Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
DevOps has been increasingly gaining traction over the last few years. Because of its ability to take out the software development and operations teams from the relative silos they have historically operated in and getting them to work together, in turn improving their efficiency, DevOps is currently seeing its widespread adoption throughout the industry.
According to Statista report, the number of organizations that have fully embraced DevOps has grown from 10 percent in 2017 to 17 percent in 2018. While the 2019 numbers are yet to come in, the trend clearly indicates that the adoption of DevOps within the software development community is only going to go up as further advancements take place in the field.
With companies of all sizes right from upcoming startups to well-established enterprises incorporating DevOps practices into their workflows, it is intriguing to uncover what the future of DevOps is going to look like.
As we turn another leaf over the calendar pages and with 2020 just around the corner, here are our top DevOps predictions for 2020 and beyond.
1. Baking security into DevOps
The organizations adopting DevOps have long realized that threats and malicious attacks on the software can occur at any stage of the software lifecycle. The security approach in DevOps needs to go beyond merely scanning and fixing of issues and needs to integrate a proactive approach towards security right from the beginning.
2020 will likely see companies moving more and more towards the adoption of DevSecOps, a security-first approach to the DevOps process. DevSecOps at its core is all about injecting security ever since the culmination of the software development life cycle by decreasing potential vulnerabilities in the software being developed.
Following DevSecOps would enable the development teams to generate code that is secure at a faster rate which streamlines the testing phase thus facilitating the developer workflow throughout the software development life cycle. By eliminating the need to focus on security testing right at the end, the security-first approach propagated by DevSecOps increases the chances of the developers delivering an error-free code and reduces vulnerability in the application.
As an additional measure of security, companies adopting DevOps for seamless application delivery would also proactively engineer failure into their systems by undertaking chaos and resilience engineering. While the shift-left approach in DevOps focuses on introducing testing earlier in the software development life cycle, to ensure robust security in the applications being developed, companies would also be taking on a shift-right approach simultaneously — i.e. testing in the production environment too.
Chaos engineering is all about testing the application for resiliency and figuring out how the app would withstand possible threats by simulating adverse conditions. This includes simulated DDoS attacks, server and data center breakdowns and intentionally injecting faults within the applications to ensure that the teams are better prepared to handle any disruption that occurs.
2. Moving from monolithic architecture to microservices and serverless architecture
Traditionally DevOps teams ran on monolithic architecture in the form of a single unit. The shift towards microservices which comprise of smaller, fragmented and interconnected units has been ongoing over the past few years.
Microservices and DevOps are a natural fit for each other as they both focus on achieving operational efficiency. Since they are an independent unit, the breakdown of one microservice does not affect the other elements. The defects can be isolated and fixed without the breakdown of other elements thus accelerating the speed of application delivery and introducing agility in the development process.
The trend of transformation of the architecture would further increase in 2020 with definitive propulsion towards containerization and moving to the cloud. The typical application architecture comprising of web servers and database servers are soon going to be a thing of the past as they get replaced with containerized and serverless applications.
A serverless architecture relies on third-party services to provide the application backend which significantly reduces the support overhead. Cloud servers do exist but instead of being the responsibility of the operations engineers, managing them falls on the service providers which improves the start-up time and resource utilization in DevOps.
Companies would continue to embrace containers for running cloud-native apps as they would save time, introduce efficiency, reduce the cost and ensure the resilient flow of work while allowing the developers to focus on the core application.
Go to 5 Trends That Are Going To Drive DevOps Forward As 2020 Rolls Around - Part 2
Industry News
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.