The global march towards delivering operational resilience across the financial sector steadily continues.
Atri Mandal, HEAL’s AI/ML expert, has written a second blog about the 4P strategy, this time primarily focusing on solution recommendation which gives useful suggestions to the SREs on how to fix problems pro-actively.
Most folks familiar with BigPanda know that automation is a foundational block of our technology. Our platform automates the entire events pipeline with functions including standardizing and deduplicating alerts, cutting down on the volume of incidents, and automated enrichment that provides better context and alert payloads. But these are all part of an inbound flow of events through integrations.
Remember when Slack went down in early January? The three-hour outage, set off by AWS capacity issues, cost the company an untold amount of money. And the effects rippled across the enterprise. The outage devalued the company’s stock and seemed to send all 142,000 of its customers to Twitter to gripe. This high-profile outage is just the most recent of many outages highlighting the critical nature of continuous availability. And there’s only one answer to the problem.
IT Operations is experiencing lightning-fast change right now. From the emergence of cloud computing to the explosion of data—not to mention ever-present cyber threats—every day is a new day for IT Ops. At BigPanda, we’re laser-focused on making life easier for IT Ops teams, which means we’re staying on top of all this change to help IT Ops keep up.
The concept of AIOps is simple: Infuse artificial intelligence(AI) into IT to make operations speedier and more efficient. In theory, AIOps at its best should lead to an autonomous IT environment in which functions can run themselves with little or no human intervention. In practicality, the path to this nirvana state is anything but straightforward and raises several questions. Where should you start? How do you measure the value? Is AI ready to scale across production environments?
ScienceLogic customers are well-aware of the challenges inherent with the growing complexity of their IT infrastructures. That’s why you’re making investments in digital transformation and adopted SL1 as your AIOps platform of choice for your IT operations monitoring and management strategy.
Operational Resilience has always been the goal of any financial institutions IT Team but achieving “always available” and “always secure” is more complicated to achieve than many would expect.
Every IT Ops team uses key performance indicators (KPIs) to track metrics that keep them accountable, improving, and contributing to long-term success. But it’s easy for teams to lose sight of what KPIs to use, how many they should use, and how to derive meaning from them. To shed light on what constitutes a meaningful KPI, Sterling Nostedt, BigPanda’s Value and Adoption advisor, hosted a community conversation which spanned across multiple industries.
Whiskey and Wisdom is a monthly executive-only forum where ITOps leaders can network independently and discuss high-level AIOps and ITOps strategies with their industry peers. In our most recent session, the discussion was geared specifically towards AIOps—its hype and its reality. Here are some quick value takeaways from the conversation.
If you’re an SRE, you might view AIOps with great excitement. By automating complex workflows and troubleshooting processes, AIOps could make your life as an SRE much easier. Alternatively, SREs may choose to view AIOps with disdain. They might think of AIOps as just a fancy buzzword that doesn’t live up to its promises, and that can become a distraction from the SRE tools that really matter. Which perspective is right?
We are excited to be named a Representative Vendor in the domain-agnostic AIOps platforms market in the 2021 Gartner Market Guide for AIOps Platforms. We believe that this validates our unique approach to delivering an observability solution that accelerates your success with: Read our summary of this Gartner research report, below. If you haven’t noticed, AIOps is taking off.
Jeff Dean at Google Brain once said that the most sophisticated AI algorithms succumb to the quality of the dataset they rely on. That's a fancy way of saying: "Garbage in, garbage out." And if your organization is struggling with the effects of dirty data-inaccurate analytics, sub-optimal automations, and persistent problems with IT operations management-chances are you've got visibility gaps in your infrastructure that have you operating with a CMDB filled with inaccurate, incomplete, or obsolete information.
IT operations managers know that data is vital to understanding the health, availability, and reliability of their enterprises, and to making informed decisions about how to run their enterprises at peak efficiency.
What a start to 2022 has been for us all. We are incredibly proud of the continuous innovation, velocity and delivery of new features and functionality. We’ve heard success story after success story from our brilliant customers, each unique in their own way and continue to collaborate with them on our roadmap. So, this March update is for you and a massive thank you. We couldn’t do it without you, and it’s been our honor to be part of your success.
At the beginning of the COVID-19 pandemic, we anticipated a slow-down in IT-related spending. In reality, the opposite occurred. Companies massively expanded their digital offerings using the same IT staff they’d had pre-pandemic, even as the teams lost access to many of their existing tools while working from home. This acceleration put immense pressure on IT teams everywhere, resulting in messy incident management, outages, and a huge shortage of talent.
