Zeer Apache / intent / apache

Apache

1001-5000 employees·Houston, Texas, United States·apacorp.com

Observed, not inferred · updated weekly

Buying intent

32 tracked signals | Top 15 topics are below | Engineering is carrying most of it.

23signals · 30 days
24topics tracked
38.46%attributed to a team

Attention by team

LinkedIn activity, by team

Where Apache's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Executive Education
Emotional Intelligence
Conflict Management
Employee Engagement
Organizational Culture
Artificial Intelligence
Engineering
Medium20% of team Engineering to Executive Education: Medium, 20% of this team's signals
Medium20% of team Engineering to Emotional Intelligence: Medium, 20% of this team's signals
Medium20% of team Engineering to Conflict Management: Medium, 20% of this team's signals
Medium20% of team Engineering to Employee Engagement: Medium, 20% of this team's signals
Medium20% of team Engineering to Organizational Culture: Medium, 20% of this team's signals
Engineering to Artificial Intelligence: no signal
Others
High25% of team Others to Executive Education: High, 25% of this team's signals
Medium13% of team Others to Emotional Intelligence: Medium, 13% of this team's signals
Medium13% of team Others to Conflict Management: Medium, 13% of this team's signals
Medium13% of team Others to Employee Engagement: Medium, 13% of this team's signals
Medium13% of team Others to Organizational Culture: Medium, 13% of this team's signals
High25% of team Others to Artificial Intelligence: High, 25% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Executive Education
LinkedIn
High volume
97%
last
11d ago
Emotional Intelligence
LinkedIn
High volume
98%
last
14d ago
Conflict Management
LinkedIn
High volume
98%
last
14d ago
Employee Engagement
LinkedIn
High volume
98%
last
14d ago
Organizational Culture
LinkedIn
High volume
98%
last
14d ago
Artificial Intelligence
LinkedIn
High volume
96%
last
today
Change Management
LinkedIn
High volume
98%
last
14d ago
Financial Analysis
LinkedIn
Medium volume
98%
last
today
Supply Chain
LinkedIn
Medium volume
92%
last
today
Career Development
LinkedIn
Medium volume
98%
last
30d ago
Cloud Automation
LinkedIn
Medium volume
96%
last
18d ago
U.S. national interests
LinkedIn
Medium volume
98%
last
27d ago
Professional Development
LinkedIn
Medium volume
98%
last
9d ago
App Development
LinkedIn
Medium volume
98%
last
30d ago
Talent Development
LinkedIn
Medium volume
98%
last
9d ago

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Who's active at Apache

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others6 active
researching Emotional Intelligence
in
researching Artificial Intelligence
in
researching Financial Analysis
in
researching Aerospace
in
researching Cancer Research
in
Executiveresearching Executive Education
in
Engineering2 active
researching Executive Education
in
researching Cloud Automation
in
Operations1 active
VPresearching U.S. national interests
in

Primary products / business lines

LinkedIn company profile

Our primary product is energy, and where there is reliable, affordable energy, people are healthier, have access to better education, and are given greater opportunities to elevate their families to higher standards of living. Apache Corporation is a subsidiary of APA Corporation.

New capability sought

Employee posts (LinkedIn)

Employee Engagement; Organizational Culture

Top accounts researching Apache

names withheld on the public page

These are companies whose own people brought up Apache unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

9,271 companies · 35,089 people are researching Executive Education

Apache's own team shows 3 signals on this topic. No one outside Apache has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Emotional Intelligence2,632 cos · 7,699 people
  • Conflict Management362 cos · 1,042 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Apache.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people; Operations — 2 people; Security — 1 person; Leadership — 1 person; IT — 1 person

What's been said

public posts by Apache's team

No public post naming Apache has surfaced in the past year, so this is what Apache's own team is posting about publicly — their topics, in their words.

LinkedIn

Loweh Goodness thank you for sharing which is very informative for those who start to build strong Devsecops.

May 2026
LinkedIn

This GitHub Actions workflow automatically deploys application manifests into a Kubernetes cluster whenever code is pushed to the main branch. Here’s the step-by-step explanation you can give in interviews: GitHub Actions Kubernetes Deployment Workflow Explanation name: Kubernetes Deployment on: push: branches: - main jobs: deploy: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v4 - name: Setup kubectl uses: azure/setup-kubectl@v4 - name: Configure kubeconfig run: | mkdir -p ~/.kube echo "${{ secrets.KUBECONFIG }}" > ~/.kube/config - name: Deploy to Kubernetes run: | kubectl apply -f deployment.yaml kubectl apply -f service.yaml Explanation name: Kubernetes Deployment Defines the workflow name displayed in GitHub Actions. on: push: branches: - main This workflow triggers automatically whenever code is pushed to the main branch. jobs: Defines the tasks executed by the workflow. runs-on: ubuntu-latest GitHub creates a temporary Ubuntu virtual machine runner to execute the pipeline. Checkout Step - name: Checkout uses: actions/checkout@v4 Downloads repository source code into the GitHub Actions runner. Without this step: deployment.yaml service.yaml application code will not be available. Setup kubectl - name: Setup kubectl uses: azure/setup-kubectl@v4 Installs kubectl CLI tool inside the runner machine to interact with the Kubernetes cluster. Configure kubeconfig - name: Configure kubeconfig run: | mkdir -p ~/.kube echo "${{ secrets.KUBECONFIG }}" > ~/.kube/config Creates Kubernetes configuration file securely using GitHub Secrets. The kubeconfig contains: cluster endpoint authentication token certificates Deploy to Kubernetes - name: Deploy to Kubernetes run: | kubectl apply -f deployment.yaml kubectl apply -f service.yaml Deploys Kubernetes manifests into the cluster. deployment.yaml → Creates Pods and Deployments service.yaml → Exposes application service Real-Time CI/CD Flow Developer Pushes Code ↓ GitHub Actions Triggered ↓ Runner VM Created ↓ Repository Checked Out ↓ kubectl Installed ↓ Kubernetes Authentication Configured ↓ Deployment Applied to Cluster Interview Answer “This GitHub Actions workflow automates Kubernetes deployments. Whenever code is pushed to the main branch, GitHub Actions creates a runner, checks out the source code, installs kubectl, configures kubeconfig securely using GitHub Secrets, and deploys Kubernetes manifests using kubectl apply commands.”

May 2026

About this data. Apache (apacorp.com). Department attribution is 38.46%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries