations management resources from support to “continuous engineering.”

Why DevOps needs an AIOps approach?

This need for AIOps was simmering conveniently and gradually reaching its threshold when the pandemic suddenly hit the world, pushing organizations into remote work. The sudden, global-scale change raised challenges for IT operations teams to monitor and detect incidents in a distributed environment and maintain cybersecurity and compliance. While the pandemic pushed some organizations into the reality of remote work, others were already on their way to digital transformation.

AIOps Essentials: What is AIOps? | AIOps Use Cases with Elastic Observability (1/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems. AIOps can also automate actions based on identified problems using machine learning. In this video series, we demonstrate how to use Elastic to implement AIOps.

AIOps Essentials: How to Reduce Noise in Ingested Telemetry on Elastic | AIOps Use Cases (2/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.

AIOps Essentials: Issue Detection using Anomaly Detection on top of APM | AIOps Use Cases (3/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems

AIOps Essentials: How to use Distributed Tracing for Root Cause Analysis | AIOps Use Cases (4/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.

AIOps Essentials: Automating actions from AIOps analysis | AIOps Use Cases (5/5)

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.

Unsolicited Opinions About the Latest Forrester Wave on AIOps, Part 1

Leading industry analyst firm Forrester just published The Forrester Wave™: Artificial Intelligence For IT Operations, Q4 2022. If you're not familiar with Forrester Waves, they're similar to Gartner Magic Quadrants. However, one advantage of a Wave versus a Magic Quadrant is the Wave provides clients a way to customize the evaluation to suit their use cases.

CDI's evolution with BigPanda: from partner to customer

CDI’s partnership with BigPanda has catapulted them to the forefront of modern IT operations. Through reselling and implementing BigPanda’s technology for customers, CDI saw the remarkable value of the platform and began to integrate it into their own business. In the process, they’ve become a partner and a customer—leveraging the product to transform their own operations in ways that previously seemed unimaginable.

Sponsored Post

Top 10 DevOps Challenges & How AIOps Can Help

DevOps was conceptualized to bridge the collaborative gap between developers and IT operations. Previously, developers worked independently of operations teams, shipping their work to the IT team and moving on. DevOps created a shared sense of ownership of a product, allowing development and ops teams to work in tandem for a more streamlined and efficient workflow.

2022 BigPanda product year in review

The start of a new year often includes reflecting on what you accomplished over the past year and setting new goals for the year ahead. In 2022, BigPanda set big goals to help organizations prevent and resolve IT and service outages through our innovative Incident Intelligence and Automation platform, powered by AIOps. On average, our customers sent us 2.3 billion events and changes per month, with our largest customers by volume sending us approximately 165 million events each.

The State of AIOps: A New Years' Message from Chief Moo Phil Tee

Well, that was fast! Another year has come and gone. It is safe to say 2020, ‘21 and ‘22 were exceptional, and only sometimes for good reasons. But I take heart in society’s steady progress toward digital maturity through it all. Nearly 100% of IT leaders say the pandemic accelerated their organization’s rate of digital transformation.

Using AI & ML to Identify Incident Causation

In this week’s podcast episode, we explore the role of AI and machine learning in incident management and response, including the benefits and potential future of these technologies. We welcome guest, Dan Buckley, Director NMS at Hughes Network Systems, who shares his experiences and insights on the subject, discussing the business value of AI and the current state of the AIOps ecosystem.
Sponsored Post

How to Mitigate Network Risks to Achieve Highly Resilient Business Services

They say change is good. But in IT operations, change is also the number one cause of outages. According to the Uptime Institute, 49% of all service outages are attributed to configuration and change management errors. That's a lot of avoidable headaches. And because errors often have downstream effects, it may not be obvious what caused an outage, resulting in prolonged downtime that affects revenue-generating business services, results in service level agreement (SLA) penalties, and causes a loss of customer trust. And those costs add up quickly. Gartner figures the meter for an average downtime event runs at $5,600 per minute.

Gartner IOCS Blog - Lucid Motors Case Study

Assaf Resnick, CEO and co-founder of BigPanda, sat down with Sanjay Chandra, vice president of information technology at luxury electric automaker Lucid Motors, at Gartner IT IOCS 2022. They discussed Lucid’s unique ITOps journey and how BigPanda helps minimize downtime of critical applications and services. Sanjay is a visionary ITOps leader, responsible for IT, enterprise systems, global infrastructure, operations and security at Lucid Motors.