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.
By definition, DevOps encourages communication and collaboration between development and operations teams – but if not done properly, it can cause friction. This resistance is due to conflicting priorities: developers prioritize speed so they can accelerate rollouts and increase innovation, while operations professionals prefer to be a bit more cautious, with accuracy being of the upmost importance.
Achieving greater synergies between the Dev and Ops teams doesn't happen overnight, but it is possible to fast track the process with the right technologies in place. One such technology is IT automation. With IT automation, it is possible to automate tests, orchestrate automated notifications to initiate the next manual intervention, and even leverage change management tools to maximize the efficiency of those manual interventions.
However, in order to reap the benefits of IT automation, the key is to implement automation from the start, not as an afterthought. This is what we call taking a systematic approach to automation.
Implementing IT Automation Early
Organizations tend to not think about ways to leverage automation to improve processes until after they're already in progress, or even after they're completed.
Ronni Colville, a VP and distinguished analyst for Gartner, explained this problem in a webinar on automation: "Organizations are taking an ‘opportunistic' approach to IT automation by identifying individual automation opportunities as they arise and implementing platform-specific tools to solve a specific problem."
She goes on to explain how this "opportunistic" approach leads to unnecessary complexity and wasted money and resources. In reality, if automation isn't thought about in the beginning, it gets pushed aside and it falls to the bottom of the list.
The alternative to this opportunistic approach is taking a top-down, policy-driven automation strategy, also known as a systematic approach. When IT automation is incorporated at the onset, disparate systems and processes are able to be connected more seamlessly, and it is possible to gain a centralized view of operations at the project, organizational and enterprise level. This not only allows for processes to be expedited from start to finish, but it also leads to stronger governance and greater scalability.
Automating the Right Processes
Automation should be implemented at the beginning of processes, but that doesn't mean it should be applied to all processes.
Discussing which processes should be automated, Gartner research VP Cathy Tornbohm said, "The way I think about it is: If I had an army of people, what could I do better?"
She advised organizations to start by automating back-office activities that would be impractical and laborious to handle manually. This includes routine processes, such as maintenance, testing and cleanup tasks. Automating these time-consuming processes relieves the burden from the IT team, allowing IT staffers to focus on mission-critical infrastructure projects and other higher-level tasks.
In addition to routine processes, automation can also expedite many of the steps required to move from code to production – a key reason why IT automation is so valuable in DevOps. For example, IT automation can trigger a build, deploy the build to the test environment, run the test suite and, given the testing meets the criteria that is predetermined to be acceptable, promote the build to production. In case there are issues during any of these processes, IT automation solutions provide automated monitoring and alerting capabilities that can send the notifications mentioned above to the person / people responsible for handling the issue. This minimizes delays, improves collaboration and ultimately leads to more efficient rollouts.
While IT automation is only one piece in the puzzle of effective DevOps, it's a critical tool for managing the teams involved and more quickly achieving successful rollouts – a common priority for all.
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.