HashiCorp
HashiCorp is repositioning HCP Terraform as the accountability layer under AI agents that write infrastructure
A side-by-side editorial comparison of Heroku and PlanetScale — release velocity, themes, recent moves, and the top alternatives to consider.
Runtime bumps most weeks, but a new stack, a stack deprecation and an AI model cull underneath
Heroku's changelog is dominated by runtime maintenance - Node.js, .NET, Python, Ruby, Go and PHP updates land most weeks, often several in a day. Beneath that cadence the platform shipped real structural changes over May and June 2026: Heroku-26 reached general availability while Heroku-22 was deprecated, Heroku Connect opened to independent software vendors, a GitHub Enterprise Cloud integration arrived, Custom Trusted IPs came to Fir Private Spaces, and the CLI moved credential storage into system keychains. On the AI side, Heroku added Claude Opus 4.8 support in late May and then began deprecating select models from Managed Inference and Agents a week later.
PlanetScale is building out Postgres while making every control reachable without the dashboard.
The Postgres line carries the new capability: vectorscale extension support, storage configurable at database creation, out-of-memory alerts by both email and webhook, a customisable log line prefix, a Discovery Tool for evaluating existing databases, and updated pricing for private connection traffic. Database Traffic Control introduced resource budgets and has since gained warning thresholds and CLI management. The surface work is constant — API endpoints for backup policies, maintenance schedules, schema recommendations, deploy-request storage checks and invoice status, a Terraform provider at v1, and an Insights-only MCP server.
Heroku's changelog is dominated by runtime maintenance - Node.js, .NET, Python, Ruby, Go and PHP updates land most weeks, often several in a day. Beneath that cadence the platform shipped real structural changes over May and June 2026: Heroku-26 reached general availability while Heroku-22 was deprecated, Heroku Connect opened to independent software vendors, a GitHub Enterprise Cloud integration arrived, Custom Trusted IPs came to Fir Private Spaces, and the CLI moved credential storage into system keychains. On the AI side, Heroku added Claude Opus 4.8 support in late May and then began deprecating select models from Managed Inference and Agents a week later.
Two things are happening at once. The platform layer is going through a generational turn - a new stack promoted, the previous one deprecated, and enterprise-facing controls (trusted IPs, keychain credentials, ISV access, GitHub Enterprise) filling in around it, which is the profile of a mature PaaS defending its installed base rather than chasing new workloads. The AI layer is behaving differently: adding a frontier model and pruning others within days points at a curated, opinionated inference catalogue rather than a broad marketplace. The relentless buildpack cadence is the constant underneath both.
Expect the Heroku-22 deprecation to progress toward an end-of-life date and further consolidation of the Managed Inference model list. The entries do not indicate what replaces the deprecated models, so whether the AI catalogue is narrowing or being re-based is not yet visible.
The Postgres line carries the new capability: vectorscale extension support, storage configurable at database creation, out-of-memory alerts by both email and webhook, a customisable log line prefix, a Discovery Tool for evaluating existing databases, and updated pricing for private connection traffic. Database Traffic Control introduced resource budgets and has since gained warning thresholds and CLI management. The surface work is constant — API endpoints for backup policies, maintenance schedules, schema recommendations, deploy-request storage checks and invoice status, a Terraform provider at v1, and an Insights-only MCP server.
PlanetScale is doing two things at once: closing the gap between its Postgres offering and its MySQL heritage, and making every operation scriptable. The API, Terraform and MCP work share a single goal — nothing should require the dashboard — and the schema-recommendations feature landing simultaneously as a REST endpoint and an MCP tool is the clearest statement of it. Traffic Control is the exception, launched as a named product surface and then immediately given the same CLI and threshold treatment.
Expect the remaining Postgres parity items and more MCP tools mirroring existing REST endpoints, following the schema-recommendations pattern where both arrived together.
Other DevOps products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with Heroku.
HashiCorp is repositioning HCP Terraform as the accountability layer under AI agents that write infrastructure
Jenkins is shedding weight and hardening deserialization on its weekly train
Gravity Forms 3.0 makes accessible forms the default, not a checkbox someone forgets
Laravel runs two release trains at once, and 13.x is where anything interesting lands.
Bitwarden's server releases are all plumbing right now — flags cleared, billing untangled, invites hardened.
Confluent Platform 8.2 gives Kafka native queueing, removing a standing reason to run a second broker.
Other DevOps products tracked by Sparkpulse, ranked by recent ship velocity. Tap any card for the full editorial trajectory or compare directly with PlanetScale.
Talos 1.14 pulls BGP routing into the OS and locks /var down by default.
A fortnight of bulk operations and a DDEV integration, aimed squarely at agencies
An LTS patch train quietly absorbing security fixes and multi-model AI switching
Jenkins is shedding weight and hardening deserialization on its weekly train
Honeycomb is turning Canvas from an investigation view into the console where the work actually happens
Cohere is shipping a model a month and retiring the old ones just as briskly.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Heroku is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Heroku is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.
Top Heroku alternatives in DevOps are ranked by recent ship velocity. Browse the "Heroku alternatives" section above for the current picks, or visit /alternatives/heroku for the full list with editorial commentary on each.
Top PlanetScale alternatives in DevOps are ranked by recent ship velocity. Browse the "PlanetScale alternatives" section above for the current picks, or visit /alternatives/planetscale for the full list with editorial commentary on each.