Check Point® Software Technologies Ltd. has been recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Email Security Platforms (ESP).
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 4 covers cloud and containers.
Start with What Can AIOps Do For DevOps? - Part 1
Start with What Can AIOps Do For DevOps? - Part 2
Start with What Can AIOps Do For DevOps? - Part 3
MANAGING HYBRID CLOUD
In the DevOps life cycle, successful AIOps deployments can help enterprise application teams increase their oversight of hybrid cloud environments and enable DevOps teams to make sense of the copious amount of data that is constantly being generated. The tasks that have been slowing down these teams in the past can now be automated through AI technologies, freeing them to focus on higher-level, mission critical tasks.
Abel GonzalezDirector of Product Marketing, Sumo Logic
Now that applications and cloud services have become foundational to business and the primary mechanism to serve customers, AIOps will play a significant role for DevOps teams in their efforts to improve and optimize app experience continually. Today's modular apps are more distributed than ever, running on a complex network of underlying cloud and Internet infrastructure that traditional app monitoring solutions fail to bridge. AIOps solutions that consider the entire digital supply chain that powers today's apps will provide DevOps teams and developers with the insight they need to baseline and improve performance across all third-party integrations, external networks, and backend dependencies, be it API integrations or cloud-hosted environments, etc. Ultimately, this level of network context and end-to-end performance insight will play a critical role in implementing the large scale feedback loop required to determine what can and should be further automated.
Mike Hicks
Principal Solutions Architect, ThousandEyes
As organizations undergo digital transformations and adopt more agile cloud-based frameworks, AIOps unlocks new processes for IT departments to manage that infrastructure. AIOps is similar to RPA in that it can be leveraged to learn and automate everyday tasks — conserving IT resources and enabling time to be spent on more advanced initiatives. For IT operations, AIOps can surface patterns in infrastructure deployments that empower IT operations with better management and quicker response times.
Ryan Ries
Practice Lead, Data Science and Engineering, Mission
MANAGING CONTAINERS
With the increasing use of containerization, AIOps is critical for IT operations to track all of their deployments and manage new serverless infrastructure.
Ryan Ries
Practice Lead, Data Science and Engineering, Mission
SETTING DYNAMIC THRESHOLDS FOR EACH SERVER
IT Central Station reviewers appreciate being able to use AIOps to set dynamic thresholds for each server.
Russell Rothstein
Founder and CEO, IT Central Station
SECURITY
With the ability of AI/ML taking the manual interaction away from analyzing logs and security events, AIOps/MLOps can offer better turnaround time and better resource scaling while keeping the security posture of applications and APIs at a high level. Vulnerabilities or threats can be mitigated automatically by a well-tuned AI.
Mike Elissen
Developer Advocate, Akamai
AIOps will come in handy especially around security on threat vulnerability management, network security and application security. If AIOps can predict the threats using metadata, the Ops team can be proactive in monitoring those threats and also be ready in case there is a failure.
Vishnu Vasudevan
Head of Product Engineering and Management, Opsera
Industry News
Progress announced its partnership with the American Institute of CPAs (AICPA), the world’s largest member association representing the CPA profession.
Kurrent announced $12 million in funding, its rebrand from Event Store and the official launch of Kurrent Enterprise Edition, now commercially available.
Blitzy announced the launch of the Blitzy Platform, a category-defining agentic platform that accelerates software development for enterprises by autonomously batch building up to 80% of software applications.
Sonata Software launched IntellQA, a Harmoni.AI powered testing automation and acceleration platform designed to transform software delivery for global enterprises.
Sonar signed a definitive agreement to acquire Tidelift, a provider of software supply chain security solutions that help organizations manage the risk of open source software.
Kindo formally launched its channel partner program.
Red Hat announced the latest release of Red Hat Enterprise Linux AI (RHEL AI), Red Hat’s foundation model platform for more seamlessly developing, testing and running generative artificial intelligence (gen AI) models for enterprise applications.
Fastly announced the general availability of Fastly AI Accelerator.
Amazon Web Services (AWS) announced the launch and general availability of Amazon Q Developer plugins for Datadog and Wiz in the AWS Management Console.
vFunction released new capabilities that solve a major microservices headache for development teams – keeping documentation current as systems evolve – and make it simpler to manage and remediate tech debt.
Check Point® Software Technologies Ltd. announced that Infinity XDR/XPR achieved a 100% detection rate in the rigorous 2024 MITRE ATT&CK® Evaluations.
CyberArk announced the launch of FuzzyAI, an open-source framework that helps organizations identify and address AI model vulnerabilities, like guardrail bypassing and harmful output generation, in cloud-hosted and in-house AI models.
Grid Dynamics announced the launch of its developer portal.
LTIMindtree announced a strategic partnership with GitHub.