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.
The following are 2017 predictions for DevOps from the executive team at Electric Cloud, covering Application Release Automation, Microservices and Containers, Continuous Testing, Secure DevOps and more:
Growing DevOps Adoption
Continued momentum for the growing adoption of DevOps, particularly by large enterprises – as the software delivery pipeline and maturity of the delivery process become key differentiators in the hyper-competitive and dynamic market today, which is largely driven by software innovation. The ROI of a DevOps transformation has been established, and companies now understand that in order to stay competitive they have to get better at delivering software – where DevOps comes in.
Steve Brodie, CEO of Electric Cloud
Application Release Automation Continues to Grow
Within this growing adoption of DevOps, Application Release Automation (ARA) is the hottest category that enterprises are focusing on. This focus on Release Automation is because both businesses and analysts believe this is the area where you can really get the most bang for your buck. In a 2015 Gartner Research DevOps survey of 338 IT business leaders, when asked about what was most important to their company’s DevOps success, the number one item was, by far, ARA. In fact, 60% percent of people pointed to ARA as being the most critical factor in achieving success for their organization’s DevOps initiatives.
Automation is a key enabler for faster, more frequent, deployments , while ensuring quality and service continuity, Gartner also estimates that by 2020, 50% of global enterprises will be adopting ARA. That means in the next three years, half of global enterprises will be turning to DevOps and ARA to fuel their software delivery lifecycle. The question is, will you be amongst them?
Steve Brodie, CEO of Electric Cloud
Consolidation Becomes Critical for Scale, Compliance, Utilization
As DevOps matures, large, complex organizations will focus on finding ways to consolidate and standardize their DevOps processes, tooling and implementation -- in order to scale DevOps throughout the organization (and save costs). To enable developers and an Agile way of working, while ensuring governance, system-level visibility, and organizational control - many are implementing a shared, self-service DevOps Automation platform to enable their end-to-end pipelines. Rather than investing in each team’s software delivery as a “snowflake” set-up, they invest in converging of all teams and applications around shared configurations, pipelines, environments, tooling, processes, security test, etc. This consolidation allows for reusability, improved visibility, security, auditability, and resource utilization - while still being flexible enough to support specific teams’ needs.
Steve Brodie, CEO of Electric Cloud
Microservices and Containers Will Drive Modern Application Delivery
With all these organizations making a change towards DevOps, microservices are a uniquely aligned architecture to help achieve success. This is because microservices enable organizations to architect their solutions around a set of decoupled services — that can each be developed and released independently. Each service focuses on doing just one thing, well, and enabling more rapid time to market, with less interdependencies, to reduce risk.
Going hand in hand with microservices, containers serve as an ideal deployment vehicle. That’s because containers are designed to run one isolated process, with minimal deployment and runtime overhead. What do the stats say about this? Gartner expects that by the end of 2018 50% of enterprises will be running containers in Production.
Anders Wallgren, CTO of Electric Cloud
Continuous Testing will be a big part of DevOps 3.0
Companies adopting DevOps will need to improve their ability to test and perform test automation. As part of that, test acceleration will be a key area of investment - as you start getting more and more automated test suites. The time it takes to run those test suites can be very long, so you’ll see ways of implementing some test acceleration capabilities that can radically reduce the amount of time for some of those tests.
Mohan Dattatreya, GM, Acceleration Solutions at Electric Cloud
Secure DevOps
You are going to see more security verification and more built-in compliance validation checks happening earlier in the lifecycle that are fully integrated with the development process.
Anders Wallgren, CTO of Electric Cloud
Big Data and DevOps come together to create predictive analytics throughout your delivery cycle
One massive thing DevOps tools have accomplished is automation — automating the process as well as automating the configuration. In these pipelines, you’re suddenly creating a ton of data. When you start applying machine learning to this, you can really start to hone in on some interesting data where you can predict failures and identify areas for optimization in your pipeline.
As this emerges a further, you’ll have the ability to set up policies as well. For instance, if something's going to deviate from this policy, you can reject a pipeline run automatically.
Steve Brodie, CEO of Electric Cloud
Supporting Hybrid-Everything
In this fragmented, dynamic and evolving market, organizations need to be ready to support a continued “hybrid” complex state of existence: for their infrastructure, architectures, tooling, processes, release pipelines, and so on. This is particularly true for large, complex organizations, who will need to continue to support monolithic/legacy applications alongside microservices; on premise alongside cloud infrastructure; VMs and containers; traditional application releases alongside CD-type pipelines, etc. This continued state of “hybrid-everything” poses challenges on large-scale operations, and will put continued emphasize on DevOps solutions and patterns that are “future-ready” to support any tool, technology stack, process, or application - in this hyper-hybrid state.
Anders Wallgren, CTO of Electric Cloud
Culture truly recognized as DevOps differentiator
Enterprises sometimes use the same orchestration platform, or a lot of the same tools, but the outcomes are radically different. The differentiator usually comes down to culture. So it's the people that espouse some of these cultural tenets, the shared responsibility, the truly empowered autonomous teams, the can-do attitude, continuous learning that are going to get the best benefits.
Steve Brodie, CEO of Electric Cloud
ITIL adapted for DevOps
We're going to see it accelerate. It will be automated, and what we expect to see is that instead of a change advisory board, it's going to move much more to an auditing model and automatic approval gates, where you're checking, "Did all the automated tests go through, instead of injecting a person in the middle of that?"
Chris Fulton, Professional Services Engineer for Electric Cloud
Configuration Management discovery
Expect to see more discovery there to populate the configuration parameters. And also having the pipelines themselves actually generate the CM and CIs as part of that delivery process.
Anders Wallgren, CTO of Electric Cloud
EVOLUTION OF DEVOPS
Expect to see DevOps evolve to something that's really more Biz, Dev, Ops, Sec, and all other stakeholders in the organization. So collaborating with the business team, collaborating with the security team is going to be very important.
Steve Brodie, CEO of Electric Cloud
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.