staging-devopsy.kinsta.cloud

Tag: bigpanda

  • BigPanda Extends AIOps Platform to Embrace Generative AI

    BigPanda Extends AIOps Platform to Embrace Generative AI

    BigPanda today added generative artificial intelligence (AI) capabilities to analyze incidents surfaced by its AI for IT operations (AIOps) platform.

    Blair Sibille, field CTO for BigPanda, said Generative AI for Automated Incident Analysis leverages generative AI platforms based on the general-purpose large language models (LLMs) created by OpenAI.

    The goal is to make it simpler for IT teams to discern the root cause of an issue by, for example, taking advantage of summaries of alerts enabled by generative AI to make it simpler for IT professionals of any skill level to understand what requires their most immediate attention, he added. Today, insights are lost in the sea of alerts that often inundate IT teams, Sibille noted.

    BigPanda has been at the forefront of applying machine learning algorithms to automate IT operations management. Now, the company is incorporating external general-purpose LLMs to further augment IT teams, said Sibille.

    As IT environments continue to be more complex, it’s becoming essentially impossible for IT teams to manage them at scale without relying more on automation. AI technologies take automation to another level, but they won’t eliminate the need for DevOps teams to manage IT environments, added Sibille.

    BigPanda claimed generative AI capabilities will make it possible to reduce the amount of time required to resolve tickets by seven minutes each, with an accuracy rate of 95% during beta testing. Over time, those capabilities not only reduce mean-time-to-resolution but also reduce the level of toil that often conspires to burn out DevOps teams, said Sibille.

    At the core of the BigPanda AIOps platform is a data lake capable of consuming data generated by multiple applications and systems. That data then provides the foundation on which machine learning algorithms are applied to surface insights.

    It’s not clear how much generative AI will automate DevOps workflows, but in effect, more IT teams will be able to take advantage of having the equivalent of a DevOps engineer that they can query any time an issue arises using natural language, noted Sibille.

    AI doesn’t mean that IT outages will be completely eliminated, but it does mean they will become a lot less stressful, he added.

    Naturally, there’s a lot of speculation concerning the impact AI will have on DevOps. Some contend it’s only a matter of time before the entire software engineering process is automated. As those advances are made, the cost of building applications will effectively drop to zero. Others argue that AI will simply augment DevOps teams in a way that makes it simpler to manage IT at scale using either the same number or possibly even fewer engineers.

    The one thing that is clear is that AI will soon be pervasive. DevOps teams should start evaluating today which tasks will be automated with an eye toward planning how DevOps roles will evolve as AI advances accelerate.

  • BigPanda Joins the Datadog Marketplace to Deliver AIOps-Powered Event Correlation and Automation for Next-Gen Incident Management

    Existing Partnership Strengthened to Address Growing Demand for Domain-Agnostic AIOps to Support Observability

    New York, NY, May 20, 2021 — BigPanda, Inc., the leader in Event Correlation and Automation powered by AIOps, today announced its SaaS platform, which is integrated with Datadog, Inc. (NASDAQ: DDOG), is now available in the Datadog marketplace, providing access to the in-product integration tile to make BigPanda deployments rapid and intuitive.

    Datadog consolidates metrics, traces, logs, and more, helping organizations scale their cloud environments, troubleshoot potential issues, and provide their customers with excellent digital experiences. Modern IT Ops teams turn to Datadog to help increase visibility across complex IT stacks. With BigPanda, they can correlate alerts from Datadog’s rich observability datasets with data from other third-party or custom tools into context-rich incidents. This significantly reduces alert noise in users’ environments while reducing Mean Time To Resolve (MTTR) and other MTTx metrics.

    “We appreciate the commitment partners make to work together out-of-the-box,” said Caleb Easley, Cloud Monitoring Administrator for water-technology provider, Xylem Inc. “We have a growing set of data feeds coming from Datadog which we need to see in context of the rest of our monitoring data. The integration of Datadog with BigPanda’s Event Correlation and Automation platform made it easier for us to centralize our IT Ops data and make sense of an incident without a heavy lift from our team.”

    “Datadog’s monitoring platform and BigPanda AIOps have both been crucial to delivering on our vision for modern incident management workflows,” said Chris Francosky, Senior Vice President, IT and Innovation at KORE Wireless, a global leader in Internet of Things (“IoT”) solutions and worldwide Connectivity-as-a-Service (“CaaS”). “The fact that IT teams can now access BigPanda on the Datadog marketplace and get BigPanda incident insights fed to the Datadog platform makes their collaboration even more powerful.”

    In its recent 2021 Market Guide for AIOps*, Gartner said, “there is no future of IT operations that does not include AIOps,” and that “as organizations mature in AIOps adoption, they require a single domain-agnostic platform across I&O, DevOps, SRE and, in some cases, security practices.” Datadog customers can now increase the value of their investment in monitoring and observability tools by accessing BigPanda’s domain-agnostic AIOps platform.

    “We’re thrilled to join the Datadog Partner Network and offer our service in the Datadog Marketplace,” said Assaf Resnick, CEO and co-founder at BigPanda. “Today’s IT Operations teams have to support DevOps-led environments which generate constant change and tremendous amounts of data…more than humans can tackle on their own. The combination of Datadog and BigPanda gives those teams domain-agnostic AIOps and automation to help them prevent and resolve incidents faster.”

    The Datadog Marketplace connects Datadog customers with unique technology integrations that allow for more customization and flexibility. The Marketplace is a part of the Datadog Partner Network, which features benefits including access to dedicated sales and marketing resources and premium Datadog product training materials.

    “We’re excited to welcome BigPanda into the Datadog Marketplace, bringing their event correlation and automation offerings into Datadog’s platform,” said Ilan Rabinovitch, Sr. Vice President for Product and Community, Datadog. “With information collected from service dependencies through Datadog APM, BigPanda is able to detect incidents and isolate infrastructure or application changes that may have led to an incident.”

    The BigPanda AIOps platform will provide Datadog customers with three capabilities:

    • Event Correlation: Intelligently correlates alerts from Datadog and other tools, creating a small number of actionable incidents and reducing noise

    • Root Cause Analysis: Surfaces the probable root cause of an incident in real-time, including the likely change that caused it.

    • Level-0 Automation: Shrinks MTTR by automating key incident response workflows, including creating notifications, tickets and war rooms.

    The BigPanda SaaS solution is available on the Datadog Marketplace.

    * Market Guide for AIOps Platforms – Published 6 April 2021 – ID G00735577, by Analysts Pankaj Prasad, Padraig Byrne, Josh Chessman

    Why BigPanda
    BigPanda keeps businesses running with AI that transforms IT data into insight and action. With BigPanda, businesses prevent IT outages, improve incident management and deliver incredible customer experiences.

    Without BigPanda, IT Ops, NOC, and DevOps teams struggle with manual and reactive incident response capabilities that are badly suited for the scale, complexity and velocity of modern IT environments. This results in painful outages, unhappy customers, growing IT headcount and the inability to focus on innovation.

    BigPanda’s platform for Event Correlation and Automation, powered by AIOps, helps Fortune 500 enterprises such as Intel, Cisco, United, Abbott, Marriott and Expedia take a giant step towards Autonomous IT Operations. BigPanda is backed by top-tier investors including Sequoia, Mayfield, Battery, Insight Partners and Greenfield Partners. Visit www.bigpanda.io for more information.

  • TMI: BigPanda Separates the Signal from the Noise

    TMI: BigPanda Separates the Signal from the Noise

    Organizations have struggled for years with the problem of too much information. IT professionals can only address so many issues at one time, but many are faced with an overwhelming volume of alerts to try and review and prioritize. BigPanda thinks it can solve that problem with its event correlation platform.

    If everything is an alert, then nothing is an alert. There has to be some way to separate issues and alerts that really matter so IT teams can prioritize efforts accordingly and address the concerns with the greatest business or security impact. At the same time, though, it’s crucial to minimize or eliminate both false positives and false negatives.

    I spoke with Assaf Resnick, CEO of BigPanda, about the company’s approach to event correlation and why he believes organizations need what his company has to offer. Resnick described the current state and trends in IT infrastructure and IT development, noting DevOps principles and tools have transformed the entire data landscape.

    Customers, he said, are asking themselves, “How do I move away from this monolithic application hierarchy that deploys once a quarter?” The goal, according to Resnick, is not just more reliable uptime, but delivering speed and agility at the same time.

    The BigPanda platform doesn’t try to reinvent the wheel, per se. In fact, it more or less relies on users having other wheels in place. BigPanda sits on top of what a company already has and pulls in data from other platforms such as New Relic or Splunk. It then normalizes and correlates that data so it can spit out results on a scale that mere mortals can comprehend. “Instead of 20,000 alerts from 15 different monitoring tools, I may only have 36 meaningful events,” Resnick said.

    Playtika is one customer taking advantage of the BigPanda solution. Playtika is a digital gaming company that develops social casino games. According to a recent case study, “With BigPanda, Playtika was able to centralize all of its fragmented monitoring tools into a single unified platform that provides instant insight into the health of their IT systems. Moreover, by automatically correlating alerts from multiple systems into high-level incidents, BigPanda enabled Playtika’s IT pros to cut through the noise and quickly detect problematic issues. And as Playtika has acquired companies in recent years, BigPanda has allowed them to consolidate the operations management of these newly acquired companies virtually overnight, with zero migration cost.”

    “We were struggling to work with many different tools in order to monitor the performance of our operations,” said Ella Vidra, director of IT Operations for Playtika. “Investigating alerts across our stack was tedious and time-consuming. We were at risk of missing critical errors that could impact production. BigPanda enables us to centralize our IT monitoring and quickly spot the issues that matter most.”

    The proof is in the proverbial pudding, of course. There have been plenty of solutions that promise to streamline or simplify logging and alerting. It seems as though we now have solutions that are designed to streamline and simplify the results from the solutions that streamline and simplify other logs and alerts. Ultimately, what IT departments need is something that brings attention to major or critical issues so they can be prioritized without ignoring smaller or less crucial alerts at the same time. BigPanda thinks it can be that solution that helps companies pull together input from all sources and boil it down to a prioritized, manageable list.

    — Tony Bradley

  • BigPanda Launches DevOps Tools to Troubleshoot and Maintain Healthy Infrastructure at Scale

    New Product Releases Include Unified Search, Incident Dashboards and Enhanced Integrations with Atlassian JIRA Software, Splunk and Datadog

    PALO ALTO, Calif.–(BUSINESS WIRE)–BigPanda, the Alert Correlation Platform that turns huge volumes of IT data and alerts into consolidated insights for businesses, today announced that it has launched new product updates and technology integrations which give Ops teams the ability to troubleshoot and maintain healthy infrastructure at scale. BigPanda’s platform now includes Unified Search and Incident Dashboards as well as new integrations with Atlassian JIRA Software, Splunk and Datadog.

    “Companies looking to mature their operational processes to better support end customers can now unify and visualize monitoring data across their organizations, drastically reduce mean time to resolution and increase uptime with these new features,“ said Assaf Resnick, CEO of BigPanda.

    Unified Search Provides Smarter Results, Less Noise

    Just released, BigPanda Unified Search is a new way for Ops teams to access alert data from all of their monitoring sources, eliminating the need to conduct parallel investigations within each monitoring tool.

    When a problem materializes in a datacenter, it’s not always clear when or where the failure occurred, and Ops teams may frantically search through tens of thousands of alerts from multiple tools to identify the root cause. BigPanda Unified Search drastically reduces time to investigate by giving users an interactive way to find the most relevant alerts and incidents. It surfaces insights from all sources of monitoring alerts by continuously organizing issues from all common modern and legacy tools, including Nagios, New Relic, AppDynamics, Pingdom, SolarWinds, Site24x7 and CloudWatch.

    Using BigPanda Unified Search, Ops teams can search through historical alerts even if the original monitoring tool does not retain that data and automatically find related incidents that were previously resolved or may still be open.

    Operational Health Dashboards

    Ops teams that need an at-a-glance representation of operational health now have access to the new Incident Dashboard in BigPanda. The new feature allows organizations to visualize the health of applications, services and infrastructure areas with personalized dashboards that enable them to be aware of and respond more quickly to issues that can impact the business.

    The new dashboard feature helps Ops teams answer questions about the overall health of their operations and environments and compare it to historical trends. Each dashboard can be customized with specific indicators, including incident counts by status, the percentage increase or decrease of active incidents, and how the volume of active incidents changed over time.

    BigPanda Enhances Integration with Atlassian JIRA Software and HipChat

    BigPanda’s technology integration with team collaboration software company Atlassian helps Ops teams using Atlassian’s JIRA Software and HipChat products collaborate to solve more problems faster.

    BigPanda enables JIRA Software users to automatically create tickets based on intelligent correlated incidents, which helps them save time, reduce ticket clutter, and get a real-time view of what’s happening so they can deliver better customer service and more reliable apps. With today’s announcement, BigPanda now supports a two-way integration with JIRA Software. This means customers who track development tasks now have the ability to automatically resolve BigPanda incidents when JIRA tickets are closed.

    “Many of JIRA Software’s more than 37,000 customers are manually tracking incident response tasks,” said Dave Meyer, senior product manager, Atlassian. “BigPanda’s JIRA Software integration will connect real-time insights from BigPanda with JIRA Software’s powerful search and workflow to help people resolve incidents faster.”

    Splunk and Datadog Integrations Reduce Alert Noise

    BigPanda also announced it is teaming up with two DevOps pioneers – Splunk and Datadog – to reduce alert noise and provide an alternative to filtering through thousands of redundant alerts, pages and emails.

    BigPanda’s powerful aggregation engine normalizes alerts from Splunk, Datadog and other monitoring systems into a single consolidated incident management center. Then, BigPanda analyzes all alert streams in real time, and it intelligently groups them into a simplified list of high-level incidents so Ops teams can detect critical issues faster.

    Now available in the Splunkbase App Store, the BigPanda App for Splunk allows Ops teams to trigger BigPanda incidents from Saved-Search Alerts by using the Custom Alert Actions capability in the Splunk 6.3 release. This app adds an option to the +Add Actions list in the Splunk user interface, making it easier than ever to correlate all alerts in BigPanda.

    BigPanda’s new integration with Datadog makes it easier to integrate the two systems in minutes and synchronize Datadog alerts with BigPanda incidents. BigPanda features like Environments, AutoShare rules, and Operational Analytics can now be used to help Datadog customers monitor infrastructure and reduce the time required to investigate and resolve issues.

    About BigPanda

    BigPanda’s mission is to keep businesses running by improving how IT teams manage the explosion of IT data they receive every day. BigPanda uses data science to analyze massive volumes of IT alerts from fragmented clouds, applications and systems and turn them into actionable insights. Founded in 2012, the company is backed by Sequoia Capital, Mayfield and Battery Ventures. BigPanda is headquartered in Palo Alto, California. For more information visit www.bigpanda.io or follow BigPanda on Twitter @bigpanda.

    Contacts

    BigPanda:
    Joe Schwartz, 415-902-3300
    joe@bigpanda.io