DevOps trends for 2025: what you need to know to stay ahead

Why is it important to act now?

Ignoring these trends means losing speed to market, reducing resilience to incidents, and risking user trust. If you were planning to put off reading this, don't. Your competitors may already have outsourced DevOps and are implementing one of these approaches.

GitOps is becoming the standard

GitOps is no longer a buzzword, but the new norm. According to the CNCF Annual Survey 2024, 64% of companies have already implemented GitOps approaches, and 81% of them have seen an increase in infrastructure reliability and a reduction in change rollback time. 

GitOps is an infrastructure and application management methodology that uses Git as the single source of truth, where all desired system states are described declaratively in code and stored in a Git repository. The main differences of GitOps are strict declarativeness, immutable version control, and automatic pull of changes by agents, which increases the transparency, reproducibility, and security of infrastructure management compared to traditional approaches. Popular GitOps tools include Kubernetes' own technologies, ArgoCD and FluxCD.

DevSecOps: security from the first commit

Security is no longer the “final stage of testing.” It is built into every stage of development.

45% of attacks in 2024 were related to vulnerabilities in CI/CD pipelines (according to Palo Alto Networks). Companies that have implemented DevSecOps practices have reduced the risk of data leaks by 60%.

Key DevSecOps tools:

• SAST/DAST: Checkmarx, SonarQube, Semgrep, GitHub Advanced Security
• IaC scanning: Checkov, TFSec, KICS
• Secret management: HashiCorp Vault, Doppler, AWS Secrets Manager, Azure Key Vault

We implemented GitHub Advanced Security and Semgrep in the CI/CD of a large e-commerce project. In the first month, the system blocked 12 builds with critical vulnerabilities and detected 8 credential leaks in historical commits. At the same time, the implementation of Checkov and TFSec for Terraform configurations prevented 3 potential incidents with misconfigured S3 buckets and IAM roles. We switched to HashiCorp Vault for secret management, which completely eliminated the storage of sensitive data in code. The result: zero security incidents in production in the last quarter with a 30% increase in release speed.

Alexander Kirillov CTO Evrone

Platform Engineering — a new strategic focus

Platform Engineering is not just a DevOps platform, but a full-fledged engineering discipline focused on creating internal developer platforms (IDPs) that accelerate development without compromising quality and security. Gartner predicts that by 2026, 80% of software development companies will move to internal development platforms (IDPs). 

Why it matters:

Traditionally, DevOps teams are overloaded: they are asked to maintain CI/CD pipelines, manage infrastructure, and help developers. This slows down scaling.

Platform Engineering solves this problem by creating self-service platforms that allow developers to independently deploy environments, run pipelines, and manage logs and monitoring.

Typical IDP architecture:

• Frontend: Backstage or Port
• Orchestration: Kubernetes
• Deployment: ArgoCD or FluxCD
• IaC: Terraform / Pulumi
• Cloud base: AWS, Azure, or GCP
• Policy Management: OPA, Kyverno

Event-Driven Architecture for DevOps

Traditional CI/CD pipelines are based on rigid cron timers and manual triggers. They do not scale to the requirements of clouds and microservices.

Event-Driven Architecture (EDA) is an architecture in which pipelines and operations automatically respond to events: commits, infrastructure changes, incidents, new artifacts.

How it works:

• An event (e.g., a push to GitHub or a new artifact appearing in the registry) triggers an automatic deployment.
• Automatic rollback is enabled in case of errors using Cloud Functions or Lambda.
• Pipeline management via Kafka, EventBridge, or Pub/Sub.

Examples of tools:

• CI/CD: Tekton, Argo Workflows
• Event Bus: AWS EventBridge, Google Pub/Sub, Kafka
• Serverless orchestration: AWS Step Functions, Azure Durable Functions
• Advantage: reduces the time between an error occurring and being fixed from several hours to minutes, especially in zero-downtime deployment scenarios.

Serverless is ready for enterprise

Serverless has long been considered a “toy” for startups, but in 2025 it is actively entering enterprise practice. The reason is the maturity of tools, improved security, and scalability.

In 2024, the adoption of serverless technologies grew by 25%, and the average time to production for a serverless function was less than 10 minutes, with lower operating costs than microservices.

What has changed:

• Support for VPC, IAM policies, monitoring, and testing at production-grade levels
• The emergence of serverless DevOps infrastructures, fully managed through IaC

When serverless is justified:

• API integrations and webhook handlers
• Background tasks (ETL, image/video processing)
• Incident management and automatic rollback
• ML inference and scheduled report generation

Typical stack:

• Compute: AWS Lambda, Google Cloud Functions, Azure Functions
• Orchestration: AWS Step Functions, Temporal
• IaC: Serverless Framework, Terraform, Pulumi
• Monitoring: Datadog, Sentry, AWS X-Ray

AI/ML in DevOps: from automation to predictions

AI/ML is not about pretty statistics, but about automating real tasks and preventing problems before they arise. In 2024, 76% of DevOps teams will have integrated AI into their CI/CD workflows.

Where AI is already working in DevOps:

• Automatic vulnerability remediation: a scanner detects a problem, a bot opens a PR with a fix and runs tests.
• Predictive monitoring: AI analyzes application behavior and warns in advance of deviations that could lead to an incident.
• IaC code generation based on infrastructure descriptions or repositories.

Examples of tools:

• CI/CD automation with AI: Harness AI, GitHub Copilot as a developer assistant
• ML for monitoring: Datadog Watchdog, Dynatrace Davis, New Relic Lookout
• Auto-remediation: Shoreline, PagerDuty AIOps

AI assistants help you manage configuration and make changes faster. This helps reduce the load on DevOps engineers and speeds up response to unusual situations, especially in distributed environments.

Observability 2.0: understanding instead of graphs

Simply seeing metrics is not enough. You need to understand why they are changing and what caused the changes. According to Splunk, mature observability reduces MTTR (mean time to recovery) by 40%. 

Observability 2.0 is:

• Correlation of metrics, logs, and traces
• Linking events to code changes (Change Intelligence)
• Automatic incident prioritization

What modern observability includes:

• Tracing: OpenTelemetry, Jaeger, AWS X-Ray
• Behavior analytics: Dynatrace, Datadog, New Relic
• CI/CD Awareness: Coralogix, Honeycomb, Codefresh CI Insights

Infrastructure as Code 2.0

IaC has gone beyond simple YAML files. Today, it is part of a complete engineering practice that includes testing, validation, and security. Why is this critical? In large-scale products, errors in IaC can cost tens of thousands of dollars due to incorrect cluster, IAM, or VPC configurations.

IaC 2.0 allows these risks to be minimized.

What's included in IaC 2.0:

• Full-featured DSLs/languages: CDK, Pulumi, Bicep
• Policy-as-Code: automatic infrastructure policy enforcement (OPA, Sentinel)
• Integration with CI/CD: every pull request in IaC is verified, tested, and deployed

Why act now?

DevOps is not a toy for engineers, but a business tool. It not only helps deliver functionality faster and protect customer data, but also scales without chaos.

Investing in DevOps today means saving hundreds of engineering hours and thousands of dollars in cloud costs tomorrow.

The bottom line: the future is already here

DevOps in 2025 isn't about bash scripts and Jenkins. It's about speed, reliability, and system maturity. Companies that are implementing these approaches now are gaining a real advantage: faster releases, fewer incidents, and, as a result, happy teams and users.

Contact our team: we will audit your current infrastructure, determine the maturity of your processes, and develop a clear roadmap for the development of DevOps practices.