Check Point® Software Technologies Ltd. has been recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Email Security Platforms (ESP).
The following are 2017 predictions for DevOps from the executive team at XebiaLabs, covering Analytics, Monitoring, Big Data, Serverless, Container Orchestration and more:
Analytics and Monitoring Become Critical in Software Development
Analytics and monitoring in software development will become more important. Automated processes produce large amounts of data (just like in IoT), and we're automating software releases more and more. Critical information needed to manage releases is being produced in large volume and scattered over a vast array of tools. Teams will need to be able to summarize that data clearly for business reporting, and identify and highlight unusual or surprising data for further investigation related to operations, usage, what's working/what's not.
Tim Buntel, VP of Products, XebiaLabs
Big Data Presents New Challenges
The number of data science/big data projects will increase and will have their own specific challenges around testing, Continuous Integration and Continuous Delivery. Greater business focus on these projects will reinforce the adoption of cluster managers, since most big data frameworks run on one of these.
Andrew Phillips, VP DevOps Strategy, XebiaLabs
Serverless Architectures Grow in Popularity
Use of Serverless Architectures will expand. Serverless architectures let you run code without provisioning or managing servers, which goes beyond the original promises of PaaS that we have been hearing for years. You don't need a provisioned server, and you don't need an application running all the time. They also provide great horizontal scalability completely automatically. While not new (AWS Lambda was launched in late 2014, for example), next year, we'll start to see them being used more broadly, and not just as an interesting subject for a Meetup talk.
Tim Buntel, VP of Products, XebiaLabs
Next Gen Platforms Focus on Container Orchestration
In 2017, we'll see a new wave of "next gen platform" projects focused on container orchestration frameworks and re-tooled PaaS platforms. Acceptance of the need for a cross-machine resource management and scheduling framework is growing, and the vendor ecosystem is rapidly throwing weight behind this movement. There will also be an increased shift away from defining containers directly, and more towards having containers generated automatically where necessary.
With increased experience of actually implementing next gen platforms and automatically generating containers, there will be greater focus on enterprise concerns, such as access controls, audit trails and network technologies that can implement "virtual firewalls" at the level of the orchestration tier. We'll also start seeing the first wave of "it's much harder than it looks" cases.
Andrew Phillips, VP DevOps Strategy, XebiaLabs
Enterprises Move Apps to New Architectures
Enterprises will invest more in moving apps onto new architectures. The organizational gaps between Legacy (aka "Mature"), Transitioning and Modern application stacks will continue to create stress for companies in areas such as hiring, staff allocation and budgeting. With an increasing number of organizations succeeding at delivering customer-facing solutions on new platforms — for exxample, cloud and containers — companies will invest morre in moving their applications onto these new architectures.
TJ Randall, VP of Customer Success, XebiaLabs
New Way to Define Apps
Defining applications as a set of related processes will be a new de-facto standard. We'll stop defining many apps as essentially "virtual machines definitions," signaling the beginning of the end of the "bake a new AMI for each app version" approach to software delivery.
Andrew Phillips, VP DevOps Strategy, XebiaLabs
Hot Buzzwords: Pipeline and Release Orchestration
Pipeline and release orchestration will be the two hottest buzzwords for the non-Dev folks in the application delivery process, as these approaches provide the consistency in the delivery process that business demands, along with the flexibility that IT teams need to deliver solutions faster.
TJ Randall, VP of Customer Success, XebiaLabs
Derek Langone is CEO of XebiaLabs.
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.