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.
Nearly 70% of DevOps and security professionals want to cut their tech stack, according to Gitlab's Global DevSecOps Survey. As many teams experience tech stack sprawl and tightening budgets, paring down seems ideal. But be wary — cutting too much can be counterproductive.
IT leaders must walk the line between enabling efficiency with fewer apps and removing crucial functionalities by over-consolidation. Not all tech tools increase complexity — some streamline and improve your stack. In the case of DevOps, efficient and reliable code deployments require a well-defined functional toolchain, which automation capabilities enhance.
The Benefits of Consolidation
Many teams use between six and ten tools, leading to a third of developers spending at least half their time on toolchain integration and maintenance, according to the GitLab survey. Using many applications with similar functionalities hinders productivity because development teams must maintain knowledge of each. A streamlined toolset mitigates some software development complexity. By reducing processes and user interfaces, developers have more time to write code. Smaller tech stacks are also more agile and scalable.
Consolidation drives cost savings, a pressing need for many decision-makers. Additionally, a large tool stack can compromise security by creating more opportunities for bad actors.
However, there is no such thing as an "all-in-one" solution, so you'll never prune your roster down to one. A tech stack that's too lean creates the same problems as one that's too complex. If IT leaders remove necessary tools or replace them with less effective solutions, development teams will find themselves executing more manual tasks, detracting from coding time.
Consolidation Considerations
The organization's end goal should be a smooth software lifecycle with high DORA metrics that generates quality applications. Disparate tools add steps and complexity, but a certain number are required to facilitate an effective process. In this situation, adding a pipeline orchestration solution like continuous deployment is the right move.
While this appears to be layering yet another tool, you're actually providing process control, cohesion and optimized functionality. Each run of the pipeline saves your company money because it automates tasks that would otherwise require manual time and effort. The key difference between new application spend and automation spend is new applications create ongoing maintenance costs while well-designed automation improves existing functions to be more cost-effective and drive business value.
Continuous deployment tools are, in a sense, subtraction by addition. The process validates and ensures integration between deployment tools and functions to seamlessly move code from one stage to the next without manual intervention. Teams can more easily test code in a production-like environment and roll back unhealthy or poor-performing software before it crashes the system. Enforcing consistent validation of production changes saves your company from lost revenue due to downtime from bad changes.
Continuous deployment also saves cloud technology costs by enabling automated tagging so you can understand who is responsible for what infrastructure. This insight enables you to relay optimization advice to the teams that can activate it.
More than half of surveyed teams report deployment challenges caused by too many manual steps and a lack of consistency. Continuous deployment makes releasing updates simple, reliable, predictable and repeatable and requires less manual effort for better customer experience, software performance and business value.
Consolidation is not the only mechanism for cost savings. By cutting too many tools, your team returns to a clunky, inefficient process. Focus on building an efficient and productive stack that maximizes the tools' value and your team's output.
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.